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This PR contains the following updates:

Package Type Update Change
apache/beam_python3.9_sdk final minor 2.55.1 -> 2.69.0

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@renovate-bot renovate-bot requested review from a team as code owners December 1, 2025 03:08
@trusted-contributions-gcf trusted-contributions-gcf bot added kokoro:force-run Add this label to force Kokoro to re-run the tests. owlbot:run Add this label to trigger the Owlbot post processor. labels Dec 1, 2025
@product-auto-label product-auto-label bot added the samples Issues that are directly related to samples. label Dec 1, 2025
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Summary of Changes

Hello @renovate-bot, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the version of the Apache Beam Python 3.9 SDK Docker image used in custom container definitions for Dataflow. By bumping the SDK version, the pipelines leveraging these custom containers will benefit from the latest features, bug fixes, and performance improvements available in the newer Beam release.

Highlights

  • Dependency Update: The apache/beam_python3.9_sdk Docker image tag has been updated from v2.55.1 to v2.69.0.
  • Dockerfile Changes: Two Dockerfiles, dataflow/custom-containers/miniconda/Dockerfile and dataflow/custom-containers/minimal/Dockerfile, were modified to reflect the new Beam SDK version.
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@kokoro-team kokoro-team removed the kokoro:force-run Add this label to force Kokoro to re-run the tests. label Dec 1, 2025
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Code Review

This pull request updates the apache/beam_python3.9_sdk Docker image tag from 2.55.1 to 2.69.0 in the Dockerfiles for the miniconda and minimal custom container examples. While this is a good update, it introduces a version mismatch with the apache-beam Python package specified in the corresponding requirements.txt files, which remain at version 2.37.0. To ensure compatibility and prevent potential runtime issues, it's crucial to update the apache-beam dependency to match the new base image version (2.69.0).


# Set the entrypoint to Apache Beam SDK worker launcher.
COPY --from=apache/beam_python3.9_sdk:2.55.1 /opt/apache/beam /opt/apache/beam
COPY --from=apache/beam_python3.9_sdk:2.69.0 /opt/apache/beam /opt/apache/beam
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high

While updating the Beam SDK base image to version 2.69.0, the corresponding apache-beam dependency in dataflow/custom-containers/miniconda/requirements.txt was not updated. It is currently pinned to 2.37.0.

A mismatch between the SDK version in the container and the version used to run the pipeline can lead to runtime errors. It's highly recommended to keep these versions in sync.

Please update dataflow/custom-containers/miniconda/requirements.txt to:

apache-beam[gcp]==2.69.0


# Set the entrypoint to Apache Beam SDK worker launcher.
COPY --from=apache/beam_python3.9_sdk:2.55.1 /opt/apache/beam /opt/apache/beam
COPY --from=apache/beam_python3.9_sdk:2.69.0 /opt/apache/beam /opt/apache/beam
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high

The Beam SDK base image is being updated to 2.69.0, but the apache-beam dependency in dataflow/custom-containers/minimal/requirements.txt is still at version 2.37.0.

To prevent potential runtime incompatibilities, it's important that the apache-beam package version matches the base image version.

Please update dataflow/custom-containers/minimal/requirements.txt to:

apache-beam[gcp]==2.69.0

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