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[PECO-1803] Splitting the PySql connector into the core and the non core part #443
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Thanks for your contribution! To satisfy the DCO policy in our contributing guide every commit message must include a sign-off message. One or more of your commits is missing this message. You can reword previous commit messages with an interactive rebase ( |
Thanks for your contribution! To satisfy the DCO policy in our contributing guide every commit message must include a sign-off message. One or more of your commits is missing this message. You can reword previous commit messages with an interactive rebase ( |
Thanks for your contribution! To satisfy the DCO policy in our contributing guide every commit message must include a sign-off message. One or more of your commits is missing this message. You can reword previous commit messages with an interactive rebase ( |
Thanks for your contribution! To satisfy the DCO policy in our contributing guide every commit message must include a sign-off message. One or more of your commits is missing this message. You can reword previous commit messages with an interactive rebase ( |
Thanks for your contribution! To satisfy the DCO policy in our contributing guide every commit message must include a sign-off message. One or more of your commits is missing this message. You can reword previous commit messages with an interactive rebase ( |
PECO-1803
Related Links
databricks_sqlalchemy split is present in this PR - databricks/databricks-sqlalchemy#1
Description
databricks-sql-python library is split so that package size can be reduced for the end user based on their requirements
Particularly pyarrow is the heavy component that is planned to be kept optional
existing library split into
Tasks Completed
How to Test
Testing pipeline remains the same as it is before the split.
pytest can be used to directly run both the integration as well as unit tests, by
pytest [directory_name or file_name]
Addition of dist folder in this repo
Github actions have been setup in the databricks_sqlalchemy repo to run tests using the databricks_sql_connector_core. For running those tests currently we need the .whl file in the dist folder and for temporary testing it has been added to the PR.
Once the library gets published to a public repository such as PyPi then databricks_sqlalchemy will automatically download it from that repo and run the tests using Github actions
Performance Comparison - Benchmarking
The pre-split and post-split preformance comparison has been made using the large and small queries to make sure their is no regression of performance
Dashboard has been created so that everytime the benchmarking is run the result are stored in the benchfood, and comparisons can be made easily