Bump apache-beam[gcp] from 2.34.0 to 2.71.0

[dependabot]

Bumps apache-beam[gcp] from 2.34.0 to 2.71.0.

Release notes

Sourced from apache-beam[gcp]'s releases.

Beam 2.71.0 release

We are happy to present the new 2.71.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.71.0, check out the detailed release notes.

I/Os

• (Java) Elasticsearch 9 Support (#36491).
• (Java) Upgraded HCatalogIO to Hive 4.0.1 (#32189).

New Features / Improvements

• Support configuring Firestore database on ReadFn transforms (Java) (#36904).
• (Python) Inference args are now allowed in most model handlers, except where they are explicitly/intentionally disallowed (#37093).

Bugfixes

• Fixed FirestoreV1 Beam connectors allow configuring inconsistent project/database IDs between RPC requests and routing headers #36895 (Java) (#36895).
• Logical type and coder registry are saved for pipelines in the case of default pickler. This fixes a side effect of switching to cloudpickle as default pickler in Beam 2.65.0 (Python) (#35738).

Known Issues

For the most up to date list of known issues, see https://github.com/apache/beam/blob/master/CHANGES.md

List of Contributors

According to git shortlog, the following people contributed to the 2.71.0 release. Thank you to all contributors!

Abacn, Ahmed Abualsaud, Amar3tto, Andrew Crites, apanich, Arun, Arun Pandian, assaf127, Chamikara Jayalath, CherisPatelInfocusp, Cheskel Twersky, Claire McGinty, Claude, Danny Mccormick, dependabot[bot], Derrick Williams, Egbert van der Wal, Evan Galpin, Ganesh, github-actions[bot], hekk-kaori-maeda, Jack Dingilian, Jack McCluskey, JayajP, Jiang Zhu, Kenneth Knowles, liferoad, M Junaid Shaukat, Nayan Mathur, Noah Stapp, Paco Avila, Radek Stankiewicz, Radosław Stankiewicz, Robert Stupp, Sam Whittle, Shunping Huang, Steven van Rossum, Suvrat Acharya, Tarun Annapareddy, tvalentyn, Utkarsh Parekh, Vitaly Terentyev, Xiaochu Liu, Yala Huang Feng, Yi Hu, Yu Watanabe, zhan7236

Beam 2.70.0 release

We are happy to present the new 2.70.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.70.0, check out the detailed release notes.

Highlights

• Flink 1.20 support added (#32647).

New Features / Improvements

• Python examples added for Milvus search enrichment handler on Beam Website including jupyter notebook example (Python) (#36176).

... (truncated)

Changelog

Sourced from apache-beam[gcp]'s changelog.

[2.71.0] - 2026-01-22

I/Os

• (Java) Elasticsearch 9 Support (#36491).
• (Java) Upgraded HCatalogIO to Hive 4.0.1 (#32189).

New Features / Improvements

• Support configuring Firestore database on ReadFn transforms (Java) (#36904).
• (Python) Inference args are now allowed in most model handlers, except where they are explicitly/intentionally disallowed (#37093).
• (Python) Add support for EnvoyRateLimiter, to allow rate limiting in DoFns (#37135).
• (Python) Add support for RateLimiting in Remote Model Handler (#37218).

Bugfixes

• Fixed FirestoreV1 Beam connectors allow configuring inconsistent project/database IDs between RPC requests and routing headers #36895 (Java) (#36895).
• Logical type and coder registry are saved for pipelines in the case of default pickler (#36271). This fixes a side effect of switching to cloudpickle as default pickler in Beam 2.65.0 (Python) (#35738).

Known Issues

[2.70.0] - 2025-12-16

Highlights

• Flink 1.20 support added (#32647).

New Features / Improvements

• Python examples added for Milvus search enrichment handler on Beam Website including jupyter notebook example (Python) (#36176).
• Milvus sink I/O connector added (Python) (#36702). Now Beam has full support for Milvus integration including Milvus enrichment and sink operations.

Breaking Changes

• (Python) Some Python dependencies have been split out into extras. To ensure all previously installed dependencies are installed, when installing Beam you can pip install apache-beam[gcp,interactive,yaml,redis,hadoop,tfrecord], though most users will not need all of these extras (#34554).

Deprecations

• (Python) Python 3.9 reached EOL in October 2025 and support for the language version has been removed. (#36665).

[2.69.0] - 2025-10-28

Highlights

• (Python) Add YAML Editor and Visualization Panel (#35772).
• (Java) Java 25 Support (#35627).

... (truncated)

Commits

• 8e6f1d1 Set version for 2.71.0 RC3
• 798e1a4 Spanner cherry-picks (#37330)
• d31db5b Revert spanner version (#37305) (#37311)
• 5977686 Cherry pick #37257 and #37294 into release-2.71 (#37307)
• 0c4d81b Cherry Pick RateLimiter SDK changes to Beam 2.71 release (#37306)
• c77c61e Set Dataflow container to release version.
• 4777bef Add nanosecond timestamp support for Storage write when writing GenericRecord...
• 9d2abcf Bump numpy versions (#37238)
• d55cf58 Flink 2 support prerequisites (#37133)
• 3319517 Fix CHANGES.md format (#37236)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)