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feat: reuse the same bigquery table for multiple model versions for Arize BQ Sink #531
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khorshuheng
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feat: reuse the same bigquery table for multiple model versions for A…
feat: reuse the same bigquery table for multiple model versions for Arize BQ Sink
Feb 5, 2024
tiopramayudi
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LGTM ! Thanks @khorshuheng
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…rize BigQuery Sink
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…rize BQ Sink (#531) <!-- Thanks for sending a pull request! Here are some tips for you: 1. Run unit tests and ensure that they are passing 2. If your change introduces any API changes, make sure to update the e2e tests 3. Make sure documentation is updated for your PR! --> # Description <!-- Briefly describe the motivation for the change. Please include illustrations where appropriate. --> The current sink create a new bigquery table per model version. This makes it harder to implement Arize ground truth ingestion, because the ground truth provided by the users are typically model version agnostic. # Modifications <!-- Summarize the key code changes. --> - A single table will be used per model id, rather than model version - A new column, model_version, is added. - session id and row id are used in favor of prediction id as the concept of prediction id in Arize differs from Merlin # Tests <!-- Besides the existing / updated automated tests, what specific scenarios should be tested? Consider the backward compatibility of the changes, whether corner cases are covered, etc. Please describe the tests and check the ones that have been completed. Eg: - [x] Deploying new and existing standard models - [ ] Deploying PyFunc models --> # Checklist - [ ] Added PR label - [ ] Added unit test, integration, and/or e2e tests - [ ] Tested locally - [ ] Updated documentation - [ ] Update Swagger spec if the PR introduce API changes - [ ] Regenerated Golang and Python client if the PR introduces API changes # Release Notes <!-- Does this PR introduce a user-facing change? If no, just write "NONE" in the release-note block below. If yes, a release note is required. Enter your extended release note in the block below. If the PR requires additional action from users switching to the new release, include the string "action required". For more information about release notes, see kubernetes' guide here: http://git.k8s.io/community/contributors/guide/release-notes.md --> ```release-note ```
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Description
The current sink create a new bigquery table per model version. This makes it harder to implement Arize ground truth ingestion, because the ground truth provided by the users are typically model version agnostic.
Modifications
Tests
Checklist
Release Notes