From bd1c95cb0de4dd5b5d5fe34ad9059dc463460841 Mon Sep 17 00:00:00 2001 From: tvalentyn Date: Mon, 2 Oct 2023 16:49:36 -0700 Subject: [PATCH 01/32] Better flag documentation. (#28753) --- .../runners/dataflow/dataflow_runner.py | 20 +++++++------------ 1 file changed, 7 insertions(+), 13 deletions(-) diff --git a/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py b/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py index 950bff768ef4..7ad6ab04be68 100644 --- a/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py +++ b/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py @@ -97,10 +97,6 @@ def __init__(self, cache=None): def is_fnapi_compatible(self): return False - def apply(self, transform, input, options): - _check_and_add_missing_options(options) - return super().apply(transform, input, options) - @staticmethod def poll_for_job_completion( runner, result, duration, state_update_callback=None): @@ -496,10 +492,6 @@ def _get_coder(typehint, window_coder): coders.registry.get_coder(typehint), window_coder=window_coder) return coders.registry.get_coder(typehint) - # TODO(srohde): Remove this after internal usages have been removed. - def apply_GroupByKey(self, transform, pcoll, options): - return transform.expand(pcoll) - def _verify_gbk_coders(self, transform, pcoll): # Infer coder of parent. # @@ -589,12 +581,14 @@ def _check_and_add_missing_options(options): sdk_location = options.view_as(SetupOptions).sdk_location if 'dev' in beam.version.__version__ and sdk_location == 'default': raise ValueError( - "When launching Dataflow Jobs with an unreleased SDK, " + "You are submitting a pipeline with Apache Beam Python SDK " + f"{beam.version.__version__}. " + "When launching Dataflow jobs with an unreleased (dev) SDK, " "please provide an SDK distribution in the --sdk_location option " - "to use consistent SDK version at " - "pipeline submission and runtime. To ignore this error and use the " - "SDK installed in Dataflow dev containers, use " - "--sdk_location=container.") + "to use a consistent SDK version at " + "pipeline submission and runtime. To ignore this error and use " + "an SDK preinstalled in the default Dataflow dev runtime environment " + "or in a custom container image, use --sdk_location=container.") # Streaming only supports using runner v2 (aka unified worker). # Runner v2 only supports using streaming engine (aka windmill service) From 71c8459633ec86e576eca080a26be9f42474ecb2 Mon Sep 17 00:00:00 2001 From: pablo rodriguez defino Date: Mon, 2 Oct 2023 17:07:58 -0700 Subject: [PATCH 02/32] [Blog Post] Apache Beam for a content discovery platform (#28734) Co-authored-by: Rebecca Szper <98840847+rszper@users.noreply.github.com> Co-authored-by: nams113 <39890215+nams113@users.noreply.github.com> --- ...i-content-discovery-platform-genai-beam.md | 338 ++++++++++++++++++ website/www/site/data/authors.yml | 6 + .../blog/dyi-cdp-genai-beam/cdp-arch.png | Bin 0 -> 271543 bytes .../blog/dyi-cdp-genai-beam/cdp-highlevel.png | Bin 0 -> 31242 bytes .../blog/dyi-cdp-genai-beam/pipeline-1.png | Bin 0 -> 146525 bytes .../pipeline-2-extractcontent.png | Bin 0 -> 130427 bytes .../pipeline-3-errorhandling.png | Bin 0 -> 112800 bytes .../pipeline-4-processembeddings1.png | Bin 0 -> 49246 bytes .../pipeline-4-processembeddings2.png | Bin 0 -> 58035 bytes .../pipeline-5-storecontent.png | Bin 0 -> 74751 bytes .../pipeline-6-refresh1.png | Bin 0 -> 74889 bytes .../pipeline-6-refresh2.png | Bin 0 -> 72757 bytes .../pipeline-6-refresh3.png | Bin 0 -> 53972 bytes 13 files changed, 344 insertions(+) create mode 100644 website/www/site/content/en/blog/dyi-content-discovery-platform-genai-beam.md create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/cdp-arch.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/cdp-highlevel.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-1.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-2-extractcontent.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-3-errorhandling.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-4-processembeddings1.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-4-processembeddings2.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-5-storecontent.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-6-refresh1.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-6-refresh2.png create mode 100644 website/www/site/static/images/blog/dyi-cdp-genai-beam/pipeline-6-refresh3.png diff --git a/website/www/site/content/en/blog/dyi-content-discovery-platform-genai-beam.md b/website/www/site/content/en/blog/dyi-content-discovery-platform-genai-beam.md new file mode 100644 index 000000000000..8057374591d7 --- /dev/null +++ b/website/www/site/content/en/blog/dyi-content-discovery-platform-genai-beam.md @@ -0,0 +1,338 @@ +--- +layout: post +title: "DIY GenAI Content Discovery Platform with Apache Beam" +date: 2023-09-27 00:00:01 -0800 +categories: + - blog +authors: + - pabs + - namitasharma +--- + + +# DIY GenAI Content Discovery Platform with Apache Beam + +Your digital assets, such as documents, PDFs, spreadsheets, and presentations, contain a wealth of valuable information, but sometimes it's hard to find what you're looking for. This blog post explains how to build a DIY starter architecture, based on near real-time ingestion processing and large language models (LLMs), to extract meaningful information from your assets. The model makes the information available and discoverable through a simple natural language query. + +Building a near real-time processing pipeline for content ingestion might seem like a complex task, and it can be. To make pipeline building easier, the Apache Beam framework exposes a set of powerful constructs. These constructs remove the following complexities: interacting with multiple types of content sources and destinations, error handling, and modularity. They also maintain resiliency and scalability with minimal effort. You can use an Apache Beam streaming pipeline to complete the following tasks: + +- Connect to the many components of a solution. +- Quickly process content ingestion requests of documents. +- Make the information in the documents available a few seconds after ingestion. + +LLMs are often used to extract content and summarize information stored in many different places. Organizations can use LLMs to quickly find relevant information disseminated in multiple documents written across the years. The information might be in different formats, or the documents might be too long and complex to read and understand quickly. Use LLMs to process this content to make it easier for people to find the information that they need. + +Follow the steps in this guide to create a custom scalable solution for data extraction, content ingestion, and storage. Learn how to kickstart the development of a LLM-based solution using Google Cloud products and generative AI offerings. Google Cloud is designed to be simple to use, scalable, and flexible, so you can use it as a starting point for further expansion or experimentation. + +### High-level Flow + +In this workflow, content uptake and query interactions are completely separated. An external content owner can send documents stored in Google Docs or in a binary text format and receive a tracking ID for the ingestion request. The ingestion process gets the content of the document and creates chunks that are configurable in size. Each document chunk is used to generate embeddings. These embeddings represent the content semantics, in the form of a vector of 768 dimensions. Given the document identifier and the chunk identifier, you can store the embeddings in a Vector database for semantic matching. This process is central to contextualizing user inquiries. + +Content Discovery Platform Overview + +The query resolution process doesn't depend directly on information ingestion. The user receives relevant answers based on the content ingested until the moment of the query request. Even if the platform doesn't have any relevant content stored, the platform returns an answer stating that it doesn't have relevant content. Therefore, the query resolution process first generates embeddings from the query content and from the previously existing context, like previous exchanges with the platform, then matches these embeddings with the existing embedding vectors stored from the content. When the platform has positive matches, it retrieves the plain-text content represented by the content embeddings. Finally, by using the textual representation of the query and the textual representation of the matched content, the platform formulates a request to the LLM to provide a final answer to the original user inquiry. + +## Components of the solution + +Use the low-ops capabilities of the Google Cloud services to create a set of highly scalable features. You can separate the solution into two main components: the service layer and the content ingestion pipeline. The service layer acts as the entry point for document ingestion and user queries. It’s a simple set of REST resources exposed through Cloud Run and implemented by using [Quarkus](https://quarkus.io/) and the client libraries to access other services (Vertex AI models, Cloud Bigtable and Pub/Sub). The content ingestion pipeline includes the following components: + +* A streaming pipeline that captures user content from wherever it resides. +* A process that extracts meaning from this content as a set of multi-dimensional vectors (text embeddings). +* A storage system that simplifies context matching between knowledge content and user inquiries (a Vector Database). +* Another storage system that maps knowledge representation with the actual content, forming the aggregated context of the inquiry. +* A model capable of understanding the aggregated context and, through prompt engineering, delivering meaningful answers. +* HTTP and gRPC-based services. + +Together, these components provide a comprehensive and simple implementation for a content discovery platform. + +## Workflow Architecture + +This section explains how the different components interact. + +### Dependencies of the components + +The following diagram shows all of the components that the platform integrates with. It also shows all of the dependencies that exist between the components of the solution and the Google Cloud services. + +Content Discovery Platform Interactions + +As seen in the diagram, the context-extraction component is the central aspect in charge of retrieving the document’s content, also their semantic meaning from the embedding’s model and storing the relevant data (chunks text content, chunks embeddings, JSON-L content) in the persistent storage systems for later use. PubSub resources are the glue between the streaming pipeline and the asynchronous processing, capturing the user ingestion requests, retries from potential errors from the ingestion pipeline (like the cases on where documents have been sent for ingestion but the permission has not been granted yet, triggering a retry after some minutes) and content refresh events (periodically the pipeline will scan the ingested documents, review the latest editions and define if a content refresh should be triggered). + +The context-extraction component retrieves the content of the documents, diving it in chunks. It also computes embeddings, using the LLM interaction, from the extracted content. Then it stores the relevant data (chunks text content, chunks embeddings, JSON-L content) in the persistent storage systems for later use. Pub/Sub resources connect the streaming pipeline and the asynchronous processing, capturing the following actions: +- user ingestion requests +- retries from errors from the ingestion pipeline, such as when documents are sent for ingestion but access permissions are missing +- content refresh events (periodically the pipeline scans the ingested documents, reviews the latest editions, and decides whether to trigger a content refresh) + +Also, CloudRun plays an important role exposing the services, interacting with many Google Cloud services to resolve the user query or ingestion requests. For example, while resolving a query request the service will: +- Request the computation of embeddings from the user’s query by interacting with the embeddings model +- Find near neighbor matches from the Vertex AI Vector Search (formerly Matching Engine) using the query embeddings representation +- Retrieve the text content from BigTable for those matched vectors, using their identifier, in order contextualize a LLM prompt +- And finally create a request to the VertexAI Chat-Bison model, generating the response the system will delivery to the user’s query. + +### Google Cloud products + +This section describes the Google Cloud products and services used in the solution and what purpose they serve. + +**Cloud Build:** All container images, including services and pipelines, are built directly from source code by using Cloud Build. Using Cloud Build simplifies code distribution during the deployment of the solution. + +**CloudRun:** The solution's service entry points are deployed and automatically scaled by CloudRun. + +**Pub/Sub:** A Pub/Sub topic and subscription queue all of the ingestion requests for Google Drive or self-contained content and deliver the requests to the pipeline. + +**Dataflow:** A multi-language, streaming Apache Beam pipeline processes the ingestion requests. These requests are sent to the pipeline from the Pub/Sub subscription. The pipeline extracts content from Google Docs, Google Drive URLs, and self-contained binary encoded text content. It then produces content chunks. These chunks are sent to one of the Vertex AI foundational models for the embedding representation. The embeddings and chunks from the documents are sent to Vertex AI Vector Search and to Cloud Bigtable for indexing and rapid access. Finally, the ingested documentation is stored in Google Cloud Storage in JSON-L format, which can be used to fine-tune the Vertex AI models. By using Dataflow to run the Apache Beam streaming pipeline, you minimize the ops needed to scale resources. If you have a burst on ingestion requests, Dataflow can keep the latency less than a minute. + +**Vertex AI - Vector Search:** [Vector Search](https://cloud.google.com/vertex-ai/docs/matching-engine/overview) is a high-performance, low-latency vector database. These vector databases are often called vector similarity search or approximate nearest neighbor (ANN) services. We use a Vector Search Index to store all the ingested documents embeddings as a meaning representation. These embeddings are indexed by chunk and document id. Later on, these identifiers can be used to contextualize the user queries and enrich the requests made to a LLM by providing knowledge extracted directly from the document’s content mappings stored on BigTable (using the same chunk-document identifiers). + +**Cloud BigTable:** This storage system provides a low latency search by identifier at a predictable scale. Is a perfect fit, given the low latency of the requests resolution, for online exchanges between user queries and the platform component interactions. It used to store the content extracted from the documents since it's indexed by chunk and document identifier. Every time a user makes a request to the query service, and after the query text embeddings are resolved and matched with the existing context, the document and chunk ids are used to retrieve the document’s content that will be used as context to request an answer to the LLM in use. Also, BigTable is used to keep track of the conversational exchanges between users and the platform, furthermore enriching the context included on the requests sent to the LLMs (embeddings, summarization, chat Q&A). + +**Vertex AI - Text Embedding Model:** [Text embeddings](https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/text-embeddings) are a condensed vector (numeric) representation of a piece of text. If two pieces of text are semantically similar, their corresponding embeddings will be located close together in the embedding vector space. For more details please see [get text embeddings](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings). These embeddings are directly used by the ingestion pipeline when processing the document’s content and the query service as an input to match the users query semantic with existing content indexed in Vector Search. + +**Vertex AI - Text Summarization Model:** [Text-bison](https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/text) is the name of the PaLM 2 LLM that understands, summarizes and generates text. The types of content that text-bison can create include document summaries, answers to questions, and labels that classify the provided input content. We used this LLM to summarize the previously maintained conversation with the goal of enriching the user’s queries and better embedding matching. In summary, the user does not have to include all the context of his question, we extract and summarize it from the conversation history. + +**Vertex AI - Text Chat Model:** [Chat-bison](https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/text-chat) is the PaLM 2 LLM that excels at language understanding, language generation, and conversations. This chat model is fine-tuned to conduct natural multi-turn conversations, and is ideal for text tasks about code that require back-and-forth interactions. We use this LLM to provide answers to the queries made by users of the solution, including the conversation history between both parties and enriching the model’s context with the content stored in the solution. + +### Extraction Pipeline + +The content extraction pipeline is the platform's centerpiece. It takes care of handling content ingestion requests, extracting documents content and computing embeddings from that content, to finally store the data in specialized storage systems that will be used in the query service components for rapid access. + +#### High Level View + +As previously mentioned the pipeline is implemented using Apache Beam framework and runs in streaming fashion on GCP's [Dataflow](https://cloud.google.com/dataflow) service. + +By using Apache Beam and Dataflow we can ensure minimal latency (sub minute processing times), low ops (no need to manually scale up or down the pipeline when traffic spikes occur with time, worker recycle, updates, etc.) and with high level of observability (clear and abundant performance metrics are available). + +Apache Beam Pipeline + +On a high level, the pipeline separates the extraction, computing, error handling and storage responsibilities on different components or PTransforms. As seen in the diagram, the messages are read from a PubSub subscription and immediately afterwards are included in the window definition before the content extraction. + +Each of those PTransforms can be expanded to reveal more details regarding the underlying stages for the implementation. We will dive into each in the following sections. + +The pipeline was implemented using a multi-language approach, with the main components written in the Java language (JDK version 17) and those related with the embeddings computations implemented in Python (version 3.11) since the Vertex AI API clients are available for this language. + +#### Content Extraction + +The content extraction component is in charge of reviewing the ingestion request payload and deciding (given the event properties) if it will need to retrieve the content from the event itself (self-contained content, text based document binary encoded) or retrieve it from Google Drive. + +Pipeline's Content Extraction + +In case of a self-contained document, the pipeline will extract the document id and format the document in paragraphs for later embedding processing. + +When in need of retrieval from Google Drive, the pipeline will inspect if the provided URL in the event refers to a Google Drive folder or a single file format (supported formats are Documents, Spreadsheets and Presentations). In the case of a folder, the pipeline will crawl the folder’s content recursively extracting all the files for the supported formats, in case of a single document will just return that one. + +Finally, with all the file references retrieved from the ingestion request, textual content is extracted from the files (no image support implemented for this PoC). That content will also be passed to the embedding processing stages including the document’s identifier and the content as paragraphs. + +#### Error Handling + +On every stage of the content extraction process multiple errors can be encountered, malformed ingestion requests, non-conformant URLs, lack of permissions for Drive resources, lack of permissions for File data retrieval. + +In all those cases a dedicated component will capture those potential errors and define, given the nature of the error, if the event should be retried or sent to a dead letter GCS bucket for later inspection. + +Pipeline's Error Handling + +The final errors, or those which won’t be retried, are those errors related with bad request formats (the event itself or the properties content, like malformed or wrong URLs, etc.). + +The retryable errors are those related with content access and lack of permissions. A request may have been resolved faster than the manual process of providing the right permissions to the Service Account that runs the pipeline to access the resources included in the ingestion request (Google Drive folders or files). In case of detecting a retryable error, the pipeline will hold the retry for 10 minutes before re-sending the message to the upstream PubSub topic; each error is retried at most 5 times before being sent to the dead letter GCS bucket. + +In all cases of events ending on the dead letter destination, the inspection and re-processing must be done in a manual process. + +#### Process Embeddings + +Once the content has been extracted from the request, or captured from Google Drive files, the pipeline will trigger the embeddings computation process. As previously mentioned the interactions with the Vertex AI Foundational Models API is implemented in Python language. For this reason we need to format the extracted content in Java types that have a direct translation to those existing in the Python world. Those are key-values (in Python those are 2-element tuples), Strings (available in both languages), and iterables (also available in both languages). We could have implemented coders in both languages to support custom transport types, but we opted out of that in favor of clarity and simplicity. + +Before computing the content’s embeddings we decided to introduce a Reshuffle step, making the output consistent to downstream stages, with the idea of avoiding the content extraction step being repeated in case of errors. This should avoid putting pressure on existing access quotas on Google Drive related APIs. + +The pipeline will then chunk the content in configurable sizes and also configurable overlapping, good parameters are hard to get for generic effective data extraction, so we opted to use smaller chunks with small overlapping factor as the default settings to favor diversity on the document results (at least that’s what we see from the empirical results obtained). + +

+ Embeddings Processing + Embeddings Processing +

+ +Once the embeddings vectors are retrieved from the embeddings Vertex AI LLM, we will consolidate them again avoiding repetition of this step in case of downstream errors. + +Worth to notice that this pipeline is interacting directly with Vertex AI models using the client SDKs, Apache Beam already provides supports for this interactions through the RunInference PTransform (see an example [here](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/inference/vertex_ai_llm_text_classification.py)). + +#### Content Storage + +Once the embeddings are computed for the content chunks extracted from the ingested documents, we need to store the vectors in a searchable storage and also the textual content that correlates with those embeddings. We will be using the embeddings vectors as a semantic match later from the query service, and the textual content that corresponds to those embeddings for LLM context as a way to improve and guide the response expectations. + +Content Storage + +With that in mind is that in mind we split the consolidated embeddings into 3 paths, one that stores the vectors into Vertex AI Vector Search (using simple REST calls), another storing the textual content into BigTable (for low latency retrieval after semantic matching) and the final one as a potential clean up of content refresh or re ingestion (more on that later). The three paths are using the ingested document identifier as the correlating data on the actions, this key is formed by the document name (in case of available), the document identifier and the chunk sequence number. The reason for using identifiers for the chunk comes behind the idea of subsequent updates. An increase in the content will generate a larger number of chunks, and upserting all the chunks will enable always fresh data; on the contrary, a decrease in content will generate a smaller chunk count for the document’s content, this number difference can be used to delete the remaining orphan indexed chunks (from content no longer existing in the latest version of the document). + +#### Content Refresh + +The last pipeline component is the simplest, at least conceptually. After the documents from Google Drive gets ingested, an external user can produce updates in them, causing the indexed content to become out of date. We implemented a simple periodic process, inside the same streaming pipeline, that will take care of the review of already ingested documents and see if there are content updates needed. We use a GenerateSequence transform to produce a periodic impulse (every 6 hours by default), that will trigger a scan on BigTable retrieving all the ingested document identifiers. Given those identifiers we can then query Google Drive for the latest update timestamp of each document and use that marker to decide if an update is needed. + +In case of needing to update the document’s content, we can simply send an ingestion request to the upstream PubSub topic and let the pipeline run its course for this new event. Since we are taking care of upserting embeddings and cleaning up those that no longer exist, we should be capable of taking care of the majority of the additions (as long those are text updates, image based content is not being processed as of now). + +

+ Content Refresh + Content Refresh + Content Refresh +

+ +This task could be performed as a separate job, possibly one that is periodically scheduled in batch form. This would result in lower costs, a separate error domain, and more predictable auto scaling behavior. However, for the purposes of this demonstration, it is simpler to have a single job. + +Next, we will be focusing on how the solution interacts with external clients for ingestion and content discovery use cases. + +## Interaction Design + +The solution aims to make the interactions for ingesting and querying the platform as simple as possible. Also, since the ingestion part may imply interacting with several services and imply retries or content refresh, we decided to make both separated and asynchronous, freeing the external users of blocking themselves while waiting for requests resolutions. + +### Example Interactions + +Once the platform is deployed in a GCP project, a simple way to interact with the services is through the use of a web client, curl is a good example. Also, since the endpoints are authenticated, a client needs to include its credentials in the request header to have its access granted. + +Here is an example of an interaction for content ingestion: + +``` +$ > curl -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $(gcloud auth print-identity-token)" https:///ingest/content/gdrive -d $'{"url":"https://drive.google.com/drive/folders/somefolderid"}' | jq . + +# response from service +{ + "status": "Ingestion trace id: " +} +``` + +In this case, after the ingestion request has been sent to the PubSub topic for processing, the service will return the tracking identifier, which maps with the PubSub message identifier. Note the provided URL can be one of a Google Doc or a Google Drive folder, in the later case the ingestion process will crawl the folder’s content recursively to retrieve all the contained documents and their contents. + +Next, an example of a content query interaction, very similar to the previous one: + +``` +$ > curl -X POST \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $(gcloud auth print-identity-token)" \ + https:///query/content \ + -d $'{"text":"summarize the benefits of using VertexAI foundational models for Generative AI applications", "sessionId": ""}' \ + | jq . + +# response from service +{ + "content": "VertexAI Foundation Models are a set of pre-trained models that can be used to accelerate the development of machine learning applications. They are available for a variety of tasks, including natural language processing, computer vision, and recommendation systems.\n\nVertexAI Foundation Models can be used to improve the performance of Generative AI applications by providing a starting point for model development. They can also be used to reduce the amount of time and effort required to train a model.\n\nIn addition, VertexAI Foundation Models can be used to improve the accuracy and robustness of Generative AI applications. This is because they are trained on large datasets and are subject to rigorous quality control.\n\nOverall, VertexAI Foundation Models can be a valuable resource for developers who are building Generative AI applications. They can help to accelerate the development process, reduce the cost of development, and improve the performance and accuracy of applications.", + "previousConversationSummary": "", + "sourceLinks": [ + { + "link": "", + "distance": 0.7233397960662842 + } + ], + "citationMetadata": [ + { + "citations": [] + } + ], + "safetyAttributes": [ + { + "categories": [], + "scores": [], + "blocked": false + } + ] +} +``` + +The platform will answer the request with a textual response from the LLM and include as well information about the categorization, citation metadata and source links (if available) of the content used to generate the response (this are for example, Google Docs links of the documents previously ingested by the platform). + +When interacting with the services, a good query will generally return good results, the clearer the query the easier it will be to contextualize its meaning and more accurate information will be sent to the LLMs to retrieve answers. But having to include all the details of the query context in a phrase on every exchange with the service can be very cumbersome and difficult. For that case the platform can use a provided session identifier that will be used to store all the previous exchanges between a user and the platform. This should help the implementation to better contextualize the initial query embeddings matching and even provide more concise contextual information in the model requests. Here is an example of a contextual exchange: + +``` +$ > curl -X POST \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $(gcloud auth print-identity-token)" \ + https:///query/content \ + -d $'{"text":"summarize the benefits of using VertexAI foundational models for Generative AI applications?", "sessionId": "some-session-id"}' \ + | jq . + +# response from service +{ + "content": "VertexAI Foundational Models are a suite of pre-trained models that can be used to accelerate the development of Generative AI applications. These models are available in a variety of languages and domains, and they can be used to generate text, images, audio, and other types of content.\n\nUsing VertexAI Foundational Models can help you to:\n\n* Reduce the time and effort required to develop Generative AI applications\n* Improve the accuracy and quality of your models\n* Access the latest research and development in Generative AI\n\nVertexAI Foundational Models are a powerful tool for developers who want to create innovative and engaging Generative AI applications.", + … +} + +$ > curl -X POST \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $(gcloud auth print-identity-token)" \ + https:///query/content \ + -d $'{"text":"describe the available LLM models?", "sessionId": "some-session-id"}' \ + | jq . + +# response from service +{ + "content": "The VertexAI Foundational Models suite includes a variety of LLM models, including:\n\n* Text-to-text LLMs: These models can generate text based on a given prompt. They can be used for tasks such as summarization, translation, and question answering.\n* Image-to-text LLMs: These models can generate text based on an image. They can be used for tasks such as image captioning and description generation.\n* Audio-to-text LLMs: These models can generate text based on an audio clip. They can be used for tasks such as speech recognition and transcription.\n\nThese models are available in a variety of languages, including English, Spanish, French, German, and Japanese. They can be used to create a wide range of Generative AI applications, such as chatbots, customer service applications, and creative writing tools.", + … +} + +$ > curl -X POST \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $(gcloud auth print-identity-token)" \ + https:///query/content \ + -d $'{"text":"do rate limit apply for those LLMs?", "sessionId": "some-session-id"}' \ + | jq . + +# response from service +{ + "content": "Yes, there are rate limits for the VertexAI Foundational Models. The rate limits are based on the number of requests per second and the total number of requests per day. For more information, please see the [VertexAI Foundational Models documentation](https://cloud.google.com/vertex-ai/docs/foundational-models#rate-limits).", + … +} + +$ > curl -X POST \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $(gcloud auth print-identity-token)" \ + https:///query/content \ + -d $'{"text":"care to share the price?", "sessionId": "some-session-id"}' \ + | jq . + +# response from service +{ + "content": "The VertexAI Foundational Models are priced based on the number of requests per second and the total number of requests per day. For more information, please see the [VertexAI Foundational Models pricing page](https://cloud.google.com/vertex-ai/pricing#foundational-models).", + … +} +``` + +**Usage Tip:** in case of abruptly changing topics, sometimes is better to use a new session identifier. + +### Deployment + +As part of the platform solution, there are a set of scripts that help with the deployment of all the different components. By running the `start.sh` and setting the right parameters (GCP project, terraform state bucket and name for the platform instance) the script will take care of building the code, deploying the needed containers (service endpoint container and Dataflow python custom container), deploying all the GCP resources using Terraform and finally deploying the pipeline. There is also the possibility of modifying the pipeline’s execution by passing an extra parameter to the startup script, for example: `start.sh "--update"` will update the content extraction pipeline in-place. + +Also, in case of wanting to focus only on the deployment of specific components other scripts have been included to help with those specific tasks (build the solution, deploy the infrastructure, deploy the pipeline, deploy the services, etc.). + +### Solution's Notes + +This solution is designed to serve as an example for learning purposes. Many of the configuration values for the extraction pipeline and security restrictions are provided only as examples. The solution doesn't propagate the existing access control lists (ACLs) of the ingested content. As a result, all users that have access to the service endpoints have access to summarizations of the ingested content from those original documents. + +### Notes about the source code + +The source code for the content discovery platform is available in [Github](https://github.com/prodriguezdefino/content-dicovery-platform-gcp). You can run it in any Google Cloud project. The repository includes the source code for the integration services, the multi-language ingestion pipeline, and the deployment automation through Terraform. If you deploy this example, it might take up to 90 minutes to create and configure all the needed resources. 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zJff|YgaWn~x!AYI&uy<)Aa;o`iM6fWT83lP;0G*R?9PvtLyZzO>wy0Sjbm+& literal 0 HcmV?d00001 From 3655b1ea3fb33c20b758b6a70a76c699ed767f89 Mon Sep 17 00:00:00 2001 From: Ahmet Altay Date: Mon, 2 Oct 2023 21:02:20 -0700 Subject: [PATCH 03/32] Update dyi-content-discovery-platform-genai-beam.md Fixing the publication date. --- .../en/blog/dyi-content-discovery-platform-genai-beam.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/www/site/content/en/blog/dyi-content-discovery-platform-genai-beam.md b/website/www/site/content/en/blog/dyi-content-discovery-platform-genai-beam.md index 8057374591d7..fd967e318a07 100644 --- a/website/www/site/content/en/blog/dyi-content-discovery-platform-genai-beam.md +++ b/website/www/site/content/en/blog/dyi-content-discovery-platform-genai-beam.md @@ -1,7 +1,7 @@ --- layout: post title: "DIY GenAI Content Discovery Platform with Apache Beam" -date: 2023-09-27 00:00:01 -0800 +date: 2023-10-02 00:00:01 -0800 categories: - blog authors: From 1c5982567b3f90e922285900d71b085a6d96c203 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 3 Oct 2023 09:47:26 -0400 Subject: [PATCH 04/32] Bump cloud.google.com/go/bigtable from 1.19.0 to 1.20.0 in /sdks (#28789) Bumps [cloud.google.com/go/bigtable](https://github.com/googleapis/google-cloud-go) from 1.19.0 to 1.20.0. - [Release notes](https://github.com/googleapis/google-cloud-go/releases) - [Changelog](https://github.com/googleapis/google-cloud-go/blob/main/documentai/CHANGES.md) - [Commits](https://github.com/googleapis/google-cloud-go/compare/video/v1.19.0...video/v1.20.0) --- updated-dependencies: - dependency-name: cloud.google.com/go/bigtable dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- sdks/go.mod | 2 +- sdks/go.sum | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/sdks/go.mod b/sdks/go.mod index 869db285534d..9c911948c48f 100644 --- a/sdks/go.mod +++ b/sdks/go.mod @@ -24,7 +24,7 @@ go 1.20 require ( cloud.google.com/go/bigquery v1.55.0 - cloud.google.com/go/bigtable v1.19.0 + cloud.google.com/go/bigtable v1.20.0 cloud.google.com/go/datastore v1.14.0 cloud.google.com/go/profiler v0.3.1 cloud.google.com/go/pubsub v1.33.0 diff --git a/sdks/go.sum b/sdks/go.sum index 52512ffd424c..f1516bdf4a58 100644 --- a/sdks/go.sum +++ b/sdks/go.sum @@ -15,8 +15,8 @@ cloud.google.com/go/bigquery v1.3.0/go.mod h1:PjpwJnslEMmckchkHFfq+HTD2DmtT67aNF cloud.google.com/go/bigquery v1.4.0/go.mod h1:S8dzgnTigyfTmLBfrtrhyYhwRxG72rYxvftPBK2Dvzc= cloud.google.com/go/bigquery v1.55.0 h1:hs44Xxov3XLWQiCx2J8lK5U/ihLqnpm4RVVl5fdtLLI= cloud.google.com/go/bigquery v1.55.0/go.mod h1:9Y5I3PN9kQWuid6183JFhOGOW3GcirA5LpsKCUn+2ec= -cloud.google.com/go/bigtable v1.19.0 h1:wiq9LT0kukfInzvy1joMDijCw/OD1UChpSbORXYn0LI= -cloud.google.com/go/bigtable v1.19.0/go.mod h1:xl5kPa8PTkJjdBxg6qdGH88464nNqmbISHSRU+D2yFE= +cloud.google.com/go/bigtable v1.20.0 h1:NqZC/WcesSn4O8L0I2JmuNsUigSyBQifVLYgM9LMQeQ= +cloud.google.com/go/bigtable v1.20.0/go.mod h1:upJDn8frsjzpRMfybiWkD1PG6WCCL7CRl26MgVeoXY4= cloud.google.com/go/compute v1.23.0 h1:tP41Zoavr8ptEqaW6j+LQOnyBBhO7OkOMAGrgLopTwY= cloud.google.com/go/compute v1.23.0/go.mod h1:4tCnrn48xsqlwSAiLf1HXMQk8CONslYbdiEZc9FEIbM= cloud.google.com/go/compute/metadata v0.2.3 h1:mg4jlk7mCAj6xXp9UJ4fjI9VUI5rubuGBW5aJ7UnBMY= From 25024064ed23b37664f165dd6af8a24c972a3148 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 3 Oct 2023 09:47:55 -0400 Subject: [PATCH 05/32] Bump github.com/aws/aws-sdk-go-v2/config in /sdks (#28790) Bumps [github.com/aws/aws-sdk-go-v2/config](https://github.com/aws/aws-sdk-go-v2) from 1.18.42 to 1.18.43. - [Release notes](https://github.com/aws/aws-sdk-go-v2/releases) - [Commits](https://github.com/aws/aws-sdk-go-v2/compare/config/v1.18.42...config/v1.18.43) --- updated-dependencies: - dependency-name: github.com/aws/aws-sdk-go-v2/config dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- sdks/go.mod | 8 ++++---- sdks/go.sum | 12 ++++++++---- 2 files changed, 12 insertions(+), 8 deletions(-) diff --git a/sdks/go.mod b/sdks/go.mod index 9c911948c48f..e17427227eba 100644 --- a/sdks/go.mod +++ b/sdks/go.mod @@ -31,8 +31,8 @@ require ( cloud.google.com/go/spanner v1.49.0 cloud.google.com/go/storage v1.33.0 github.com/aws/aws-sdk-go-v2 v1.21.0 - github.com/aws/aws-sdk-go-v2/config v1.18.42 - github.com/aws/aws-sdk-go-v2/credentials v1.13.40 + github.com/aws/aws-sdk-go-v2/config v1.18.43 + github.com/aws/aws-sdk-go-v2/credentials v1.13.41 github.com/aws/aws-sdk-go-v2/feature/s3/manager v1.11.87 github.com/aws/aws-sdk-go-v2/service/s3 v1.40.0 github.com/aws/smithy-go v1.14.2 @@ -107,9 +107,9 @@ require ( github.com/aws/aws-sdk-go-v2/service/internal/checksum v1.1.36 // indirect github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.9.35 // indirect github.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.15.4 // indirect - github.com/aws/aws-sdk-go-v2/service/sso v1.14.1 // indirect + github.com/aws/aws-sdk-go-v2/service/sso v1.15.0 // indirect github.com/aws/aws-sdk-go-v2/service/ssooidc v1.17.1 // indirect - github.com/aws/aws-sdk-go-v2/service/sts v1.22.0 // indirect + github.com/aws/aws-sdk-go-v2/service/sts v1.23.0 // indirect github.com/cenkalti/backoff/v4 v4.2.1 // indirect github.com/census-instrumentation/opencensus-proto v0.4.1 // indirect github.com/cespare/xxhash/v2 v2.2.0 // indirect diff --git a/sdks/go.sum b/sdks/go.sum index f1516bdf4a58..71c1c4545c89 100644 --- a/sdks/go.sum +++ b/sdks/go.sum @@ -86,11 +86,13 @@ github.com/aws/aws-sdk-go-v2 v1.21.0/go.mod h1:/RfNgGmRxI+iFOB1OeJUyxiU+9s88k3pf github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.4.13 h1:OPLEkmhXf6xFPiz0bLeDArZIDx1NNS4oJyG4nv3Gct0= github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.4.13/go.mod h1:gpAbvyDGQFozTEmlTFO8XcQKHzubdq0LzRyJpG6MiXM= github.com/aws/aws-sdk-go-v2/config v1.5.0/go.mod h1:RWlPOAW3E3tbtNAqTwvSW54Of/yP3oiZXMI0xfUdjyA= -github.com/aws/aws-sdk-go-v2/config v1.18.42 h1:28jHROB27xZwU0CB88giDSjz7M1Sba3olb5JBGwina8= github.com/aws/aws-sdk-go-v2/config v1.18.42/go.mod h1:4AZM3nMMxwlG+eZlxvBKqwVbkDLlnN2a4UGTL6HjaZI= +github.com/aws/aws-sdk-go-v2/config v1.18.43 h1:IgdUtTRvUDC6eiJBqU6vh7bHFNAEBjQ8S+qJ7zVhDOs= +github.com/aws/aws-sdk-go-v2/config v1.18.43/go.mod h1:NiFev8qlgg8MPzw3fO/EwzMZeZwlJEKGwfpjRPA9Nvw= github.com/aws/aws-sdk-go-v2/credentials v1.3.1/go.mod h1:r0n73xwsIVagq8RsxmZbGSRQFj9As3je72C2WzUIToc= -github.com/aws/aws-sdk-go-v2/credentials v1.13.40 h1:s8yOkDh+5b1jUDhMBtngF6zKWLDs84chUk2Vk0c38Og= github.com/aws/aws-sdk-go-v2/credentials v1.13.40/go.mod h1:VtEHVAAqDWASwdOqj/1huyT6uHbs5s8FUHfDQdky/Rs= +github.com/aws/aws-sdk-go-v2/credentials v1.13.41 h1:dgbKq1tamtboYAKSXWbqL0lKO9rmEzEhbZFh9JQW/Bg= +github.com/aws/aws-sdk-go-v2/credentials v1.13.41/go.mod h1:cc3Fn7DkKbJalPtQnudHGZZ8ml9+hwtbc1CJONsYYqk= github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.3.0/go.mod h1:2LAuqPx1I6jNfaGDucWfA2zqQCYCOMCDHiCOciALyNw= github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.13.11 h1:uDZJF1hu0EVT/4bogChk8DyjSF6fof6uL/0Y26Ma7Fg= github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.13.11/go.mod h1:TEPP4tENqBGO99KwVpV9MlOX4NSrSLP8u3KRy2CDwA8= @@ -121,13 +123,15 @@ github.com/aws/aws-sdk-go-v2/service/s3 v1.11.1/go.mod h1:XLAGFrEjbvMCLvAtWLLP32 github.com/aws/aws-sdk-go-v2/service/s3 v1.40.0 h1:wl5dxN1NONhTDQD9uaEvNsDRX29cBmGED/nl0jkWlt4= github.com/aws/aws-sdk-go-v2/service/s3 v1.40.0/go.mod h1:rDGMZA7f4pbmTtPOk5v5UM2lmX6UAbRnMDJeDvnH7AM= github.com/aws/aws-sdk-go-v2/service/sso v1.3.1/go.mod h1:J3A3RGUvuCZjvSuZEcOpHDnzZP/sKbhDWV2T1EOzFIM= -github.com/aws/aws-sdk-go-v2/service/sso v1.14.1 h1:YkNzx1RLS0F5qdf9v1Q8Cuv9NXCL2TkosOxhzlUPV64= github.com/aws/aws-sdk-go-v2/service/sso v1.14.1/go.mod h1:fIAwKQKBFu90pBxx07BFOMJLpRUGu8VOzLJakeY+0K4= +github.com/aws/aws-sdk-go-v2/service/sso v1.15.0 h1:vuGK1vHNP9zx0PfOrtPumbwR2af0ATQ1Z2H6p75AgRQ= +github.com/aws/aws-sdk-go-v2/service/sso v1.15.0/go.mod h1:fIAwKQKBFu90pBxx07BFOMJLpRUGu8VOzLJakeY+0K4= github.com/aws/aws-sdk-go-v2/service/ssooidc v1.17.1 h1:8lKOidPkmSmfUtiTgtdXWgaKItCZ/g75/jEk6Ql6GsA= github.com/aws/aws-sdk-go-v2/service/ssooidc v1.17.1/go.mod h1:yygr8ACQRY2PrEcy3xsUI357stq2AxnFM6DIsR9lij4= github.com/aws/aws-sdk-go-v2/service/sts v1.6.0/go.mod h1:q7o0j7d7HrJk/vr9uUt3BVRASvcU7gYZB9PUgPiByXg= -github.com/aws/aws-sdk-go-v2/service/sts v1.22.0 h1:s4bioTgjSFRwOoyEFzAVCmFmoowBgjTR8gkrF/sQ4wk= github.com/aws/aws-sdk-go-v2/service/sts v1.22.0/go.mod h1:VC7JDqsqiwXukYEDjoHh9U0fOJtNWh04FPQz4ct4GGU= +github.com/aws/aws-sdk-go-v2/service/sts v1.23.0 h1:pyvfUqkNLMipdKNAtu7OVbRxUrR2BMaKccIPpk/Hkak= +github.com/aws/aws-sdk-go-v2/service/sts v1.23.0/go.mod h1:VC7JDqsqiwXukYEDjoHh9U0fOJtNWh04FPQz4ct4GGU= github.com/aws/smithy-go v1.6.0/go.mod h1:SObp3lf9smib00L/v3U2eAKG8FyQ7iLrJnQiAmR5n+E= github.com/aws/smithy-go v1.14.2 h1:MJU9hqBGbvWZdApzpvoF2WAIJDbtjK2NDJSiJP7HblQ= github.com/aws/smithy-go v1.14.2/go.mod h1:Tg+OJXh4MB2R/uN61Ko2f6hTZwB/ZYGOtib8J3gBHzA= From b556aee9177b17ae4568f569e2b337f28adbc508 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 3 Oct 2023 10:30:58 -0400 Subject: [PATCH 06/32] Bump urllib3 from 1.26.16 to 1.26.17 in /sdks/python/container/py38 (#28787) Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.16 to 1.26.17. - [Release notes](https://github.com/urllib3/urllib3/releases) - [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst) - [Commits](https://github.com/urllib3/urllib3/compare/1.26.16...1.26.17) --- updated-dependencies: - dependency-name: urllib3 dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- sdks/python/container/py38/base_image_requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdks/python/container/py38/base_image_requirements.txt b/sdks/python/container/py38/base_image_requirements.txt index a47fb6beda82..ed5d35fc6457 100644 --- a/sdks/python/container/py38/base_image_requirements.txt +++ b/sdks/python/container/py38/base_image_requirements.txt @@ -135,7 +135,7 @@ tqdm==4.66.1 typing_extensions==4.8.0 tzlocal==5.0.1 uritemplate==4.1.1 -urllib3==1.26.16 +urllib3==1.26.17 websocket-client==1.6.3 wrapt==1.15.0 zstandard==0.21.0 From c7d7896533ba50e3bf2b64d6e0eb18ea7313a13f Mon Sep 17 00:00:00 2001 From: magicgoody <131876064+magicgoody@users.noreply.github.com> Date: Tue, 3 Oct 2023 21:15:36 +0600 Subject: [PATCH 07/32] Github Workflow Replacement for Jenkins Jobs, beam_LoadTests_Java_GBK_Dataflow_Batch_* (#28738) * beam_LoadTests_Java_GBK_Dataflow_Batch * argument fix * description added * fixed comment and filenames * config rename * config name fix --- ...beam_LoadTests_Java_GBK_Dataflow_Batch.yml | 141 +++++++++++++++ ..._LoadTests_Java_GBK_Dataflow_Streaming.yml | 141 +++++++++++++++ ...ests_Java_GBK_Dataflow_V2_Batch_Java11.yml | 166 +++++++++++++++++ ...ests_Java_GBK_Dataflow_V2_Batch_Java17.yml | 168 ++++++++++++++++++ ..._Java_GBK_Dataflow_V2_Streaming_Java11.yml | 166 +++++++++++++++++ ..._Java_GBK_Dataflow_V2_Streaming_Java17.yml | 168 ++++++++++++++++++ ...GBK_Dataflow_Batch_2GB_of_100B_records.txt | 28 +++ ...BK_Dataflow_Batch_2GB_of_100kB_records.txt | 28 +++ ..._GBK_Dataflow_Batch_2GB_of_10B_records.txt | 28 +++ ...4_times_with_2GB_10-byte_records_total.txt | 28 +++ ...8_times_with_2GB_10-byte_records_total.txt | 28 +++ ...ow_Batch_reiterate_4_times_10kB_values.txt | 28 +++ ...low_Batch_reiterate_4_times_2MB_values.txt | 28 +++ ...Dataflow_Streaming_2GB_of_100B_records.txt | 29 +++ ...ataflow_Streaming_2GB_of_100kB_records.txt | 29 +++ ..._Dataflow_Streaming_2GB_of_10B_records.txt | 29 +++ ...4_times_with_2GB_10-byte_records_total.txt | 29 +++ ...8_times_with_2GB_10-byte_records_total.txt | 29 +++ ...treaming_reiterate_4_times_10kB_values.txt | 29 +++ ...Streaming_reiterate_4_times_2MB_values.txt | 29 +++ ...ow_V2_Batch_Java11_2GB_of_100B_records.txt | 29 +++ ...w_V2_Batch_Java11_2GB_of_100kB_records.txt | 29 +++ ...low_V2_Batch_Java11_2GB_of_10B_records.txt | 29 +++ ...4_times_with_2GB_10-byte_records_total.txt | 29 +++ ...8_times_with_2GB_10-byte_records_total.txt | 29 +++ ...h_Java11_reiterate_4_times_10kB_values.txt | 29 +++ ...ch_Java11_reiterate_4_times_2MB_values.txt | 29 +++ ...ow_V2_Batch_Java17_2GB_of_100B_records.txt | 29 +++ ...w_V2_Batch_Java17_2GB_of_100kB_records.txt | 29 +++ ...low_V2_Batch_Java17_2GB_of_10B_records.txt | 29 +++ ...4_times_with_2GB_10-byte_records_total.txt | 29 +++ ...8_times_with_2GB_10-byte_records_total.txt | 29 +++ ...h_Java17_reiterate_4_times_10kB_values.txt | 29 +++ ...ch_Java17_reiterate_4_times_2MB_values.txt | 29 +++ ...2_Streaming_Java11_2GB_of_100B_records.txt | 30 ++++ ..._Streaming_Java11_2GB_of_100kB_records.txt | 30 ++++ ...V2_Streaming_Java11_2GB_of_10B_records.txt | 30 ++++ ...4_times_with_2GB_10-byte_records_total.txt | 30 ++++ ...8_times_with_2GB_10-byte_records_total.txt | 30 ++++ ...g_Java11_reiterate_4_times_10kB_values.txt | 30 ++++ ...ng_Java11_reiterate_4_times_2MB_values.txt | 30 ++++ ...2_Streaming_Java17_2GB_of_100B_records.txt | 30 ++++ ..._Streaming_Java17_2GB_of_100kB_records.txt | 30 ++++ ...V2_Streaming_Java17_2GB_of_10B_records.txt | 30 ++++ ...4_times_with_2GB_10-byte_records_total.txt | 30 ++++ ...8_times_with_2GB_10-byte_records_total.txt | 30 ++++ ...g_Java17_reiterate_4_times_10kB_values.txt | 30 ++++ ...ng_Java17_reiterate_4_times_2MB_values.txt | 30 ++++ 48 files changed, 2175 insertions(+) create mode 100644 .github/workflows/beam_LoadTests_Java_GBK_Dataflow_Batch.yml create mode 100644 .github/workflows/beam_LoadTests_Java_GBK_Dataflow_Streaming.yml create mode 100644 .github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11.yml create mode 100644 .github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17.yml create mode 100644 .github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11.yml create mode 100644 .github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17.yml create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100kB_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_10B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_4_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_8_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_10kB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_2MB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100kB_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_10B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_4_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_8_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_10kB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_2MB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100kB_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_10B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_10kB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_2MB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100kB_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_10B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_10kB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_2MB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100kB_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_10B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_10kB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_2MB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100kB_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_10B_records.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_10kB_values.txt create mode 100644 .github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_2MB_values.txt diff --git a/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_Batch.yml b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_Batch.yml new file mode 100644 index 000000000000..b490ce69323e --- /dev/null +++ b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_Batch.yml @@ -0,0 +1,141 @@ +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +name: LoadTests Java GBK Dataflow Batch + +on: + issue_comment: + types: [created] + schedule: + - cron: '10 6 * * *' + workflow_dispatch: + +# Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event +permissions: + actions: write + pull-requests: write + checks: write + contents: read + deployments: read + id-token: none + issues: write + discussions: read + packages: read + pages: read + repository-projects: read + security-events: read + statuses: read + +# This allows a subsequently queued workflow run to interrupt previous runs +concurrency: + group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.body || github.event.sender.login }}' + cancel-in-progress: true + +env: + GRADLE_ENTERPRISE_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }} + GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }} + GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }} + +jobs: + beam_LoadTests_Java_GBK_Dataflow_Batch: + if: | + github.event_name == 'workflow_dispatch' || + github.event_name == 'schedule' || + github.event.comment.body == 'Run Load Tests Java GBK Dataflow Batch' + runs-on: [self-hosted, ubuntu-20.04, main] + timeout-minutes: 240 + name: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + strategy: + matrix: + job_name: ["beam_LoadTests_Java_GBK_Dataflow_Batch"] + job_phrase: ["Run Load Tests Java GBK Dataflow Batch"] + steps: + - uses: actions/checkout@v3 + - name: Setup repository + uses: ./.github/actions/setup-action + with: + comment_phrase: ${{ matrix.job_phrase }} + github_token: ${{ secrets.GITHUB_TOKEN }} + github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + - name: Prepare test arguments + uses: ./.github/actions/test-arguments-action + with: + test-type: load + test-language: java + argument-file-paths: | + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_10B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100kB_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_4_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_8_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_10kB_values.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_2MB_values.txt + # The env variables are created and populated in the test-arguments-action as "_test_arguments_" + - name: run Load test 2GB of 10B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Batch_test_arguments_1 }}' \ + - name: run Load test 2GB of 100B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Batch_test_arguments_2 }}' \ + - name: run Load test 2GB of 100kB records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Batch_test_arguments_3 }}' \ + - name: run Load test fanout 4 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Batch_test_arguments_4 }}' \ + - name: run Load test fanout 8 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Batch_test_arguments_5 }}' \ + - name: run Load test reiterate 4 times 10kB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Batch_test_arguments_6 }}' \ + - name: run Load test reiterate 4 times 2MB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Batch_test_arguments_7 }}' \ No newline at end of file diff --git a/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_Streaming.yml b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_Streaming.yml new file mode 100644 index 000000000000..19cc12f91eb1 --- /dev/null +++ b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_Streaming.yml @@ -0,0 +1,141 @@ +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +name: LoadTests Java GBK Dataflow Streaming + +on: + issue_comment: + types: [created] + schedule: + - cron: '50 6 * * *' + workflow_dispatch: + +# Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event +permissions: + actions: write + pull-requests: write + checks: write + contents: read + deployments: read + id-token: none + issues: write + discussions: read + packages: read + pages: read + repository-projects: read + security-events: read + statuses: read + +# This allows a subsequently queued workflow run to interrupt previous runs +concurrency: + group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.body || github.event.sender.login }}' + cancel-in-progress: true + +env: + GRADLE_ENTERPRISE_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }} + GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }} + GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }} + +jobs: + beam_LoadTests_Java_GBK_Dataflow_Streaming: + if: | + github.event_name == 'workflow_dispatch' || + github.event_name == 'schedule' || + github.event.comment.body == 'Run Load Tests Java GBK Dataflow Streaming' + runs-on: [self-hosted, ubuntu-20.04, main] + timeout-minutes: 240 + name: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + strategy: + matrix: + job_name: ["beam_LoadTests_Java_GBK_Dataflow_Streaming"] + job_phrase: ["Run Load Tests Java GBK Dataflow Streaming"] + steps: + - uses: actions/checkout@v3 + - name: Setup repository + uses: ./.github/actions/setup-action + with: + comment_phrase: ${{ matrix.job_phrase }} + github_token: ${{ secrets.GITHUB_TOKEN }} + github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + - name: Prepare test arguments + uses: ./.github/actions/test-arguments-action + with: + test-type: load + test-language: java + argument-file-paths: | + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_10B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100kB_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_4_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_8_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_10kB_values.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_2MB_values.txt + # The env variables are created and populated in the test-arguments-action as "_test_arguments_" + - name: run Load test 2GB of 10B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Streaming_test_arguments_1 }}' \ + - name: run Load test 2GB of 100B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Streaming_test_arguments_2 }}' \ + - name: run Load test 2GB of 100kB records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Streaming_test_arguments_3 }}' \ + - name: run Load test fanout 4 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Streaming_test_arguments_4 }}' \ + - name: run Load test fanout 8 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Streaming_test_arguments_5 }}' \ + - name: run Load test reiterate 4 times 10kB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Streaming_test_arguments_6 }}' \ + - name: run Load test reiterate 4 times 2MB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_Streaming_test_arguments_7 }}' \ No newline at end of file diff --git a/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11.yml b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11.yml new file mode 100644 index 000000000000..aeb8006dfd53 --- /dev/null +++ b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11.yml @@ -0,0 +1,166 @@ +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +name: LoadTests Java GBK Dataflow V2 Batch Java11 + +on: + issue_comment: + types: [created] + schedule: + - cron: '10 7 * * *' + workflow_dispatch: + +# Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event +permissions: + actions: write + pull-requests: write + checks: write + contents: read + deployments: read + id-token: none + issues: write + discussions: read + packages: read + pages: read + repository-projects: read + security-events: read + statuses: read + +# This allows a subsequently queued workflow run to interrupt previous runs +concurrency: + group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.body || github.event.sender.login }}' + cancel-in-progress: true + +env: + GRADLE_ENTERPRISE_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }} + GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }} + GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }} + +jobs: + beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11: + if: | + github.event_name == 'workflow_dispatch' || + github.event_name == 'schedule' || + github.event.comment.body == 'Run Load Tests Java 11 GBK Dataflow V2 Batch' + runs-on: [self-hosted, ubuntu-20.04, main] + timeout-minutes: 240 + name: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + strategy: + matrix: + job_name: ["beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11"] + job_phrase: ["Run Load Tests Java 11 GBK Dataflow V2 Batch"] + steps: + - uses: actions/checkout@v3 + - name: Setup repository + uses: ./.github/actions/setup-action + with: + comment_phrase: ${{ matrix.job_phrase }} + github_token: ${{ secrets.GITHUB_TOKEN }} + github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + - name: Setup environment + uses: ./.github/actions/setup-environment-action + with: + java-version: 11 + - name: Prepare test arguments + uses: ./.github/actions/test-arguments-action + with: + test-type: load + test-language: java + argument-file-paths: | + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_10B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100kB_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_10kB_values.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_2MB_values.txt + # The env variables are created and populated in the test-arguments-action as "_test_arguments_" + - name: run Load test 2GB of 10B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11_test_arguments_1 }}' \ + - name: run Load test 2GB of 100B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11_test_arguments_2 }}' \ + - name: run Load test 2GB of 100kB records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11_test_arguments_3 }}' \ + - name: run Load test fanout 4 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11_test_arguments_4 }}' \ + - name: run Load test fanout 8 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11_test_arguments_5 }}' \ + - name: run Load test reiterate 4 times 10kB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11_test_arguments_6 }}' \ + - name: run Load test reiterate 4 times 2MB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java11_test_arguments_7 }}' \ No newline at end of file diff --git a/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17.yml b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17.yml new file mode 100644 index 000000000000..23f9f34d9747 --- /dev/null +++ b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17.yml @@ -0,0 +1,168 @@ +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +name: LoadTests Java GBK Dataflow V2 Batch Java17 + +on: + issue_comment: + types: [created] + schedule: + - cron: '50 7 * * *' + workflow_dispatch: + +# Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event +permissions: + actions: write + pull-requests: write + checks: write + contents: read + deployments: read + id-token: none + issues: write + discussions: read + packages: read + pages: read + repository-projects: read + security-events: read + statuses: read + +# This allows a subsequently queued workflow run to interrupt previous runs +concurrency: + group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.body || github.event.sender.login }}' + cancel-in-progress: true + +env: + GRADLE_ENTERPRISE_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }} + GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }} + GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }} + +jobs: + beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17: + if: | + github.event_name == 'workflow_dispatch' || + github.event_name == 'schedule' || + github.event.comment.body == 'Run Load Tests Java 17 GBK Dataflow V2 Batch' + runs-on: [self-hosted, ubuntu-20.04, main] + timeout-minutes: 240 + name: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + strategy: + matrix: + job_name: ["beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17"] + job_phrase: ["Run Load Tests Java 17 GBK Dataflow V2 Batch"] + steps: + - uses: actions/checkout@v3 + - name: Setup repository + uses: ./.github/actions/setup-action + with: + comment_phrase: ${{ matrix.job_phrase }} + github_token: ${{ secrets.GITHUB_TOKEN }} + github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + - name: Setup environment + uses: ./.github/actions/setup-environment-action + with: + java-version: | + 17 + 8 + - name: Prepare test arguments + uses: ./.github/actions/test-arguments-action + with: + test-type: load + test-language: java + argument-file-paths: | + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_10B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100kB_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_10kB_values.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_2MB_values.txt + # The env variables are created and populated in the test-arguments-action as "_test_arguments_" + - name: run Load test 2GB of 10B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17_test_arguments_1 }}' \ + - name: run Load test 2GB of 100B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17_test_arguments_2 }}' \ + - name: run Load test 2GB of 100kB records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17_test_arguments_3 }}' \ + - name: run Load test fanout 4 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17_test_arguments_4 }}' \ + - name: run Load test fanout 8 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17_test_arguments_5 }}' \ + - name: run Load test reiterate 4 times 10kB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17_test_arguments_6 }}' \ + - name: run Load test reiterate 4 times 2MB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Batch_Java17_test_arguments_7 }}' \ No newline at end of file diff --git a/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11.yml b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11.yml new file mode 100644 index 000000000000..9a0b236e43e9 --- /dev/null +++ b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11.yml @@ -0,0 +1,166 @@ +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +name: LoadTests Java GBK Dataflow V2 Streaming Java11 + +on: + issue_comment: + types: [created] + schedule: + - cron: '50 8 * * *' + workflow_dispatch: + +# Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event +permissions: + actions: write + pull-requests: write + checks: write + contents: read + deployments: read + id-token: none + issues: write + discussions: read + packages: read + pages: read + repository-projects: read + security-events: read + statuses: read + +# This allows a subsequently queued workflow run to interrupt previous runs +concurrency: + group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.body || github.event.sender.login }}' + cancel-in-progress: true + +env: + GRADLE_ENTERPRISE_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }} + GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }} + GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }} + +jobs: + beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11: + if: | + github.event_name == 'workflow_dispatch' || + github.event_name == 'schedule' || + github.event.comment.body == 'Run Load Tests Java 11 GBK Dataflow V2 Streaming' + runs-on: [self-hosted, ubuntu-20.04, main] + timeout-minutes: 240 + name: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + strategy: + matrix: + job_name: ["beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11"] + job_phrase: ["Run Load Tests Java 11 GBK Dataflow V2 Streaming"] + steps: + - uses: actions/checkout@v3 + - name: Setup repository + uses: ./.github/actions/setup-action + with: + comment_phrase: ${{ matrix.job_phrase }} + github_token: ${{ secrets.GITHUB_TOKEN }} + github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + - name: Setup environment + uses: ./.github/actions/setup-environment-action + with: + java-version: 11 + - name: Prepare test arguments + uses: ./.github/actions/test-arguments-action + with: + test-type: load + test-language: java + argument-file-paths: | + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_10B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100kB_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_10kB_values.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_2MB_values.txt + # The env variables are created and populated in the test-arguments-action as "_test_arguments_" + - name: run Load test 2GB of 10B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11_test_arguments_1 }}' \ + - name: run Load test 2GB of 100B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11_test_arguments_2 }}' \ + - name: run Load test 2GB of 100kB records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11_test_arguments_3 }}' \ + - name: run Load test fanout 4 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11_test_arguments_4 }}' \ + - name: run Load test fanout 8 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11_test_arguments_5 }}' \ + - name: run Load test reiterate 4 times 10kB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11_test_arguments_6 }}' \ + - name: run Load test reiterate 4 times 2MB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava11 \ + -Pjava11Home=$JAVA_HOME_11_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11_test_arguments_7 }}' \ No newline at end of file diff --git a/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17.yml b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17.yml new file mode 100644 index 000000000000..3580aaca51bb --- /dev/null +++ b/.github/workflows/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17.yml @@ -0,0 +1,168 @@ +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +name: LoadTests Java GBK Dataflow V2 Streaming Java17 + +on: + issue_comment: + types: [created] + schedule: + - cron: '50 9 * * *' + workflow_dispatch: + +# Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event +permissions: + actions: write + pull-requests: write + checks: write + contents: read + deployments: read + id-token: none + issues: write + discussions: read + packages: read + pages: read + repository-projects: read + security-events: read + statuses: read + +# This allows a subsequently queued workflow run to interrupt previous runs +concurrency: + group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.body || github.event.sender.login }}' + cancel-in-progress: true + +env: + GRADLE_ENTERPRISE_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }} + GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }} + GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }} + +jobs: + beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17: + if: | + github.event_name == 'workflow_dispatch' || + github.event_name == 'schedule' || + github.event.comment.body == 'Run Load Tests Java 17 GBK Dataflow V2 Streaming' + runs-on: [self-hosted, ubuntu-20.04, main] + timeout-minutes: 240 + name: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + strategy: + matrix: + job_name: ["beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17"] + job_phrase: ["Run Load Tests Java 17 GBK Dataflow V2 Streaming"] + steps: + - uses: actions/checkout@v3 + - name: Setup repository + uses: ./.github/actions/setup-action + with: + comment_phrase: ${{ matrix.job_phrase }} + github_token: ${{ secrets.GITHUB_TOKEN }} + github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + - name: Setup environment + uses: ./.github/actions/setup-environment-action + with: + java-version: | + 17 + 8 + - name: Prepare test arguments + uses: ./.github/actions/test-arguments-action + with: + test-type: load + test-language: java + argument-file-paths: | + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_10B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100B_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100kB_records.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_10kB_values.txt + ${{ github.workspace }}/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_2MB_values.txt + # The env variables are created and populated in the test-arguments-action as "_test_arguments_" + - name: run Load test 2GB of 10B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17_test_arguments_1 }}' \ + - name: run Load test 2GB of 100B records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17_test_arguments_2 }}' \ + - name: run Load test 2GB of 100kB records + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17_test_arguments_3 }}' \ + - name: run Load test fanout 4 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17_test_arguments_4 }}' \ + - name: run Load test fanout 8 times with 2GB 10-byte records total + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17_test_arguments_5 }}' \ + - name: run Load test reiterate 4 times 10kB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17_test_arguments_6 }}' \ + - name: run Load test reiterate 4 times 2MB values + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:testing:load-tests:run + arguments: | + -PloadTest.mainClass=org.apache.beam.sdk.loadtests.GroupByKeyLoadTest \ + -Prunner=:runners:google-cloud-dataflow-java \ + -Prunner.version=V2 \ + -PcompileAndRunTestsWithJava17 \ + -Pjava17Home=$JAVA_HOME_17_X64 \ + '-PloadTest.args=${{ env.beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17_test_arguments_7 }}' \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100B_records.txt new file mode 100644 index 000000000000..29d0ded11fac --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100B_records.txt @@ -0,0 +1,28 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_batch_GBK_2 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_2 +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100kB_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100kB_records.txt new file mode 100644 index 000000000000..920f0a60d198 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_100kB_records.txt @@ -0,0 +1,28 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_batch_GBK_3 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_3 +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000,"keySizeBytes":10000,"valueSizeBytes":90000} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_10B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_10B_records.txt new file mode 100644 index 000000000000..7ccacc6c791c --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_2GB_of_10B_records.txt @@ -0,0 +1,28 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_batch_GBK_1 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_1 +--publishToInfluxDB=true +--sourceOptions={"numRecords":200000000,"keySizeBytes":1,"valueSizeBytes":9} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_4_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_4_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..8c6f6f1c89a0 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_4_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,28 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_batch_GBK_4 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_4 +--publishToInfluxDB=true +--sourceOptions={"numRecords":5000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=4 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_8_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_8_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..43f04dac1d02 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_fanout_8_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,28 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_batch_GBK_5 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_5 +--publishToInfluxDB=true +--sourceOptions={"numRecords":2500000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=8 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_10kB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_10kB_values.txt new file mode 100644 index 000000000000..c8f9ecc34770 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_10kB_values.txt @@ -0,0 +1,28 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_batch_GBK_6 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_6 +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":200,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_2MB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_2MB_values.txt new file mode 100644 index 000000000000..653004c6a04e --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Batch_reiterate_4_times_2MB_values.txt @@ -0,0 +1,28 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_batch_GBK_7 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_7 +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":10,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100B_records.txt new file mode 100644 index 000000000000..a6523c64edbc --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100B_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_streaming_GBK_2 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_2 +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100kB_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100kB_records.txt new file mode 100644 index 000000000000..422557e84a66 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_100kB_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_streaming_GBK_3 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_3 +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000,"keySizeBytes":10000,"valueSizeBytes":90000} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_10B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_10B_records.txt new file mode 100644 index 000000000000..da6c04d0d284 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_2GB_of_10B_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_streaming_GBK_1 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_1 +--publishToInfluxDB=true +--sourceOptions={"numRecords":200000000,"keySizeBytes":1,"valueSizeBytes":9} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_4_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_4_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..33181a939700 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_4_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_streaming_GBK_4 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_4 +--publishToInfluxDB=true +--sourceOptions={"numRecords":5000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=4 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_8_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_8_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..32b59df2a2e0 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_fanout_8_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_streaming_GBK_5 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_5 +--publishToInfluxDB=true +--sourceOptions={"numRecords":2500000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=8 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_10kB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_10kB_values.txt new file mode 100644 index 000000000000..376d7e3244a8 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_10kB_values.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_streaming_GBK_6 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_6 +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":200,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_2MB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_2MB_values.txt new file mode 100644 index 000000000000..b7bf9db40e82 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_Streaming_reiterate_4_times_2MB_values.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java_Dataflow_streaming_GBK_7 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_7 +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":10,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100B_records.txt new file mode 100644 index 000000000000..d9b1918383b2 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100B_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_batch_GBK_2 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_2 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100kB_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100kB_records.txt new file mode 100644 index 000000000000..66911feb7d17 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_100kB_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_batch_GBK_3 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_3 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000,"keySizeBytes":10000,"valueSizeBytes":90000} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_10B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_10B_records.txt new file mode 100644 index 000000000000..e265724ec1c1 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_2GB_of_10B_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_batch_GBK_1 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_1 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":200000000,"keySizeBytes":1,"valueSizeBytes":9} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..8610a9dff9f9 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_batch_GBK_4 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_4 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":5000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=4 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..65aa56993294 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_batch_GBK_5 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_5 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":2500000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=8 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_10kB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_10kB_values.txt new file mode 100644 index 000000000000..aaf66ef03505 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_10kB_values.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_batch_GBK_6 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_6 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":200,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_2MB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_2MB_values.txt new file mode 100644 index 000000000000..8698ac90cac1 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java11_reiterate_4_times_2MB_values.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_batch_GBK_7 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_7 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":10,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100B_records.txt new file mode 100644 index 000000000000..f5a432b6d140 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100B_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_batch_GBK_2 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_2 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100kB_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100kB_records.txt new file mode 100644 index 000000000000..976bd20f7dff --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_100kB_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_batch_GBK_3 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_3 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000,"keySizeBytes":10000,"valueSizeBytes":90000} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_10B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_10B_records.txt new file mode 100644 index 000000000000..89d356201a76 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_2GB_of_10B_records.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_batch_GBK_1 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_1 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":200000000,"keySizeBytes":1,"valueSizeBytes":9} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..0735c9bafc45 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_batch_GBK_4 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_4 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":5000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=4 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..4ea7f402cc58 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_batch_GBK_5 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_5 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":2500000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=8 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_10kB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_10kB_values.txt new file mode 100644 index 000000000000..881640714df2 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_10kB_values.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_batch_GBK_6 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_6 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":200,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_2MB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_2MB_values.txt new file mode 100644 index 000000000000..a09c16d1e66a --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Batch_Java17_reiterate_4_times_2MB_values.txt @@ -0,0 +1,29 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_batch_GBK_7 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_batch_gbk_7 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":10,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=false +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100B_records.txt new file mode 100644 index 000000000000..84349e3dc06e --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100B_records.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_streaming_GBK_2 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_2 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100kB_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100kB_records.txt new file mode 100644 index 000000000000..761fad3d11ba --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_100kB_records.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_streaming_GBK_3 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_3 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000,"keySizeBytes":10000,"valueSizeBytes":90000} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_10B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_10B_records.txt new file mode 100644 index 000000000000..1b6624e52482 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_2GB_of_10B_records.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_streaming_GBK_1 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_1 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":200000000,"keySizeBytes":1,"valueSizeBytes":9} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..cf173fa845c3 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_4_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_streaming_GBK_4 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_4 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":5000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=4 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..8e751d638ceb --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_fanout_8_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_streaming_GBK_5 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_5 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":2500000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=8 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_10kB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_10kB_values.txt new file mode 100644 index 000000000000..2e9c847cb832 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_10kB_values.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_streaming_GBK_6 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_6 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":200,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_2MB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_2MB_values.txt new file mode 100644 index 000000000000..dd410a81487c --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java11_reiterate_4_times_2MB_values.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java11_Dataflow_V2_streaming_GBK_7 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_7 +--influxTags={"runnerVersion":"v2","jdk":"java11"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":10,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100B_records.txt new file mode 100644 index 000000000000..05d93f213ec7 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100B_records.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_streaming_GBK_2 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_2 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100kB_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100kB_records.txt new file mode 100644 index 000000000000..2391bfe4e416 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_100kB_records.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_streaming_GBK_3 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_3 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000,"keySizeBytes":10000,"valueSizeBytes":90000} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_10B_records.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_10B_records.txt new file mode 100644 index 000000000000..3c4e04e02adf --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_2GB_of_10B_records.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_streaming_GBK_1 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_1 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":200000000,"keySizeBytes":1,"valueSizeBytes":9} +--fanout=1 +--iterations=1 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..d43ab9d84688 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_4_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_streaming_GBK_4 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_4 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":5000000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=4 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt new file mode 100644 index 000000000000..fd5233180ff6 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_fanout_8_times_with_2GB_10-byte_records_total.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_streaming_GBK_5 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_5 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":2500000,"keySizeBytes":10,"valueSizeBytes":90} +--fanout=8 +--iterations=1 +--numWorkers=16 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_10kB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_10kB_values.txt new file mode 100644 index 000000000000..50d17886b7c9 --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_10kB_values.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_streaming_GBK_6 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_6 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":200,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file diff --git a/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_2MB_values.txt b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_2MB_values.txt new file mode 100644 index 000000000000..e28d4d895ada --- /dev/null +++ b/.github/workflows/load-tests-job-configs/java_GBK_Dataflow_V2_Streaming_Java17_reiterate_4_times_2MB_values.txt @@ -0,0 +1,30 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +--region=us-central1 +--appName=load_tests_Java17_Dataflow_V2_streaming_GBK_7 +--tempLocation=gs://temp-storage-for-perf-tests/loadtests +--influxMeasurement=java_streaming_gbk_7 +--influxTags={"runnerVersion":"v2","jdk":"java17"} +--publishToInfluxDB=true +--sourceOptions={"numRecords":20000000,"keySizeBytes":10,"valueSizeBytes":90,"numHotKeys":10,"hotKeyFraction":1} +--fanout=1 +--iterations=4 +--numWorkers=5 +--autoscalingAlgorithm=NONE +--streaming=true +--inputWindowDurationSec=1200 +--runner=DataflowRunner \ No newline at end of file From 2e0521162f6e23de29172eebfd3fd91f64329634 Mon Sep 17 00:00:00 2001 From: Ahmed Abualsaud <65791736+ahmedabu98@users.noreply.github.com> Date: Tue, 3 Oct 2023 11:46:14 -0400 Subject: [PATCH 08/32] [Java BQ] Storage API streaming load test (#28264) * more accurate regex for table spec; add toTableSpec * storage api streaming load test * use io performance test utilities * only fail 30% of the time * use periodicimpulse stopAfter * use custom bq service with crashing behavior --- ...m_PostCommit_Java_IO_Performance_Tests.yml | 2 +- it/build.gradle | 4 + it/google-cloud-platform/build.gradle | 5 +- .../it/gcp/bigquery/BigQueryStreamingLT.java | 643 ++++++++++++++++++ .../beam/sdk/io/gcp/bigquery/BigQueryIO.java | 6 +- .../io/gcp/bigquery/BigQueryServicesImpl.java | 6 +- .../sdk/io/gcp/bigquery/BigQueryUtils.java | 29 +- .../io/gcp/bigquery/BigQueryUtilsTest.java | 37 +- 8 files changed, 723 insertions(+), 9 deletions(-) create mode 100644 it/google-cloud-platform/src/test/java/org/apache/beam/it/gcp/bigquery/BigQueryStreamingLT.java diff --git a/.github/workflows/beam_PostCommit_Java_IO_Performance_Tests.yml b/.github/workflows/beam_PostCommit_Java_IO_Performance_Tests.yml index 471782621fa7..b38651352a67 100644 --- a/.github/workflows/beam_PostCommit_Java_IO_Performance_Tests.yml +++ b/.github/workflows/beam_PostCommit_Java_IO_Performance_Tests.yml @@ -65,7 +65,7 @@ jobs: matrix: job_name: ["beam_PostCommit_Java_IO_Performance_Tests"] job_phrase: ["Run Java PostCommit IO Performance Tests"] - test_case: ["GCSPerformanceTest", "BigTablePerformanceTest"] + test_case: ["GCSPerformanceTest", "BigTablePerformanceTest", "BigQueryStorageApiStreamingPerformanceTest"] steps: - uses: actions/checkout@v4 - name: Setup repository diff --git a/it/build.gradle b/it/build.gradle index 35ccbba4c360..42a9ad9f4ee8 100644 --- a/it/build.gradle +++ b/it/build.gradle @@ -30,4 +30,8 @@ tasks.register('GCSPerformanceTest') { tasks.register('BigTablePerformanceTest') { dependsOn(":it:google-cloud-platform:BigTablePerformanceTest") +} + +tasks.register('BigQueryStorageApiStreamingPerformanceTest') { + dependsOn(":it:google-cloud-platform:BigQueryStorageApiStreamingPerformanceTest") } \ No newline at end of file diff --git a/it/google-cloud-platform/build.gradle b/it/google-cloud-platform/build.gradle index 0917ddd3e21a..4c5327b44c9a 100644 --- a/it/google-cloud-platform/build.gradle +++ b/it/google-cloud-platform/build.gradle @@ -15,6 +15,7 @@ * See the License for the specific language governing permissions and * limitations under the License. */ +import groovy.json.JsonOutput import org.apache.beam.gradle.IoPerformanceTestUtilities plugins { id 'org.apache.beam.module' } @@ -73,9 +74,11 @@ dependencies { testImplementation project(path: ":sdks:java:io:google-cloud-platform") testImplementation project(path: ":sdks:java:io:synthetic") testImplementation library.java.mockito_inline + testImplementation project(path: ":sdks:java:extensions:google-cloud-platform-core", configuration: "testRuntimeMigration") testRuntimeOnly project(path: ":runners:direct-java", configuration: "shadowTest") testRuntimeOnly library.java.slf4j_simple } tasks.register("GCSPerformanceTest", IoPerformanceTestUtilities.IoPerformanceTest, project, 'google-cloud-platform', 'FileBasedIOLT', ['configuration':'large','project':'apache-beam-testing', 'artifactBucket':'io-performance-temp']) -tasks.register("BigTablePerformanceTest", IoPerformanceTestUtilities.IoPerformanceTest, project, 'google-cloud-platform', 'BigTableIOLT', ['configuration':'large','project':'apache-beam-testing', 'artifactBucket':'io-performance-temp']) \ No newline at end of file +tasks.register("BigTablePerformanceTest", IoPerformanceTestUtilities.IoPerformanceTest, project, 'google-cloud-platform', 'BigTableIOLT', ['configuration':'large','project':'apache-beam-testing', 'artifactBucket':'io-performance-temp']) +tasks.register("BigQueryStorageApiStreamingPerformanceTest", IoPerformanceTestUtilities.IoPerformanceTest, project, 'google-cloud-platform', 'BigQueryStreamingLT', ['configuration':'large', 'project':'apache-beam-testing', 'artifactBucket':'io-performance-temp']) diff --git a/it/google-cloud-platform/src/test/java/org/apache/beam/it/gcp/bigquery/BigQueryStreamingLT.java b/it/google-cloud-platform/src/test/java/org/apache/beam/it/gcp/bigquery/BigQueryStreamingLT.java new file mode 100644 index 000000000000..4589f79f1aaa --- /dev/null +++ b/it/google-cloud-platform/src/test/java/org/apache/beam/it/gcp/bigquery/BigQueryStreamingLT.java @@ -0,0 +1,643 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.it.gcp.bigquery; + +import static org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toTableReference; +import static org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toTableSpec; +import static org.junit.Assert.assertEquals; +import static org.junit.Assert.assertNotEquals; + +import com.google.api.core.ApiFuture; +import com.google.api.services.bigquery.model.TableFieldSchema; +import com.google.api.services.bigquery.model.TableRow; +import com.google.api.services.bigquery.model.TableSchema; +import com.google.auto.value.AutoValue; +import com.google.cloud.bigquery.storage.v1.FlushRowsResponse; +import java.io.IOException; +import java.nio.ByteBuffer; +import java.time.Instant; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.concurrent.ThreadLocalRandom; +import java.util.stream.Collectors; +import org.apache.beam.it.common.PipelineLauncher; +import org.apache.beam.it.common.PipelineOperator; +import org.apache.beam.it.common.TestProperties; +import org.apache.beam.it.gcp.IOLoadTestBase; +import org.apache.beam.runners.dataflow.DataflowRunner; +import org.apache.beam.sdk.extensions.gcp.options.GcpOptions; +import org.apache.beam.sdk.io.GenerateSequence; +import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO; +import org.apache.beam.sdk.io.gcp.bigquery.BigQueryOptions; +import org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl; +import org.apache.beam.sdk.io.gcp.testing.BigqueryClient; +import org.apache.beam.sdk.options.PipelineOptionsFactory; +import org.apache.beam.sdk.testing.TestPipeline; +import org.apache.beam.sdk.testing.TestPipelineOptions; +import org.apache.beam.sdk.transforms.DoFn; +import org.apache.beam.sdk.transforms.MapElements; +import org.apache.beam.sdk.transforms.ParDo; +import org.apache.beam.sdk.transforms.PeriodicImpulse; +import org.apache.beam.sdk.transforms.Reshuffle; +import org.apache.beam.sdk.transforms.SerializableFunction; +import org.apache.beam.sdk.values.PCollection; +import org.apache.beam.sdk.values.TypeDescriptors; +import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Strings; +import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableMap; +import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Iterables; +import org.checkerframework.checker.nullness.qual.Nullable; +import org.joda.time.Duration; +import org.junit.AfterClass; +import org.junit.Before; +import org.junit.BeforeClass; +import org.junit.Ignore; +import org.junit.Rule; +import org.junit.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * Load test for the Storage Write API sink + * + *

This test is set up to first write rows using batch FILE_LOADS mode to a "source of truth" + * table. Afterwards, it will write the same rows in streaming mode with Storage API to a second + * table. Then it will query between these two tables to check that they are identical. There is + * also the option of providing an existing table with the expected data, in which case the test + * will skip the first step. + * + *

The throughput, length of test (in minutes), and data shape can be changed via pipeline + * options. See the cases in `getOptions()` for examples. + * + *

This also includes the option of testing the sink's retry resilience by setting the + * `crashIntervalSeconds` System property. This intentionally fails the worker or work item + * periodically and expects the sink to recover appropriately. Note: Metrics are not published when + * this is used. + */ +public class BigQueryStreamingLT extends IOLoadTestBase { + private static final Logger LOG = LoggerFactory.getLogger(BigQueryStreamingLT.class); + + private static final BigqueryClient BQ_CLIENT = new BigqueryClient("BigQueryStreamingLT"); + private static final String BIG_QUERY_DATASET_ID = + "storage_api_sink_load_test_" + System.nanoTime(); + + private TestConfiguration config; + private Integer crashIntervalSeconds; + + @Rule public final transient TestPipeline fileLoadsPipeline = TestPipeline.create(); + @Rule public final transient TestPipeline storageApiPipeline = TestPipeline.create(); + + @BeforeClass + public static void setUpTestClass() throws IOException, InterruptedException { + PipelineOptionsFactory.register(TestPipelineOptions.class); + BQ_CLIENT.createNewDataset(project, BIG_QUERY_DATASET_ID); + } + + @Before + public void setUpTest() { + String testConfig = + TestProperties.getProperty("configuration", "small", TestProperties.Type.PROPERTY); + config = TEST_CONFIGS.get(testConfig); + if (config == null) { + throw new IllegalArgumentException( + String.format( + "Unknown test configuration: [%s]. Known configs: %s", + testConfig, TEST_CONFIGS.keySet())); + } + // tempLocation needs to be set for file loads + if (!Strings.isNullOrEmpty(tempBucketName)) { + String tempLocation = String.format("gs://%s/temp/", tempBucketName); + fileLoadsPipeline.getOptions().as(TestPipelineOptions.class).setTempRoot(tempLocation); + fileLoadsPipeline.getOptions().setTempLocation(tempLocation); + } + + // Set expected table if the property is provided, + @Nullable + String expectedTable = + TestProperties.getProperty("expectedTable", "", TestProperties.Type.PROPERTY); + if (!Strings.isNullOrEmpty(expectedTable)) { + config.toBuilder().setExpectedTable(expectedTable).build(); + } + + crashIntervalSeconds = + Integer.parseInt( + TestProperties.getProperty("crashIntervalSeconds", "-1", TestProperties.Type.PROPERTY)); + } + + @AfterClass + public static void cleanup() { + BQ_CLIENT.deleteDataset(project, BIG_QUERY_DATASET_ID); + } + + private static final Map TEST_CONFIGS = + ImmutableMap.of( + "local", // 300K rows, >3 MB, 1K rows/s, >10KB/s + TestConfiguration.of(5, 5, 2, 1_000, "DirectRunner", null), + "small", // 600K rows, >30 MB, 1K rows/s, >50KB/s + TestConfiguration.of(10, 10, 5, 1_000, "DataflowRunner", null), + "medium", // 6M rows, >1.2 GB, 5K rows/s, >1MB/s + TestConfiguration.of(20, 20, 10, 5_000, "DataflowRunner", null), + "large", // 18M rows, >18 GB, 10K rows/s, >10MB/s + TestConfiguration.of(30, 50, 20, 10_000, "DataflowRunner", null)); + + /** Options for Bigquery IO Streaming load test. */ + @AutoValue + abstract static class TestConfiguration { + /** Rows will be generated for this many minutes. */ + abstract Integer getMinutes(); + + /** Data shape: The byte-size for each field. */ + abstract Integer getByteSizePerField(); + + /** Data shape: The number of fields per row. */ + abstract Integer getNumFields(); + + /** + * Rate of generated elements sent to the sink. Will run with a minimum of 1k rows per second. + */ + abstract Integer getRowsPerSecond(); + + abstract String getRunner(); + + /** + * The expected table to check against for correctness. If unset, the test will run a batch + * FILE_LOADS job and use the resulting table as a source of truth. + */ + @Nullable + abstract String getExpectedTable(); + + static TestConfiguration of( + int numMin, + int byteSizePerField, + int numFields, + int rowsPerSecond, + String runner, + @Nullable String expectedTable) { + return new AutoValue_BigQueryStreamingLT_TestConfiguration.Builder() + .setMinutes(numMin) + .setByteSizePerField(byteSizePerField) + .setNumFields(numFields) + .setRowsPerSecond(rowsPerSecond) + .setRunner(runner) + .setExpectedTable(expectedTable) + .build(); + } + + @AutoValue.Builder + abstract static class Builder { + abstract Builder setMinutes(int numMin); + + abstract Builder setByteSizePerField(int byteSizePerField); + + abstract Builder setNumFields(int numFields); + + abstract Builder setRowsPerSecond(int rowsPerSecond); + + abstract Builder setRunner(String runner); + + abstract Builder setExpectedTable(@Nullable String expectedTable); + + abstract TestConfiguration build(); + } + + abstract Builder toBuilder(); + } + + @Test + public void testExactlyOnceStreaming() throws IOException, InterruptedException { + runTest(BigQueryIO.Write.Method.STORAGE_WRITE_API); + } + + @Test + @Ignore + public void testAtLeastOnceStreaming() throws IOException, InterruptedException { + runTest(BigQueryIO.Write.Method.STORAGE_API_AT_LEAST_ONCE); + } + + public void runTest(BigQueryIO.Write.Method writeMethod) + throws IOException, InterruptedException { + long millis = Duration.standardMinutes(config.getMinutes()).getMillis(); + int rowsPerSecond = Math.max(config.getRowsPerSecond(), 1000); + + // The PeriodicImpulse source will generate an element every this many millis: + int fireInterval = 1; + // Each element from PeriodicImpulse will fan out to this many elements + // (applicable when a high row-per-second rate is set) + long multiplier = rowsPerSecond / 1000; + long totalRows = multiplier * millis / fireInterval; + // If we run with DataflowRunner and have not specified a positive crash duration for the sink, + // this signifies a performance test, and so we publish metrics to a BigQuery dataset + boolean publishMetrics = + config.getRunner().equalsIgnoreCase(DataflowRunner.class.getSimpleName()) + && crashIntervalSeconds <= 0; + + String expectedTable = config.getExpectedTable(); + GenerateTableRow genRow = + new GenerateTableRow(config.getNumFields(), config.getByteSizePerField()); + TableSchema schema = generateTableSchema(config.getNumFields()); + if (Strings.isNullOrEmpty(expectedTable)) { + String fileLoadsDescription = + String.format("fileloads-%s-records", withScaleSymbol(totalRows)); + expectedTable = + String.format("%s.%s.%s", project, BIG_QUERY_DATASET_ID, fileLoadsDescription); + LOG.info( + "No expected table was set. Will run a batch job to load {} rows to {}." + + " This will be used as the source of truth.", + totalRows, + expectedTable); + + fileLoadsPipeline + .apply(GenerateSequence.from(0).to(totalRows)) + .apply( + "Write to source of truth", + BigQueryIO.write() + .to(expectedTable) + .withFormatFunction(genRow) + .withMethod(BigQueryIO.Write.Method.FILE_LOADS) + .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_TRUNCATE) + .withSchema(schema)); + + // If running on Dataflow, launch pipeline via launcher utils + if (publishMetrics) { + PipelineLauncher.LaunchConfig options = + PipelineLauncher.LaunchConfig.builder("test-" + fileLoadsDescription) + .setSdk(PipelineLauncher.Sdk.JAVA) + .setPipeline(fileLoadsPipeline) + .addParameter("runner", config.getRunner()) + .build(); + + // Don't use PipelineOperator because we don't want to wait on this batch job + // The streaming job will run in parallel and it will take longer anyways; this job will + // finish by then. + pipelineLauncher.launch(project, region, options); + } else { + fileLoadsPipeline.run(); + } + } + + String atLeastOnce = + writeMethod == BigQueryIO.Write.Method.STORAGE_API_AT_LEAST_ONCE ? "-atleastonce" : ""; + String storageApiDescription = + String.format( + "storageapi%s-load-%sqps-%smin-%stotal", + atLeastOnce, + withScaleSymbol(rowsPerSecond), + config.getMinutes(), + withScaleSymbol(totalRows)); + String destTable = + String.format("%s.%s.%s", project, BIG_QUERY_DATASET_ID, storageApiDescription); + LOG.info( + "Preparing a source generating at a rate of {} rows per second for a period of {} minutes." + + " This results in a total of {} rows written to {}.", + rowsPerSecond, + config.getMinutes(), + totalRows, + destTable); + + PCollection source = + storageApiPipeline + .apply( + PeriodicImpulse.create() + .stopAfter(Duration.millis(millis - 1)) + .withInterval(Duration.millis(fireInterval))) + .apply( + "Extract row IDs", + MapElements.into(TypeDescriptors.longs()) + .via(instant -> instant.getMillis() % totalRows)); + if (multiplier > 1) { + source = + source + .apply( + String.format("One input to %s outputs", multiplier), + ParDo.of(new MultiplierDoFn(multiplier))) + .apply("Reshuffle fanout", Reshuffle.viaRandomKey()); + } + + BigQueryIO.Write storageWriteTransform = + BigQueryIO.write() + .to(destTable) + .withFormatFunction(genRow) + .withMethod(writeMethod) + .withTriggeringFrequency(Duration.standardSeconds(1)) + .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND) + .withSchema(schema); + + // If a crash interval is specified, use our crashing service implementation + if (crashIntervalSeconds > 0) { + LOG.info( + "A crash interval of {} seconds has been set. The Storage API sink will periodically crash.", + crashIntervalSeconds); + storageWriteTransform = + storageWriteTransform.withTestServices( + new CrashingBigQueryServices(crashIntervalSeconds)); + } + source.apply(storageWriteTransform); + + // If we're publishing metrics, launch pipeline via Dataflow launcher utils and export metrics + if (publishMetrics) { + // Set up dataflow job + PipelineLauncher.LaunchConfig storageApiOptions = + PipelineLauncher.LaunchConfig.builder("test-" + storageApiDescription) + .setSdk(PipelineLauncher.Sdk.JAVA) + .setPipeline(storageApiPipeline) + .addParameter("runner", config.getRunner()) + .addParameter("streaming", "true") + .addParameter("experiments", GcpOptions.STREAMING_ENGINE_EXPERIMENT) + .build(); + // Launch job + PipelineLauncher.LaunchInfo storageApiInfo = + pipelineLauncher.launch(project, region, storageApiOptions); + // Wait until the streaming pipeline is finished and drained, get the result. + PipelineOperator.Result storageApiResult = + pipelineOperator.waitUntilDoneAndFinish( + PipelineOperator.Config.builder() + .setJobId(storageApiInfo.jobId()) + .setProject(project) + .setRegion(region) + .setTimeoutAfter(java.time.Duration.ofMinutes(config.getMinutes() * 2L)) + .setCheckAfter(java.time.Duration.ofSeconds(config.getMinutes() * 60 / 20)) + .build()); + // Check the initial launch didn't fail + assertNotEquals(PipelineOperator.Result.LAUNCH_FAILED, storageApiResult); + // Check that the pipeline succeeded + assertEquals( + PipelineLauncher.JobState.DONE, + pipelineLauncher.getJobStatus(project, region, storageApiInfo.jobId())); + + // Export metrics + MetricsConfiguration metricsConfig = + MetricsConfiguration.builder() + .setInputPCollection( + (multiplier > 1) ? "Extract row IDs.out0" : "Reshuffle fanout.out0") + .build(); + try { + exportMetricsToBigQuery(storageApiInfo, getMetrics(storageApiInfo, metricsConfig)); + } catch (Exception e) { + // Just log the error. Don't re-throw because we have accuracy checks that are more + // important below + LOG.error("Encountered an error while exporting metrics to BigQuery:\n{}", e); + } + } + // If we're not publishing metrics, just run the pipeline normally + else { + storageApiPipeline.run().waitUntilFinish(); + } + + LOG.info( + "Write pipeline finished writing to {}. Will now perform accuracy checks against the rows in {}.", + destTable, + expectedTable); + // Filter our structs and arrays because they are not supported when querying with `EXCEPT + // DISTINCT` + String columnNames = + schema.getFields().stream() + .map(TableFieldSchema::getName) + .filter(fieldName -> fieldName.startsWith(FIELD_PREFIX)) + .collect(Collectors.joining(", ")); + checkCorrectness(columnNames, destTable, expectedTable); + // check non-duplication for STORAGE_WRITE_API + if (writeMethod == BigQueryIO.Write.Method.STORAGE_WRITE_API) { + checkNonDuplication(destTable, expectedTable, totalRows); + } + } + + // A BigQueryServices class that is almost identical to BigQueryServicesImpl, except that + // it returns a dataset service implementation that periodically crashes on flush() + private static class CrashingBigQueryServices extends BigQueryServicesImpl { + public final Integer crashIntervalSeconds; + + public CrashingBigQueryServices(Integer crashIntervalSeconds) { + this.crashIntervalSeconds = crashIntervalSeconds; + } + + @Override + public DatasetService getDatasetService(BigQueryOptions options) { + return new CrashingDatasetService(options); + } + + private class CrashingDatasetService extends BigQueryServicesImpl.DatasetServiceImpl { + private Instant lastCrash; + + public CrashingDatasetService(BigQueryOptions bqOptions) { + super(bqOptions); + } + + // We choose flush() to host the crash logic because it's called frequently during + // the span of a Storage Write API pipeline + @Override + public ApiFuture flush(String streamName, long flushOffset) + throws IOException, InterruptedException { + maybeCrash(); + return super.flush(streamName, flushOffset); + } + + // When specified, crash when the interval is met by: + // throwing an exception (failed work item) or + // performing a System exit (worker failure) + private void maybeCrash() { + if (crashIntervalSeconds != -1) { + Instant last = lastCrash; + if (last == null) { + lastCrash = Instant.now(); + } else if (Instant.now().isAfter(last.plusSeconds(crashIntervalSeconds))) { + lastCrash = Instant.now(); + + // Only crash 30% of the time (this is arbitrary) + if (ThreadLocalRandom.current().nextInt(100) < 30) { + // Half the time throw an exception (which fails this specific work item) + // Other half crash the entire worker, which fails all work items on this worker + if (ThreadLocalRandom.current().nextBoolean()) { + throw new RuntimeException( + "Throwing a random exception! This is for testing retry resilience."); + } else { + LOG.error("Crashing this worker! This is for testing retry resilience."); + System.exit(0); + } + } + } + } + } + } + } + + public void checkCorrectness(String columnNames, String destTable, String expectedTable) + throws IOException, InterruptedException { + // Need table spec to be in the format `myproject.mydataset.mytable` to include in BQ queries. + destTable = toTableSpec(toTableReference(destTable)); + expectedTable = toTableSpec(toTableReference(expectedTable)); + + String checkCorrectnessQuery = + String.format( + "WITH \n" + + "storage_api_table AS (SELECT %s FROM `%s`), \n" + + "expected_table AS (SELECT %s FROM `%s`), \n" + + "rows_mismatched AS (SELECT * FROM expected_table EXCEPT DISTINCT SELECT * FROM storage_api_table) \n" + + "SELECT COUNT(*) FROM rows_mismatched", + columnNames, destTable, columnNames, expectedTable); + + LOG.info("Executing query to check correctness:\n{}", checkCorrectnessQuery); + + TableRow queryResponse = + Iterables.getOnlyElement( + BQ_CLIENT.queryUnflattened(checkCorrectnessQuery, "google.com:clouddfe", true, true)); + long result = Long.parseLong((String) queryResponse.get("f0_")); + + LOG.info("Number of mismatched rows: {}", result); + assertEquals( + String.format("Saw %s rows that are missing from %s.", result, destTable), 0, result); + } + + public void checkNonDuplication(String destTable, String expectedTable, long totalRows) + throws IOException, InterruptedException { + String checkDuplicationQuery = + String.format( + "SELECT \n" + + "(SELECT COUNT(*) FROM `%s`) AS actualCount,\n" + + "(SELECT COUNT(*) FROM `%s`) AS expectedCount", + destTable, expectedTable); + + LOG.info("Executing query to check non-duplication:\n{}", checkDuplicationQuery); + + TableRow queryResponse = + Iterables.getOnlyElement( + BQ_CLIENT.queryUnflattened(checkDuplicationQuery, "google.com:clouddfe", true, true)); + long actualCount = Long.parseLong((String) queryResponse.get("actualCount")); + long expectedCount = Long.parseLong((String) queryResponse.get("expectedCount")); + assertEquals( + "Comparing actual table count and expected table count.", expectedCount, actualCount); + assertEquals( + "Comparing actual table count and calculated expected count.", totalRows, actualCount); + } + + // From a value, get the appropriate shortened name that includes the scale + // For example, from 12,345,678 return 12M + public String withScaleSymbol(long value) { + List scales = Arrays.asList("", "K", "M", "B", "T", "Q"); + int scaleIndex = 0; + while (value / 1000 > 0) { + scaleIndex++; + value /= 1000; + } + + return String.format("%s%s", value, scales.get(scaleIndex)); + } + + public static class MultiplierDoFn extends DoFn { + private long multiplier; + + MultiplierDoFn(long multiplier) { + this.multiplier = multiplier; + } + + @ProcessElement + public void processElement(@Element Long element, OutputReceiver outputReceiver) { + for (int i = 0; i < multiplier; i++) { + outputReceiver.output(element); + } + } + } + + static final String FIELD_PREFIX = "byte_field_"; + static final String RECORD_FIELD_PREFIX = "record_" + FIELD_PREFIX; + static final String NESTED_FIELD_PREFIX = "nested_" + FIELD_PREFIX; + static final String REPEATED_FIELD_PREFIX = "repeated_" + FIELD_PREFIX; + + public static TableSchema generateTableSchema(int numFields) { + List fields = new ArrayList<>(numFields); + fields.add(new TableFieldSchema().setType("INTEGER").setName("id")); + int j = 1; + for (int i = 1; i <= numFields; i++) { + TableFieldSchema fieldSchema = new TableFieldSchema(); + // Every 4th field will be a struct, every 5th field will be an array + if (j == 4) { + fieldSchema + .setType("RECORD") + .setName(RECORD_FIELD_PREFIX + i) + .setFields( + Arrays.asList( + new TableFieldSchema().setType("BYTES").setName(NESTED_FIELD_PREFIX + 1), + new TableFieldSchema().setType("BYTES").setName(NESTED_FIELD_PREFIX + 2))); + } else if (j == 5) { + fieldSchema.setType("BYTES").setMode("REPEATED").setName(REPEATED_FIELD_PREFIX + i); + j = 0; + } else { + fieldSchema.setType("BYTES").setName(FIELD_PREFIX + i); + } + j++; + fields.add(fieldSchema); + } + return new TableSchema().setFields(fields); + } + + static class GenerateTableRow implements SerializableFunction { + private final int numFields; + private final int sizePerField; + + public GenerateTableRow(int numFields, int sizePerField) { + assert numFields >= 0; + this.numFields = numFields; + this.sizePerField = sizePerField; + } + + @Override + public TableRow apply(Long rowId) { + TableRow row = new TableRow(); + row.set("id", rowId); + byte[] payload = getPayload(sizePerField, rowId).array(); + int j = 1; + for (int i = 1; i <= numFields; i++) { + // TODO: we can also make the struct and array sizes variable + if (j == 4) { + row.set( + RECORD_FIELD_PREFIX + i, + new TableRow() + .set(NESTED_FIELD_PREFIX + 1, Arrays.copyOfRange(payload, 0, sizePerField / 2)) + .set( + NESTED_FIELD_PREFIX + 2, + Arrays.copyOfRange(payload, sizePerField / 2, sizePerField))); + } else if (j == 5) { + row.set( + REPEATED_FIELD_PREFIX + i, + Arrays.asList( + Arrays.copyOfRange(payload, 0, sizePerField / 3), + Arrays.copyOfRange(payload, sizePerField / 3, sizePerField * 2 / 3), + Arrays.copyOfRange(payload, sizePerField * 2 / 3, sizePerField))); + j = 0; + } else { + row.set(FIELD_PREFIX + i, payload); + } + j++; + } + return row; + } + + private @Nullable ByteBuffer getPayload(int payloadSize, long rowId) { + if (payloadSize <= 0) { + return null; + } + byte[] payload = new byte[payloadSize]; + Random localRandom = ThreadLocal.withInitial(() -> new Random(rowId)).get(); + localRandom.setSeed(rowId); + localRandom.nextBytes(payload); + + return ByteBuffer.wrap(payload); + } + } +} diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java index 58d769312444..ce8ddb683d1e 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java @@ -2499,6 +2499,8 @@ public enum WriteDisposition { *

The replacement may occur in multiple steps - for instance by first removing the * existing table, then creating a replacement, then filling it in. This is not an atomic * operation, and external programs may see the table in any of these intermediate steps. + * + *

Note: This write disposition is only supported for the FILE_LOADS write method. */ WRITE_TRUNCATE, @@ -3250,7 +3252,7 @@ && getStorageApiTriggeringFrequency(bqOptions) != null) { checkArgument(getNumFileShards() == 0, "Number of file shards" + error); if (getStorageApiTriggeringFrequency(bqOptions) != null) { - LOG.warn("Storage API triggering frequency" + error); + LOG.warn("Setting a triggering frequency" + error); } if (getStorageApiNumStreams(bqOptions) != 0) { LOG.warn("Setting the number of Storage API streams" + error); @@ -3266,6 +3268,8 @@ && getStorageApiTriggeringFrequency(bqOptions) != null) { checkArgument( !getAutoSchemaUpdate(), "withAutoSchemaUpdate only supported when using STORAGE_WRITE_API or STORAGE_API_AT_LEAST_ONCE."); + } else if (getWriteDisposition() == WriteDisposition.WRITE_TRUNCATE) { + LOG.error("The Storage API sink does not support the WRITE_TRUNCATE write disposition."); } if (getRowMutationInformationFn() != null) { checkArgument(getMethod() == Method.STORAGE_API_AT_LEAST_ONCE); diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java index 17b5c5ebd99b..3d4565cb086e 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java @@ -154,7 +154,7 @@ "nullness", // TODO(https://github.com/apache/beam/issues/20506) "keyfor" }) -class BigQueryServicesImpl implements BigQueryServices { +public class BigQueryServicesImpl implements BigQueryServices { private static final Logger LOG = LoggerFactory.getLogger(BigQueryServicesImpl.class); // The maximum number of retries to execute a BigQuery RPC. @@ -549,7 +549,7 @@ public void close() throws Exception {} } @VisibleForTesting - static class DatasetServiceImpl implements DatasetService { + public static class DatasetServiceImpl implements DatasetService { // Backoff: 200ms * 1.5 ^ n, n=[1,5] private static final FluentBackoff INSERT_BACKOFF_FACTORY = FluentBackoff.DEFAULT.withInitialBackoff(Duration.millis(200)).withMaxRetries(5); @@ -610,7 +610,7 @@ static class DatasetServiceImpl implements DatasetService { this.executor = null; } - private DatasetServiceImpl(BigQueryOptions bqOptions) { + public DatasetServiceImpl(BigQueryOptions bqOptions) { this.errorExtractor = new ApiErrorExtractor(); this.client = newBigQueryClient(bqOptions).build(); this.newWriteClient = newBigQueryWriteClient(bqOptions); diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtils.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtils.java index 00ee815c3c93..fa5ffae0909d 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtils.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtils.java @@ -64,6 +64,7 @@ import org.apache.beam.sdk.transforms.SerializableFunctions; import org.apache.beam.sdk.util.Preconditions; import org.apache.beam.sdk.values.Row; +import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Strings; import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableMap; import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableSet; import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Iterables; @@ -94,8 +95,15 @@ public class BigQueryUtils { // For parsing the format used to refer to tables parameters in BigQueryIO. // "{project_id}:{dataset_id}.{table_id}" or // "{project_id}.{dataset_id}.{table_id}" + // following documentation in + // https://cloud.google.com/resource-manager/docs/creating-managing-projects#before_you_begin, + // https://cloud.google.com/bigquery/docs/datasets#dataset-naming, and + // https://cloud.google.com/bigquery/docs/tables#table_naming private static final Pattern SIMPLE_TABLE_PATTERN = - Pattern.compile("^(?[^\\.:]+)[\\.:](?[^\\.:]+)[\\.](?[^\\.:]+)$"); + Pattern.compile( + "^(?[a-z][a-z0-9.\\-:]{4,28}[a-z0-9])[\\:.]" + + "(?[a-zA-Z0-9_]{1,1024})[\\.]" + + "(?
[\\p{L}\\p{M}\\p{N}\\p{Pc}\\p{Pd}\\p{Zs}$]{1,1024})$"); /** Options for how to convert BigQuery data to Beam data. */ @AutoValue @@ -1000,6 +1008,25 @@ private static Object convertAvroNumeric(Object value) { return null; } + /** + * @param tableReference - a BigQueryTableIdentifier that may or may not include the project. + * @return a String representation of the table destination in the form: + * `myproject.mydataset.mytable` + */ + public static @Nullable String toTableSpec(TableReference tableReference) { + if (tableReference.getDatasetId() == null || tableReference.getTableId() == null) { + throw new IllegalArgumentException( + String.format( + "Table reference [%s] must include at least a dataset and a table.", tableReference)); + } + String tableSpec = + String.format("%s.%s", tableReference.getDatasetId(), tableReference.getTableId()); + if (!Strings.isNullOrEmpty(tableReference.getProjectId())) { + tableSpec = String.format("%s.%s", tableReference.getProjectId(), tableSpec); + } + return tableSpec; + } + private static @Nullable ServiceCallMetric callMetricForMethod( @Nullable TableReference tableReference, String method) { if (tableReference != null) { diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtilsTest.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtilsTest.java index f4074cc1a556..d73ff5e2b712 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtilsTest.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtilsTest.java @@ -19,6 +19,7 @@ import static org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toTableRow; import static org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toTableSchema; +import static org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils.toTableSpec; import static org.hamcrest.MatcherAssert.assertThat; import static org.hamcrest.Matchers.contains; import static org.hamcrest.Matchers.containsInAnyOrder; @@ -994,6 +995,27 @@ public void testToBeamRow_avro_array_array_row() { assertEquals(expected, beamRow); } + @Test + public void testToTableSpec() { + TableReference withProject = + new TableReference().setProjectId("project").setDatasetId("dataset").setTableId("table"); + TableReference withoutProject = + new TableReference().setDatasetId("dataset").setTableId("table"); + TableReference withDatasetOnly = new TableReference().setDatasetId("dataset"); + TableReference withTableOnly = new TableReference().setTableId("table"); + + assertEquals("project.dataset.table", toTableSpec(withProject)); + assertEquals("dataset.table", toTableSpec(withoutProject)); + assertThrows( + "must include at least a dataset and a table", + IllegalArgumentException.class, + () -> toTableSpec(withDatasetOnly)); + assertThrows( + "must include at least a dataset and a table", + IllegalArgumentException.class, + () -> toTableSpec(withTableOnly)); + } + @Test public void testToTableReference() { { @@ -1020,6 +1042,14 @@ public void testToTableReference() { assertEquals("mytable", tr.getTableId()); } + { + // Test project that contains a dot and colon + TableReference tr = BigQueryUtils.toTableReference("project.with:domain.mydataset.mytable"); + assertEquals("project.with:domain", tr.getProjectId()); + assertEquals("mydataset", tr.getDatasetId()); + assertEquals("mytable", tr.getTableId()); + } + // Invalid scenarios assertNull(BigQueryUtils.toTableReference("")); assertNull(BigQueryUtils.toTableReference(":.")); @@ -1031,12 +1061,15 @@ public void testToTableReference() { assertNull(BigQueryUtils.toTableReference("myproject:mydataset.")); assertNull(BigQueryUtils.toTableReference("myproject:mydataset.mytable.")); assertNull(BigQueryUtils.toTableReference("myproject:mydataset:mytable:")); + assertNull(BigQueryUtils.toTableReference("myproject:my dataset:mytable:")); assertNull(BigQueryUtils.toTableReference(".invalidleadingdot.mydataset.mytable")); assertNull(BigQueryUtils.toTableReference("invalidtrailingdot.mydataset.mytable.")); assertNull(BigQueryUtils.toTableReference(":invalidleadingcolon.mydataset.mytable")); assertNull(BigQueryUtils.toTableReference("invalidtrailingcolon.mydataset.mytable:")); - assertNull(BigQueryUtils.toTableReference("myproject.mydataset.mytable.myinvalidpart")); - assertNull(BigQueryUtils.toTableReference("myproject:mydataset.mytable.myinvalidpart")); + assertNull(BigQueryUtils.toTableReference("projectendswithhyphen-.mydataset.mytable")); + assertNull( + BigQueryUtils.toTableReference( + "projectnamegoesbeyondthe30characterlimit.mydataset.mytable")); assertNull( BigQueryUtils.toTableReference("/projects/extraslash/datasets/mydataset/tables/mytable")); From 12b071402035a0404c4f6e4a83124b3839b5de40 Mon Sep 17 00:00:00 2001 From: Danny McCormick Date: Tue, 3 Oct 2023 14:02:48 -0400 Subject: [PATCH 09/32] Add notebook for per key models (#28327) * Add notebook for per key models * Wording updates * Add new notebook to readme * Apply suggestions from Rebecca Co-authored-by: Rebecca Szper <98840847+rszper@users.noreply.github.com> * Clarify return type * Missing comma * temporarily install from head so this is linkable --------- Co-authored-by: Rebecca Szper <98840847+rszper@users.noreply.github.com> --- examples/notebooks/beam-ml/README.md | 1 + .../notebooks/beam-ml/per_key_models.ipynb | 608 ++++++++++++++++++ 2 files changed, 609 insertions(+) create mode 100644 examples/notebooks/beam-ml/per_key_models.ipynb diff --git a/examples/notebooks/beam-ml/README.md b/examples/notebooks/beam-ml/README.md index 77bf3fc99f15..a1fe7ab19f51 100644 --- a/examples/notebooks/beam-ml/README.md +++ b/examples/notebooks/beam-ml/README.md @@ -77,6 +77,7 @@ This section contains the following example notebooks. ### Multi-model pipelines * [Ensemble model using an image captioning and ranking](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_multi_model.ipynb) +* [Run ML Inference with Different Models Per Key](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/per_key_models.ipynb) ### Model Evaluation diff --git a/examples/notebooks/beam-ml/per_key_models.ipynb b/examples/notebooks/beam-ml/per_key_models.ipynb new file mode 100644 index 000000000000..b529449555d0 --- /dev/null +++ b/examples/notebooks/beam-ml/per_key_models.ipynb @@ -0,0 +1,608 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "source": [ + "# @title ###### Licensed to the Apache Software Foundation (ASF), Version 2.0 (the \"License\")\n", + "\n", + "# Licensed to the Apache Software Foundation (ASF) under one\n", + "# or more contributor license agreements. See the NOTICE file\n", + "# distributed with this work for additional information\n", + "# regarding copyright ownership. The ASF licenses this file\n", + "# to you under the Apache License, Version 2.0 (the\n", + "# \"License\"); you may not use this file except in compliance\n", + "# with the License. You may obtain a copy of the License at\n", + "#\n", + "# http://www.apache.org/licenses/LICENSE-2.0\n", + "#\n", + "# Unless required by applicable law or agreed to in writing,\n", + "# software distributed under the License is distributed on an\n", + "# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", + "# KIND, either express or implied. See the License for the\n", + "# specific language governing permissions and limitations\n", + "# under the License" + ], + "metadata": { + "id": "OsFaZscKSPvo" + }, + "execution_count": 1, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "# Run ML inference with multiple differently-trained models\n", + "\n", + "
\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ], + "metadata": { + "id": "ZUSiAR62SgO8" + } + }, + { + "cell_type": "markdown", + "source": [ + "Running inference with multiple differently-trained models performing the same task is useful in many scenarios, including the following examples:\n", + "\n", + "* You want to compare the performance of multiple different models.\n", + "* You have models trained on different datasets that you want to use conditionally based on additional metadata.\n", + "\n", + "In Apache Beam, the recommended way to run inference is to use the `RunInference` transform. By using a `KeyedModelHandler`, you can efficiently run inference with O(100s) of models without having to manage memory yourself.\n", + "\n", + "This notebook demonstrates how to use a `KeyedModelHandler` to run inference in an Apache Beam pipeline with multiple different models on a per-key basis. This notebook uses pretrained pipelines from Hugging Face. Before continuing with this notebook, it is recommended that you walk through the [beginner RunInference notebook](https://colab.sandbox.google.com/github/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_pytorch_tensorflow_sklearn.ipynb)." + ], + "metadata": { + "id": "ZAVOrrW2An1n" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Install dependencies\n", + "\n", + "First, install both Apache Beam and the dependencies needed by Hugging Face." + ], + "metadata": { + "id": "_fNyheQoDgGt" + } + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "B-ENznuJqArA", + "outputId": "f72963fc-82db-4d0d-9225-07f6b501e256" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "" + ] + } + ], + "source": [ + "# Note that this notebook currently installs from Beam head since this feature hasn't been released yet.\n", + "# It will be released with version 2.51.0, at which point you can install with the following command:\n", + "# !pip install apache_beam[gcp]>=2.51.0 --quiet\n", + "!git clone https://github.com/apache/beam\n", + "!pip install -r beam/sdks/python/build-requirements.txt\n", + "!pip install -e ./beam/sdks/python[gcp]\n", + "!pip install torch --quiet\n", + "!pip install transformers --quiet\n", + "\n", + "# To use the newly installed versions, restart the runtime.\n", + "exit()" + ] + }, + { + "cell_type": "code", + "source": [ + "from typing import Dict\n", + "from typing import Iterable\n", + "from typing import Tuple\n", + "\n", + "from transformers import pipeline\n", + "\n", + "import apache_beam as beam\n", + "from apache_beam.ml.inference.base import KeyedModelHandler\n", + "from apache_beam.ml.inference.base import KeyModelMapping\n", + "from apache_beam.ml.inference.base import PredictionResult\n", + "from apache_beam.ml.inference.huggingface_inference import HuggingFacePipelineModelHandler\n", + "from apache_beam.ml.inference.base import RunInference" + ], + "metadata": { + "id": "wUmBEglvsOYW" + }, + "execution_count": 1, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Define the model configurations\n", + "\n", + "A model handler is the Apache Beam method used to define the configuration needed to load and invoke models. Because this example uses two models, we define two model handlers, one for each model. Because both models are incapsulated within Hugging Face pipelines, we use the model handler `HuggingFacePipelineModelHandler`.\n", + "\n", + "In this notebook, we load the models using Hugging Face and run them against an example. The models produce different outputs." + ], + "metadata": { + "id": "uEqljVgCD7hx" + } + }, + { + "cell_type": "code", + "source": [ + "distilbert_mh = HuggingFacePipelineModelHandler('text-classification', model=\"distilbert-base-uncased-finetuned-sst-2-english\")\n", + "roberta_mh = HuggingFacePipelineModelHandler('text-classification', model=\"roberta-large-mnli\")\n", + "\n", + "distilbert_pipe = pipeline('text-classification', model=\"distilbert-base-uncased-finetuned-sst-2-english\")\n", + "roberta_large_pipe = pipeline(model=\"roberta-large-mnli\")" + ], + "metadata": { + "id": "v2NJT5ZcxgH5", + "outputId": "3924d72e-5c49-477d-c50f-6d9098f5a4b2" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading (…)lve/main/config.json: 0%| | 0.00/629 [00:00-`." + ], + "metadata": { + "id": "r6GXL5PLFBY7" + } + }, + { + "cell_type": "code", + "source": [ + "class FormatExamples(beam.DoFn):\n", + " \"\"\"\n", + " Map each example to a tuple of ('-', 'example').\n", + " We use these keys to map our elements to the correct models.\n", + " \"\"\"\n", + " def process(self, element: Tuple[str, str]) -> Iterable[Tuple[str, str]]:\n", + " yield (f'distilbert-{element[1]}', element[0])\n", + " yield (f'roberta-{element[1]}', element[0])" + ], + "metadata": { + "id": "p2uVwws8zRpg" + }, + "execution_count": 6, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Use the formatted keys to define a `KeyedModelHandler` that maps keys to the `ModelHandler` used for those keys. The `KeyedModelHandler` method lets you define an optional `max_models_per_worker_hint`, which limits the number of models that can be held in a single worker process at one time. If you're worried about your worker running out of memory, use this option. For more information about managing memory, see [Use a keyed ModelHandler](https://beam.apache.org/documentation/sdks/python-machine-learning/index.html#use-a-keyed-modelhandler)." + ], + "metadata": { + "id": "IP65_5nNGIb8" + } + }, + { + "cell_type": "code", + "source": [ + "per_key_mhs = [\n", + " KeyModelMapping(['distilbert-positive', 'distilbert-neutral', 'distilbert-negative'], distilbert_mh),\n", + " KeyModelMapping(['roberta-positive', 'roberta-neutral', 'roberta-negative'], roberta_mh)\n", + "]\n", + "mh = KeyedModelHandler(per_key_mhs, max_models_per_worker_hint=2)" + ], + "metadata": { + "id": "DZpfjeGL2hMG" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Postprocess the results\n", + "\n", + "The `RunInference` transform returns a Tuple containing:\n", + "* the original key\n", + "* a `PredictionResult` object containing the original example and the inference.\n", + "Use those outputs to extract the relevant data. Then, to compare each model's prediction, group this data by the original example." + ], + "metadata": { + "id": "_a4ZmnD5FSeG" + } + }, + { + "cell_type": "code", + "source": [ + "class ExtractResults(beam.DoFn):\n", + " \"\"\"\n", + " Extract the relevant data from the PredictionResult object.\n", + " \"\"\"\n", + " def process(self, element: Tuple[str, PredictionResult]) -> Iterable[Tuple[str, Dict[str, str]]]:\n", + " actual_sentiment = element[0].split('-')[1]\n", + " model = element[0].split('-')[0]\n", + " result = element[1]\n", + " example = result.example\n", + " predicted_sentiment = result.inference[0]['label']\n", + "\n", + " yield (example, {'model': model, 'actual_sentiment': actual_sentiment, 'predicted_sentiment': predicted_sentiment})" + ], + "metadata": { + "id": "FOwFNQA053TG" + }, + "execution_count": 8, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Finally, print the results produced by each model." + ], + "metadata": { + "id": "JVnv4gGbFohk" + } + }, + { + "cell_type": "code", + "source": [ + "class PrintResults(beam.DoFn):\n", + " \"\"\"\n", + " Print the results produced by each model along with the actual sentiment.\n", + " \"\"\"\n", + " def process(self, element: Tuple[str, Iterable[Dict[str, str]]]):\n", + " example = element[0]\n", + " actual_sentiment = element[1][0]['actual_sentiment']\n", + " predicted_sentiment_1 = element[1][0]['predicted_sentiment']\n", + " model_1 = element[1][0]['model']\n", + " predicted_sentiment_2 = element[1][1]['predicted_sentiment']\n", + " model_2 = element[1][1]['model']\n", + "\n", + " if model_1 == 'distilbert':\n", + " distilbert_prediction = predicted_sentiment_1\n", + " roberta_prediction = predicted_sentiment_2\n", + " else:\n", + " roberta_prediction = predicted_sentiment_1\n", + " distilbert_prediction = predicted_sentiment_2\n", + "\n", + " print(f'Example: {example}\\nActual Sentiment: {actual_sentiment}\\n'\n", + " f'Distilbert Prediction: {distilbert_prediction}\\n'\n", + " f'Roberta Prediction: {roberta_prediction}\\n------------')" + ], + "metadata": { + "id": "kUQJNYOa9Q5-" + }, + "execution_count": 9, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Run the pipeline\n", + "\n", + "Put together all of the pieces to run a single Apache Beam pipeline." + ], + "metadata": { + "id": "-LrpmM2PGAkf" + } + }, + { + "cell_type": "code", + "source": [ + "with beam.Pipeline() as beam_pipeline:\n", + "\n", + " formatted_examples = (\n", + " beam_pipeline\n", + " | \"ReadExamples\" >> beam.Create(examples)\n", + " | \"FormatExamples\" >> beam.ParDo(FormatExamples()))\n", + " inferences = (\n", + " formatted_examples\n", + " | \"Run Inference\" >> RunInference(mh)\n", + " | \"ExtractResults\" >> beam.ParDo(ExtractResults())\n", + " | \"GroupByExample\" >> beam.GroupByKey()\n", + " )\n", + "\n", + " inferences | beam.ParDo(PrintResults())\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 463 + }, + "id": "B9Wti3XH0Iqe", + "outputId": "528ad732-ecf8-4877-ab6a-badad7944fed" + }, + "execution_count": 10, + "outputs": [ + { + "output_type": "display_data", + "data": { + "application/javascript": [ + "\n", + " if (typeof window.interactive_beam_jquery == 'undefined') {\n", + " var jqueryScript = document.createElement('script');\n", + " jqueryScript.src = 'https://code.jquery.com/jquery-3.4.1.slim.min.js';\n", + " jqueryScript.type = 'text/javascript';\n", + " jqueryScript.onload = function() {\n", + " var datatableScript = document.createElement('script');\n", + " datatableScript.src = 'https://cdn.datatables.net/1.10.20/js/jquery.dataTables.min.js';\n", + " datatableScript.type = 'text/javascript';\n", + " datatableScript.onload = function() {\n", + " window.interactive_beam_jquery = jQuery.noConflict(true);\n", + " window.interactive_beam_jquery(document).ready(function($){\n", + " \n", + " });\n", + " }\n", + " document.head.appendChild(datatableScript);\n", + " };\n", + " document.head.appendChild(jqueryScript);\n", + " } else {\n", + " window.interactive_beam_jquery(document).ready(function($){\n", + " \n", + " });\n", + " }" + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Example: This restaurant is awesome\n", + "Actual Sentiment: positive\n", + "Distilbert Prediction: POSITIVE\n", + "Roberta Prediction: NEUTRAL\n", + "------------\n", + "Example: This restaurant is bad\n", + "Actual Sentiment: negative\n", + "Distilbert Prediction: NEGATIVE\n", + "Roberta Prediction: NEUTRAL\n", + "------------\n", + "Example: I love chocolate\n", + "Actual Sentiment: positive\n", + "Distilbert Prediction: POSITIVE\n", + "Roberta Prediction: NEUTRAL\n", + "------------\n", + "Example: I feel fine\n", + "Actual Sentiment: neutral\n", + "Distilbert Prediction: POSITIVE\n", + "Roberta Prediction: ENTAILMENT\n", + "------------\n" + ] + } + ] + } + ] +} From c01b41f9758392a00fd96965c91edea7b61d98bb Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 3 Oct 2023 15:29:30 -0400 Subject: [PATCH 10/32] Bump urllib3 from 1.26.16 to 1.26.17 in /sdks/python/container/py310 (#28785) Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.16 to 1.26.17. - [Release notes](https://github.com/urllib3/urllib3/releases) - [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst) - [Commits](https://github.com/urllib3/urllib3/compare/1.26.16...1.26.17) --- updated-dependencies: - dependency-name: urllib3 dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- sdks/python/container/py310/base_image_requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdks/python/container/py310/base_image_requirements.txt b/sdks/python/container/py310/base_image_requirements.txt index e8a666e7b9d0..548c56371706 100644 --- a/sdks/python/container/py310/base_image_requirements.txt +++ b/sdks/python/container/py310/base_image_requirements.txt @@ -134,7 +134,7 @@ tqdm==4.66.1 typing_extensions==4.8.0 tzlocal==5.0.1 uritemplate==4.1.1 -urllib3==1.26.16 +urllib3==1.26.17 websocket-client==1.6.3 wrapt==1.15.0 zstandard==0.21.0 From be8053722387c5427f7c9f2c37c451a4bdce77b0 Mon Sep 17 00:00:00 2001 From: Ahmed Abualsaud <65791736+ahmedabu98@users.noreply.github.com> Date: Tue, 3 Oct 2023 16:08:18 -0400 Subject: [PATCH 11/32] BigQuery testing suite that runs against BQ's day 0 region (#28397) * support creating dataset in specified region; * new gradle task * create yaml workflow * add file loads streaming test; add option to query with location * pass bq location to query operation --- ...m_PostCommit_Java_BigQueryEarlyRollout.yml | 97 +++++++++++++++++++ .../io/google-cloud-platform/build.gradle | 44 ++++++++- .../io/gcp/bigquery/TestBigQueryOptions.java | 7 ++ .../common/GcpIoPipelineOptionsRegistrar.java | 2 + .../sdk/io/gcp/testing/BigqueryClient.java | 37 ++++++- .../bigquery/BigQueryIOStorageQueryIT.java | 10 +- .../gcp/bigquery/BigQueryIOStorageReadIT.java | 9 +- .../BigQueryIOStorageReadTableRowIT.java | 43 ++++---- .../bigquery/BigQueryIOStorageWriteIT.java | 31 ++++-- .../BigQuerySchemaUpdateOptionsIT.java | 6 +- .../BigQueryTimePartitioningClusteringIT.java | 42 ++++++-- .../io/gcp/bigquery/BigQueryToTableIT.java | 9 +- .../io/gcp/bigquery/FileLoadsStreamingIT.java | 9 +- .../StorageApiDirectWriteProtosIT.java | 9 +- .../bigquery/StorageApiSinkFailedRowsIT.java | 13 ++- .../bigquery/StorageApiSinkRowUpdateIT.java | 9 +- .../StorageApiSinkSchemaUpdateIT.java | 17 ++-- .../bigquery/TableRowToStorageApiProtoIT.java | 11 ++- 18 files changed, 341 insertions(+), 64 deletions(-) create mode 100644 .github/workflows/beam_PostCommit_Java_BigQueryEarlyRollout.yml diff --git a/.github/workflows/beam_PostCommit_Java_BigQueryEarlyRollout.yml b/.github/workflows/beam_PostCommit_Java_BigQueryEarlyRollout.yml new file mode 100644 index 000000000000..952273e810d2 --- /dev/null +++ b/.github/workflows/beam_PostCommit_Java_BigQueryEarlyRollout.yml @@ -0,0 +1,97 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +name: PostCommit Java BigQueryEarlyRollout + +on: + issue_comment: + types: [created] + schedule: + - cron: '0 */6 * * *' + workflow_dispatch: + +# This allows a subsequently queued workflow run to interrupt previous runs +concurrency: + group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.event.pull_request.head.label || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.body || github.event.sender.login}}' + cancel-in-progress: true + +#Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event +permissions: + actions: write + pull-requests: read + checks: write + contents: read + deployments: read + id-token: none + issues: read + discussions: read + packages: read + pages: read + repository-projects: read + security-events: read + statuses: read + +env: + GRADLE_ENTERPRISE_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }} + GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }} + GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }} + +jobs: + beam_PostCommit_Java_BigQueryEarlyRollout: + name: ${{matrix.job_name}} (${{matrix.job_phrase}}) + runs-on: [self-hosted, ubuntu-20.04, main] + timeout-minutes: 100 + strategy: + matrix: + job_name: [beam_PostCommit_Java_BigQueryEarlyRollout] + job_phrase: [Run Java BigQueryEarlyRollout PostCommit] + if: | + github.event_name == 'workflow_dispatch' || + github.event_name == 'schedule' || + github.event.comment.body == 'Run Java BigQueryEarlyRollout PostCommit' + steps: + - uses: actions/checkout@v4 + - name: Setup repository + uses: ./.github/actions/setup-action + with: + comment_phrase: ${{ matrix.job_phrase }} + github_token: ${{ secrets.GITHUB_TOKEN }} + github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }}) + - name: Authenticate on GCP + uses: google-github-actions/setup-gcloud@v0 + with: + service_account_email: ${{ secrets.GCP_SA_EMAIL }} + service_account_key: ${{ secrets.GCP_SA_KEY }} + project_id: ${{ secrets.GCP_PROJECT_ID }} + export_default_credentials: true + - name: run PostCommit Java BigQueryEarlyRollout script + uses: ./.github/actions/gradle-command-self-hosted-action + with: + gradle-command: :sdks:java:io:google-cloud-platform:bigQueryEarlyRolloutIntegrationTest + - name: Archive JUnit Test Results + uses: actions/upload-artifact@v3 + if: failure() + with: + name: JUnit Test Results + path: "**/build/reports/tests/" + - name: Publish JUnit Test Results + uses: EnricoMi/publish-unit-test-result-action@v2 + if: always() + with: + commit: '${{ env.prsha || env.GITHUB_SHA }}' + comment_mode: ${{ github.event_name == 'issue_comment' && 'always' || 'off' }} + files: '**/build/test-results/**/*.xml' \ No newline at end of file diff --git a/sdks/java/io/google-cloud-platform/build.gradle b/sdks/java/io/google-cloud-platform/build.gradle index 560b27aae162..efc9ff3db9c6 100644 --- a/sdks/java/io/google-cloud-platform/build.gradle +++ b/sdks/java/io/google-cloud-platform/build.gradle @@ -202,10 +202,8 @@ task integrationTest(type: Test, dependsOn: processTestResources) { exclude '**/BigQueryIOReadIT.class' exclude '**/BigQueryIOStorageQueryIT.class' exclude '**/BigQueryIOStorageReadIT.class' - exclude '**/BigQueryIOStorageReadTableRowIT.class' exclude '**/BigQueryIOStorageWriteIT.class' exclude '**/BigQueryToTableIT.class' - exclude '**/BigQueryIOJsonTest.class' maxParallelForks 4 classpath = sourceSets.test.runtimeClasspath @@ -244,6 +242,48 @@ task integrationTestKms(type: Test) { } } +/* + Integration tests for BigQueryIO that run on BigQuery's early rollout region (us-east7) + with the intended purpose of catching breaking changes from new BigQuery releases. + If these tests fail here but not in `Java_GCP_IO_Direct`, there may be a new BigQuery change + that is breaking the connector. If this is the case, we should verify with the appropriate + BigQuery infrastructure API team. + + To test in a BigQuery location, we just need to create our datasets in that location. + */ +task bigQueryEarlyRolloutIntegrationTest(type: Test, dependsOn: processTestResources) { + group = "Verification" + def gcpProject = project.findProperty('gcpProject') ?: 'apache-beam-testing' + def gcpTempRoot = project.findProperty('gcpTempRoot') ?: 'gs://temp-storage-for-bigquery-day0-tests' + systemProperty "beamTestPipelineOptions", JsonOutput.toJson([ + "--runner=DirectRunner", + "--project=${gcpProject}", + "--tempRoot=${gcpTempRoot}", + "--bigQueryLocation=us-east7", + ]) + + outputs.upToDateWhen { false } + + // export and direct read + include '**/BigQueryToTableIT.class' + include '**/BigQueryIOJsonIT.class' + include '**/BigQueryIOStorageReadTableRowIT.class' + // storage write api + include '**/StorageApiDirectWriteProtosIT.class' + include '**/StorageApiSinkFailedRowsIT.class' + include '**/StorageApiSinkRowUpdateIT.class' + include '**/StorageApiSinkSchemaUpdateIT.class' + include '**/TableRowToStorageApiProtoIT.class' + // file loads + include '**/BigQuerySchemaUpdateOptionsIT.class' + include '**/BigQueryTimePartitioningClusteringIT.class' + include '**/FileLoadsStreamingIT.class' + + maxParallelForks 4 + classpath = sourceSets.test.runtimeClasspath + testClassesDirs = sourceSets.test.output.classesDirs +} + // path(s) for Cloud Spanner related classes def spannerIncludes = [ '**/org/apache/beam/sdk/io/gcp/spanner/**', diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/TestBigQueryOptions.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/TestBigQueryOptions.java index 3574c12ee3a9..4d8095c1879d 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/TestBigQueryOptions.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/TestBigQueryOptions.java @@ -24,10 +24,17 @@ /** {@link TestPipelineOptions} for {@link TestBigQuery}. */ public interface TestBigQueryOptions extends TestPipelineOptions, BigQueryOptions, GcpOptions { + String BIGQUERY_EARLY_ROLLOUT_REGION = "us-east7"; @Description("Dataset used in the integration tests. Default is integ_test") @Default.String("integ_test") String getTargetDataset(); void setTargetDataset(String value); + + @Description("Region to perform BigQuery operations in.") + @Default.String("") + String getBigQueryLocation(); + + void setBigQueryLocation(String location); } diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/common/GcpIoPipelineOptionsRegistrar.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/common/GcpIoPipelineOptionsRegistrar.java index 1ed9ed6cb6c3..f1ff827fc633 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/common/GcpIoPipelineOptionsRegistrar.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/common/GcpIoPipelineOptionsRegistrar.java @@ -20,6 +20,7 @@ import com.google.auto.service.AutoService; import org.apache.beam.sdk.annotations.Internal; import org.apache.beam.sdk.io.gcp.bigquery.BigQueryOptions; +import org.apache.beam.sdk.io.gcp.bigquery.TestBigQueryOptions; import org.apache.beam.sdk.io.gcp.firestore.FirestoreOptions; import org.apache.beam.sdk.io.gcp.pubsub.PubsubOptions; import org.apache.beam.sdk.options.PipelineOptions; @@ -36,6 +37,7 @@ public Iterable> getPipelineOptions() { .add(BigQueryOptions.class) .add(PubsubOptions.class) .add(FirestoreOptions.class) + .add(TestBigQueryOptions.class) .build(); } } diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/testing/BigqueryClient.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/testing/BigqueryClient.java index b21fdd669596..0e9476e6a226 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/testing/BigqueryClient.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/testing/BigqueryClient.java @@ -292,6 +292,21 @@ private QueryResponse getTypedTableRows(QueryResponse response) { public List queryUnflattened( String query, String projectId, boolean typed, boolean useStandardSql) throws IOException, InterruptedException { + return queryUnflattened(query, projectId, typed, useStandardSql, null); + } + + /** + * Performs a query without flattening results. May choose a location (GCP region) to perform this + * operation in. + */ + @Nonnull + public List queryUnflattened( + String query, + String projectId, + boolean typed, + boolean useStandardSql, + @Nullable String location) + throws IOException, InterruptedException { Random rnd = new Random(System.currentTimeMillis()); String temporaryDatasetId = String.format("_dataflow_temporary_dataset_%s_%s", System.nanoTime(), rnd.nextInt(1000000)); @@ -302,9 +317,11 @@ public List queryUnflattened( .setDatasetId(temporaryDatasetId) .setTableId(temporaryTableId); - createNewDataset(projectId, temporaryDatasetId); + createNewDataset(projectId, temporaryDatasetId, null, location); createNewTable( - projectId, temporaryDatasetId, new Table().setTableReference(tempTableReference)); + projectId, + temporaryDatasetId, + new Table().setTableReference(tempTableReference).setLocation(location)); JobConfigurationQuery jcQuery = new JobConfigurationQuery() @@ -325,6 +342,7 @@ public List queryUnflattened( bqClient .jobs() .getQueryResults(projectId, insertedJob.getJobReference().getJobId()) + .setLocation(location) .execute(); } while (!qResponse.getJobComplete()); @@ -395,6 +413,18 @@ public void createNewDataset(String projectId, String datasetId) public void createNewDataset( String projectId, String datasetId, @Nullable Long defaultTableExpirationMs) throws IOException, InterruptedException { + createNewDataset(projectId, datasetId, defaultTableExpirationMs, null); + } + + /** + * Creates a new dataset with defaultTableExpirationMs and in a specified location (GCP region). + */ + public void createNewDataset( + String projectId, + String datasetId, + @Nullable Long defaultTableExpirationMs, + @Nullable String location) + throws IOException, InterruptedException { Sleeper sleeper = Sleeper.DEFAULT; BackOff backoff = BackOffAdapter.toGcpBackOff(BACKOFF_FACTORY.backoff()); IOException lastException = null; @@ -410,7 +440,8 @@ public void createNewDataset( projectId, new Dataset() .setDatasetReference(new DatasetReference().setDatasetId(datasetId)) - .setDefaultTableExpirationMs(defaultTableExpirationMs)) + .setDefaultTableExpirationMs(defaultTableExpirationMs) + .setLocation(location)) .execute(); if (response != null) { LOG.info("Successfully created new dataset : " + response.getId()); diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageQueryIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageQueryIT.java index 692a12c0f4a7..d355d6bb9336 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageQueryIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageQueryIT.java @@ -17,6 +17,8 @@ */ package org.apache.beam.sdk.io.gcp.bigquery; +import static org.apache.beam.sdk.io.gcp.bigquery.TestBigQueryOptions.BIGQUERY_EARLY_ROLLOUT_REGION; + import java.util.Map; import org.apache.beam.sdk.Pipeline; import org.apache.beam.sdk.extensions.gcp.options.GcpOptions; @@ -52,7 +54,13 @@ public class BigQueryIOStorageQueryIT { "1G", 11110839L, "1T", 11110839000L); - private static final String DATASET_ID = "big_query_storage"; + private static final String DATASET_ID = + TestPipeline.testingPipelineOptions() + .as(TestBigQueryOptions.class) + .getBigQueryLocation() + .equals(BIGQUERY_EARLY_ROLLOUT_REGION) + ? "big_query_storage_day0" + : "big_query_storage"; private static final String TABLE_PREFIX = "storage_read_"; private BigQueryIOStorageQueryOptions options; diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageReadIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageReadIT.java index 570938470b9d..b4f6ddb76f72 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageReadIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageReadIT.java @@ -17,6 +17,7 @@ */ package org.apache.beam.sdk.io.gcp.bigquery; +import static org.apache.beam.sdk.io.gcp.bigquery.TestBigQueryOptions.BIGQUERY_EARLY_ROLLOUT_REGION; import static org.junit.Assert.assertEquals; import com.google.cloud.bigquery.storage.v1.DataFormat; @@ -65,7 +66,13 @@ public class BigQueryIOStorageReadIT { "1T", 11110839000L, "multi_field", 11110839L); - private static final String DATASET_ID = "big_query_storage"; + private static final String DATASET_ID = + TestPipeline.testingPipelineOptions() + .as(TestBigQueryOptions.class) + .getBigQueryLocation() + .equals(BIGQUERY_EARLY_ROLLOUT_REGION) + ? "big_query_storage_day0" + : "big_query_storage"; private static final String TABLE_PREFIX = "storage_read_"; private BigQueryIOStorageReadOptions options; diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageReadTableRowIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageReadTableRowIT.java index 734c3af2c4d4..35e2676c70ef 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageReadTableRowIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageReadTableRowIT.java @@ -17,6 +17,8 @@ */ package org.apache.beam.sdk.io.gcp.bigquery; +import static org.apache.beam.sdk.io.gcp.bigquery.TestBigQueryOptions.BIGQUERY_EARLY_ROLLOUT_REGION; + import com.google.api.services.bigquery.model.TableRow; import java.util.HashSet; import java.util.Set; @@ -52,7 +54,13 @@ @RunWith(JUnit4.class) public class BigQueryIOStorageReadTableRowIT { - private static final String DATASET_ID = "big_query_import_export"; + private static final String DATASET_ID = + TestPipeline.testingPipelineOptions() + .as(TestBigQueryOptions.class) + .getBigQueryLocation() + .equals(BIGQUERY_EARLY_ROLLOUT_REGION) + ? "big_query_import_export_day0" + : "big_query_import_export"; private static final String TABLE_PREFIX = "parallel_read_table_row_"; private BigQueryIOStorageReadTableRowOptions options; @@ -67,12 +75,11 @@ public interface BigQueryIOStorageReadTableRowOptions void setInputTable(String table); } - private static class TableRowToKVPairFn extends SimpleFunction> { + private static class TableRowToKVPairFn extends SimpleFunction> { @Override - public KV apply(TableRow input) { - CharSequence sampleString = (CharSequence) input.get("sample_string"); - String key = sampleString != null ? sampleString.toString() : "null"; - return KV.of(key, BigQueryHelpers.toJsonString(input)); + public KV apply(TableRow input) { + Integer rowId = Integer.parseInt((String) input.get("id")); + return KV.of(rowId, BigQueryHelpers.toJsonString(input)); } } @@ -87,7 +94,7 @@ private void setUpTestEnvironment(String tableName) { private static void runPipeline(BigQueryIOStorageReadTableRowOptions pipelineOptions) { Pipeline pipeline = Pipeline.create(pipelineOptions); - PCollection> jsonTableRowsFromExport = + PCollection> jsonTableRowsFromExport = pipeline .apply( "ExportTable", @@ -96,7 +103,7 @@ private static void runPipeline(BigQueryIOStorageReadTableRowOptions pipelineOpt .withMethod(Method.EXPORT)) .apply("MapExportedRows", MapElements.via(new TableRowToKVPairFn())); - PCollection> jsonTableRowsFromDirectRead = + PCollection> jsonTableRowsFromDirectRead = pipeline .apply( "DirectReadTable", @@ -108,16 +115,16 @@ private static void runPipeline(BigQueryIOStorageReadTableRowOptions pipelineOpt final TupleTag exportTag = new TupleTag<>(); final TupleTag directReadTag = new TupleTag<>(); - PCollection>> unmatchedRows = + PCollection>> unmatchedRows = KeyedPCollectionTuple.of(exportTag, jsonTableRowsFromExport) .and(directReadTag, jsonTableRowsFromDirectRead) .apply(CoGroupByKey.create()) .apply( ParDo.of( - new DoFn, KV>>() { + new DoFn, KV>>() { @ProcessElement - public void processElement(ProcessContext c) throws Exception { - KV element = c.element(); + public void processElement(ProcessContext c) { + KV element = c.element(); // Add all the exported rows for the key to a collection. Set uniqueRows = new HashSet<>(); @@ -147,20 +154,20 @@ public void processElement(ProcessContext c) throws Exception { } @Test - public void testBigQueryStorageReadTableRow1() throws Exception { - setUpTestEnvironment("1"); + public void testBigQueryStorageReadTableRow100() { + setUpTestEnvironment("100"); runPipeline(options); } @Test - public void testBigQueryStorageReadTableRow10k() throws Exception { - setUpTestEnvironment("10k"); + public void testBigQueryStorageReadTableRow1k() { + setUpTestEnvironment("1K"); runPipeline(options); } @Test - public void testBigQueryStorageReadTableRow100k() throws Exception { - setUpTestEnvironment("100k"); + public void testBigQueryStorageReadTableRow10k() { + setUpTestEnvironment("10K"); runPipeline(options); } } diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageWriteIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageWriteIT.java index fc3ce0be4b69..d061898d55c7 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageWriteIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOStorageWriteIT.java @@ -26,11 +26,11 @@ import com.google.api.services.bigquery.model.TableRow; import com.google.api.services.bigquery.model.TableSchema; import java.io.IOException; +import java.security.SecureRandom; import org.apache.beam.sdk.Pipeline; import org.apache.beam.sdk.extensions.gcp.options.GcpOptions; import org.apache.beam.sdk.io.GenerateSequence; import org.apache.beam.sdk.io.gcp.testing.BigqueryClient; -import org.apache.beam.sdk.options.PipelineOptionsFactory; import org.apache.beam.sdk.testing.TestPipeline; import org.apache.beam.sdk.transforms.DoFn; import org.apache.beam.sdk.transforms.MapElements; @@ -43,6 +43,8 @@ import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableList; import org.joda.time.Duration; import org.joda.time.Instant; +import org.junit.AfterClass; +import org.junit.BeforeClass; import org.junit.Test; import org.junit.runner.RunWith; import org.junit.runners.JUnit4; @@ -60,24 +62,37 @@ private enum WriteMode { AT_LEAST_ONCE } - private String project; - private static final String DATASET_ID = "big_query_storage"; + private static String project; + private static final String DATASET_ID = + "big_query_storage_write_it_" + + System.currentTimeMillis() + + "_" + + new SecureRandom().nextInt(32); private static final String TABLE_PREFIX = "storage_write_"; - private BigQueryOptions bqOptions; + private static TestBigQueryOptions bqOptions; private static final BigqueryClient BQ_CLIENT = new BigqueryClient("BigQueryStorageIOWriteIT"); + @BeforeClass + public static void setup() throws Exception { + bqOptions = TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class); + project = bqOptions.as(GcpOptions.class).getProject(); + // Create one BQ dataset for all test cases. + BQ_CLIENT.createNewDataset(project, DATASET_ID, null, bqOptions.getBigQueryLocation()); + } + + @AfterClass + public static void cleanup() { + BQ_CLIENT.deleteDataset(project, DATASET_ID); + } + private void setUpTestEnvironment(WriteMode writeMode) { - PipelineOptionsFactory.register(BigQueryOptions.class); - bqOptions = TestPipeline.testingPipelineOptions().as(BigQueryOptions.class); - bqOptions.setProject(TestPipeline.testingPipelineOptions().as(GcpOptions.class).getProject()); bqOptions.setUseStorageWriteApi(true); if (writeMode == WriteMode.AT_LEAST_ONCE) { bqOptions.setUseStorageWriteApiAtLeastOnce(true); } bqOptions.setNumStorageWriteApiStreams(2); bqOptions.setStorageWriteApiTriggeringFrequencySec(1); - project = TestPipeline.testingPipelineOptions().as(GcpOptions.class).getProject(); } static class FillRowFn extends DoFn { diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQuerySchemaUpdateOptionsIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQuerySchemaUpdateOptionsIT.java index 611c691dca12..833a0a0829c7 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQuerySchemaUpdateOptionsIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQuerySchemaUpdateOptionsIT.java @@ -87,7 +87,11 @@ public class BigQuerySchemaUpdateOptionsIT { @BeforeClass public static void setupTestEnvironment() throws Exception { project = TestPipeline.testingPipelineOptions().as(GcpOptions.class).getProject(); - BQ_CLIENT.createNewDataset(project, BIG_QUERY_DATASET_ID); + BQ_CLIENT.createNewDataset( + project, + BIG_QUERY_DATASET_ID, + null, + TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class).getBigQueryLocation()); } @AfterClass diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryTimePartitioningClusteringIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryTimePartitioningClusteringIT.java index 3ceb6f0966b7..da5f396e8d89 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryTimePartitioningClusteringIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryTimePartitioningClusteringIT.java @@ -24,9 +24,11 @@ import com.google.api.services.bigquery.model.TableRow; import com.google.api.services.bigquery.model.TableSchema; import com.google.api.services.bigquery.model.TimePartitioning; +import java.security.SecureRandom; import java.util.Arrays; import org.apache.beam.sdk.Pipeline; import org.apache.beam.sdk.coders.Coder; +import org.apache.beam.sdk.extensions.gcp.options.GcpOptions; import org.apache.beam.sdk.io.gcp.testing.BigqueryClient; import org.apache.beam.sdk.options.Default; import org.apache.beam.sdk.options.Description; @@ -38,8 +40,10 @@ import org.apache.beam.sdk.transforms.ParDo; import org.apache.beam.sdk.values.ValueInSingleWindow; import org.checkerframework.checker.nullness.qual.Nullable; +import org.junit.AfterClass; import org.junit.Assert; import org.junit.Before; +import org.junit.BeforeClass; import org.junit.Test; import org.junit.runner.RunWith; import org.junit.runners.JUnit4; @@ -49,7 +53,15 @@ public class BigQueryTimePartitioningClusteringIT { private static final String WEATHER_SAMPLES_TABLE = "apache-beam-testing.samples.weather_stations"; - private static final String DATASET_NAME = "BigQueryTimePartitioningIT"; + + private static String project; + private static final BigqueryClient BQ_CLIENT = + new BigqueryClient("BigQueryTimePartitioningClusteringIT"); + private static final String DATASET_NAME = + "BigQueryTimePartitioningIT_" + + System.currentTimeMillis() + + "_" + + new SecureRandom().nextInt(32); private static final TimePartitioning TIME_PARTITIONING = new TimePartitioning().setField("date").setType("DAY"); private static final Clustering CLUSTERING = @@ -64,6 +76,16 @@ public class BigQueryTimePartitioningClusteringIT { private Bigquery bqClient; private BigQueryClusteringITOptions options; + @BeforeClass + public static void setupTestEnvironment() throws Exception { + project = TestPipeline.testingPipelineOptions().as(GcpOptions.class).getProject(); + BQ_CLIENT.createNewDataset( + project, + DATASET_NAME, + null, + TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class).getBigQueryLocation()); + } + @Before public void setUp() { PipelineOptionsFactory.register(BigQueryClusteringITOptions.class); @@ -72,6 +94,11 @@ public void setUp() { bqClient = BigqueryClient.getNewBigqueryClient(options.getAppName()); } + @AfterClass + public static void cleanup() { + BQ_CLIENT.deleteDataset(project, DATASET_NAME); + } + /** Customized PipelineOptions for BigQueryClustering Integration Test. */ public interface BigQueryClusteringITOptions extends TestPipelineOptions, ExperimentalOptions, BigQueryOptions { @@ -110,8 +137,7 @@ public ClusteredDestinations(String tableName) { @Override public TableDestination getDestination(ValueInSingleWindow element) { - return new TableDestination( - String.format("%s.%s", DATASET_NAME, tableName), null, TIME_PARTITIONING, CLUSTERING); + return new TableDestination(tableName, null, TIME_PARTITIONING, CLUSTERING); } @Override @@ -176,6 +202,7 @@ public void testE2EBigQueryClustering() throws Exception { @Test public void testE2EBigQueryClusteringTableFunction() throws Exception { String tableName = "weather_stations_clustered_table_function_" + System.currentTimeMillis(); + String destination = String.format("%s.%s", DATASET_NAME, tableName); Pipeline p = Pipeline.create(options); @@ -185,11 +212,7 @@ public void testE2EBigQueryClusteringTableFunction() throws Exception { BigQueryIO.writeTableRows() .to( (ValueInSingleWindow vsw) -> - new TableDestination( - String.format("%s.%s", DATASET_NAME, tableName), - null, - TIME_PARTITIONING, - CLUSTERING)) + new TableDestination(destination, null, TIME_PARTITIONING, CLUSTERING)) .withClustering() .withSchema(SCHEMA) .withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED) @@ -206,6 +229,7 @@ public void testE2EBigQueryClusteringTableFunction() throws Exception { public void testE2EBigQueryClusteringDynamicDestinations() throws Exception { String tableName = "weather_stations_clustered_dynamic_destinations_" + System.currentTimeMillis(); + String destination = String.format("%s.%s", DATASET_NAME, tableName); Pipeline p = Pipeline.create(options); @@ -213,7 +237,7 @@ public void testE2EBigQueryClusteringDynamicDestinations() throws Exception { .apply(ParDo.of(new KeepStationNumberAndConvertDate())) .apply( BigQueryIO.writeTableRows() - .to(new ClusteredDestinations(tableName)) + .to(new ClusteredDestinations(destination)) .withClustering() .withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED) .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_TRUNCATE)); diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryToTableIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryToTableIT.java index d6b7f8e16412..1abe7752b2e0 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryToTableIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryToTableIT.java @@ -46,7 +46,6 @@ import org.apache.beam.sdk.options.PipelineOptionsFactory; import org.apache.beam.sdk.options.Validation; import org.apache.beam.sdk.testing.TestPipeline; -import org.apache.beam.sdk.testing.TestPipelineOptions; import org.apache.beam.sdk.transforms.Reshuffle; import org.apache.beam.sdk.transforms.Values; import org.apache.beam.sdk.transforms.WithKeys; @@ -214,7 +213,7 @@ private void verifyStandardQueryRes(String outputTable) throws Exception { } /** Customized PipelineOption for BigQueryToTable Pipeline. */ - public interface BigQueryToTableOptions extends TestPipelineOptions, ExperimentalOptions { + public interface BigQueryToTableOptions extends TestBigQueryOptions, ExperimentalOptions { @Description("The BigQuery query to be used for creating the source") @Validation.Required @@ -252,9 +251,11 @@ public interface BigQueryToTableOptions extends TestPipelineOptions, Experimenta @BeforeClass public static void setupTestEnvironment() throws Exception { PipelineOptionsFactory.register(BigQueryToTableOptions.class); - project = TestPipeline.testingPipelineOptions().as(GcpOptions.class).getProject(); + BigQueryToTableOptions options = + TestPipeline.testingPipelineOptions().as(BigQueryToTableOptions.class); + project = options.as(GcpOptions.class).getProject(); // Create one BQ dataset for all test cases. - BQ_CLIENT.createNewDataset(project, BIG_QUERY_DATASET_ID); + BQ_CLIENT.createNewDataset(project, BIG_QUERY_DATASET_ID, null, options.getBigQueryLocation()); // Create table and insert data for new type query test cases. BQ_CLIENT.createNewTable( diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/FileLoadsStreamingIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/FileLoadsStreamingIT.java index 012afed6fb43..678708062b8d 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/FileLoadsStreamingIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/FileLoadsStreamingIT.java @@ -106,11 +106,16 @@ public static Iterable data() { private final Random randomGenerator = new Random(); + // used when test suite specifies a particular GCP location for BigQuery operations + private static String bigQueryLocation; + @BeforeClass public static void setUpTestEnvironment() throws IOException, InterruptedException { // Create one BQ dataset for all test cases. cleanUp(); - BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID); + bigQueryLocation = + TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class).getBigQueryLocation(); + BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID, null, bigQueryLocation); } @AfterClass @@ -293,7 +298,7 @@ private static void checkRowCompleteness( throws IOException, InterruptedException { List actualTableRows = BQ_CLIENT.queryUnflattened( - String.format("SELECT * FROM [%s]", tableSpec), PROJECT, true, false); + String.format("SELECT * FROM [%s]", tableSpec), PROJECT, true, false, bigQueryLocation); Schema rowSchema = BigQueryUtils.fromTableSchema(schema); List actualBeamRows = diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiDirectWriteProtosIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiDirectWriteProtosIT.java index 93bc4162409f..3da93c42a480 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiDirectWriteProtosIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiDirectWriteProtosIT.java @@ -80,10 +80,15 @@ private BigQueryIO.Write.Method getMethod() { : BigQueryIO.Write.Method.STORAGE_WRITE_API; } + // used when test suite specifies a particular GCP location for BigQuery operations + private static String bigQueryLocation; + @BeforeClass public static void setUpTestEnvironment() throws IOException, InterruptedException { // Create one BQ dataset for all test cases. - BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID); + bigQueryLocation = + TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class).getBigQueryLocation(); + BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID, null, bigQueryLocation); } @AfterClass @@ -191,7 +196,7 @@ public void testDirectWriteProtos() throws Exception { void assertRowsWritten(String tableSpec, Iterable expectedItems) throws Exception { List rows = BQ_CLIENT.queryUnflattened( - String.format("SELECT * FROM %s", tableSpec), PROJECT, true, true); + String.format("SELECT * FROM %s", tableSpec), PROJECT, true, true, bigQueryLocation); assertThat(rows, containsInAnyOrder(Iterables.toArray(expectedItems, TableRow.class))); } } diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkFailedRowsIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkFailedRowsIT.java index 3dcde8f39cd7..f721f57147e3 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkFailedRowsIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkFailedRowsIT.java @@ -108,10 +108,15 @@ private BigQueryIO.Write.Method getMethod() { : BigQueryIO.Write.Method.STORAGE_WRITE_API; } + // used when test suite specifies a particular GCP location for BigQuery operations + private static String bigQueryLocation; + @BeforeClass public static void setUpTestEnvironment() throws IOException, InterruptedException { // Create one BQ dataset for all test cases. - BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID); + bigQueryLocation = + TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class).getBigQueryLocation(); + BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID, null, bigQueryLocation); } @AfterClass @@ -217,7 +222,11 @@ private void assertGoodRowsWritten(String tableSpec, Iterable goodRows TableRow queryResponse = Iterables.getOnlyElement( BQ_CLIENT.queryUnflattened( - String.format("SELECT COUNT(*) FROM %s", tableSpec), PROJECT, true, true)); + String.format("SELECT COUNT(*) FROM `%s`", tableSpec), + PROJECT, + true, + true, + bigQueryLocation)); int numRowsWritten = Integer.parseInt((String) queryResponse.get("f0_")); if (useAtLeastOnce) { assertThat(numRowsWritten, Matchers.greaterThanOrEqualTo(Iterables.size(goodRows))); diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkRowUpdateIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkRowUpdateIT.java index d5366fe29613..f8cc797a87cd 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkRowUpdateIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkRowUpdateIT.java @@ -49,10 +49,15 @@ public class StorageApiSinkRowUpdateIT { private static final String BIG_QUERY_DATASET_ID = "storage_api_sink_rows_update" + System.nanoTime(); + // used when test suite specifies a particular GCP location for BigQuery operations + private static String bigQueryLocation; + @BeforeClass public static void setUpTestEnvironment() throws IOException, InterruptedException { // Create one BQ dataset for all test cases. - BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID); + bigQueryLocation = + TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class).getBigQueryLocation(); + BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID, null, bigQueryLocation); } @AfterClass @@ -129,7 +134,7 @@ private void assertRowsWritten(String tableSpec, Iterable expected) throws IOException, InterruptedException { List queryResponse = BQ_CLIENT.queryUnflattened( - String.format("SELECT * FROM %s", tableSpec), PROJECT, true, true); + String.format("SELECT * FROM %s", tableSpec), PROJECT, true, true, bigQueryLocation); assertThat(queryResponse, containsInAnyOrder(Iterables.toArray(expected, TableRow.class))); } } diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkSchemaUpdateIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkSchemaUpdateIT.java index 6931b7ac9b98..bc99a4f50f70 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkSchemaUpdateIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/StorageApiSinkSchemaUpdateIT.java @@ -121,17 +121,21 @@ public static Iterable data() { // an updated schema. If that happens consistently, just increase these two numbers // to give it more time. // Total number of rows written to the sink - private static final int TOTAL_N = 60; + private static final int TOTAL_N = 70; // Number of rows with the original schema - private static final int ORIGINAL_N = 50; + private static final int ORIGINAL_N = 60; private final Random randomGenerator = new Random(); + // used when test suite specifies a particular GCP location for BigQuery operations + private static String bigQueryLocation; + @BeforeClass public static void setUpTestEnvironment() throws IOException, InterruptedException { // Create one BQ dataset for all test cases. - LOG.info("Creating dataset {}.", BIG_QUERY_DATASET_ID); - BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID); + bigQueryLocation = + TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class).getBigQueryLocation(); + BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID, null, bigQueryLocation); } @AfterClass @@ -459,7 +463,8 @@ private static void checkRowCompleteness( String.format("SELECT COUNT(DISTINCT(id)), COUNT(id) FROM [%s]", tableSpec), PROJECT, true, - false)); + false, + bigQueryLocation)); int distinctCount = Integer.parseInt((String) queryResponse.get("f0_")); int totalCount = Integer.parseInt((String) queryResponse.get("f1_")); @@ -479,7 +484,7 @@ public void checkRowsWithUpdatedSchema( throws IOException, InterruptedException { List actualRows = BQ_CLIENT.queryUnflattened( - String.format("SELECT * FROM [%s]", tableSpec), PROJECT, true, false); + String.format("SELECT * FROM [%s]", tableSpec), PROJECT, true, false, bigQueryLocation); for (TableRow row : actualRows) { // Rows written to the table should not have the extra field if diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/TableRowToStorageApiProtoIT.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/TableRowToStorageApiProtoIT.java index 218aa7411414..f28ae588a5ec 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/TableRowToStorageApiProtoIT.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/TableRowToStorageApiProtoIT.java @@ -318,10 +318,15 @@ public class TableRowToStorageApiProtoIT { .setFields(BASE_TABLE_SCHEMA.getFields())) .build()); + // used when test suite specifies a particular GCP location for BigQuery operations + private static String bigQueryLocation; + @BeforeClass public static void setUpTestEnvironment() throws IOException, InterruptedException { // Create one BQ dataset for all test cases. - BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID); + bigQueryLocation = + TestPipeline.testingPipelineOptions().as(TestBigQueryOptions.class).getBigQueryLocation(); + BQ_CLIENT.createNewDataset(PROJECT, BIG_QUERY_DATASET_ID, null, bigQueryLocation); } @AfterClass @@ -338,7 +343,7 @@ public void testBaseTableRow() throws IOException, InterruptedException { List actualTableRows = BQ_CLIENT.queryUnflattened( - String.format("SELECT * FROM %s", tableSpec), PROJECT, true, true); + String.format("SELECT * FROM %s", tableSpec), PROJECT, true, true, bigQueryLocation); assertEquals(1, actualTableRows.size()); assertEquals(BASE_TABLE_ROW_EXPECTED, actualTableRows.get(0)); @@ -364,7 +369,7 @@ public void testNestedRichTypesAndNull() throws IOException, InterruptedExceptio List actualTableRows = BQ_CLIENT.queryUnflattened( - String.format("SELECT * FROM %s", tableSpec), PROJECT, true, true); + String.format("SELECT * FROM %s", tableSpec), PROJECT, true, true, bigQueryLocation); assertEquals(1, actualTableRows.size()); assertEquals(BASE_TABLE_ROW_EXPECTED, actualTableRows.get(0).get("nestedValue1")); From f6b43ce1736250c044ad90305351662bb95533a7 Mon Sep 17 00:00:00 2001 From: Yi Hu Date: Tue, 3 Oct 2023 18:57:58 -0400 Subject: [PATCH 12/32] Revert "assign highmem runner to beam_PostCommit_Python and to beam_PreCommit_Java_GCP_IO_Direct (#28719)" (#28804) This reverts commit a4ee8548424b335cb3ffdf6aeda899fd1e3ba8ad. --- .github/workflows/beam_PostCommit_Python.yml | 2 +- .github/workflows/beam_PreCommit_Java_GCP_IO_Direct.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/beam_PostCommit_Python.yml b/.github/workflows/beam_PostCommit_Python.yml index a7a214c7c5a9..6f4bc5e2ef0b 100644 --- a/.github/workflows/beam_PostCommit_Python.yml +++ b/.github/workflows/beam_PostCommit_Python.yml @@ -53,7 +53,7 @@ env: jobs: beam_PostCommit_Python: name: ${{matrix.job_name}} (${{matrix.job_phrase}} ${{matrix.python_version}}) - runs-on: [self-hosted, ubuntu-20.04, highmem] + runs-on: [self-hosted, ubuntu-20.04, main] timeout-minutes: 240 strategy: fail-fast: false diff --git a/.github/workflows/beam_PreCommit_Java_GCP_IO_Direct.yml b/.github/workflows/beam_PreCommit_Java_GCP_IO_Direct.yml index 7c821a024742..30e8d6d6c33c 100644 --- a/.github/workflows/beam_PreCommit_Java_GCP_IO_Direct.yml +++ b/.github/workflows/beam_PreCommit_Java_GCP_IO_Direct.yml @@ -90,7 +90,7 @@ jobs: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch' || github.event.comment.body == 'Run Java_GCP_IO_Direct PreCommit' - runs-on: [self-hosted, ubuntu-20.04, highmem] + runs-on: [self-hosted, ubuntu-20.04, main] steps: - uses: actions/checkout@v4 - name: Setup repository From 95af465f0dfaa123364e5880bccc3dff32a19b39 Mon Sep 17 00:00:00 2001 From: brucearctor <5032356+brucearctor@users.noreply.github.com> Date: Wed, 4 Oct 2023 05:30:15 -0700 Subject: [PATCH 13/32] yaml label (#28813) --- .github/autolabeler.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/autolabeler.yml b/.github/autolabeler.yml index 5a8a22044da4..d1cc8296d303 100644 --- a/.github/autolabeler.yml +++ b/.github/autolabeler.yml @@ -31,6 +31,7 @@ python: ["sdks/python/**/*", "learning/katas/python/**/*"] typescript: ["sdks/typescript/**/*"] vendor: ["vendor/**/*"] website: ["website/**/*"] +yaml: ["sdks/python/apache_beam/yaml/**"] # Extensions extensions: ["sdks/java/extensions/**/*", "runners/extensions-java/**/*"] From a9684c5563dc9b5779cbe874d1fead05de2cf36c Mon Sep 17 00:00:00 2001 From: Alexey Romanenko Date: Wed, 4 Oct 2023 14:58:16 +0200 Subject: [PATCH 14/32] TPC-DS: Fix CSV format --- .../java/org/apache/beam/sdk/tpcds/SqlTransformRunner.java | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sdks/java/testing/tpcds/src/main/java/org/apache/beam/sdk/tpcds/SqlTransformRunner.java b/sdks/java/testing/tpcds/src/main/java/org/apache/beam/sdk/tpcds/SqlTransformRunner.java index e8b85f63b36a..6570b7fe81b2 100644 --- a/sdks/java/testing/tpcds/src/main/java/org/apache/beam/sdk/tpcds/SqlTransformRunner.java +++ b/sdks/java/testing/tpcds/src/main/java/org/apache/beam/sdk/tpcds/SqlTransformRunner.java @@ -283,7 +283,8 @@ public static void runUsingSqlTransform(String[] args) throws Exception { // Make an array of pipelines, each pipeline is responsible for running a corresponding query. Pipeline[] pipelines = new Pipeline[queryNames.length]; - CSVFormat csvFormat = CSVFormat.MYSQL.withDelimiter('|').withNullString(""); + CSVFormat csvFormat = + CSVFormat.MYSQL.withDelimiter('|').withTrailingDelimiter().withNullString(""); // Execute all queries, transform each result into a PCollection, write them into // the txt file and store in a GCP directory. From 9efdf6be61e46d97b51161ea934706a6a18e9118 Mon Sep 17 00:00:00 2001 From: nancyxu123 Date: Wed, 4 Oct 2023 08:50:59 -0700 Subject: [PATCH 15/32] Fix SpannerChangeStreamErrorTest.java and stop disabling tests (#28751) * Fix SpannerChangeStreamErrorTest.java and stop disabling tests * More fixes to existing error tests * Formatting changes * Make the errors a flexible retry --- .../SpannerChangeStreamErrorTest.java | 181 +++++++++++++----- 1 file changed, 138 insertions(+), 43 deletions(-) diff --git a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/spanner/changestreams/SpannerChangeStreamErrorTest.java b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/spanner/changestreams/SpannerChangeStreamErrorTest.java index bf2ccd454bb5..9ffa61c93078 100644 --- a/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/spanner/changestreams/SpannerChangeStreamErrorTest.java +++ b/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/spanner/changestreams/SpannerChangeStreamErrorTest.java @@ -52,7 +52,9 @@ import com.google.spanner.v1.TypeCode; import io.grpc.Status; import java.io.Serializable; +import java.util.ArrayList; import java.util.Collections; +import java.util.List; import org.apache.beam.runners.direct.DirectOptions; import org.apache.beam.runners.direct.DirectRunner; import org.apache.beam.sdk.Pipeline; @@ -68,7 +70,6 @@ import org.joda.time.Duration; import org.junit.After; import org.junit.Before; -import org.junit.Ignore; import org.junit.Rule; import org.junit.Test; import org.junit.rules.ExpectedException; @@ -114,16 +115,22 @@ public void tearDown() throws NoSuchFieldException, IllegalAccessException { } @Test - @Ignore("BEAM-12164 Reenable this test when databaseClient.getDialect returns the right message.") - public void testResourceExhaustedDoesNotRetry() { + // Error code UNAVAILABLE is retried repeatedly until the RPC times out. + public void testUnavailableExceptionRetries() throws InterruptedException { + DirectOptions options = PipelineOptionsFactory.as(DirectOptions.class); + options.setBlockOnRun(false); + options.setRunner(DirectRunner.class); + Pipeline nonBlockingPipeline = TestPipeline.create(options); + mockSpannerService.setExecuteStreamingSqlExecutionTime( - SimulatedExecutionTime.ofStickyException(Status.RESOURCE_EXHAUSTED.asRuntimeException())); + SimulatedExecutionTime.ofStickyException(Status.UNAVAILABLE.asRuntimeException())); final Timestamp startTimestamp = Timestamp.ofTimeSecondsAndNanos(0, 1000); final Timestamp endTimestamp = Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos() + 1); + try { - pipeline.apply( + nonBlockingPipeline.apply( SpannerIO.readChangeStream() .withSpannerConfig(getSpannerConfig()) .withChangeStreamName(TEST_CHANGE_STREAM) @@ -131,33 +138,36 @@ public void testResourceExhaustedDoesNotRetry() { .withMetadataTable(TEST_TABLE) .withInclusiveStartAt(startTimestamp) .withInclusiveEndAt(endTimestamp)); - pipeline.run().waitUntilFinish(); + PipelineResult result = nonBlockingPipeline.run(); + while (result.getState() != RUNNING) { + Thread.sleep(50); + } + // The pipeline continues making requests to Spanner to retry the Unavailable errors. + assertNull(result.waitUntilFinish(Duration.millis(500))); } finally { - thrown.expect(SpannerException.class); // databaseClient.getDialect does not currently bubble up the correct message. // Instead, the error returned is: "DEADLINE_EXCEEDED: Operation did not complete " // "in the given time" - thrown.expectMessage("RESOURCE_EXHAUSTED - Statement: 'SELECT 'POSTGRESQL' AS DIALECT"); + thrown.expectMessage("DEADLINE_EXCEEDED"); assertThat( mockSpannerService.countRequestsOfType(ExecuteSqlRequest.class), Matchers.equalTo(0)); } } @Test - @Ignore("BEAM-12164 Reenable this test when databaseClient.getDialect returns the right message.") - public void testUnavailableExceptionRetries() throws InterruptedException { + // Error code ABORTED is retried repeatedly until it times out. + public void testAbortedExceptionRetries() throws InterruptedException { + mockSpannerService.setExecuteStreamingSqlExecutionTime( + SimulatedExecutionTime.ofStickyException(Status.ABORTED.asRuntimeException())); + DirectOptions options = PipelineOptionsFactory.as(DirectOptions.class); options.setBlockOnRun(false); options.setRunner(DirectRunner.class); Pipeline nonBlockingPipeline = TestPipeline.create(options); - mockSpannerService.setExecuteStreamingSqlExecutionTime( - SimulatedExecutionTime.ofStickyException(Status.UNAVAILABLE.asRuntimeException())); - final Timestamp startTimestamp = Timestamp.ofTimeSecondsAndNanos(0, 1000); final Timestamp endTimestamp = Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos() + 1); - try { nonBlockingPipeline.apply( SpannerIO.readChangeStream() @@ -171,23 +181,20 @@ public void testUnavailableExceptionRetries() throws InterruptedException { while (result.getState() != RUNNING) { Thread.sleep(50); } - // The pipeline continues making requests to Spanner to retry the Unavailable errors. + // The pipeline continues making requests to Spanner to retry the Aborted errors. assertNull(result.waitUntilFinish(Duration.millis(500))); } finally { - // databaseClient.getDialect does not currently bubble up the correct message. - // Instead, the error returned is: "DEADLINE_EXCEEDED: Operation did not complete " - // "in the given time" - thrown.expectMessage("UNAVAILABLE - Statement: 'SELECT 'POSTGRESQL' AS DIALECT"); + thrown.expectMessage("DEADLINE_EXCEEDED"); assertThat( mockSpannerService.countRequestsOfType(ExecuteSqlRequest.class), Matchers.equalTo(0)); } } @Test - @Ignore("BEAM-12164 Reenable this test when databaseClient.getDialect returns the right message.") - public void testAbortedExceptionNotRetried() { + // Error code UNKNOWN is not retried. + public void testUnknownExceptionDoesNotRetry() { mockSpannerService.setExecuteStreamingSqlExecutionTime( - SimulatedExecutionTime.ofStickyException(Status.ABORTED.asRuntimeException())); + SimulatedExecutionTime.ofStickyException(Status.UNKNOWN.asRuntimeException())); final Timestamp startTimestamp = Timestamp.ofTimeSecondsAndNanos(0, 1000); final Timestamp endTimestamp = @@ -204,19 +211,43 @@ public void testAbortedExceptionNotRetried() { pipeline.run().waitUntilFinish(); } finally { thrown.expect(SpannerException.class); - // databaseClient.getDialect does not currently bubble up the correct message. - // Instead, the error returned is: "DEADLINE_EXCEEDED: Operation did not complete " - // "in the given time" - thrown.expectMessage("ABORTED - Statement: 'SELECT 'POSTGRESQL' AS DIALECT"); + thrown.expectMessage("UNKNOWN"); assertThat( mockSpannerService.countRequestsOfType(ExecuteSqlRequest.class), Matchers.equalTo(0)); } } @Test - public void testAbortedExceptionNotRetriedithDefaultsForStreamSqlRetrySettings() { + // Error code RESOURCE_EXHAUSTED is retried repeatedly. + public void testResourceExhaustedRetry() { mockSpannerService.setExecuteStreamingSqlExecutionTime( - SimulatedExecutionTime.ofStickyException(Status.ABORTED.asRuntimeException())); + SimulatedExecutionTime.ofStickyException(Status.RESOURCE_EXHAUSTED.asRuntimeException())); + + final Timestamp startTimestamp = Timestamp.ofTimeSecondsAndNanos(0, 1000); + final Timestamp endTimestamp = + Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos() + 1); + + try { + pipeline.apply( + SpannerIO.readChangeStream() + .withSpannerConfig(getSpannerConfig()) + .withChangeStreamName(TEST_CHANGE_STREAM) + .withMetadataDatabase(TEST_DATABASE) + .withMetadataTable(TEST_TABLE) + .withInclusiveStartAt(startTimestamp) + .withInclusiveEndAt(endTimestamp)); + pipeline.run().waitUntilFinish(); + } finally { + thrown.expectMessage("DEADLINE_EXCEEDED"); + assertThat( + mockSpannerService.countRequestsOfType(ExecuteSqlRequest.class), Matchers.equalTo(0)); + } + } + + @Test + public void testResourceExhaustedRetryWithDefaultSettings() { + mockSpannerService.setExecuteStreamingSqlExecutionTime( + SimulatedExecutionTime.ofStickyException(Status.RESOURCE_EXHAUSTED.asRuntimeException())); final Timestamp startTimestamp = Timestamp.ofTimeSecondsAndNanos(0, 1000); final Timestamp endTimestamp = @@ -230,6 +261,7 @@ public void testAbortedExceptionNotRetriedithDefaultsForStreamSqlRetrySettings() .withProjectId(TEST_PROJECT) .withInstanceId(TEST_INSTANCE) .withDatabaseId(TEST_DATABASE); + try { pipeline.apply( SpannerIO.readChangeStream() @@ -241,24 +273,34 @@ public void testAbortedExceptionNotRetriedithDefaultsForStreamSqlRetrySettings() .withInclusiveEndAt(endTimestamp)); pipeline.run().waitUntilFinish(); } finally { - // databaseClient.getDialect does not currently bubble up the correct message. - // Instead, the error returned is: "DEADLINE_EXCEEDED: Operation did not complete " - // "in the given time" thrown.expect(SpannerException.class); - thrown.expectMessage("ABORTED - Statement: 'SELECT 'POSTGRESQL' AS DIALECT"); + thrown.expectMessage("RESOURCE_EXHAUSTED"); assertThat( mockSpannerService.countRequestsOfType(ExecuteSqlRequest.class), Matchers.equalTo(0)); } } @Test - public void testUnknownExceptionDoesNotRetry() { - mockSpannerService.setExecuteStreamingSqlExecutionTime( - SimulatedExecutionTime.ofStickyException(Status.UNKNOWN.asRuntimeException())); - + public void testInvalidRecordReceived() { final Timestamp startTimestamp = Timestamp.ofTimeSecondsAndNanos(0, 1000); final Timestamp endTimestamp = Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos() + 1); + + mockGetDialect(); + mockTableExists(); + mockGetWatermark(startTimestamp); + ResultSet getPartitionResultSet = mockGetParentPartition(startTimestamp, endTimestamp); + mockGetPartitionsAfter( + Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos() - 1), + getPartitionResultSet); + mockGetPartitionsAfter( + Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos()), + ResultSet.newBuilder().setMetadata(PARTITION_METADATA_RESULT_SET_METADATA).build()); + mockGetPartitionsAfter( + Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos() + 1), + ResultSet.newBuilder().setMetadata(PARTITION_METADATA_RESULT_SET_METADATA).build()); + mockInvalidChangeStreamRecordReceived(startTimestamp, endTimestamp); + try { pipeline.apply( SpannerIO.readChangeStream() @@ -271,15 +313,16 @@ public void testUnknownExceptionDoesNotRetry() { pipeline.run().waitUntilFinish(); } finally { thrown.expect(SpannerException.class); - thrown.expectMessage("UNKNOWN - Statement: 'SELECT 'POSTGRESQL' AS DIALECT"); + // DatabaseClient.getDialect returns "DEADLINE_EXCEEDED: Operation did not complete in the " + // given time" even though we mocked it out. + thrown.expectMessage("DEADLINE_EXCEEDED"); assertThat( mockSpannerService.countRequestsOfType(ExecuteSqlRequest.class), Matchers.equalTo(0)); } } @Test - @Ignore("BEAM-12164 Reenable this test when databaseClient.getDialect works.") - public void testInvalidRecordReceived() { + public void testInvalidRecordReceivedWithDefaultSettings() { final Timestamp startTimestamp = Timestamp.ofTimeSecondsAndNanos(0, 1000); final Timestamp endTimestamp = Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos() + 1); @@ -288,6 +331,8 @@ public void testInvalidRecordReceived() { mockTableExists(); mockGetWatermark(startTimestamp); ResultSet getPartitionResultSet = mockGetParentPartition(startTimestamp, endTimestamp); + mockchangePartitionState(startTimestamp, endTimestamp, "CREATED"); + mockchangePartitionState(startTimestamp, endTimestamp, "SCHEDULED"); mockGetPartitionsAfter( Timestamp.ofTimeSecondsAndNanos(startTimestamp.getSeconds(), startTimestamp.getNanos() - 1), getPartitionResultSet); @@ -300,9 +345,26 @@ public void testInvalidRecordReceived() { mockInvalidChangeStreamRecordReceived(startTimestamp, endTimestamp); try { + RetrySettings quickRetrySettings = + RetrySettings.newBuilder() + .setInitialRetryDelay(org.threeten.bp.Duration.ofMillis(250)) + .setMaxRetryDelay(org.threeten.bp.Duration.ofSeconds(1)) + .setRetryDelayMultiplier(5) + .setTotalTimeout(org.threeten.bp.Duration.ofSeconds(1)) + .build(); + final SpannerConfig changeStreamConfig = + SpannerConfig.create() + .withEmulatorHost(StaticValueProvider.of(SPANNER_HOST)) + .withIsLocalChannelProvider(StaticValueProvider.of(true)) + .withCommitRetrySettings(quickRetrySettings) + .withExecuteStreamingSqlRetrySettings(null) + .withProjectId(TEST_PROJECT) + .withInstanceId(TEST_INSTANCE) + .withDatabaseId(TEST_DATABASE); + pipeline.apply( SpannerIO.readChangeStream() - .withSpannerConfig(getSpannerConfig()) + .withSpannerConfig(changeStreamConfig) .withChangeStreamName(TEST_CHANGE_STREAM) .withMetadataDatabase(TEST_DATABASE) .withMetadataTable(TEST_TABLE) @@ -311,11 +373,9 @@ public void testInvalidRecordReceived() { pipeline.run().waitUntilFinish(); } finally { thrown.expect(PipelineExecutionException.class); - // DatabaseClient.getDialect returns "DEADLINE_EXCEEDED: Operation did not complete in the " - // given time" even though we mocked it out. thrown.expectMessage("Field not found"); assertThat( - mockSpannerService.countRequestsOfType(ExecuteSqlRequest.class), Matchers.equalTo(0)); + mockSpannerService.countRequestsOfType(ExecuteSqlRequest.class), Matchers.greaterThan(0)); } } @@ -487,6 +547,41 @@ private void mockTableExists() { StatementResult.query(tableExistsStatement, tableExistsResultSet)); } + private ResultSet mockchangePartitionState( + Timestamp startTimestamp, Timestamp after3Seconds, String state) { + List tokens = new ArrayList<>(); + tokens.add("Parent0"); + Statement getPartitionStatement = + Statement.newBuilder( + "SELECT * FROM my-metadata-table WHERE PartitionToken IN UNNEST(@partitionTokens) AND State = @state") + .bind("partitionTokens") + .toStringArray(tokens) + .bind("state") + .to(state) + .build(); + ResultSet getPartitionResultSet = + ResultSet.newBuilder() + .addRows( + ListValue.newBuilder() + .addValues(Value.newBuilder().setStringValue("Parent0")) + .addValues(Value.newBuilder().setListValue(ListValue.newBuilder().build())) + .addValues(Value.newBuilder().setStringValue(startTimestamp.toString())) + .addValues(Value.newBuilder().setStringValue(after3Seconds.toString())) + .addValues(Value.newBuilder().setStringValue("500")) + .addValues(Value.newBuilder().setStringValue(State.CREATED.name())) + .addValues(Value.newBuilder().setStringValue(startTimestamp.toString())) + .addValues(Value.newBuilder().setStringValue(startTimestamp.toString())) + .addValues(Value.newBuilder().setNullValue(NullValue.NULL_VALUE).build()) + .addValues(Value.newBuilder().setNullValue(NullValue.NULL_VALUE).build()) + .addValues(Value.newBuilder().setNullValue(NullValue.NULL_VALUE).build()) + .build()) + .setMetadata(PARTITION_METADATA_RESULT_SET_METADATA) + .build(); + mockSpannerService.putStatementResult( + StatementResult.query(getPartitionStatement, getPartitionResultSet)); + return getPartitionResultSet; + } + private void mockGetDialect() { Statement determineDialectStatement = Statement.newBuilder( From 3cae5ada4f6e50b4763801232d2ede7f8193d0f6 Mon Sep 17 00:00:00 2001 From: caneff Date: Wed, 4 Oct 2023 12:13:29 -0400 Subject: [PATCH 16/32] Fix dtype usage (#28797) --- sdks/python/apache_beam/dataframe/frames.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/sdks/python/apache_beam/dataframe/frames.py b/sdks/python/apache_beam/dataframe/frames.py index a74ccbba041a..7330feb4433e 100644 --- a/sdks/python/apache_beam/dataframe/frames.py +++ b/sdks/python/apache_beam/dataframe/frames.py @@ -4594,8 +4594,9 @@ def wrapper(self, *args, **kwargs): return _unliftable_agg(meth)(self, *args, **kwargs) to_group = self._ungrouped.proxy().index - is_categorical_grouping = any(to_group.get_level_values(i).is_categorical() - for i in self._grouping_indexes) + is_categorical_grouping = any( + isinstance(to_group.get_level_values(i).dtype, pd.CategoricalDtype) + for i in self._grouping_indexes) groupby_kwargs = self._kwargs group_keys = self._group_keys @@ -4647,8 +4648,9 @@ def wrapper(self, *args, **kwargs): to_group = self._ungrouped.proxy().index group_keys = self._group_keys - is_categorical_grouping = any(to_group.get_level_values(i).is_categorical() - for i in self._grouping_indexes) + is_categorical_grouping = any( + isinstance(to_group.get_level_values(i).dtype, pd.CategoricalDtype) + for i in self._grouping_indexes) groupby_kwargs = self._kwargs project = _maybe_project_func(self._projection) From 9ed9c059fec6e2520b091446898365ad976d053c Mon Sep 17 00:00:00 2001 From: caneff Date: Wed, 4 Oct 2023 12:15:17 -0400 Subject: [PATCH 17/32] Fix method argument handling for pandas 2.1 (#28816) --- sdks/python/apache_beam/dataframe/frames.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/sdks/python/apache_beam/dataframe/frames.py b/sdks/python/apache_beam/dataframe/frames.py index 7330feb4433e..f51814e7f696 100644 --- a/sdks/python/apache_beam/dataframe/frames.py +++ b/sdks/python/apache_beam/dataframe/frames.py @@ -1388,7 +1388,7 @@ def align(self, other, join, axis, level, method, **kwargs): Only the default, ``method=None``, is allowed.""" if level is not None: raise NotImplementedError('per-level align') - if method is not None: + if method is not None and method != lib.no_default: raise frame_base.WontImplementError( f"align(method={method!r}) is not supported because it is " "order sensitive. Only align(method=None) is supported.", @@ -2580,7 +2580,7 @@ def align(self, other, join, axis, copy, level, method, **kwargs): "align(copy=False) is not supported because it might be an inplace " "operation depending on the data. Please prefer the default " "align(copy=True).") - if method is not None: + if method is not None and method != lib.no_default: raise frame_base.WontImplementError( f"align(method={method!r}) is not supported because it is " "order sensitive. Only align(method=None) is supported.", From 659b22089e64957f658b9c92f9e94c6b23708bd0 Mon Sep 17 00:00:00 2001 From: Danny McCormick Date: Wed, 4 Oct 2023 13:07:45 -0400 Subject: [PATCH 18/32] Fix arm tests on Python PostCommit (#28740) * Longer arm timeout * Use custom container * restore workflow * Set up buildx * Fix container formatting * Use default creds * Finish args with backslash --- .../workflows/beam_PostCommit_Python_Arm.yml | 22 +++++++++++++++---- sdks/python/scripts/run_integration_test.sh | 9 ++++++++ .../python/test-suites/dataflow/common.gradle | 3 +++ 3 files changed, 30 insertions(+), 4 deletions(-) diff --git a/.github/workflows/beam_PostCommit_Python_Arm.yml b/.github/workflows/beam_PostCommit_Python_Arm.yml index a77c4e96dc51..8be303a82d1d 100644 --- a/.github/workflows/beam_PostCommit_Python_Arm.yml +++ b/.github/workflows/beam_PostCommit_Python_Arm.yml @@ -18,10 +18,10 @@ name: PostCommit Python Arm on: - # issue_comment: - # types: [created] - # schedule: - # - cron: '0 */6 * * *' + issue_comment: + types: [created] + schedule: + - cron: '0 */6 * * *' workflow_dispatch: # This allows a subsequently queued workflow run to interrupt previous runs @@ -81,12 +81,20 @@ jobs: run: | sudo curl -L https://github.com/docker/compose/releases/download/1.22.0/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose sudo chmod +x /usr/local/bin/docker-compose + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v2 + - name: GCloud Docker credential helper + run: | + gcloud auth configure-docker us.gcr.io - name: Set PY_VER_CLEAN id: set_py_ver_clean run: | PY_VER=${{ matrix.python_version }} PY_VER_CLEAN=${PY_VER//.} echo "py_ver_clean=$PY_VER_CLEAN" >> $GITHUB_OUTPUT + - name: Generate TAG unique variable based on timestamp + id: set_tag + run: echo "TAG=$(date +'%Y%m%d-%H%M%S%N')" >> $GITHUB_OUTPUT - name: run PostCommit Python ${{ matrix.python_version }} script uses: ./.github/actions/gradle-command-self-hosted-action with: @@ -94,8 +102,14 @@ jobs: arguments: | -PuseWheelDistribution \ -PpythonVersion=${{ matrix.python_version }} \ + -Pcontainer-architecture-list=arm64,amd64 \ + -Pdocker-repository-root=us.gcr.io/apache-beam-testing/github-actions \ + -Pdocker-tag=${{ steps.set_tag.outputs.TAG }} \ + -Ppush-containers \ env: CLOUDSDK_CONFIG: ${{ env.KUBELET_GCLOUD_CONFIG_PATH}} + MULTIARCH_TAG: ${{ steps.set_tag.outputs.TAG }} + USER: github-actions - name: Archive code coverage results uses: actions/upload-artifact@v3 with: diff --git a/sdks/python/scripts/run_integration_test.sh b/sdks/python/scripts/run_integration_test.sh index 6ad592080ae2..5ac3627a0960 100755 --- a/sdks/python/scripts/run_integration_test.sh +++ b/sdks/python/scripts/run_integration_test.sh @@ -79,6 +79,7 @@ SUITE="" COLLECT_MARKERS= REQUIREMENTS_FILE="" ARCH="" +PY_VERSION="" # Default test (pytest) options. # Run WordCountIT.test_wordcount_it by default if no test options are @@ -169,6 +170,11 @@ case $key in shift # past argument shift # past value ;; + --py_version) + PY_VERSION="$2" + shift # past argument + shift # past value + ;; *) # unknown option echo "Unknown option: $1" exit 1 @@ -242,6 +248,9 @@ if [[ -z $PIPELINE_OPTS ]]; then if [[ "$ARCH" == "ARM" ]]; then opts+=("--machine_type=t2a-standard-1") + + IMAGE_NAME="beam_python${PY_VERSION}_sdk" + opts+=("--sdk_container_image=us.gcr.io/$PROJECT/$USER/$IMAGE_NAME:$MULTIARCH_TAG") fi if [[ ! -z "$KMS_KEY_NAME" ]]; then diff --git a/sdks/python/test-suites/dataflow/common.gradle b/sdks/python/test-suites/dataflow/common.gradle index 7766cf3a377c..a713b82400e7 100644 --- a/sdks/python/test-suites/dataflow/common.gradle +++ b/sdks/python/test-suites/dataflow/common.gradle @@ -144,7 +144,9 @@ task postCommitIT { } task postCommitArmIT { + def pyversion = "${project.ext.pythonVersion.replace('.', '')}" dependsOn 'initializeForDataflowJob' + dependsOn ":sdks:python:container:py${pyversion}:docker" doLast { def testOpts = basicPytestOpts + ["--numprocesses=8", "--dist=loadfile"] @@ -153,6 +155,7 @@ task postCommitArmIT { "sdk_location": project.ext.sdkLocation, "suite": "postCommitIT-df${pythonVersionSuffix}", "collect": "it_postcommit", + "py_version": project.ext.pythonVersion, "arch": "ARM" ] def cmdArgs = mapToArgString(argMap) From f30f6c5e22046e2bd603ec47a3b9e38c80510fae Mon Sep 17 00:00:00 2001 From: Svetak Sundhar Date: Wed, 4 Oct 2023 17:42:26 +0000 Subject: [PATCH 19/32] [Blog] Quest updated dates (#28824) --- website/www/site/content/en/blog/beamquest.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/www/site/content/en/blog/beamquest.md b/website/www/site/content/en/blog/beamquest.md index eea893bf8227..dde6376b4077 100644 --- a/website/www/site/content/en/blog/beamquest.md +++ b/website/www/site/content/en/blog/beamquest.md @@ -34,6 +34,6 @@ Individuals aren’t the only ones who can benefit from completing this quest - Data Processing is a key part of AI/ML workflows. Given the recent advancements in artificial intelligence, now’s the time to jump into the world of data processing! Get started on your journey [here](https://www.cloudskillsboost.google/quests/310). -We are currently offering this quest **FREE OF CHARGE** until **July 8, 2023** for the **first 2,000** people. To obtain your badge for **FREE**, use the [Access Code](https://www.cloudskillsboost.google/catalog?qlcampaign=1h-swiss-19), create an account, and search ["Getting Started with Apache Beam"](https://www.cloudskillsboost.google/quests/310). +We are currently offering this quest **FREE OF CHARGE**. To obtain your badge for **FREE**, use the [Access Code](https://www.cloudskillsboost.google/catalog?qlcampaign=1h-swiss-19), create an account, and search ["Getting Started with Apache Beam"](https://www.cloudskillsboost.google/quests/310). If the code does not work, please email [dev@beam.apache.org](dev@beam.apache.org) to obtain a free code. PS: Once you earn your badge, please [share it on social media](https://support.google.com/qwiklabs/answer/9222527?hl=en&sjid=14905615709060962899-NA)! From b221d804998734dc9025dadc0d8354562ca79c18 Mon Sep 17 00:00:00 2001 From: Shunping Huang <133698626+shunping-google@users.noreply.github.com> Date: Wed, 4 Oct 2023 14:24:30 -0400 Subject: [PATCH 20/32] Add job name and worker id to traceId of AppendRowsRequest. (#28729) * Add new functions to retrieve job name and work id from GCE metadata * Concatenate job name, job id and worker id with ":". --- .../extensions/gcp/util/GceMetadataUtil.java | 50 +++++++++++++------ .../io/gcp/bigquery/BigQueryIOMetadata.java | 34 +++++++++++-- .../io/gcp/bigquery/BigQueryServicesImpl.java | 12 +++-- 3 files changed, 73 insertions(+), 23 deletions(-) diff --git a/sdks/java/extensions/google-cloud-platform-core/src/main/java/org/apache/beam/sdk/extensions/gcp/util/GceMetadataUtil.java b/sdks/java/extensions/google-cloud-platform-core/src/main/java/org/apache/beam/sdk/extensions/gcp/util/GceMetadataUtil.java index b853ab792e08..fd49b759fd6d 100644 --- a/sdks/java/extensions/google-cloud-platform-core/src/main/java/org/apache/beam/sdk/extensions/gcp/util/GceMetadataUtil.java +++ b/sdks/java/extensions/google-cloud-platform-core/src/main/java/org/apache/beam/sdk/extensions/gcp/util/GceMetadataUtil.java @@ -30,40 +30,60 @@ import org.apache.http.params.BasicHttpParams; import org.apache.http.params.HttpConnectionParams; import org.apache.http.params.HttpParams; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; /** */ public class GceMetadataUtil { private static final String BASE_METADATA_URL = "http://metadata/computeMetadata/v1/"; + private static final Logger LOG = LoggerFactory.getLogger(GceMetadataUtil.class); + static String fetchMetadata(String key) { + String requestUrl = BASE_METADATA_URL + key; int timeoutMillis = 5000; final HttpParams httpParams = new BasicHttpParams(); HttpConnectionParams.setConnectionTimeout(httpParams, timeoutMillis); - HttpClient client = new DefaultHttpClient(httpParams); - HttpGet request = new HttpGet(BASE_METADATA_URL + key); - request.setHeader("Metadata-Flavor", "Google"); - + String ret = ""; try { + HttpClient client = new DefaultHttpClient(httpParams); + + HttpGet request = new HttpGet(requestUrl); + request.setHeader("Metadata-Flavor", "Google"); + HttpResponse response = client.execute(request); - if (response.getStatusLine().getStatusCode() != 200) { - // May mean its running on a non DataflowRunner, in which case it's perfectly normal. - return ""; + if (response.getStatusLine().getStatusCode() == 200) { + InputStream in = response.getEntity().getContent(); + try (final Reader reader = new InputStreamReader(in, StandardCharsets.UTF_8)) { + ret = CharStreams.toString(reader); + } } - InputStream in = response.getEntity().getContent(); - try (final Reader reader = new InputStreamReader(in, StandardCharsets.UTF_8)) { - return CharStreams.toString(reader); - } - } catch (IOException e) { - // May mean its running on a non DataflowRunner, in which case it's perfectly normal. + } catch (IOException ignored) { } - return ""; + + // The return value can be an empty string, which may mean it's running on a non DataflowRunner. + LOG.debug("Fetched GCE Metadata at '{}' and got '{}'", requestUrl, ret); + + return ret; + } + + private static String fetchVmInstanceMetadata(String instanceMetadataKey) { + return GceMetadataUtil.fetchMetadata("instance/" + instanceMetadataKey); } private static String fetchCustomGceMetadata(String customMetadataKey) { - return GceMetadataUtil.fetchMetadata("instance/attributes/" + customMetadataKey); + return GceMetadataUtil.fetchVmInstanceMetadata("attributes/" + customMetadataKey); } public static String fetchDataflowJobId() { return GceMetadataUtil.fetchCustomGceMetadata("job_id"); } + + public static String fetchDataflowJobName() { + return GceMetadataUtil.fetchCustomGceMetadata("job_name"); + } + + public static String fetchDataflowWorkerId() { + return GceMetadataUtil.fetchVmInstanceMetadata("id"); + } } diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOMetadata.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOMetadata.java index ee64a7ab9ddb..0b5e063c0b5b 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOMetadata.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOMetadata.java @@ -28,8 +28,15 @@ final class BigQueryIOMetadata { private @Nullable String beamJobId; - private BigQueryIOMetadata(@Nullable String beamJobId) { + private @Nullable String beamJobName; + + private @Nullable String beamWorkerId; + + private BigQueryIOMetadata(@Nullable String beamJobId, @Nullable String beamJobName, + @Nullable String beamWorkerId) { this.beamJobId = beamJobId; + this.beamJobName = beamJobName; + this.beamWorkerId = beamWorkerId; } private static final Pattern VALID_CLOUD_LABEL_PATTERN = @@ -41,17 +48,24 @@ private BigQueryIOMetadata(@Nullable String beamJobId) { */ public static BigQueryIOMetadata create() { String dataflowJobId = GceMetadataUtil.fetchDataflowJobId(); + String dataflowJobName = GceMetadataUtil.fetchDataflowJobName(); + String dataflowWorkerId = GceMetadataUtil.fetchDataflowWorkerId(); + // If a Dataflow job id is returned on GCE metadata. Then it means // this program is running on a Dataflow GCE VM. - boolean isDataflowRunner = dataflowJobId != null && !dataflowJobId.isEmpty(); + boolean isDataflowRunner = !dataflowJobId.isEmpty(); String beamJobId = null; + String beamJobName = null; + String beamWorkerId = null; if (isDataflowRunner) { if (BigQueryIOMetadata.isValidCloudLabel(dataflowJobId)) { beamJobId = dataflowJobId; + beamJobName = dataflowJobName; + beamWorkerId = dataflowWorkerId; } } - return new BigQueryIOMetadata(beamJobId); + return new BigQueryIOMetadata(beamJobId, beamJobName, beamWorkerId); } public Map addAdditionalJobLabels(Map jobLabels) { @@ -68,6 +82,20 @@ public Map addAdditionalJobLabels(Map jobLabels) return this.beamJobId; } + /* + * Returns the beam job name. Can be null if it is not running on Dataflow. + */ + public @Nullable String getBeamJobName() { + return this.beamJobName; + } + + /* + * Returns the beam worker id. Can be null if it is not running on Dataflow. + */ + public @Nullable String getBeamWorkerId() { + return this.beamWorkerId; + } + /** * Returns true if label_value is a valid cloud label string. This function can return false in * cases where the label value is valid. However, it will not return true in a case where the diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java index 3d4565cb086e..04a665ac9947 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java @@ -1364,6 +1364,12 @@ public StreamAppendClient getStreamAppendClient( .setChannelsPerCpu(2) .build(); + String traceId = String.format("Dataflow:%s:%s:%s", + bqIOMetadata.getBeamJobName() == null ? options.getJobName() + : bqIOMetadata.getBeamJobName(), + bqIOMetadata.getBeamJobId() == null ? "" : bqIOMetadata.getBeamJobId(), + bqIOMetadata.getBeamWorkerId() == null ? "" : bqIOMetadata.getBeamWorkerId()); + StreamWriter streamWriter = StreamWriter.newBuilder(streamName, newWriteClient) .setExecutorProvider( @@ -1374,11 +1380,7 @@ public StreamAppendClient getStreamAppendClient( .setEnableConnectionPool(useConnectionPool) .setMaxInflightRequests(storageWriteMaxInflightRequests) .setMaxInflightBytes(storageWriteMaxInflightBytes) - .setTraceId( - "Dataflow:" - + (bqIOMetadata.getBeamJobId() != null - ? bqIOMetadata.getBeamJobId() - : options.getJobName())) + .setTraceId(traceId) .build(); return new StreamAppendClient() { private int pins = 0; From 3e22be4d310d93223d37620663bb270f71a7e23b Mon Sep 17 00:00:00 2001 From: Yi Hu Date: Wed, 4 Oct 2023 16:40:08 -0400 Subject: [PATCH 21/32] Revert "Bump com.avast.gradle:gradle-docker-compose-plugin (#28465)" (#28828) * Revert "Bump com.avast.gradle:gradle-docker-compose-plugin (#28465)" This reverts commit 544745ca72868d3e385654a6cfaff444c012d00b. * Add buildSrc/build.gradle.kts to workflow trigger path --- .github/workflows/beam_PreCommit_CommunityMetrics.yml | 4 ++-- .test-infra/metrics/build.gradle | 2 +- buildSrc/build.gradle.kts | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/beam_PreCommit_CommunityMetrics.yml b/.github/workflows/beam_PreCommit_CommunityMetrics.yml index f044b154c0ab..bb44ca0b5464 100644 --- a/.github/workflows/beam_PreCommit_CommunityMetrics.yml +++ b/.github/workflows/beam_PreCommit_CommunityMetrics.yml @@ -19,10 +19,10 @@ on: push: tags: ['v*'] branches: ['master', 'release-*'] - paths: ['.test-infra/metrics/**', '.github/workflows/beam_PreCommit_CommunityMetrics.yml'] + paths: ['.test-infra/metrics/**', 'buildSrc/build.gradle.kts', '.github/workflows/beam_PreCommit_CommunityMetrics.yml'] pull_request_target: branches: ['master', 'release-*'] - paths: ['.test-infra/metrics/**'] + paths: ['.test-infra/metrics/**', 'buildSrc/build.gradle.kts'] issue_comment: types: [created] schedule: diff --git a/.test-infra/metrics/build.gradle b/.test-infra/metrics/build.gradle index febe2849ef56..f1ecba05f84d 100644 --- a/.test-infra/metrics/build.gradle +++ b/.test-infra/metrics/build.gradle @@ -106,7 +106,7 @@ task deploy { standardOutput = stdout } - // All images have the same tag, it doesn't matter which we choose. + // All images have the same tag, it doesn't matter which we choose. String image = (stdout.toString().split(' ') as List)[0] String currentImageTag = (image.split(':') as List)[1] println "Current image tag: ${currentImageTag}" diff --git a/buildSrc/build.gradle.kts b/buildSrc/build.gradle.kts index edd10ee108f6..0ca748e3eb04 100644 --- a/buildSrc/build.gradle.kts +++ b/buildSrc/build.gradle.kts @@ -54,7 +54,7 @@ dependencies { runtimeOnly("gradle.plugin.io.pry.gradle.offline_dependencies:gradle-offline-dependencies-plugin:0.5.0") // Enable creating an offline repository runtimeOnly("net.ltgt.gradle:gradle-errorprone-plugin:1.2.1") // Enable errorprone Java static analysis runtimeOnly("org.ajoberstar.grgit:grgit-gradle:4.1.1") // Enable website git publish to asf-site branch - runtimeOnly("com.avast.gradle:gradle-docker-compose-plugin:0.17.5") // Enable docker compose tasks + runtimeOnly("com.avast.gradle:gradle-docker-compose-plugin:0.16.12") // Enable docker compose tasks runtimeOnly("ca.cutterslade.gradle:gradle-dependency-analyze:1.8.3") // Enable dep analysis runtimeOnly("gradle.plugin.net.ossindex:ossindex-gradle-plugin:0.4.11") // Enable dep vulnerability analysis runtimeOnly("org.checkerframework:checkerframework-gradle-plugin:0.6.33") // Enable enhanced static checking plugin From c2666e114971a4727919d9c95287a4ceaf486a92 Mon Sep 17 00:00:00 2001 From: Anand Inguva <34158215+AnandInguva@users.noreply.github.com> Date: Wed, 4 Oct 2023 16:51:02 -0400 Subject: [PATCH 22/32] Add num_workers and save_main_session flag to auto_model_refresh notebook (#28777) * Add num_workers and save_main_session flag * Add WorkerOptions * Apply suggestions from code review Co-authored-by: Danny McCormick * Add back removed contents from a past commit * Add workerOptions to the import * Created using Colaboratory * Created using Colaboratory * Update auto model refresh notebook * Apply suggestions from code review Co-authored-by: Danny McCormick --------- Co-authored-by: Danny McCormick --- .../beam-ml/automatic_model_refresh.ipynb | 1133 ++++++++--------- 1 file changed, 529 insertions(+), 604 deletions(-) diff --git a/examples/notebooks/beam-ml/automatic_model_refresh.ipynb b/examples/notebooks/beam-ml/automatic_model_refresh.ipynb index 67fe51af1253..9cbab0a14178 100644 --- a/examples/notebooks/beam-ml/automatic_model_refresh.ipynb +++ b/examples/notebooks/beam-ml/automatic_model_refresh.ipynb @@ -1,605 +1,530 @@ { - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [{ - "cell_type": "code", - "source": [ - "# @title ###### Licensed to the Apache Software Foundation (ASF), Version 2.0 (the \"License\")\n", - "\n", - "# Licensed to the Apache Software Foundation (ASF) under one\n", - "# or more contributor license agreements. See the NOTICE file\n", - "# distributed with this work for additional information\n", - "# regarding copyright ownership. The ASF licenses this file\n", - "# to you under the Apache License, Version 2.0 (the\n", - "# \"License\"); you may not use this file except in compliance\n", - "# with the License. You may obtain a copy of the License at\n", - "#\n", - "# http://www.apache.org/licenses/LICENSE-2.0\n", - "#\n", - "# Unless required by applicable law or agreed to in writing,\n", - "# software distributed under the License is distributed on an\n", - "# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", - "# KIND, either express or implied. See the License for the\n", - "# specific language governing permissions and limitations\n", - "# under the License" - ], - "metadata": { - "cellView": "form", - "id": "OsFaZscKSPvo" - }, - "execution_count": null, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "# Update ML models in running pipelines\n", - "\n", - "\n", - " \n", - " \n", - "
\n", - " Run in Google Colab\n", - " \n", - " View source on GitHub\n", - "
\n" - ], - "metadata": { - "id": "ZUSiAR62SgO8" - } - }, - { - "cell_type": "markdown", - "source": [ - "This notebook demonstrates how to perform automatic model updates without stopping your Apache Beam pipeline.\n", - "You can use side inputs to update your model in real time, even while the Apache Beam pipeline is running. The side input is passed in a `ModelHandler` configuration object. You can update the model either by leveraging one of Apache Beam's provided patterns, such as the `WatchFilePattern`, or by configuring a custom side input `PCollection` that defines the logic for the model update.\n", - "\n", - "The pipeline in this notebook uses a RunInference `PTransform` with TensorFlow machine learning (ML) models to run inference on images. To update the model, it uses a side input `PCollection` that emits `ModelMetadata`.\n", - "For more information about side inputs, see the [Side inputs](https://beam.apache.org/documentation/programming-guide/#side-inputs) section in the Apache Beam Programming Guide.\n", - "\n", - "This example uses `WatchFilePattern` as a side input. `WatchFilePattern` is used to watch for file updates that match the `file_pattern` based on timestamps. It emits the latest `ModelMetadata`, which is used in the RunInference `PTransform` to automatically update the ML model without stopping the Apache Beam pipeline.\n" - ], - "metadata": { - "id": "tBtqF5UpKJNZ" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Before you begin\n", - "Install the dependencies required to run this notebook.\n", - "\n", - "To use RunInference with side inputs for automatic model updates, use Apache Beam version 2.46.0 or later." - ], - "metadata": { - "id": "SPuXFowiTpWx" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "1RyTYsFEIOlA", - "outputId": "0e6b88a7-82d8-4d94-951c-046a9b8b7abb", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }], - "source": [ - "!pip install apache_beam[gcp]>=2.46.0 --quiet\n", - "!pip install tensorflow\n", - "!pip install tensorflow_hub" - ] - }, - { - "cell_type": "code", - "source": [ - "# Imports required for the notebook.\n", - "import logging\n", - "import time\n", - "from typing import Iterable\n", - "from typing import Tuple\n", - "\n", - "import apache_beam as beam\n", - "from apache_beam.examples.inference.tensorflow_imagenet_segmentation import PostProcessor\n", - "from apache_beam.examples.inference.tensorflow_imagenet_segmentation import read_image\n", - "from apache_beam.ml.inference.base import PredictionResult\n", - "from apache_beam.ml.inference.base import RunInference\n", - "from apache_beam.ml.inference.tensorflow_inference import TFModelHandlerTensor\n", - "from apache_beam.ml.inference.utils import WatchFilePattern\n", - "from apache_beam.options.pipeline_options import GoogleCloudOptions\n", - "from apache_beam.options.pipeline_options import PipelineOptions\n", - "from apache_beam.options.pipeline_options import SetupOptions\n", - "from apache_beam.options.pipeline_options import StandardOptions\n", - "from apache_beam.transforms.periodicsequence import PeriodicImpulse\n", - "import numpy\n", - "from PIL import Image\n", - "import tensorflow as tf" - ], - "metadata": { - "id": "Rs4cwwNrIV9H" - }, - "execution_count": 2, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "code", - "source": [ - "# Authenticate to your Google Cloud account.\n", - "from google.colab import auth\n", - "auth.authenticate_user()" - ], - "metadata": { - "id": "jAKpPcmmGm03" - }, - "execution_count": 3, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "## Configure the runner\n", - "\n", - "This pipeline uses the Dataflow Runner. To run the pipeline, you need to complete the following tasks:\n", - "\n", - "* Ensure that you have all the required permissions to run the pipeline on Dataflow.\n", - "* Configure the pipeline options for the pipeline to run on Dataflow. Make sure the pipeline is using streaming mode.\n", - "\n", - "In the following code, replace `BUCKET_NAME` with the the name of your Cloud Storage bucket." - ], - "metadata": { - "id": "ORYNKhH3WQyP" - } - }, - { - "cell_type": "code", - "source": [ - "options = PipelineOptions()\n", - "options.view_as(StandardOptions).streaming = True\n", - "\n", - "# Provide required pipeline options for the Dataflow Runner.\n", - "options.view_as(StandardOptions).runner = \"DataflowRunner\"\n", - "\n", - "# Set the project to the default project in your current Google Cloud environment.\n", - "options.view_as(GoogleCloudOptions).project = 'your-project'\n", - "\n", - "# Set the Google Cloud region that you want to run Dataflow in.\n", - "options.view_as(GoogleCloudOptions).region = 'us-central1'\n", - "\n", - "# IMPORTANT: Replace BUCKET_NAME with the the name of your Cloud Storage bucket.\n", - "dataflow_gcs_location = \"gs://BUCKET_NAME/tmp/\"\n", - "\n", - "# The Dataflow staging location. This location is used to stage the Dataflow pipeline and the SDK binary.\n", - "options.view_as(GoogleCloudOptions).staging_location = '%s/staging' % dataflow_gcs_location\n", - "\n", - "# The Dataflow temp location. This location is used to store temporary files or intermediate results before outputting to the sink.\n", - "options.view_as(GoogleCloudOptions).temp_location = '%s/temp' % dataflow_gcs_location\n", - "\n" - ], - "metadata": { - "id": "wWjbnq6X-4uE" - }, - "execution_count": 4, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "Install the `tensorflow` and `tensorflow_hub` dependencies on Dataflow. Use the `requirements_file` pipeline option to pass these dependencies." - ], - "metadata": { - "id": "HTJV8pO2Wcw4" - } - }, - { - "cell_type": "code", - "source": [ - "# In a requirements file, define the dependencies required for the pipeline.\n", - "deps_required_for_pipeline = ['tensorflow>=2.12.0', 'tensorflow-hub>=0.10.0', 'Pillow>=9.0.0']\n", - "requirements_file_path = './requirements.txt'\n", - "# Write the dependencies to the requirements file.\n", - "with open(requirements_file_path, 'w') as f:\n", - " for dep in deps_required_for_pipeline:\n", - " f.write(dep + '\\n')\n", - "\n", - "# Install the pipeline dependencies on Dataflow.\n", - "options.view_as(SetupOptions).requirements_file = requirements_file_path" - ], - "metadata": { - "id": "lEy4PkluWbdm" - }, - "execution_count": 5, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "## Use the TensorFlow model handler\n", - " This example uses `TFModelHandlerTensor` as the model handler and the `resnet_101` model trained on [ImageNet](https://www.image-net.org/).\n", - "\n", - " Download the model from [Google Cloud Storage](https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet101_weights_tf_dim_ordering_tf_kernels.h5) (link downloads the model), and place it in the directory that you want to use to update your model.\n", - "\n", - "In the following code, replace `BUCKET_NAME` with the the name of your Cloud Storage bucket." - ], - "metadata": { - "id": "_AUNH_GJk_NE" - } - }, - { - "cell_type": "code", - "source": [ - "model_handler = TFModelHandlerTensor(\n", - " model_uri=\"gs://BUCKET_NAME/resnet101_weights_tf_dim_ordering_tf_kernels.h5\")" - ], - "metadata": { - "id": "kkSnsxwUk-Sp" - }, - "execution_count": 6, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "## Preprocess images\n", - "\n", - "Use `preprocess_image` to run the inference, read the image, and convert the image to a TensorFlow tensor." - ], - "metadata": { - "id": "tZH0r0sL-if5" - } - }, - { - "cell_type": "code", - "source": [ - "def preprocess_image(image_name, image_dir):\n", - " img = tf.keras.utils.get_file(image_name, image_dir + image_name)\n", - " img = Image.open(img).resize((224, 224))\n", - " img = numpy.array(img) / 255.0\n", - " img_tensor = tf.cast(tf.convert_to_tensor(img[...]), dtype=tf.float32)\n", - " return img_tensor" - ], - "metadata": { - "id": "dU5imgTt-8Ne" - }, - "execution_count": 7, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "code", - "source": [ - "class PostProcessor(beam.DoFn):\n", - " \"\"\"Process the PredictionResult to get the predicted label.\n", - " Returns predicted label.\n", - " \"\"\"\n", - " def process(self, element: PredictionResult) -> Iterable[Tuple[str, str]]:\n", - " predicted_class = numpy.argmax(element.inference, axis=-1)\n", - " labels_path = tf.keras.utils.get_file(\n", - " 'ImageNetLabels.txt',\n", - " 'https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt' # pylint: disable=line-too-long\n", - " )\n", - " imagenet_labels = numpy.array(open(labels_path).read().splitlines())\n", - " predicted_class_name = imagenet_labels[predicted_class]\n", - " yield predicted_class_name.title(), element.model_id" - ], - "metadata": { - "id": "6V5tJxO6-gyt" - }, - "execution_count": 8, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "code", - "source": [ - "# Define the pipeline object.\n", - "pipeline = beam.Pipeline(options=options)" - ], - "metadata": { - "id": "GpdKk72O_NXT", - "outputId": "bcbaa8a6-0408-427a-de9e-78a6a7eefd7b", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 400 - } - }, - "execution_count": 9, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "Next, review the pipeline steps and examine the code.\n", - "\n", - "### Pipeline steps\n" - ], - "metadata": { - "id": "elZ53uxc_9Hv" - } - }, - { - "cell_type": "markdown", - "source": [ - "1. Create a `PeriodicImpulse` transform, which emits output every `n` seconds. The `PeriodicImpulse` transform generates an infinite sequence of elements with a given runtime interval.\n", - "\n", - " In this example, `PeriodicImpulse` mimics the Pub/Sub source. Because the inputs in a streaming pipeline arrive in intervals, use `PeriodicImpulse` to output elements at `m` intervals.\n", - "To learn more about `PeriodicImpulse`, see the [`PeriodicImpulse` code](https://github.com/apache/beam/blob/9c52e0594d6f0e59cd17ee005acfb41da508e0d5/sdks/python/apache_beam/transforms/periodicsequence.py#L150)." - ], - "metadata": { - "id": "305tkV2sAD-S" - } - }, - { - "cell_type": "code", - "source": [ - "start_timestamp = time.time() # start timestamp of the periodic impulse\n", - "end_timestamp = start_timestamp + 60 * 20 # end timestamp of the periodic impulse (will run for 20 minutes).\n", - "main_input_fire_interval = 60 # interval in seconds at which the main input PCollection is emitted.\n", - "side_input_fire_interval = 60 # interval in seconds at which the side input PCollection is emitted.\n", - "\n", - "periodic_impulse = (\n", - " pipeline\n", - " | \"MainInputPcoll\" >> PeriodicImpulse(\n", - " start_timestamp=start_timestamp,\n", - " stop_timestamp=end_timestamp,\n", - " fire_interval=main_input_fire_interval))" - ], - "metadata": { - "id": "vUFStz66_Tbb", - "outputId": "39f2704b-021e-4d41-fce3-a2fac90a5bad", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 133 - } - }, - "execution_count": 10, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "2. To read and preprocess the images, use the `read_image` function. This example uses `Cat-with-beanie.jpg` for all inferences.\n", - "\n", - " **Note**: Image used for prediction is licensed in CC-BY. The creator is listed in the [LICENSE.txt](https://storage.googleapis.com/apache-beam-samples/image_captioning/LICENSE.txt) file." - ], - "metadata": { - "id": "8-sal2rFAxP2" - } - }, - { - "cell_type": "markdown", - "source": [ - 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)" - ], - "metadata": { - "id": "gW4cE8bhXS-d" - } - }, - { - "cell_type": "code", - "source": [ - "image_data = (periodic_impulse | beam.Map(lambda x: \"Cat-with-beanie.jpg\")\n", - " | \"ReadImage\" >> beam.Map(lambda image_name: read_image(\n", - " image_name=image_name, image_dir='https://storage.googleapis.com/apache-beam-samples/image_captioning/')))" - ], - "metadata": { - "id": "dGg11TpV_aV6", - "outputId": "a57e8197-6756-4fd8-a664-f51ef2fea730", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 204 - } - }, - "execution_count": 11, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "3. Pass the images to the RunInference `PTransform`. RunInference takes `model_handler` and `model_metadata_pcoll` as input parameters.\n", - " * `model_metadata_pcoll` is a side input `PCollection` to the RunInference `PTransform`. This side input is used to update the `model_uri` in the `model_handler` without needing to stop the Apache Beam pipeline\n", - " * Use `WatchFilePattern` as side input to watch a `file_pattern` matching `.h5` files. In this case, the `file_pattern` is `'gs://BUCKET_NAME/*.h5'`.\n", - "\n" - ], - "metadata": { - "id": "eB0-ewd-BCKE" - } - }, - { - "cell_type": "code", - "source": [ - " # The side input used to watch for the .h5 file and update the model_uri of the TFModelHandlerTensor.\n", - "file_pattern = 'gs://BUCKET_NAME/*.h5'\n", - "side_input_pcoll = (\n", - " pipeline\n", - " | \"WatchFilePattern\" >> WatchFilePattern(file_pattern=file_pattern,\n", - " interval=side_input_fire_interval,\n", - " stop_timestamp=end_timestamp))\n", - "inferences = (\n", - " image_data\n", - " | \"ApplyWindowing\" >> beam.WindowInto(beam.window.FixedWindows(10))\n", - " | \"RunInference\" >> RunInference(model_handler=model_handler,\n", - " model_metadata_pcoll=side_input_pcoll))" - ], - "metadata": { - "id": "_AjvvexJ_hUq", - "outputId": "291fcc38-0abb-4b11-f840-4a850097a56f", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 133 - } - }, - "execution_count": 12, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "4. Post-process the `PredictionResult` object.\n", - "When the inference is complete, RunInference outputs a `PredictionResult` object that contains the fields `example`, `inference`, and `model_id`. The `model_id` field identifies the model used to run the inference. The `PostProcessor` returns the predicted label and the model ID used to run the inference on the predicted label." - ], - "metadata": { - "id": "lTA4wRWNDVis" - } - }, - { - "cell_type": "code", - "source": [ - "post_processor = (\n", - " inferences\n", - " | \"PostProcessResults\" >> beam.ParDo(PostProcessor())\n", - " | \"LogResults\" >> beam.Map(logging.info))" - ], - "metadata": { - "id": "9TB76fo-_vZJ", - "outputId": "3e12d482-1bdf-4136-fbf7-9d5bb4bb62c3", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 222 - } - }, - "execution_count": 13, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - }, - { - "cell_type": "markdown", - "source": [ - "### Watch for the model update\n", - "\n", - "After the pipeline starts processing data and when you see output emitted from the RunInference `PTransform`, upload a `resnet152` model saved in `.h5` format to a Google Cloud Storage bucket location that matches the `file_pattern` you defined earlier. You can [download a copy of the model](https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet152_weights_tf_dim_ordering_tf_kernels.h5) (link downloads the model). RunInference uses `WatchFilePattern` as a side input to update the `model_uri` of `TFModelHandlerTensor`." - ], - "metadata": { - "id": "wYp-mBHHjOjA" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Run the pipeline\n", - "\n", - "Use the following code to run the pipeline." - ], - "metadata": { - "id": "_ty03jDnKdKR" - } - }, - { - "cell_type": "code", - "source": [ - "# Run the pipeline.\n", - "result = pipeline.run().wait_until_finish()" - ], - "metadata": { - "id": "wd0VJLeLEWBU", - "outputId": "3489c891-05d2-4739-d693-1899cfe78859", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 186 - } - }, - "execution_count": 14, - "outputs": [{ - "output_type": "stream", - "name": "stdout", - "text": [ - "\n" - ] - }] - } - ] -} + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "code", + "source": [ + "# @title ###### Licensed to the Apache Software Foundation (ASF), Version 2.0 (the \"License\")\n", + "\n", + "# Licensed to the Apache Software Foundation (ASF) under one\n", + "# or more contributor license agreements. See the NOTICE file\n", + "# distributed with this work for additional information\n", + "# regarding copyright ownership. The ASF licenses this file\n", + "# to you under the Apache License, Version 2.0 (the\n", + "# \"License\"); you may not use this file except in compliance\n", + "# with the License. You may obtain a copy of the License at\n", + "#\n", + "# http://www.apache.org/licenses/LICENSE-2.0\n", + "#\n", + "# Unless required by applicable law or agreed to in writing,\n", + "# software distributed under the License is distributed on an\n", + "# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", + "# KIND, either express or implied. See the License for the\n", + "# specific language governing permissions and limitations\n", + "# under the License" + ], + "metadata": { + "cellView": "form", + "id": "OsFaZscKSPvo" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "# Update ML models in running pipelines\n", + "\n", + "\n", + " \n", + " \n", + "
\n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + "
\n" + ], + "metadata": { + "id": "ZUSiAR62SgO8" + } + }, + { + "cell_type": "markdown", + "source": [ + "This notebook demonstrates how to perform automatic model updates without stopping your Apache Beam pipeline.\n", + "You can use side inputs to update your model in real time, even while the Apache Beam pipeline is running. The side input is passed in a `ModelHandler` configuration object. You can update the model either by leveraging one of Apache Beam's provided patterns, such as the `WatchFilePattern`, or by configuring a custom side input `PCollection` that defines the logic for the model update.\n", + "\n", + "The pipeline in this notebook uses a RunInference `PTransform` with TensorFlow machine learning (ML) models to run inference on images. To update the model, it uses a side input `PCollection` that emits `ModelMetadata`.\n", + "For more information about side inputs, see the [Side inputs](https://beam.apache.org/documentation/programming-guide/#side-inputs) section in the Apache Beam Programming Guide.\n", + "\n", + "This example uses `WatchFilePattern` as a side input. `WatchFilePattern` is used to watch for file updates that match the `file_pattern` based on timestamps. It emits the latest `ModelMetadata`, which is used in the RunInference `PTransform` to automatically update the ML model without stopping the Apache Beam pipeline.\n" + ], + "metadata": { + "id": "tBtqF5UpKJNZ" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Before you begin\n", + "Install the dependencies required to run this notebook.\n", + "\n", + "To use RunInference with side inputs for automatic model updates, use Apache Beam version 2.46.0 or later." + ], + "metadata": { + "id": "SPuXFowiTpWx" + } + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1RyTYsFEIOlA" + }, + "outputs": [], + "source": [ + "!pip install apache_beam[gcp]>=2.46.0 --quiet\n", + "!pip install tensorflow --quiet\n", + "!pip install tensorflow_hub --quiet" + ] + }, + { + "cell_type": "code", + "source": [ + "# Imports required for the notebook.\n", + "import logging\n", + "import time\n", + "from typing import Iterable\n", + "from typing import Tuple\n", + "\n", + "import apache_beam as beam\n", + "from apache_beam.ml.inference.base import PredictionResult\n", + "from apache_beam.ml.inference.base import RunInference\n", + "from apache_beam.ml.inference.tensorflow_inference import TFModelHandlerTensor\n", + "from apache_beam.ml.inference.utils import WatchFilePattern\n", + "from apache_beam.options.pipeline_options import GoogleCloudOptions\n", + "from apache_beam.options.pipeline_options import PipelineOptions\n", + "from apache_beam.options.pipeline_options import SetupOptions\n", + "from apache_beam.options.pipeline_options import StandardOptions\n", + "from apache_beam.options.pipeline_options import WorkerOptions\n", + "from apache_beam.transforms.periodicsequence import PeriodicImpulse\n", + "import numpy\n", + "from PIL import Image\n", + "import tensorflow as tf" + ], + "metadata": { + "id": "Rs4cwwNrIV9H" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Authenticate to your Google Cloud account.\n", + "def auth_to_colab():\n", + " from google.colab import auth\n", + " auth.authenticate_user()\n", + "\n", + "auth_to_colab()" + ], + "metadata": { + "id": "jAKpPcmmGm03" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Configure the runner\n", + "\n", + "This pipeline uses the Dataflow Runner. To run the pipeline, you need to complete the following tasks:\n", + "\n", + "* Ensure that you have all the required permissions to run the pipeline on Dataflow.\n", + "* Configure the pipeline options for the pipeline to run on Dataflow. Make sure the pipeline is using streaming mode.\n", + "\n", + "In the following code, replace `BUCKET_NAME` with the the name of your Cloud Storage bucket." + ], + "metadata": { + "id": "ORYNKhH3WQyP" + } + }, + { + "cell_type": "code", + "source": [ + "options = PipelineOptions()\n", + "options.view_as(StandardOptions).streaming = True\n", + "\n", + "BUCKET_NAME = '' # Replace with your bucket name.\n", + "\n", + "# Provide required pipeline options for the Dataflow Runner.\n", + "options.view_as(StandardOptions).runner = \"DataflowRunner\"\n", + "\n", + "# Set the project to the default project in your current Google Cloud environment.\n", + "options.view_as(GoogleCloudOptions).project = ''\n", + "\n", + "# Set the Google Cloud region that you want to run Dataflow in.\n", + "options.view_as(GoogleCloudOptions).region = 'us-central1'\n", + "\n", + "# IMPORTANT: Replace BUCKET_NAME with the the name of your Cloud Storage bucket.\n", + "dataflow_gcs_location = \"gs://%s/dataflow\" % BUCKET_NAME\n", + "\n", + "# The Dataflow staging location. This location is used to stage the Dataflow pipeline and the SDK binary.\n", + "options.view_as(GoogleCloudOptions).staging_location = '%s/staging' % dataflow_gcs_location\n", + "\n", + "\n", + "# The Dataflow staging location. This location is used to stage the Dataflow pipeline and the SDK binary.\n", + "options.view_as(GoogleCloudOptions).staging_location = '%s/staging' % dataflow_gcs_location\n", + "\n", + "# The Dataflow temp location. This location is used to store temporary files or intermediate results before outputting to the sink.\n", + "options.view_as(GoogleCloudOptions).temp_location = '%s/temp' % dataflow_gcs_location\n", + "\n", + "options.view_as(SetupOptions).save_main_session = True\n", + "\n", + "# Launching Dataflow with only one worker might result in processing delays due to\n", + "# initial input processing. This could further postpone the side input model updates.\n", + "# To expedite the model update process, it's recommended to set num_workers>1.\n", + "# https://github.com/apache/beam/issues/28776\n", + "options.view_as(WorkerOptions).num_workers = 5" + ], + "metadata": { + "id": "wWjbnq6X-4uE" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Install the `tensorflow` and `tensorflow_hub` dependencies on Dataflow. Use the `requirements_file` pipeline option to pass these dependencies." + ], + "metadata": { + "id": "HTJV8pO2Wcw4" + } + }, + { + "cell_type": "code", + "source": [ + "# In a requirements file, define the dependencies required for the pipeline.\n", + "!printf 'tensorflow>=2.12.0\\ntensorflow_hub>=0.10.0\\nPillow>=9.0.0' > ./requirements.txt\n", + "# Install the pipeline dependencies on Dataflow.\n", + "options.view_as(SetupOptions).requirements_file = './requirements.txt'" + ], + "metadata": { + "id": "lEy4PkluWbdm" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Use the TensorFlow model handler\n", + " This example uses `TFModelHandlerTensor` as the model handler and the `resnet_101` model trained on [ImageNet](https://www.image-net.org/).\n", + "\n", + "\n", + "For DataflowRunner, the model needs to be stored remote location accessible by the Beam pipeline. So we will download `ResNet101` model and upload it to the GCS location.\n" + ], + "metadata": { + "id": "_AUNH_GJk_NE" + } + }, + { + "cell_type": "code", + "source": [ + "model = tf.keras.applications.resnet.ResNet101()\n", + "model.save('resnet101_weights_tf_dim_ordering_tf_kernels.keras')\n", + "# After saving the model locally, upload the model to GCS bucket and provide that gcs bucket `URI` as `model_uri` to the `TFModelHandler`\n", + "# Replace `BUCKET_NAME` value with actual bucket name.\n", + "!gsutil cp resnet101_weights_tf_dim_ordering_tf_kernels.keras gs:///dataflow/resnet101_weights_tf_dim_ordering_tf_kernels.keras" + ], + "metadata": { + "id": "ibkWiwVNvyrn" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "model_handler = TFModelHandlerTensor(\n", + " model_uri=dataflow_gcs_location + \"/resnet101_weights_tf_dim_ordering_tf_kernels.keras\")" + ], + "metadata": { + "id": "kkSnsxwUk-Sp" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Preprocess images\n", + "\n", + "Use `preprocess_image` to run the inference, read the image, and convert the image to a TensorFlow tensor." + ], + "metadata": { + "id": "tZH0r0sL-if5" + } + }, + { + "cell_type": "code", + "source": [ + "def preprocess_image(image_name, image_dir):\n", + " img = tf.keras.utils.get_file(image_name, image_dir + image_name)\n", + " img = Image.open(img).resize((224, 224))\n", + " img = numpy.array(img) / 255.0\n", + " img_tensor = tf.cast(tf.convert_to_tensor(img[...]), dtype=tf.float32)\n", + " return img_tensor" + ], + "metadata": { + "id": "dU5imgTt-8Ne" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "class PostProcessor(beam.DoFn):\n", + " \"\"\"Process the PredictionResult to get the predicted label.\n", + " Returns predicted label.\n", + " \"\"\"\n", + " def process(self, element: PredictionResult) -> Iterable[Tuple[str, str]]:\n", + " predicted_class = numpy.argmax(element.inference, axis=-1)\n", + " labels_path = tf.keras.utils.get_file(\n", + " 'ImageNetLabels.txt',\n", + " 'https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt' # pylint: disable=line-too-long\n", + " )\n", + " imagenet_labels = numpy.array(open(labels_path).read().splitlines())\n", + " predicted_class_name = imagenet_labels[predicted_class]\n", + " yield predicted_class_name.title(), element.model_id" + ], + "metadata": { + "id": "6V5tJxO6-gyt" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Define the pipeline object.\n", + "pipeline = beam.Pipeline(options=options)" + ], + "metadata": { + "id": "GpdKk72O_NXT" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Next, review the pipeline steps and examine the code.\n", + "\n", + "### Pipeline steps\n" + ], + "metadata": { + "id": "elZ53uxc_9Hv" + } + }, + { + "cell_type": "markdown", + "source": [ + "1. Create a `PeriodicImpulse` transform, which emits output every `n` seconds. The `PeriodicImpulse` transform generates an infinite sequence of elements with a given runtime interval.\n", + "\n", + " In this example, `PeriodicImpulse` mimics the Pub/Sub source. Because the inputs in a streaming pipeline arrive in intervals, use `PeriodicImpulse` to output elements at `m` intervals.\n", + "To learn more about `PeriodicImpulse`, see the [`PeriodicImpulse` code](https://github.com/apache/beam/blob/9c52e0594d6f0e59cd17ee005acfb41da508e0d5/sdks/python/apache_beam/transforms/periodicsequence.py#L150)." + ], + "metadata": { + "id": "305tkV2sAD-S" + } + }, + { + "cell_type": "code", + "source": [ + "start_timestamp = time.time() # start timestamp of the periodic impulse\n", + "end_timestamp = start_timestamp + 60 * 20 # end timestamp of the periodic impulse (will run for 20 minutes).\n", + "main_input_fire_interval = 60 # interval in seconds at which the main input PCollection is emitted.\n", + "side_input_fire_interval = 60 # interval in seconds at which the side input PCollection is emitted.\n", + "\n", + "periodic_impulse = (\n", + " pipeline\n", + " | \"MainInputPcoll\" >> PeriodicImpulse(\n", + " start_timestamp=start_timestamp,\n", + " stop_timestamp=end_timestamp,\n", + " fire_interval=main_input_fire_interval))" + ], + "metadata": { + "id": "vUFStz66_Tbb" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "2. To read and preprocess the images, use the `preprocess_image` function. This example uses `Cat-with-beanie.jpg` for all inferences.\n", + "\n", + " **Note**: Image used for prediction is licensed in CC-BY. The creator is listed in the [LICENSE.txt](https://storage.googleapis.com/apache-beam-samples/image_captioning/LICENSE.txt) file." + ], + "metadata": { + "id": "8-sal2rFAxP2" + } + }, + { + "cell_type": "markdown", + "source": [ + 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)" + ], + "metadata": { + "id": "gW4cE8bhXS-d" + } + }, + { + "cell_type": "code", + "source": [ + "image_data = (periodic_impulse | beam.Map(lambda x: \"Cat-with-beanie.jpg\")\n", + " | \"ReadImage\" >> beam.Map(lambda image_name: preprocess_image(\n", + " image_name=image_name, image_dir='https://storage.googleapis.com/apache-beam-samples/image_captioning/')))" + ], + "metadata": { + "id": "dGg11TpV_aV6" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "3. Pass the images to the RunInference `PTransform`. RunInference takes `model_handler` and `model_metadata_pcoll` as input parameters.\n", + " * `model_metadata_pcoll` is a side input `PCollection` to the RunInference `PTransform`. This side input is used to update the `model_uri` in the `model_handler` without needing to stop the Apache Beam pipeline\n", + " * Use `WatchFilePattern` as side input to watch a `file_pattern` matching `.keras` files. In this case, the `file_pattern` is `'gs://BUCKET_NAME/dataflow/*keras'`.\n", + "\n" + ], + "metadata": { + "id": "eB0-ewd-BCKE" + } + }, + { + "cell_type": "code", + "source": [ + " # The side input used to watch for the .keras file and update the model_uri of the TFModelHandlerTensor.\n", + "file_pattern = dataflow_gcs_location + '/*.keras'\n", + "side_input_pcoll = (\n", + " pipeline\n", + " | \"WatchFilePattern\" >> WatchFilePattern(file_pattern=file_pattern,\n", + " interval=side_input_fire_interval,\n", + " stop_timestamp=end_timestamp))\n", + "inferences = (\n", + " image_data\n", + " | \"ApplyWindowing\" >> beam.WindowInto(beam.window.FixedWindows(10))\n", + " | \"RunInference\" >> RunInference(model_handler=model_handler,\n", + " model_metadata_pcoll=side_input_pcoll))" + ], + "metadata": { + "id": "_AjvvexJ_hUq" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "4. Post-process the `PredictionResult` object.\n", + "When the inference is complete, RunInference outputs a `PredictionResult` object that contains the fields `example`, `inference`, and `model_id`. The `model_id` field identifies the model used to run the inference. The `PostProcessor` returns the predicted label and the model ID used to run the inference on the predicted label." + ], + "metadata": { + "id": "lTA4wRWNDVis" + } + }, + { + "cell_type": "code", + "source": [ + "post_processor = (\n", + " inferences\n", + " | \"PostProcessResults\" >> beam.ParDo(PostProcessor())\n", + " | \"LogResults\" >> beam.Map(logging.info))" + ], + "metadata": { + "id": "9TB76fo-_vZJ" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Watch for the model update\n", + "\n", + "After the pipeline starts processing data and when you see output emitted from the RunInference `PTransform`, upload a `resnet152` model saved in `.keras` format to a Google Cloud Storage bucket location that matches the `file_pattern` you defined earlier.\n" + ], + "metadata": { + "id": "wYp-mBHHjOjA" + } + }, + { + "cell_type": "code", + "source": [ + "model = tf.keras.applications.resnet.ResNet152()\n", + "model.save('resnet152_weights_tf_dim_ordering_tf_kernels.keras')\n", + "# Replace the `BUCKET_NAME` with the actual bucket name.\n", + "!gsutil cp resnet152_weights_tf_dim_ordering_tf_kernels.keras gs:///resnet152_weights_tf_dim_ordering_tf_kernels.keras" + ], + "metadata": { + "id": "FpUfNBSWH9Xy" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Run the pipeline\n", + "\n", + "Use the following code to run the pipeline." + ], + "metadata": { + "id": "_ty03jDnKdKR" + } + }, + { + "cell_type": "code", + "source": [ + "# Run the pipeline.\n", + "result = pipeline.run().wait_until_finish()" + ], + "metadata": { + "id": "wd0VJLeLEWBU" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file From 6f4e2852311db381a622dec3ebf26654c9372806 Mon Sep 17 00:00:00 2001 From: Yi Hu Date: Wed, 4 Oct 2023 17:52:46 -0400 Subject: [PATCH 23/32] Fix spotless on master (#28831) --- .../sdk/io/gcp/bigquery/BigQueryIOMetadata.java | 4 ++-- .../sdk/io/gcp/bigquery/BigQueryServicesImpl.java | 13 ++++++++----- 2 files changed, 10 insertions(+), 7 deletions(-) diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOMetadata.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOMetadata.java index 0b5e063c0b5b..1893418dedb3 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOMetadata.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOMetadata.java @@ -32,8 +32,8 @@ final class BigQueryIOMetadata { private @Nullable String beamWorkerId; - private BigQueryIOMetadata(@Nullable String beamJobId, @Nullable String beamJobName, - @Nullable String beamWorkerId) { + private BigQueryIOMetadata( + @Nullable String beamJobId, @Nullable String beamJobName, @Nullable String beamWorkerId) { this.beamJobId = beamJobId; this.beamJobName = beamJobName; this.beamWorkerId = beamWorkerId; diff --git a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java index 04a665ac9947..1b6cc555511d 100644 --- a/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java +++ b/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java @@ -1364,11 +1364,14 @@ public StreamAppendClient getStreamAppendClient( .setChannelsPerCpu(2) .build(); - String traceId = String.format("Dataflow:%s:%s:%s", - bqIOMetadata.getBeamJobName() == null ? options.getJobName() - : bqIOMetadata.getBeamJobName(), - bqIOMetadata.getBeamJobId() == null ? "" : bqIOMetadata.getBeamJobId(), - bqIOMetadata.getBeamWorkerId() == null ? "" : bqIOMetadata.getBeamWorkerId()); + String traceId = + String.format( + "Dataflow:%s:%s:%s", + bqIOMetadata.getBeamJobName() == null + ? options.getJobName() + : bqIOMetadata.getBeamJobName(), + bqIOMetadata.getBeamJobId() == null ? "" : bqIOMetadata.getBeamJobId(), + bqIOMetadata.getBeamWorkerId() == null ? "" : bqIOMetadata.getBeamWorkerId()); StreamWriter streamWriter = StreamWriter.newBuilder(streamName, newWriteClient) From 161cd6b1c8de9a2a68b6aaf81cc5e13f827b6f50 Mon Sep 17 00:00:00 2001 From: Yi Hu Date: Wed, 4 Oct 2023 20:18:54 -0400 Subject: [PATCH 24/32] Gradle 8 support (#28756) * Gradle 8 support * Make gradle help --scan green * Replicate defunct com.palantir.docker and docker-run plugins * Fixes * bump errorprone plugin * Fix copySdkHarnessLauncher dependency * Link to original plugin src --- buildSrc/build.gradle.kts | 17 +- .../beam/gradle/BeamDockerPlugin.groovy | 325 ++++++++++++++++++ .../beam/gradle/BeamDockerRunPlugin.groovy | 143 ++++++++ .../beam/gradle/BeamModulePlugin.groovy | 29 +- .../beam/gradle/VendorJavaPlugin.groovy | 2 +- gradle/wrapper/gradle-wrapper.jar | Bin 61624 -> 63721 bytes gradle/wrapper/gradle-wrapper.properties | 3 +- gradlew | 19 +- playground/kafka-emulator/build.gradle | 4 +- sdks/java/container/common.gradle | 2 + .../io/google-cloud-platform/build.gradle | 4 +- 11 files changed, 511 insertions(+), 37 deletions(-) create mode 100644 buildSrc/src/main/groovy/org/apache/beam/gradle/BeamDockerPlugin.groovy create mode 100644 buildSrc/src/main/groovy/org/apache/beam/gradle/BeamDockerRunPlugin.groovy diff --git a/buildSrc/build.gradle.kts b/buildSrc/build.gradle.kts index 0ca748e3eb04..968829caeb8b 100644 --- a/buildSrc/build.gradle.kts +++ b/buildSrc/build.gradle.kts @@ -44,20 +44,19 @@ dependencies { implementation("gradle.plugin.com.github.johnrengelman:shadow:7.1.1") implementation("com.github.spotbugs.snom:spotbugs-gradle-plugin:5.0.14") - runtimeOnly("com.google.protobuf:protobuf-gradle-plugin:0.8.13") // Enable proto code generation - runtimeOnly("com.github.davidmc24.gradle-avro-plugin:gradle-avro-plugin:0.16.0") // Enable Avro code generation - runtimeOnly("com.diffplug.spotless:spotless-plugin-gradle:5.6.1") // Enable a code formatting plugin - runtimeOnly("com.palantir.gradle.docker:gradle-docker:0.34.0") // Enable building Docker containers - runtimeOnly("gradle.plugin.com.dorongold.plugins:task-tree:1.5") // Adds a 'taskTree' task to print task dependency tree - runtimeOnly("gradle.plugin.com.github.johnrengelman:shadow:7.1.1") // Enable shading Java dependencies + runtimeOnly("com.google.protobuf:protobuf-gradle-plugin:0.8.13") // Enable proto code generation + runtimeOnly("com.github.davidmc24.gradle-avro-plugin:gradle-avro-plugin:0.16.0") // Enable Avro code generation + runtimeOnly("com.diffplug.spotless:spotless-plugin-gradle:5.6.1") // Enable a code formatting plugin + runtimeOnly("gradle.plugin.com.dorongold.plugins:task-tree:1.5") // Adds a 'taskTree' task to print task dependency tree + runtimeOnly("gradle.plugin.com.github.johnrengelman:shadow:7.1.1") // Enable shading Java dependencies runtimeOnly("net.linguica.gradle:maven-settings-plugin:0.5") runtimeOnly("gradle.plugin.io.pry.gradle.offline_dependencies:gradle-offline-dependencies-plugin:0.5.0") // Enable creating an offline repository - runtimeOnly("net.ltgt.gradle:gradle-errorprone-plugin:1.2.1") // Enable errorprone Java static analysis + runtimeOnly("net.ltgt.gradle:gradle-errorprone-plugin:3.1.0") // Enable errorprone Java static analysis runtimeOnly("org.ajoberstar.grgit:grgit-gradle:4.1.1") // Enable website git publish to asf-site branch - runtimeOnly("com.avast.gradle:gradle-docker-compose-plugin:0.16.12") // Enable docker compose tasks + runtimeOnly("com.avast.gradle:gradle-docker-compose-plugin:0.16.12") // Enable docker compose tasks runtimeOnly("ca.cutterslade.gradle:gradle-dependency-analyze:1.8.3") // Enable dep analysis runtimeOnly("gradle.plugin.net.ossindex:ossindex-gradle-plugin:0.4.11") // Enable dep vulnerability analysis - runtimeOnly("org.checkerframework:checkerframework-gradle-plugin:0.6.33") // Enable enhanced static checking plugin + runtimeOnly("org.checkerframework:checkerframework-gradle-plugin:0.6.33") // Enable enhanced static checking plugin } // Because buildSrc is built and tested automatically _before_ gradle diff --git a/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamDockerPlugin.groovy b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamDockerPlugin.groovy new file mode 100644 index 000000000000..442b35439cae --- /dev/null +++ b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamDockerPlugin.groovy @@ -0,0 +1,325 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * License); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.gradle + +import java.util.regex.Pattern +import org.gradle.api.GradleException +import org.gradle.api.Plugin +import org.gradle.api.Project +import org.gradle.api.Task +import org.gradle.api.file.CopySpec +import org.gradle.api.logging.LogLevel +import org.gradle.api.logging.Logger +import org.gradle.api.logging.Logging +import org.gradle.api.tasks.Copy +import org.gradle.api.tasks.Delete +import org.gradle.api.tasks.Exec + +/** + * A gradle plug-in interacting with docker. Originally replicated from + * com.palantir.docker plugin. + */ +class BeamDockerPlugin implements Plugin { + private static final Logger logger = Logging.getLogger(BeamDockerPlugin.class) + private static final Pattern LABEL_KEY_PATTERN = Pattern.compile('^[a-z0-9.-]*$') + + static class DockerExtension { + Project project + + private static final String DEFAULT_DOCKERFILE_PATH = 'Dockerfile' + String name = null + File dockerfile = null + String dockerComposeTemplate = 'docker-compose.yml.template' + String dockerComposeFile = 'docker-compose.yml' + Set dependencies = [] as Set + Set tags = [] as Set + Map namedTags = [:] + Map labels = [:] + Map buildArgs = [:] + boolean pull = false + boolean noCache = false + String network = null + boolean buildx = false + Set platform = [] as Set + boolean load = false + boolean push = false + String builder = null + + File resolvedDockerfile = null + File resolvedDockerComposeTemplate = null + File resolvedDockerComposeFile = null + + // The CopySpec defining the Docker Build Context files + final CopySpec copySpec + + DockerExtension(Project project) { + this.project = project + this.copySpec = project.copySpec() + } + + void resolvePathsAndValidate() { + if (dockerfile != null) { + resolvedDockerfile = dockerfile + } else { + resolvedDockerfile = project.file(DEFAULT_DOCKERFILE_PATH) + } + resolvedDockerComposeFile = project.file(dockerComposeFile) + resolvedDockerComposeTemplate = project.file(dockerComposeTemplate) + } + + void dependsOn(Task... args) { + this.dependencies = args as Set + } + + Set getDependencies() { + return dependencies + } + + void files(Object... files) { + copySpec.from(files) + } + + void tags(String... args) { + this.tags = args as Set + } + + Set getTags() { + return this.tags + project.getVersion().toString() + } + + Set getPlatform() { + return platform + } + + void platform(String... args) { + this.platform = args as Set + } + } + + @Override + void apply(Project project) { + DockerExtension ext = project.extensions.create('docker', DockerExtension, project) + + Delete clean = project.tasks.create('dockerClean', Delete, { + group = 'Docker' + description = 'Cleans Docker build directory.' + }) + + Copy prepare = project.tasks.create('dockerPrepare', Copy, { + group = 'Docker' + description = 'Prepares Docker build directory.' + dependsOn clean + }) + + Exec exec = project.tasks.create('docker', Exec, { + group = 'Docker' + description = 'Builds Docker image.' + dependsOn prepare + }) + + Task tag = project.tasks.create('dockerTag', { + group = 'Docker' + description = 'Applies all tags to the Docker image.' + dependsOn exec + }) + + Task pushAllTags = project.tasks.create('dockerTagsPush', { + group = 'Docker' + description = 'Pushes all tagged Docker images to configured Docker Hub.' + }) + + project.tasks.create('dockerPush', { + group = 'Docker' + description = 'Pushes named Docker image to configured Docker Hub.' + dependsOn pushAllTags + }) + + project.afterEvaluate { + ext.resolvePathsAndValidate() + String dockerDir = "${project.buildDir}/docker" + clean.delete dockerDir + + prepare.with { + with ext.copySpec + from(ext.resolvedDockerfile) { + rename { fileName -> + fileName.replace(ext.resolvedDockerfile.getName(), 'Dockerfile') + } + } + into dockerDir + } + + exec.with { + workingDir dockerDir + commandLine buildCommandLine(ext) + dependsOn ext.getDependencies() + logging.captureStandardOutput LogLevel.INFO + logging.captureStandardError LogLevel.ERROR + } + + Map tags = ext.namedTags.collectEntries { taskName, tagName -> + [ + generateTagTaskName(taskName), + [ + tagName: tagName, + tagTask: { + -> tagName } + ] + ] + } + + if (!ext.tags.isEmpty()) { + ext.tags.each { unresolvedTagName -> + String taskName = generateTagTaskName(unresolvedTagName) + + if (tags.containsKey(taskName)) { + throw new IllegalArgumentException("Task name '${taskName}' is existed.") + } + + tags[taskName] = [ + tagName: unresolvedTagName, + tagTask: { + -> computeName(ext.name, unresolvedTagName) } + ] + } + } + + tags.each { taskName, tagConfig -> + Exec tagSubTask = project.tasks.create('dockerTag' + taskName, Exec, { + group = 'Docker' + description = "Tags Docker image with tag '${tagConfig.tagName}'" + workingDir dockerDir + commandLine 'docker', 'tag', "${-> ext.name}", "${-> tagConfig.tagTask()}" + dependsOn exec + }) + tag.dependsOn tagSubTask + + Exec pushSubTask = project.tasks.create('dockerPush' + taskName, Exec, { + group = 'Docker' + description = "Pushes the Docker image with tag '${tagConfig.tagName}' to configured Docker Hub" + workingDir dockerDir + commandLine 'docker', 'push', "${-> tagConfig.tagTask()}" + dependsOn tagSubTask + }) + pushAllTags.dependsOn pushSubTask + } + } + } + + private List buildCommandLine(DockerExtension ext) { + List buildCommandLine = ['docker'] + if (ext.buildx) { + buildCommandLine.addAll(['buildx', 'build']) + if (!ext.platform.isEmpty()) { + buildCommandLine.addAll('--platform', String.join(',', ext.platform)) + } + if (ext.load) { + buildCommandLine.add '--load' + } + if (ext.push) { + buildCommandLine.add '--push' + if (ext.load) { + throw new Exception("cannot combine 'push' and 'load' options") + } + } + if (ext.builder != null) { + buildCommandLine.addAll('--builder', ext.builder) + } + } else { + buildCommandLine.add 'build' + } + if (ext.noCache) { + buildCommandLine.add '--no-cache' + } + if (ext.getNetwork() != null) { + buildCommandLine.addAll('--network', ext.network) + } + if (!ext.buildArgs.isEmpty()) { + for (Map.Entry buildArg : ext.buildArgs.entrySet()) { + buildCommandLine.addAll('--build-arg', "${buildArg.getKey()}=${buildArg.getValue()}" as String) + } + } + if (!ext.labels.isEmpty()) { + for (Map.Entry label : ext.labels.entrySet()) { + if (!label.getKey().matches(LABEL_KEY_PATTERN)) { + throw new GradleException(String.format("Docker label '%s' contains illegal characters. " + + "Label keys must only contain lowercase alphanumberic, `.`, or `-` characters (must match %s).", + label.getKey(), LABEL_KEY_PATTERN.pattern())) + } + buildCommandLine.addAll('--label', "${label.getKey()}=${label.getValue()}" as String) + } + } + if (ext.pull) { + buildCommandLine.add '--pull' + } + buildCommandLine.addAll(['-t', "${-> ext.name}", '.']) + logger.debug("${buildCommandLine}" as String) + return buildCommandLine + } + + private static String computeName(String name, String tag) { + int firstAt = tag.indexOf("@") + + String tagValue + if (firstAt > 0) { + tagValue = tag.substring(firstAt + 1, tag.length()) + } else { + tagValue = tag + } + + if (tagValue.contains(':') || tagValue.contains('/')) { + // tag with ':' or '/' -> force use the tag value + return tagValue + } else { + // tag without ':' and '/' -> replace the tag part of original name + int lastColon = name.lastIndexOf(':') + int lastSlash = name.lastIndexOf('/') + + int endIndex; + + // image_name -> this should remain + // host:port/image_name -> this should remain. + // host:port/image_name:v1 -> v1 should be replaced + if (lastColon > lastSlash) endIndex = lastColon + else endIndex = name.length() + + return name.substring(0, endIndex) + ":" + tagValue + } + } + + private static String generateTagTaskName(String name) { + String tagTaskName = name + int firstAt = name.indexOf("@") + + if (firstAt > 0) { + // Get substring of task name + tagTaskName = name.substring(0, firstAt) + } else if (firstAt == 0) { + // Task name must not be empty + throw new GradleException("Task name of docker tag '${name}' must not be empty.") + } else if (name.contains(':') || name.contains('/')) { + // Tags which with repo or name must have a task name + throw new GradleException("Docker tag '${name}' must have a task name.") + } + + StringBuffer sb = new StringBuffer(tagTaskName) + // Uppercase the first letter of task name + sb.replace(0, 1, tagTaskName.substring(0, 1).toUpperCase()); + return sb.toString() + } +} diff --git a/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamDockerRunPlugin.groovy b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamDockerRunPlugin.groovy new file mode 100644 index 000000000000..5297c7018139 --- /dev/null +++ b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamDockerRunPlugin.groovy @@ -0,0 +1,143 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * License); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.beam.gradle + +import org.gradle.api.Plugin +import org.gradle.api.Project +import org.gradle.api.tasks.Exec + +/** + * A gradle plug-in handling 'docker run' command. Originally replicated from + * com.palantir.docker-run plugin. + */ +class BeamDockerRunPlugin implements Plugin { + + /** A class defining the configurations of dockerRun task. */ + static class DockerRunExtension { + String name + String image + Set ports = [] as Set + Map env = [:] + List arguments = [] + Map volumes = [:] + boolean daemonize = true + boolean clean = false + + public String getName() { + return name + } + + public void setName(String name) { + this.name = name + } + } + + @Override + void apply(Project project) { + DockerRunExtension ext = project.extensions.create('dockerRun', DockerRunExtension) + + Exec dockerRunStatus = project.tasks.create('dockerRunStatus', Exec, { + group = 'Docker Run' + description = 'Checks the run status of the container' + }) + + Exec dockerRun = project.tasks.create('dockerRun', Exec, { + group = 'Docker Run' + description = 'Runs the specified container with port mappings' + }) + + Exec dockerStop = project.tasks.create('dockerStop', Exec, { + group = 'Docker Run' + description = 'Stops the named container if it is running' + ignoreExitValue = true + }) + + Exec dockerRemoveContainer = project.tasks.create('dockerRemoveContainer', Exec, { + group = 'Docker Run' + description = 'Removes the persistent container associated with the Docker Run tasks' + ignoreExitValue = true + }) + + project.afterEvaluate { + /** Inspect status of docker. */ + dockerRunStatus.with { + standardOutput = new ByteArrayOutputStream() + commandLine 'docker', 'inspect', '--format={{.State.Running}}', ext.name + doLast { + if (standardOutput.toString().trim() != 'true') { + println "Docker container '${ext.name}' is STOPPED." + return 1 + } else { + println "Docker container '${ext.name}' is RUNNING." + } + } + } + + /** + * Run a docker container. See {@link DockerRunExtension} for supported + * arguments. + * + * Replication of dockerRun task of com.palantir.docker-run plugin. + */ + dockerRun.with { + List args = new ArrayList() + args.addAll(['docker', 'run']) + + if (ext.daemonize) { + args.add('-d') + } + if (ext.clean) { + args.add('--rm') + } else { + finalizedBy dockerRunStatus + } + for (String port : ext.ports) { + args.add('-p') + args.add(port) + } + for (Map.Entry volume : ext.volumes.entrySet()) { + File localFile = project.file(volume.key) + + if (!localFile.exists()) { + logger.error("ERROR: Local folder ${localFile} doesn't exist. Mounted volume will not be visible to container") + throw new IllegalStateException("Local folder ${localFile} doesn't exist.") + } + args.add('-v') + args.add("${localFile.absolutePath}:${volume.value}") + } + args.addAll(ext.env.collect{ k, v -> ['-e', "${k}=${v}"]}.flatten()) + args.add('--name') + args.add(ext.name) + if (!ext.arguments.isEmpty()) { + args.addAll(ext.arguments) + } + args.add(ext.image) + + commandLine args + } + + dockerStop.with { + commandLine 'docker', 'stop', ext.name + } + + dockerRemoveContainer.with { + commandLine 'docker', 'rm', ext.name + } + } + } +} diff --git a/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy index c31482d577e0..c7a62237086e 100644 --- a/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy +++ b/buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy @@ -23,7 +23,6 @@ import static java.util.UUID.randomUUID import com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar import groovy.json.JsonOutput import groovy.json.JsonSlurper -import java.net.ServerSocket import java.util.logging.Logger import org.gradle.api.attributes.Category import org.gradle.api.GradleException @@ -1252,7 +1251,7 @@ class BeamModulePlugin implements Plugin { if (configuration.shadowClosure) { // Ensure that tests are packaged and part of the artifact set. project.task('packageTests', type: Jar) { - classifier = 'tests-unshaded' + archiveClassifier = 'tests-unshaded' from project.sourceSets.test.output } project.artifacts.archives project.packageTests @@ -1560,13 +1559,13 @@ class BeamModulePlugin implements Plugin { } } - // Always configure the shadowJar classifier and merge service files. + // Always configure the shadowJar archiveClassifier and merge service files. if (configuration.shadowClosure) { // Only set the classifer on the unshaded classes if we are shading. - project.jar { classifier = "unshaded" } + project.jar { archiveClassifier = "unshaded" } project.shadowJar({ - classifier = null + archiveClassifier = null mergeServiceFiles() zip64 true into("META-INF/") { @@ -1575,11 +1574,11 @@ class BeamModulePlugin implements Plugin { } } << configuration.shadowClosure) - // Always configure the shadowTestJar classifier and merge service files. + // Always configure the shadowTestJar archiveClassifier and merge service files. project.task('shadowTestJar', type: ShadowJar, { group = "Shadow" description = "Create a combined JAR of project and test dependencies" - classifier = "tests" + archiveClassifier = "tests" from project.sourceSets.test.output configurations = [ project.configurations.testRuntimeMigration @@ -1639,7 +1638,7 @@ class BeamModulePlugin implements Plugin { project.tasks.register("testJar", Jar) { group = "Jar" description = "Create a JAR of test classes" - classifier = "tests" + archiveClassifier = "tests" from project.sourceSets.test.output zip64 true exclude "META-INF/INDEX.LIST" @@ -1794,18 +1793,18 @@ class BeamModulePlugin implements Plugin { project.task('sourcesJar', type: Jar) { from project.sourceSets.main.allSource - classifier = 'sources' + archiveClassifier = 'sources' } project.artifacts.archives project.sourcesJar project.task('testSourcesJar', type: Jar) { from project.sourceSets.test.allSource - classifier = 'test-sources' + archiveClassifier = 'test-sources' } project.artifacts.archives project.testSourcesJar project.task('javadocJar', type: Jar, dependsOn: project.javadoc) { - classifier = 'javadoc' + archiveClassifier = 'javadoc' from project.javadoc.destinationDir } project.artifacts.archives project.javadocJar @@ -1915,8 +1914,8 @@ class BeamModulePlugin implements Plugin { def dependencyNode = dependenciesNode.appendNode('dependency') def appendClassifier = { dep -> dep.artifacts.each { art -> - if (art.hasProperty('classifier')) { - dependencyNode.appendNode('classifier', art.classifier) + if (art.hasProperty('archiveClassifier')) { + dependencyNode.appendNode('archiveClassifier', art.archiveClassifier) } } } @@ -2210,7 +2209,7 @@ class BeamModulePlugin implements Plugin { /** ***********************************************************************************************/ project.ext.applyDockerNature = { - project.apply plugin: "com.palantir.docker" + project.apply plugin: BeamDockerPlugin project.docker { noCache true } project.tasks.create(name: "copyLicenses", type: Copy) { from "${project.rootProject.projectDir}/LICENSE" @@ -2222,7 +2221,7 @@ class BeamModulePlugin implements Plugin { } project.ext.applyDockerRunNature = { - project.apply plugin: "com.palantir.docker-run" + project.apply plugin: BeamDockerRunPlugin } /** ***********************************************************************************************/ diff --git a/buildSrc/src/main/groovy/org/apache/beam/gradle/VendorJavaPlugin.groovy b/buildSrc/src/main/groovy/org/apache/beam/gradle/VendorJavaPlugin.groovy index 061ccf27cce2..97d96e6cf1eb 100644 --- a/buildSrc/src/main/groovy/org/apache/beam/gradle/VendorJavaPlugin.groovy +++ b/buildSrc/src/main/groovy/org/apache/beam/gradle/VendorJavaPlugin.groovy @@ -126,7 +126,7 @@ artifactId=${project.name} } config.exclusions.each { exclude it } - classifier = null + archiveClassifier = null mergeServiceFiles() zip64 true exclude "META-INF/INDEX.LIST" diff --git a/gradle/wrapper/gradle-wrapper.jar b/gradle/wrapper/gradle-wrapper.jar index afba109285af78dbd2a1d187e33ac4f87c76e392..7f93135c49b765f8051ef9d0a6055ff8e46073d8 100644 GIT binary patch delta 41204 zcmZ5{b95%((seSiZQHhO+qRP@<}68$AGx`lh~)fFsaj;MiX97^(}w;JdeIg_EK=f{qUxfgB1;VggKi&SA9v8P52JERa$mc|$lmVvfx{qi69Qt` z*fZ)^M2W{1fVoSt`s`K{cHR_Ov(<|-{;q0kYpPXc^iz@|EJ@}9Rkl^$`6gZKo4=jl zD2P(#uTcD*y0DWmpF`Dtw^s9E&tgueEt9jYdg)|4^CH zb}H5tkozJO-=TYiQxbjRT%6PCU;JFRQPXAQ>rlRozg33`4{|4|Q{K 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zjEPv0uKzItJm-Y1-vVqt)1L&smgE%s|AdVHd#%3#mBHZ(I$8hy7jqFodN%we=5$_OH?1pr)xVU}IPI yj0UWUF)R%my@1!S$bUKvYaRfLU@!o{#`z)o2tshY /dev/null && pwd -P ) || exit # Use the maximum available, or set MAX_FD != -1 to use that value. MAX_FD=maximum @@ -133,10 +131,13 @@ location of your Java installation." fi else JAVACMD=java - which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. + if ! command -v java >/dev/null 2>&1 + then + die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. Please set the JAVA_HOME variable in your environment to match the location of your Java installation." + fi fi # Increase the maximum file descriptors if we can. @@ -144,7 +145,7 @@ if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then case $MAX_FD in #( max*) # In POSIX sh, ulimit -H is undefined. That's why the result is checked to see if it worked. - # shellcheck disable=SC3045 + # shellcheck disable=SC3045 MAX_FD=$( ulimit -H -n ) || warn "Could not query maximum file descriptor limit" esac @@ -152,7 +153,7 @@ if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then '' | soft) :;; #( *) # In POSIX sh, ulimit -n is undefined. That's why the result is checked to see if it worked. - # shellcheck disable=SC3045 + # shellcheck disable=SC3045 ulimit -n "$MAX_FD" || warn "Could not set maximum file descriptor limit to $MAX_FD" esac @@ -197,6 +198,10 @@ if "$cygwin" || "$msys" ; then done fi + +# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"' + # Collect all arguments for the java command; # * $DEFAULT_JVM_OPTS, $JAVA_OPTS, and $GRADLE_OPTS can contain fragments of # shell script including quotes and variable substitutions, so put them in diff --git a/playground/kafka-emulator/build.gradle b/playground/kafka-emulator/build.gradle index 486a232f9b99..2d3f70aa9883 100644 --- a/playground/kafka-emulator/build.gradle +++ b/playground/kafka-emulator/build.gradle @@ -24,11 +24,11 @@ plugins { applyJavaNature(exportJavadoc: false, publish: false) distZip { - archiveName "${baseName}.zip" + archiveFileName = "${archiveBaseName}.zip" } distTar { - archiveName "${baseName}.tar" + archiveFileName = "${archiveBaseName}.tar" } dependencies { diff --git a/sdks/java/container/common.gradle b/sdks/java/container/common.gradle index bf4c122ca91f..cc427494ed6e 100644 --- a/sdks/java/container/common.gradle +++ b/sdks/java/container/common.gradle @@ -63,6 +63,8 @@ task copyDockerfileDependencies(type: Copy) { task copySdkHarnessLauncher(type: Copy) { dependsOn ":sdks:java:container:downloadCloudProfilerAgent" + // if licenses are required, they should be present before this task run. + mustRunAfter ":sdks:java:container:pullLicenses" from configurations.sdkHarnessLauncher into "build/target" diff --git a/sdks/java/io/google-cloud-platform/build.gradle b/sdks/java/io/google-cloud-platform/build.gradle index efc9ff3db9c6..c4a508680186 100644 --- a/sdks/java/io/google-cloud-platform/build.gradle +++ b/sdks/java/io/google-cloud-platform/build.gradle @@ -307,8 +307,8 @@ task spannerCodeCoverageReport(type: JacocoReport, dependsOn: test) { sourceDirectories.setFrom(files(project.sourceSets.main.allSource.srcDirs)) executionData.setFrom(file("${buildDir}/jacoco/test.exec")) reports { - html.enabled true - html.destination file("${buildDir}/reports/jacoco/spanner/") + html.getRequired().set(true) + html.getOutputLocation().set(file("${buildDir}/reports/jacoco/spanner/")) } } From 0b938306d135bbaadb3123daf0455f67baee4a9a Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 5 Oct 2023 09:42:10 -0400 Subject: [PATCH 25/32] Bump cloud.google.com/go/spanner from 1.49.0 to 1.50.0 in /sdks (#28838) Bumps [cloud.google.com/go/spanner](https://github.com/googleapis/google-cloud-go) from 1.49.0 to 1.50.0. - [Release notes](https://github.com/googleapis/google-cloud-go/releases) - [Changelog](https://github.com/googleapis/google-cloud-go/blob/main/CHANGES.md) - [Commits](https://github.com/googleapis/google-cloud-go/compare/spanner/v1.49.0...spanner/v1.50.0) --- updated-dependencies: - dependency-name: cloud.google.com/go/spanner dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- sdks/go.mod | 2 +- sdks/go.sum | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/sdks/go.mod b/sdks/go.mod index e17427227eba..89f119a54908 100644 --- a/sdks/go.mod +++ b/sdks/go.mod @@ -28,7 +28,7 @@ require ( cloud.google.com/go/datastore v1.14.0 cloud.google.com/go/profiler v0.3.1 cloud.google.com/go/pubsub v1.33.0 - cloud.google.com/go/spanner v1.49.0 + cloud.google.com/go/spanner v1.50.0 cloud.google.com/go/storage v1.33.0 github.com/aws/aws-sdk-go-v2 v1.21.0 github.com/aws/aws-sdk-go-v2/config v1.18.43 diff --git a/sdks/go.sum b/sdks/go.sum index 71c1c4545c89..582f3d69f88e 100644 --- a/sdks/go.sum +++ b/sdks/go.sum @@ -38,8 +38,8 @@ cloud.google.com/go/pubsub v1.1.0/go.mod h1:EwwdRX2sKPjnvnqCa270oGRyludottCI76h+ cloud.google.com/go/pubsub v1.2.0/go.mod h1:jhfEVHT8odbXTkndysNHCcx0awwzvfOlguIAii9o8iA= cloud.google.com/go/pubsub v1.33.0 h1:6SPCPvWav64tj0sVX/+npCBKhUi/UjJehy9op/V3p2g= cloud.google.com/go/pubsub v1.33.0/go.mod h1:f+w71I33OMyxf9VpMVcZbnG5KSUkCOUHYpFd5U1GdRc= -cloud.google.com/go/spanner v1.49.0 h1:+HY8C4uztU7XyLz3xMi/LCXdetLEOExhvRFJu2NiVXM= -cloud.google.com/go/spanner v1.49.0/go.mod h1:eGj9mQGK8+hkgSVbHNQ06pQ4oS+cyc4tXXd6Dif1KoM= +cloud.google.com/go/spanner v1.50.0 h1:QrJFOpaxCXdXF+GkiruLz642PHxkdj68PbbnLw3O2Zw= +cloud.google.com/go/spanner v1.50.0/go.mod h1:eGj9mQGK8+hkgSVbHNQ06pQ4oS+cyc4tXXd6Dif1KoM= cloud.google.com/go/storage v1.0.0/go.mod h1:IhtSnM/ZTZV8YYJWCY8RULGVqBDmpoyjwiyrjsg+URw= cloud.google.com/go/storage v1.5.0/go.mod h1:tpKbwo567HUNpVclU5sGELwQWBDZ8gh0ZeosJ0Rtdos= cloud.google.com/go/storage v1.6.0/go.mod h1:N7U0C8pVQ/+NIKOBQyamJIeKQKkZ+mxpohlUTyfDhBk= From c89d44df1302464d85feffa5fe54474c8652b6ec Mon Sep 17 00:00:00 2001 From: Yi Hu Date: Thu, 5 Oct 2023 10:12:36 -0400 Subject: [PATCH 26/32] Fix whitespace precommit after gradle 8 (#28845) --- sdks/python/test-suites/tox/py38/build.gradle | 2 ++ 1 file changed, 2 insertions(+) diff --git a/sdks/python/test-suites/tox/py38/build.gradle b/sdks/python/test-suites/tox/py38/build.gradle index 208a1d9d39ca..bc4aa99c79b4 100644 --- a/sdks/python/test-suites/tox/py38/build.gradle +++ b/sdks/python/test-suites/tox/py38/build.gradle @@ -153,6 +153,8 @@ task archiveFilesToLint(type: Zip) { include "**/*.md" include "**/build.gradle" include '**/build.gradle.kts' + exclude '**/build/**' // intermediate build directory + exclude 'website/www/site/themes/docsy/**' // fork to google/docsy exclude "**/node_modules/*" exclude "**/.gogradle/*" } From af491ebe33c8d9544df8a10e7def68cb8549a920 Mon Sep 17 00:00:00 2001 From: Svetak Sundhar Date: Thu, 5 Oct 2023 14:27:12 +0000 Subject: [PATCH 27/32] [Fix] Broken Link in Colab Notebook (#28837) * Create HealthcareUtils file with shared resources * revert * Fix Broken Link --- examples/notebooks/healthcare/beam_nlp.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/notebooks/healthcare/beam_nlp.ipynb b/examples/notebooks/healthcare/beam_nlp.ipynb index 5106aaa607d9..4ba4a5e0a739 100644 --- a/examples/notebooks/healthcare/beam_nlp.ipynb +++ b/examples/notebooks/healthcare/beam_nlp.ipynb @@ -146,7 +146,7 @@ { "cell_type": "markdown", "source": [ - "Then, download [this raw CSV file](https://https://github.com/socd06/medical-nlp/blob/master/data/test.csv), and then upload it into Colab. You should be able to view this file (*test.csv*) in the \"Files\" tab in Colab after uploading." + "Then, download [this raw CSV file](https://github.com/socd06/medical-nlp/blob/master/data/test.csv), and then upload it into Colab. You should be able to view this file (*test.csv*) in the \"Files\" tab in Colab after uploading." ], "metadata": { "id": "1IArtEm8QuCR" From 5446776d00f6d3970ff859c38e26343274413c57 Mon Sep 17 00:00:00 2001 From: Anand Inguva <34158215+AnandInguva@users.noreply.github.com> Date: Thu, 5 Oct 2023 11:50:02 -0400 Subject: [PATCH 28/32] Support for custom MetricsFetcher in Perf tooling. (#28671) * Support for custom BigQueryMetricsFetcher * Read GITHUB repo and owner name from environment variables * Add test_name, test_id * Move client to the fetch method * Update skip condition * Run on self hosted runner * Update readme * Update README * Pass test_name to the metrics_fetcher * Fix linting issues * Fix lint * Fix formatting and lint issues * fix lint --- .github/workflows/run_perf_alert_tool.yml | 2 +- .../apache_beam/testing/analyzers/README.md | 54 +++++++-- .../testing/analyzers/github_issues_utils.py | 34 +++--- .../testing/analyzers/perf_analysis.py | 55 +++++---- .../testing/analyzers/perf_analysis_test.py | 41 +++---- .../testing/analyzers/perf_analysis_utils.py | 104 +++++++++++------- .../testing/analyzers/tests_config.yaml | 2 +- .../load_tests/load_test_metrics_utils.py | 11 -- 8 files changed, 183 insertions(+), 120 deletions(-) diff --git a/.github/workflows/run_perf_alert_tool.yml b/.github/workflows/run_perf_alert_tool.yml index 6946011f0617..1bd8d525c2fb 100644 --- a/.github/workflows/run_perf_alert_tool.yml +++ b/.github/workflows/run_perf_alert_tool.yml @@ -30,7 +30,7 @@ on: jobs: python_run_change_point_analysis: name: Run Change Point Analysis. - runs-on: ubuntu-latest + runs-on: [self-hosted, ubuntu-20.04, main] permissions: issues: write steps: diff --git a/sdks/python/apache_beam/testing/analyzers/README.md b/sdks/python/apache_beam/testing/analyzers/README.md index 076f173f9d71..91b21076f88a 100644 --- a/sdks/python/apache_beam/testing/analyzers/README.md +++ b/sdks/python/apache_beam/testing/analyzers/README.md @@ -35,16 +35,13 @@ update already created GitHub issue or ignore performance alert by not creating ## Config file structure -The config file defines the structure to run change point analysis on a given test. To add a test to the config file, +The yaml defines the structure to run change point analysis on a given test. To add a test config to the yaml file, please follow the below structure. -**NOTE**: The Change point analysis only supports reading the metric data from Big Query for now. +**NOTE**: The Change point analysis only supports reading the metric data from `BigQuery` only. ``` -# the test_1 must be a unique id. -test_1: - test_description: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 - test_target: apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks +test_1: # a unique id for each test config. metrics_dataset: beam_run_inference metrics_table: torch_inference_imagenet_results_resnet152 project: apache-beam-testing @@ -55,11 +52,17 @@ test_1: num_runs_in_change_point_window: 30 # optional parameter ``` -**NOTE**: `test_target` is optional. It is used for identifying the test that was causing the regression. +#### Optional Parameters: -**Note**: By default, the tool fetches metrics from BigQuery tables. `metrics_dataset`, `metrics_table`, `project` and `metric_name` should match with the values defined for performance/load tests. -The above example uses this [test configuration](https://github.com/apache/beam/blob/0a91d139dea4276dc46176c4cdcdfce210fc50c4/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy#L30) -to fill up the values required to fetch the data from source. +These are the optional parameters that can be added to the test config in addition to the parameters mentioned above. + +- `test_target`: Identifies the test responsible for the regression. + +- `test_description`: Provides a brief overview of the test's function. + +- `test_name`: Denotes the name of the test as stored in the BigQuery table. + +**Note**: The tool, by default, pulls metrics from BigQuery tables. Ensure that the values for `metrics_dataset`, `metrics_table`, `project`, and `metric_name` align with those defined for performance/load tests. The provided example utilizes this [test configuration](https://github.com/apache/beam/blob/0a91d139dea4276dc46176c4cdcdfce210fc50c4/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy#L30) to populate the necessary values for data retrieval. ### Different ways to avoid false positive change points @@ -76,8 +79,35 @@ setting `num_runs_in_change_point_window=7` will achieve it. ## Register a test for performance alerts -If a new test needs to be registered for the performance alerting tool, please add the required test parameters to the -config file. +If a new test needs to be registered for the performance alerting tool, + +- You can either add it to the config file that is already present. +- You can define your own yaml file and call the [perf_analysis.run()](https://github.com/apache/beam/blob/a46bc12a256dcaa3ae2cc9e5d6fdcaa82b59738b/sdks/python/apache_beam/testing/analyzers/perf_analysis.py#L152) method. + + +## Integrating the Perf Alert Tool with a Custom BigQuery Schema + +By default, the Perf Alert Tool retrieves metrics from the `apache-beam-testing` BigQuery projects. All performance and load tests within Beam utilize a standard [schema](https://github.com/apache/beam/blob/a7e12db9b5977c4a7b13554605c0300389a3d6da/sdks/python/apache_beam/testing/load_tests/load_test_metrics_utils.py#L70) for metrics publication. The tool inherently recognizes and operates with this schema when extracting metrics from BigQuery tables. + +To fetch the data from a BigQuery dataset that is not a default setting of the Apache Beam's setting, One can inherit the `MetricsFetcher` class and implement the abstract method `fetch_metric_data`. This method should return a tuple of desired metric values and timestamps of the metric values of when it was published. + +``` +from apache_beam.testing.analyzers import perf_analysis +config_file_path = +my_metric_fetcher = MyMetricsFetcher() # inherited from MetricsFetcher +perf_analysis.run(config_file_path, my_metrics_fetcher) +``` + +``Note``: The metrics and timestamps should be sorted based on the timestamps values in ascending order. + +### Configuring GitHub Parameters + +Out of the box, the performance alert tool targets the `apache/beam` repository when raising issues. If you wish to utilize this tool for another repository, you'll need to pre-set a couple of environment variables: + +- `REPO_OWNER`: Represents the owner of the repository. (e.g., `apache`) +- `REPO_NAME`: Specifies the repository name itself. (e.g., `beam`) + +Before initiating the tool, also ensure that the `GITHUB_TOKEN` is set to an authenticated GitHub token. This permits the tool to generate GitHub issues whenever performance alerts arise. ## Triage performance alert issues diff --git a/sdks/python/apache_beam/testing/analyzers/github_issues_utils.py b/sdks/python/apache_beam/testing/analyzers/github_issues_utils.py index e1f20baa50a6..82758be8f180 100644 --- a/sdks/python/apache_beam/testing/analyzers/github_issues_utils.py +++ b/sdks/python/apache_beam/testing/analyzers/github_issues_utils.py @@ -34,8 +34,8 @@ 'A Github Personal Access token is required ' 'to create Github Issues.') -_BEAM_GITHUB_REPO_OWNER = 'apache' -_BEAM_GITHUB_REPO_NAME = 'beam' +_GITHUB_REPO_OWNER = os.environ.get('REPO_OWNER', 'apache') +_GITHUB_REPO_NAME = os.environ.get('REPO_NAME', 'beam') # Adding GitHub Rest API version to the header to maintain version stability. # For more information, please look at # https://github.blog/2022-11-28-to-infinity-and-beyond-enabling-the-future-of-githubs-rest-api-with-api-versioning/ # pylint: disable=line-too-long @@ -77,10 +77,10 @@ def create_issue( Tuple containing GitHub issue number and issue URL. """ url = "https://api.github.com/repos/{}/{}/issues".format( - _BEAM_GITHUB_REPO_OWNER, _BEAM_GITHUB_REPO_NAME) + _GITHUB_REPO_OWNER, _GITHUB_REPO_NAME) data = { - 'owner': _BEAM_GITHUB_REPO_OWNER, - 'repo': _BEAM_GITHUB_REPO_NAME, + 'owner': _GITHUB_REPO_OWNER, + 'repo': _GITHUB_REPO_NAME, 'title': title, 'body': description, 'labels': [_AWAITING_TRIAGE_LABEL, _PERF_ALERT_LABEL] @@ -108,20 +108,20 @@ def comment_on_issue(issue_number: int, issue, and the comment URL. """ url = 'https://api.github.com/repos/{}/{}/issues/{}'.format( - _BEAM_GITHUB_REPO_OWNER, _BEAM_GITHUB_REPO_NAME, issue_number) + _GITHUB_REPO_OWNER, _GITHUB_REPO_NAME, issue_number) open_issue_response = requests.get( url, json.dumps({ - 'owner': _BEAM_GITHUB_REPO_OWNER, - 'repo': _BEAM_GITHUB_REPO_NAME, + 'owner': _GITHUB_REPO_OWNER, + 'repo': _GITHUB_REPO_NAME, 'issue_number': issue_number }, default=str), headers=_HEADERS).json() if open_issue_response['state'] == 'open': data = { - 'owner': _BEAM_GITHUB_REPO_OWNER, - 'repo': _BEAM_GITHUB_REPO_NAME, + 'owner': _GITHUB_REPO_OWNER, + 'repo': _GITHUB_REPO_NAME, 'body': comment_description, issue_number: issue_number, } @@ -134,13 +134,14 @@ def comment_on_issue(issue_number: int, def add_awaiting_triage_label(issue_number: int): url = 'https://api.github.com/repos/{}/{}/issues/{}/labels'.format( - _BEAM_GITHUB_REPO_OWNER, _BEAM_GITHUB_REPO_NAME, issue_number) + _GITHUB_REPO_OWNER, _GITHUB_REPO_NAME, issue_number) requests.post( url, json.dumps({'labels': [_AWAITING_TRIAGE_LABEL]}), headers=_HEADERS) def get_issue_description( - test_name: str, + test_id: str, + test_name: Optional[str], metric_name: str, timestamps: List[pd.Timestamp], metric_values: List, @@ -167,10 +168,13 @@ def get_issue_description( description = [] - description.append(_ISSUE_DESCRIPTION_TEMPLATE.format(test_name, metric_name)) + description.append(_ISSUE_DESCRIPTION_TEMPLATE.format(test_id, metric_name)) - description.append(("`Test description:` " + - f'{test_description}') if test_description else '') + if test_name: + description.append(("`test_name:` " + f'{test_name}')) + + if test_description: + description.append(("`Test description:` " + f'{test_description}')) description.append('```') diff --git a/sdks/python/apache_beam/testing/analyzers/perf_analysis.py b/sdks/python/apache_beam/testing/analyzers/perf_analysis.py index 7f1ffbb944e9..c86ecb2c4e20 100644 --- a/sdks/python/apache_beam/testing/analyzers/perf_analysis.py +++ b/sdks/python/apache_beam/testing/analyzers/perf_analysis.py @@ -23,7 +23,6 @@ import argparse import logging import os -import uuid from datetime import datetime from datetime import timezone from typing import Any @@ -33,9 +32,10 @@ import pandas as pd from apache_beam.testing.analyzers import constants +from apache_beam.testing.analyzers.perf_analysis_utils import BigQueryMetricsFetcher from apache_beam.testing.analyzers.perf_analysis_utils import GitHubIssueMetaData +from apache_beam.testing.analyzers.perf_analysis_utils import MetricsFetcher from apache_beam.testing.analyzers.perf_analysis_utils import create_performance_alert -from apache_beam.testing.analyzers.perf_analysis_utils import fetch_metric_data from apache_beam.testing.analyzers.perf_analysis_utils import find_latest_change_point_index from apache_beam.testing.analyzers.perf_analysis_utils import get_existing_issues_data from apache_beam.testing.analyzers.perf_analysis_utils import is_change_point_in_valid_window @@ -43,10 +43,10 @@ from apache_beam.testing.analyzers.perf_analysis_utils import publish_issue_metadata_to_big_query from apache_beam.testing.analyzers.perf_analysis_utils import read_test_config from apache_beam.testing.analyzers.perf_analysis_utils import validate_config -from apache_beam.testing.load_tests.load_test_metrics_utils import BigQueryMetricsFetcher -def run_change_point_analysis(params, test_name, big_query_metrics_fetcher): +def run_change_point_analysis( + params, test_id, big_query_metrics_fetcher: MetricsFetcher): """ Args: params: Dict containing parameters to run change point analysis. @@ -56,14 +56,21 @@ def run_change_point_analysis(params, test_name, big_query_metrics_fetcher): Returns: bool indicating if a change point is observed and alerted on GitHub. """ - logging.info("Running change point analysis for test %s" % test_name) + logging.info("Running change point analysis for test ID %s" % test_id) if not validate_config(params.keys()): raise ValueError( f"Please make sure all these keys {constants._PERF_TEST_KEYS} " - f"are specified for the {test_name}") + f"are specified for the {test_id}") metric_name = params['metric_name'] + # test_name will be used to query a single test from + # multiple tests in a single BQ table. Right now, the default + # assumption is that all the test have an individual BQ table + # but this might not be case for other tests(such as IO tests where + # a single BQ tables stores all the data) + test_name = params.get('test_name', None) + min_runs_between_change_points = ( constants._DEFAULT_MIN_RUNS_BETWEEN_CHANGE_POINTS) if 'min_runs_between_change_points' in params: @@ -74,15 +81,18 @@ def run_change_point_analysis(params, test_name, big_query_metrics_fetcher): if 'num_runs_in_change_point_window' in params: num_runs_in_change_point_window = params['num_runs_in_change_point_window'] - metric_values, timestamps = fetch_metric_data( - params=params, - big_query_metrics_fetcher=big_query_metrics_fetcher + metric_values, timestamps = big_query_metrics_fetcher.fetch_metric_data( + project=params['project'], + metrics_dataset=params['metrics_dataset'], + metrics_table=params['metrics_table'], + metric_name=params['metric_name'], + test_name=test_name ) change_point_index = find_latest_change_point_index( metric_values=metric_values) if not change_point_index: - logging.info("Change point is not detected for the test %s" % test_name) + logging.info("Change point is not detected for the test ID %s" % test_id) return False # since timestamps are ordered in ascending order and # num_runs_in_change_point_window refers to the latest runs, @@ -92,11 +102,11 @@ def run_change_point_analysis(params, test_name, big_query_metrics_fetcher): if not is_change_point_in_valid_window(num_runs_in_change_point_window, latest_change_point_run): logging.info( - 'Performance regression/improvement found for the test: %s. ' + 'Performance regression/improvement found for the test ID: %s. ' 'on metric %s. Since the change point run %s ' 'lies outside the num_runs_in_change_point_window distance: %s, ' 'alert is not raised.' % ( - test_name, + test_id, metric_name, latest_change_point_run + 1, num_runs_in_change_point_window)) @@ -106,8 +116,7 @@ def run_change_point_analysis(params, test_name, big_query_metrics_fetcher): last_reported_issue_number = None issue_metadata_table_name = f'{params.get("metrics_table")}_{metric_name}' existing_issue_data = get_existing_issues_data( - table_name=issue_metadata_table_name, - big_query_metrics_fetcher=big_query_metrics_fetcher) + table_name=issue_metadata_table_name) if existing_issue_data is not None: existing_issue_timestamps = existing_issue_data[ @@ -124,20 +133,21 @@ def run_change_point_analysis(params, test_name, big_query_metrics_fetcher): min_runs_between_change_points=min_runs_between_change_points) if is_alert: issue_number, issue_url = create_performance_alert( - metric_name, test_name, timestamps, + metric_name, test_id, timestamps, metric_values, change_point_index, params.get('labels', None), last_reported_issue_number, test_description = params.get('test_description', None), + test_name = test_name ) issue_metadata = GitHubIssueMetaData( issue_timestamp=pd.Timestamp( datetime.now().replace(tzinfo=timezone.utc)), # BQ doesn't allow '.' in table name - test_name=test_name.replace('.', '_'), + test_id=test_id.replace('.', '_'), + test_name=test_name, metric_name=metric_name, - test_id=uuid.uuid4().hex, change_point=metric_values[change_point_index], issue_number=issue_number, issue_url=issue_url, @@ -149,7 +159,10 @@ def run_change_point_analysis(params, test_name, big_query_metrics_fetcher): return is_alert -def run(config_file_path: Optional[str] = None) -> None: +def run( + big_query_metrics_fetcher: MetricsFetcher = BigQueryMetricsFetcher(), + config_file_path: Optional[str] = None, +) -> None: """ run is the entry point to run change point analysis on test metric data, which is read from config file, and if there is a performance @@ -169,12 +182,10 @@ def run(config_file_path: Optional[str] = None) -> None: tests_config: Dict[str, Dict[str, Any]] = read_test_config(config_file_path) - big_query_metrics_fetcher = BigQueryMetricsFetcher() - - for test_name, params in tests_config.items(): + for test_id, params in tests_config.items(): run_change_point_analysis( params=params, - test_name=test_name, + test_id=test_id, big_query_metrics_fetcher=big_query_metrics_fetcher) diff --git a/sdks/python/apache_beam/testing/analyzers/perf_analysis_test.py b/sdks/python/apache_beam/testing/analyzers/perf_analysis_test.py index 094cd9c47ec0..9c7921300d9d 100644 --- a/sdks/python/apache_beam/testing/analyzers/perf_analysis_test.py +++ b/sdks/python/apache_beam/testing/analyzers/perf_analysis_test.py @@ -32,6 +32,7 @@ from apache_beam.io.filesystems import FileSystems from apache_beam.testing.analyzers import constants from apache_beam.testing.analyzers import github_issues_utils + from apache_beam.testing.analyzers.perf_analysis_utils import BigQueryMetricsFetcher from apache_beam.testing.analyzers.perf_analysis_utils import is_change_point_in_valid_window from apache_beam.testing.analyzers.perf_analysis_utils import is_perf_alert from apache_beam.testing.analyzers.perf_analysis_utils import e_divisive @@ -41,18 +42,18 @@ from apache_beam.testing.analyzers.perf_analysis_utils import validate_config from apache_beam.testing.load_tests import load_test_metrics_utils except ImportError as e: - analysis = None # type: ignore + raise unittest.SkipTest('Missing dependencies to run perf analysis tests.') # mock methods. -def get_fake_data_with_no_change_point(**kwargs): +def get_fake_data_with_no_change_point(*args, **kwargs): num_samples = 20 metric_values = [1] * num_samples timestamps = list(range(num_samples)) return metric_values, timestamps -def get_fake_data_with_change_point(**kwargs): +def get_fake_data_with_change_point(*args, **kwargs): # change point will be at index 13. num_samples = 20 metric_values = [0] * 12 + [3] + [4] * 7 @@ -69,10 +70,6 @@ def get_existing_issue_data(**kwargs): }]) -@unittest.skipIf( - analysis is None, - 'Missing dependencies. ' - 'Test dependencies are missing for the Analyzer.') class TestChangePointAnalysis(unittest.TestCase): def setUp(self) -> None: self.single_change_point_series = [0] * 10 + [1] * 10 @@ -151,18 +148,20 @@ def test_duplicate_change_points_are_not_valid_alerts(self): min_runs_between_change_points=min_runs_between_change_points) self.assertFalse(is_alert) - @mock.patch( - 'apache_beam.testing.analyzers.perf_analysis.fetch_metric_data', + @mock.patch.object( + BigQueryMetricsFetcher, + 'fetch_metric_data', get_fake_data_with_no_change_point) def test_no_alerts_when_no_change_points(self): is_alert = analysis.run_change_point_analysis( params=self.params, - test_name=self.test_id, - big_query_metrics_fetcher=None) + test_id=self.test_id, + big_query_metrics_fetcher=BigQueryMetricsFetcher()) self.assertFalse(is_alert) - @mock.patch( - 'apache_beam.testing.analyzers.perf_analysis.fetch_metric_data', + @mock.patch.object( + BigQueryMetricsFetcher, + 'fetch_metric_data', get_fake_data_with_change_point) @mock.patch( 'apache_beam.testing.analyzers.perf_analysis.get_existing_issues_data', @@ -178,12 +177,13 @@ def test_no_alerts_when_no_change_points(self): def test_alert_on_data_with_change_point(self, *args): is_alert = analysis.run_change_point_analysis( params=self.params, - test_name=self.test_id, - big_query_metrics_fetcher=None) + test_id=self.test_id, + big_query_metrics_fetcher=BigQueryMetricsFetcher()) self.assertTrue(is_alert) - @mock.patch( - 'apache_beam.testing.analyzers.perf_analysis.fetch_metric_data', + @mock.patch.object( + BigQueryMetricsFetcher, + 'fetch_metric_data', get_fake_data_with_change_point) @mock.patch( 'apache_beam.testing.analyzers.perf_analysis.get_existing_issues_data', @@ -198,8 +198,8 @@ def test_alert_on_data_with_change_point(self, *args): def test_alert_on_data_with_reported_change_point(self, *args): is_alert = analysis.run_change_point_analysis( params=self.params, - test_name=self.test_id, - big_query_metrics_fetcher=None) + test_id=self.test_id, + big_query_metrics_fetcher=BigQueryMetricsFetcher()) self.assertFalse(is_alert) def test_change_point_has_anomaly_marker_in_gh_description(self): @@ -208,7 +208,8 @@ def test_change_point_has_anomaly_marker_in_gh_description(self): change_point_index = find_latest_change_point_index(metric_values) description = github_issues_utils.get_issue_description( - test_name=self.test_id, + test_id=self.test_id, + test_name=self.params.get('test_name', None), test_description=self.params['test_description'], metric_name=self.params['metric_name'], metric_values=metric_values, diff --git a/sdks/python/apache_beam/testing/analyzers/perf_analysis_utils.py b/sdks/python/apache_beam/testing/analyzers/perf_analysis_utils.py index 0a559fc4beeb..f9604c490fc0 100644 --- a/sdks/python/apache_beam/testing/analyzers/perf_analysis_utils.py +++ b/sdks/python/apache_beam/testing/analyzers/perf_analysis_utils.py @@ -14,11 +14,11 @@ # See the License for the specific language governing permissions and # limitations under the License. # +import abc import logging from dataclasses import asdict from dataclasses import dataclass from statistics import median -from typing import Any from typing import Dict from typing import List from typing import Optional @@ -28,11 +28,11 @@ import pandas as pd import yaml from google.api_core import exceptions +from google.cloud import bigquery from apache_beam.testing.analyzers import constants from apache_beam.testing.analyzers import github_issues_utils from apache_beam.testing.load_tests import load_test_metrics_utils -from apache_beam.testing.load_tests.load_test_metrics_utils import BigQueryMetricsFetcher from apache_beam.testing.load_tests.load_test_metrics_utils import BigQueryMetricsPublisher from signal_processing_algorithms.energy_statistics.energy_statistics import e_divisive @@ -59,9 +59,7 @@ def is_change_point_in_valid_window( return num_runs_in_change_point_window > latest_change_point_run -def get_existing_issues_data( - table_name: str, big_query_metrics_fetcher: BigQueryMetricsFetcher -) -> Optional[pd.DataFrame]: +def get_existing_issues_data(table_name: str) -> Optional[pd.DataFrame]: """ Finds the most recent GitHub issue created for the test_name. If no table found with name=test_name, return (None, None) @@ -73,12 +71,14 @@ def get_existing_issues_data( LIMIT 10 """ try: - df = big_query_metrics_fetcher.fetch(query=query) + client = bigquery.Client() + query_job = client.query(query=query) + existing_issue_data = query_job.result().to_dataframe() except exceptions.NotFound: # If no table found, that means this is first performance regression # on the current test+metric. return None - return df + return existing_issue_data def is_perf_alert( @@ -123,33 +123,6 @@ def validate_config(keys): return constants._PERF_TEST_KEYS.issubset(keys) -def fetch_metric_data( - params: Dict[str, Any], big_query_metrics_fetcher: BigQueryMetricsFetcher -) -> Tuple[List[Union[int, float]], List[pd.Timestamp]]: - """ - Args: - params: Dict containing keys required to fetch data from a data source. - big_query_metrics_fetcher: A BigQuery metrics fetcher for fetch metrics. - Returns: - Tuple[List[Union[int, float]], List[pd.Timestamp]]: Tuple containing list - of metric_values and list of timestamps. Both are sorted in ascending - order wrt timestamps. - """ - query = f""" - SELECT * - FROM {params['project']}.{params['metrics_dataset']}.{params['metrics_table']} - WHERE CONTAINS_SUBSTR(({load_test_metrics_utils.METRICS_TYPE_LABEL}), '{params['metric_name']}') - ORDER BY {load_test_metrics_utils.SUBMIT_TIMESTAMP_LABEL} DESC - LIMIT {constants._NUM_DATA_POINTS_TO_RUN_CHANGE_POINT_ANALYSIS} - """ - metric_data: pd.DataFrame = big_query_metrics_fetcher.fetch(query=query) - metric_data.sort_values( - by=[load_test_metrics_utils.SUBMIT_TIMESTAMP_LABEL], inplace=True) - return ( - metric_data[load_test_metrics_utils.VALUE_LABEL].tolist(), - metric_data[load_test_metrics_utils.SUBMIT_TIMESTAMP_LABEL].tolist()) - - def find_change_points(metric_values: List[Union[float, int]]): return e_divisive(metric_values) @@ -175,7 +148,7 @@ def find_latest_change_point_index(metric_values: List[Union[float, int]]): def publish_issue_metadata_to_big_query(issue_metadata, table_name): """ - Published issue_metadata to BigQuery with table name=test_name. + Published issue_metadata to BigQuery with table name. """ bq_metrics_publisher = BigQueryMetricsPublisher( project_name=constants._BQ_PROJECT_NAME, @@ -190,18 +163,21 @@ def publish_issue_metadata_to_big_query(issue_metadata, table_name): def create_performance_alert( metric_name: str, - test_name: str, + test_id: str, timestamps: List[pd.Timestamp], metric_values: List[Union[int, float]], change_point_index: int, labels: List[str], existing_issue_number: Optional[int], - test_description: Optional[str] = None) -> Tuple[int, str]: + test_description: Optional[str] = None, + test_name: Optional[str] = None, +) -> Tuple[int, str]: """ Creates performance alert on GitHub issues and returns GitHub issue number and issue URL. """ description = github_issues_utils.get_issue_description( + test_id=test_id, test_name=test_name, test_description=test_description, metric_name=metric_name, @@ -213,7 +189,7 @@ def create_performance_alert( issue_number, issue_url = github_issues_utils.report_change_point_on_issues( title=github_issues_utils._ISSUE_TITLE_TEMPLATE.format( - test_name, metric_name + test_id, metric_name ), description=description, labels=labels, @@ -253,3 +229,55 @@ def filter_change_points_by_median_threshold( if relative_change > threshold: valid_change_points.append(idx) return valid_change_points + + +class MetricsFetcher(metaclass=abc.ABCMeta): + @abc.abstractmethod + def fetch_metric_data( + self, + *, + project, + metrics_dataset, + metrics_table, + metric_name, + test_name=None) -> Tuple[List[Union[int, float]], List[pd.Timestamp]]: + """ + Define SQL query and fetch the timestamp values and metric values + from BigQuery tables. + """ + raise NotImplementedError + + +class BigQueryMetricsFetcher(MetricsFetcher): + def fetch_metric_data( + self, + *, + project, + metrics_dataset, + metrics_table, + metric_name, + test_name=None, + ) -> Tuple[List[Union[int, float]], List[pd.Timestamp]]: + """ + Args: + params: Dict containing keys required to fetch data from a data source. + Returns: + Tuple[List[Union[int, float]], List[pd.Timestamp]]: Tuple containing list + of metric_values and list of timestamps. Both are sorted in ascending + order wrt timestamps. + """ + query = f""" + SELECT * + FROM {project}.{metrics_dataset}.{metrics_table} + WHERE CONTAINS_SUBSTR(({load_test_metrics_utils.METRICS_TYPE_LABEL}), '{metric_name}') + ORDER BY {load_test_metrics_utils.SUBMIT_TIMESTAMP_LABEL} DESC + LIMIT {constants._NUM_DATA_POINTS_TO_RUN_CHANGE_POINT_ANALYSIS} + """ + client = bigquery.Client() + query_job = client.query(query=query) + metric_data = query_job.result().to_dataframe() + metric_data.sort_values( + by=[load_test_metrics_utils.SUBMIT_TIMESTAMP_LABEL], inplace=True) + return ( + metric_data[load_test_metrics_utils.VALUE_LABEL].tolist(), + metric_data[load_test_metrics_utils.SUBMIT_TIMESTAMP_LABEL].tolist()) diff --git a/sdks/python/apache_beam/testing/analyzers/tests_config.yaml b/sdks/python/apache_beam/testing/analyzers/tests_config.yaml index f808f5e41d74..ec9cfe6f1ac0 100644 --- a/sdks/python/apache_beam/testing/analyzers/tests_config.yaml +++ b/sdks/python/apache_beam/testing/analyzers/tests_config.yaml @@ -16,7 +16,7 @@ # # for the unique key to define a test, please use the following format: -# {test_name}-{metric_name} +# {test_id}-{metric_name} pytorch_image_classification_benchmarks-resnet152-mean_inference_batch_latency_micro_secs: test_description: diff --git a/sdks/python/apache_beam/testing/load_tests/load_test_metrics_utils.py b/sdks/python/apache_beam/testing/load_tests/load_test_metrics_utils.py index 92a5f68351fe..01db2c114efb 100644 --- a/sdks/python/apache_beam/testing/load_tests/load_test_metrics_utils.py +++ b/sdks/python/apache_beam/testing/load_tests/load_test_metrics_utils.py @@ -38,7 +38,6 @@ from typing import Optional from typing import Union -import pandas as pd import requests from requests.auth import HTTPBasicAuth @@ -650,13 +649,3 @@ def __init__(self): def process(self, element): yield self.timestamp_val_fn( element, self.timestamp_fn(micros=int(self.time_fn() * 1000000))) - - -class BigQueryMetricsFetcher: - def __init__(self): - self.client = bigquery.Client() - - def fetch(self, query) -> pd.DataFrame: - query_job = self.client.query(query=query) - result = query_job.result() - return result.to_dataframe() From 94a579ccdc968c6b01a481777e3140ab361738fa Mon Sep 17 00:00:00 2001 From: caneff Date: Thu, 5 Oct 2023 13:37:14 -0400 Subject: [PATCH 29/32] Add observed=False to be explicit for Pandas 2.1 (#28823) --- sdks/python/apache_beam/dataframe/frames_test.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/sdks/python/apache_beam/dataframe/frames_test.py b/sdks/python/apache_beam/dataframe/frames_test.py index 6f7a63c29164..fffb5391c760 100644 --- a/sdks/python/apache_beam/dataframe/frames_test.py +++ b/sdks/python/apache_beam/dataframe/frames_test.py @@ -1021,8 +1021,14 @@ def test_categorical_groupby(self): df = df.set_index('B') # TODO(BEAM-11190): These aggregations can be done in index partitions, but # it will require a little more complex logic - self._run_test(lambda df: df.groupby(level=0).sum(), df, nonparallel=True) - self._run_test(lambda df: df.groupby(level=0).mean(), df, nonparallel=True) + self._run_test( + lambda df: df.groupby(level=0, observed=False).sum(), + df, + nonparallel=True) + self._run_test( + lambda df: df.groupby(level=0, observed=False).mean(), + df, + nonparallel=True) def test_astype_categorical(self): df = pd.DataFrame({'A': np.arange(6), 'B': list('aabbca')}) From e6a1062b5483f62fd1152418535f6746dd69fc6e Mon Sep 17 00:00:00 2001 From: caneff Date: Thu, 5 Oct 2023 13:37:23 -0400 Subject: [PATCH 30/32] Add map function and skip applymap for 2.1 (#28818) --- sdks/python/apache_beam/dataframe/frames.py | 2 ++ sdks/python/apache_beam/dataframe/frames_test.py | 13 +++++++++++++ 2 files changed, 15 insertions(+) diff --git a/sdks/python/apache_beam/dataframe/frames.py b/sdks/python/apache_beam/dataframe/frames.py index f51814e7f696..b7aa130fbbd8 100644 --- a/sdks/python/apache_beam/dataframe/frames.py +++ b/sdks/python/apache_beam/dataframe/frames.py @@ -2978,6 +2978,8 @@ def aggregate(self, func, axis, *args, **kwargs): agg = aggregate applymap = frame_base._elementwise_method('applymap', base=pd.DataFrame) + if PD_VERSION >= (2, 1): + map = frame_base._elementwise_method('map', base=pd.DataFrame) add_prefix = frame_base._elementwise_method('add_prefix', base=pd.DataFrame) add_suffix = frame_base._elementwise_method('add_suffix', base=pd.DataFrame) diff --git a/sdks/python/apache_beam/dataframe/frames_test.py b/sdks/python/apache_beam/dataframe/frames_test.py index fffb5391c760..6e32acefc61b 100644 --- a/sdks/python/apache_beam/dataframe/frames_test.py +++ b/sdks/python/apache_beam/dataframe/frames_test.py @@ -865,6 +865,8 @@ def test_corrwith_bad_axis(self): self._run_error_test(lambda df: df.corrwith(df, axis=5), df) @unittest.skipIf(PD_VERSION < (1, 2), "na_action added in pandas 1.2.0") + @pytest.mark.filterwarnings( + "ignore:The default of observed=False is deprecated:FutureWarning") def test_applymap_na_action(self): # Replicates a doctest for na_action which is incompatible with # doctest framework @@ -875,6 +877,17 @@ def test_applymap_na_action(self): # TODO: generate proxy using naive type inference on fn check_proxy=False) + @unittest.skipIf(PD_VERSION < (2, 1), "map added in 2.1.0") + def test_map_na_action(self): + # Replicates a doctest for na_action which is incompatible with + # doctest framework + df = pd.DataFrame([[pd.NA, 2.12], [3.356, 4.567]]) + self._run_test( + lambda df: df.map(lambda x: len(str(x)), na_action='ignore'), + df, + # TODO: generate proxy using naive type inference on fn + check_proxy=False) + def test_dataframe_eval_query(self): df = pd.DataFrame(np.random.randn(20, 3), columns=['a', 'b', 'c']) self._run_test(lambda df: df.eval('foo = a + b - c'), df) From 30c5e05ed4dd0478295ac0c69553a0758fbce9ff Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 5 Oct 2023 13:44:16 -0400 Subject: [PATCH 31/32] Bump github.com/fsouza/fake-gcs-server from 1.47.4 to 1.47.5 in /sdks (#28812) Bumps [github.com/fsouza/fake-gcs-server](https://github.com/fsouza/fake-gcs-server) from 1.47.4 to 1.47.5. - [Release notes](https://github.com/fsouza/fake-gcs-server/releases) - [Commits](https://github.com/fsouza/fake-gcs-server/compare/v1.47.4...v1.47.5) --- updated-dependencies: - dependency-name: github.com/fsouza/fake-gcs-server dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- sdks/go.mod | 6 +++--- sdks/go.sum | 14 +++++++------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/sdks/go.mod b/sdks/go.mod index 89f119a54908..d817ae549857 100644 --- a/sdks/go.mod +++ b/sdks/go.mod @@ -67,8 +67,8 @@ require ( ) require ( - github.com/fsouza/fake-gcs-server v1.47.4 - golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1 + github.com/fsouza/fake-gcs-server v1.47.5 + golang.org/x/exp v0.0.0-20230807204917-050eac23e9de ) require ( @@ -88,7 +88,7 @@ require ( cloud.google.com/go v0.110.7 // indirect cloud.google.com/go/compute v1.23.0 // indirect cloud.google.com/go/compute/metadata v0.2.3 // indirect - cloud.google.com/go/iam v1.1.1 // indirect + cloud.google.com/go/iam v1.1.2 // indirect cloud.google.com/go/longrunning v0.5.1 // indirect github.com/Azure/go-ansiterm v0.0.0-20210617225240-d185dfc1b5a1 // indirect github.com/Microsoft/go-winio v0.6.1 // indirect diff --git a/sdks/go.sum b/sdks/go.sum index 582f3d69f88e..9f43e9a53abc 100644 --- a/sdks/go.sum +++ b/sdks/go.sum @@ -26,8 +26,8 @@ cloud.google.com/go/datastore v1.0.0/go.mod h1:LXYbyblFSglQ5pkeyhO+Qmw7ukd3C+pD7 cloud.google.com/go/datastore v1.1.0/go.mod h1:umbIZjpQpHh4hmRpGhH4tLFup+FVzqBi1b3c64qFpCk= cloud.google.com/go/datastore v1.14.0 h1:Mq0ApTRdLW3/dyiw+DkjTk0+iGIUvkbzaC8sfPwWTH4= cloud.google.com/go/datastore v1.14.0/go.mod h1:GAeStMBIt9bPS7jMJA85kgkpsMkvseWWXiaHya9Jes8= -cloud.google.com/go/iam v1.1.1 h1:lW7fzj15aVIXYHREOqjRBV9PsH0Z6u8Y46a1YGvQP4Y= -cloud.google.com/go/iam v1.1.1/go.mod h1:A5avdyVL2tCppe4unb0951eI9jreack+RJ0/d+KUZOU= +cloud.google.com/go/iam v1.1.2 h1:gacbrBdWcoVmGLozRuStX45YKvJtzIjJdAolzUs1sm4= +cloud.google.com/go/iam v1.1.2/go.mod h1:A5avdyVL2tCppe4unb0951eI9jreack+RJ0/d+KUZOU= cloud.google.com/go/kms v1.15.0 h1:xYl5WEaSekKYN5gGRyhjvZKM22GVBBCzegGNVPy+aIs= cloud.google.com/go/longrunning v0.5.1 h1:Fr7TXftcqTudoyRJa113hyaqlGdiBQkp0Gq7tErFDWI= cloud.google.com/go/longrunning v0.5.1/go.mod h1:spvimkwdz6SPWKEt/XBij79E9fiTkHSQl/fRUUQJYJc= @@ -195,8 +195,8 @@ github.com/form3tech-oss/jwt-go v3.2.2+incompatible/go.mod h1:pbq4aXjuKjdthFRnoD github.com/frankban/quicktest v1.2.2/go.mod h1:Qh/WofXFeiAFII1aEBu529AtJo6Zg2VHscnEsbBnJ20= github.com/frankban/quicktest v1.11.3 h1:8sXhOn0uLys67V8EsXLc6eszDs8VXWxL3iRvebPhedY= github.com/frankban/quicktest v1.11.3/go.mod h1:wRf/ReqHper53s+kmmSZizM8NamnL3IM0I9ntUbOk+k= -github.com/fsouza/fake-gcs-server v1.47.4 h1:gfBhBxEra20/Om02cvcyL8EnekV8KDb01Yffjat6AKQ= -github.com/fsouza/fake-gcs-server v1.47.4/go.mod h1:vqUZbI12uy9IkRQ54Q4p5AniQsSiUq8alO9Nv2egMmA= +github.com/fsouza/fake-gcs-server v1.47.5 h1:o+wL01s01j/2OdkIaduDogXw2bZveq9TFb8f+BqEHtM= +github.com/fsouza/fake-gcs-server v1.47.5/go.mod h1:PhN8F1rHAOCL5jWyXcw8nPfLfHnka6D9fT7ctL9nbkA= github.com/go-gl/glfw v0.0.0-20190409004039-e6da0acd62b1/go.mod h1:vR7hzQXu2zJy9AVAgeJqvqgH9Q5CA+iKCZ2gyEVpxRU= github.com/go-gl/glfw/v3.3/glfw v0.0.0-20191125211704-12ad95a8df72/go.mod h1:tQ2UAYgL5IevRw8kRxooKSPJfGvJ9fJQFa0TUsXzTg8= github.com/go-gl/glfw/v3.3/glfw v0.0.0-20200222043503-6f7a984d4dc4/go.mod h1:tQ2UAYgL5IevRw8kRxooKSPJfGvJ9fJQFa0TUsXzTg8= @@ -348,7 +348,7 @@ github.com/minio/asm2plan9s v0.0.0-20200509001527-cdd76441f9d8/go.mod h1:mC1jAcs github.com/minio/c2goasm v0.0.0-20190812172519-36a3d3bbc4f3 h1:+n/aFZefKZp7spd8DFdX7uMikMLXX4oubIzJF4kv/wI= github.com/minio/c2goasm v0.0.0-20190812172519-36a3d3bbc4f3/go.mod h1:RagcQ7I8IeTMnF8JTXieKnO4Z6JCsikNEzj0DwauVzE= github.com/minio/md5-simd v1.1.2 h1:Gdi1DZK69+ZVMoNHRXJyNcxrMA4dSxoYHZSQbirFg34= -github.com/minio/minio-go/v7 v7.0.61 h1:87c+x8J3jxQ5VUGimV9oHdpjsAvy3fhneEBKuoKEVUI= +github.com/minio/minio-go/v7 v7.0.63 h1:GbZ2oCvaUdgT5640WJOpyDhhDxvknAJU2/T3yurwcbQ= github.com/minio/sha256-simd v1.0.1 h1:6kaan5IFmwTNynnKKpDHe6FWHohJOHhCPchzK49dzMM= github.com/moby/patternmatcher v0.5.0 h1:YCZgJOeULcxLw1Q+sVR636pmS7sPEn1Qo2iAN6M7DBo= github.com/moby/patternmatcher v0.5.0/go.mod h1:hDPoyOpDY7OrrMDLaYoY3hf52gNCR/YOUYxkhApJIxc= @@ -497,8 +497,8 @@ golang.org/x/exp v0.0.0-20191227195350-da58074b4299/go.mod h1:2RIsYlXP63K8oxa1u0 golang.org/x/exp v0.0.0-20200119233911-0405dc783f0a/go.mod h1:2RIsYlXP63K8oxa1u096TMicItID8zy7Y6sNkU49FU4= golang.org/x/exp v0.0.0-20200207192155-f17229e696bd/go.mod h1:J/WKrq2StrnmMY6+EHIKF9dgMWnmCNThgcyBT1FY9mM= golang.org/x/exp v0.0.0-20200224162631-6cc2880d07d6/go.mod h1:3jZMyOhIsHpP37uCMkUooju7aAi5cS1Q23tOzKc+0MU= -golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1 h1:MGwJjxBy0HJshjDNfLsYO8xppfqWlA5ZT9OhtUUhTNw= -golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1/go.mod h1:FXUEEKJgO7OQYeo8N01OfiKP8RXMtf6e8aTskBGqWdc= +golang.org/x/exp v0.0.0-20230807204917-050eac23e9de h1:l5Za6utMv/HsBWWqzt4S8X17j+kt1uVETUX5UFhn2rE= +golang.org/x/exp v0.0.0-20230807204917-050eac23e9de/go.mod h1:FXUEEKJgO7OQYeo8N01OfiKP8RXMtf6e8aTskBGqWdc= golang.org/x/image v0.0.0-20190227222117-0694c2d4d067/go.mod h1:kZ7UVZpmo3dzQBMxlp+ypCbDeSB+sBbTgSJuh5dn5js= golang.org/x/image v0.0.0-20190802002840-cff245a6509b/go.mod h1:FeLwcggjj3mMvU+oOTbSwawSJRM1uh48EjtB4UJZlP0= golang.org/x/lint v0.0.0-20181026193005-c67002cb31c3/go.mod h1:UVdnD1Gm6xHRNCYTkRU2/jEulfH38KcIWyp/GAMgvoE= From 31e1c7a8aef905a54c5382930e43e2d36d2d5773 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 5 Oct 2023 13:44:46 -0400 Subject: [PATCH 32/32] Bump pillow (#28810) Bumps [pillow](https://github.com/python-pillow/Pillow) from 9.3.0 to 10.0.1. - [Release notes](https://github.com/python-pillow/Pillow/releases) - [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst) - [Commits](https://github.com/python-pillow/Pillow/compare/9.3.0...10.0.1) --- updated-dependencies: - dependency-name: pillow dependency-type: direct:production ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .../kfp/components/preprocessing/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing/requirements.txt b/sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing/requirements.txt index e902ead34151..706adf9de0aa 100644 --- a/sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing/requirements.txt +++ b/sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing/requirements.txt @@ -18,4 +18,4 @@ requests==2.31.0 torch==1.13.1 torchvision==0.13.0 numpy==1.22.4 -Pillow==9.3.0 +Pillow==10.0.1