title: “Apache Beam 2.46.0” date: 2023-03-10 13:00:00 -0500 categories:

  • blog
  • release authors:
  • damccorm

We are happy to present the new 2.46.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.46.0, check out the detailed release notes.

Highlights

  • Java SDK containers migrated to Eclipse Temurin as a base. This change migrates away from the deprecated OpenJDK container. Eclipse Temurin is currently based upon Ubuntu 22.04 while the OpenJDK container was based upon Debian 11.
  • RunInference PTransform will accept model paths as SideInputs in Python SDK. (#24042)
  • RunInference supports ONNX runtime in Python SDK (#22972)
  • Tensorflow Model Handler for RunInference in Python SDK (#25366)
  • Java SDK modules migrated to use :sdks:java:extensions:avro (#24748)

I/Os

  • Added in JmsIO a retry policy for failed publications (Java) (#24971).
  • Support for LZMA compression/decompression of text files added to the Python SDK (#25316)
  • Added ReadFrom/WriteTo Csv/Json as top-level transforms to the Python SDK.

New Features / Improvements

  • Add UDF metrics support for Samza portable mode.
  • Option for SparkRunner to avoid the need of SDF output to fit in memory (#23852). This helps e.g. with ParquetIO reads. Turn the feature on by adding experiment use_bounded_concurrent_output_for_sdf.
  • Add WatchFilePattern transform, which can be used as a side input to the RunInference PTransfrom to watch for model updates using a file pattern. (#24042)
  • Add support for loading TorchScript models with PytorchModelHandler. The TorchScript model path can be passed to PytorchModelHandler using torch_script_model_path=<path_to_model>. (#25321)
  • The Go SDK now requires Go 1.19 to build. (#25545)
  • The Go SDK now has an initial native Go implementation of a portable Beam Runner called Prism. (#24789)

Breaking Changes

  • The deprecated SparkRunner for Spark 2 (see 2.41.0) was removed (#25263).
  • Python's BatchElements performs more aggressive batching in some cases, capping at 10 second rather than 1 second batches by default and excluding fixed cost in this computation to better handle cases where the fixed cost is larger than a single second. To get the old behavior, one can pass target_batch_duration_secs_including_fixed_cost=1 to BatchElements.

Deprecations

  • Avro related classes are deprecated in module beam-sdks-java-core and will be eventually removed. Please, migrate to a new module beam-sdks-java-extensions-avro instead by importing the classes from org.apache.beam.sdk.extensions.avro package. For the sake of migration simplicity, the relative package path and the whole class hierarchy of Avro related classes in new module is preserved the same as it was before. For example, import org.apache.beam.sdk.extensions.avro.coders.AvroCoder class instead oforg.apache.beam.sdk.coders.AvroCoder. (#24749).

List of Contributors

According to git shortlog, the following people contributed to the 2.46.0 release. Thank you to all contributors!

Ahmet Altay

Alan Zhang

Alexey Romanenko

Amrane Ait Zeouay

Anand Inguva

Andrew Pilloud

Brian Hulette

Bruno Volpato

Byron Ellis

Chamikara Jayalath

Damon

Danny McCormick

Darkhan Nausharipov

David Katz

Dmitry Repin

Doug Judd

Egbert van der Wal

Elizaveta Lomteva

Evan Galpin

Herman Mak

Jack McCluskey

Jan Lukavský

Johanna Öjeling

John Casey

Jozef Vilcek

Junhao Liu

Juta Staes

Katie Liu

Kiley Sok

Liam Miller-Cushon

Luke Cwik

Moritz Mack

Ning Kang

Oleh Borysevych

Pablo E

Pablo Estrada

Reuven Lax

Ritesh Ghorse

Robert Bradshaw

Robert Burke

Ruslan Altynnikov

Ryan Zhang

Sam Rohde

Sam Whittle

Sam sam

Sergei Lilichenko

Shivam

Shubham Krishna

Theodore Ni

Timur Sultanov

Tony Tang

Vachan

Veronica Wasson

Vincent Devillers

Vitaly Terentyev

William Ross Morrow

Xinyu Liu

Yi Hu

ZhengLin Li

Ziqi Ma

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