[1/2] sdks/python: enrich data with CloudSQL [PostgreSQL, MySQL, SQLServer]

[mohamedawnallah]

Description

• Add Google CloudSQL Enrichment Handler
• Support Enrichment for Unmanaged PostgreSQL
• Support Enrichment for Unmanaged MySQL
• Support Enrichment for Unmanaged Microsoft SQL Server
• Unit Test Google CloudSQL Enrichment Handler
• Integrate Test Google CloudSQL Enrichment Handler
• Add Release Note for the new Google CloudSQL Enrichment Handler Integration

Towards #30773.
Towards #35046.
Next #35473.

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[mohamedawnallah]

Hi @claudevdm,

I think the PR is now ready for review. I’ve run all test cases locally, including the integration tests, and they pass since I’m using a PostgreSQL Cloud SQL managed instance in my Google Cloud for testing.

However, the integration tests currently fail in the CI pipeline because there’s no Cloud SQL testing instance to connect to. It seems like this may require additional setup or administration.

How am I supposed to move this PR forward?

Thanks!

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[mohamedawnallah]

assign set of reviewers

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[claudevdm]

Thank you for your contribution to the Cloud SQL Enrichment Handler. I'd like to share some thoughts about potential improvements:

• Query Flexibility: We should consider expanding the interface to allow users to:

  1. Select specific columns rather than always returning all columns
  2. Apply multiple filtering conditions (e.g., filtering on both customer_id AND region)
  3. Support more complex query conditions beyond simple equality checks

• SQLAlchemy Integration: Given that we're supporting three different database types (MySQL, PostgreSQL, and SQL Server), leveraging SQLAlchemy would:

  1. Provide database-agnostic query building
  2. Handle dialect-specific syntax differences automatically
  3. Offer better protection against SQL injection vulnerabilities

• Batch Processing Support: For performance optimization, we should implement batched queries similar to the BigQuery handler

  beam/sdks/python/apache_beam/transforms/enrichment_handlers/bigquery.py

  Line 180 in 6426f72

  def __call__(self, request: Union[beam.Row, list[beam.Row]], *args, **kwargs):

Could @liferoad and @svetakvsundhar share their thoughts on the user interface design and SQLAlchemy integration?

[github-actions]

Reminder, please take a look at this pr: @liferoad @damccorm

[damccorm]

waiting on author

[mohamedawnallah]

Installed distributions
Trying to resolve the latest version from remote

It seems there are issues with the CI. Close and reopen this PR to re-trigger it.

[mohamedawnallah]

Hi @claudevdm, I've addressed the SQL injection issue as per this comment #34398 (comment). I think this PR is now ready for review and I would love to receive any feedback on it 🙇‍♂️

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Assigning new set of reviewers because Pr has gone too long without review. If you would like to opt out of this review, comment assign to next reviewer:

R: @shunping for label python.
R: @melap for label website.

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[derrickaw]

Hi @shunping and @melap, please review when you get a chance. Thanks!

[damccorm]

Thanks! This is excellent - I just had one question, otherwise we can go ahead and merge

[mohamedawnallah]

Triggering again the postcommits now...

[damccorm]

Thanks! Confirmed remaining tests are flakes