Apache Beam SDK versions 2.47 to 2.51 have open issues

[daniel-cit]

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Secured Data Warehouse Specifications

• Version: d165499
• Platform: Linux 22.04

Terraform execution logs

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Expected Behavior

When deployed Dataflow Jobs list should give no critical alert regarding the SDK version

Actual Behavior

When deployed Dataflow Jobs list gives critical alert regarding the SDK version

Steps to Reproduce

1. Deploy any example that deploys Dataflow Jobs

Important Factoids

References

• https://cloud.google.com/dataflow/docs/support/sdk-version-support-status#python
• [Bug]: [Python SDK] Memory leak in 2.47.0 - 2.51.0 SDKs.  apache/beam#28246
• [Failing Test]: Many BigQuery direct read Python PostCommit failing possibly due to fastavro regression apache/beam#28811
• [Bug][Python Bigtable Cross-language]: Connector mishandles records that don't explicitly set a timestamp apache/beam#28632 affects versions 2.49 and 2.50

[daniel-cit]

workaround from apache/beam#28246
is to move back to Apache Beam SDK 2.46.0 until a fixed version is release

[github-actions]

This issue is stale because it has been open 60 days with no activity. Remove stale label or comment or this will be closed in 7 days