v2.44.0

We are happy to present the new 2.44.0 release of Beam.
This release includes both improvements and new functionality.
See the download page for this release.

For more information on changes in 2.44.0, check out the detailed release notes.

I/Os

• Support for Bigtable sink (Write and WriteBatch) added (Go) (#23324).
• S3 implementation of the Beam filesystem (Go) (#23991).
• Support for SingleStoreDB source and sink added (Java) (#22617).
• Added support for DefaultAzureCredential authentication in Azure Filesystem (Python) (#24210).
• Added new CdapIO for CDAP Batch and Streaming Source/Sinks (Java) (#24961).
• Added new SparkReceiverIO for Spark Receivers 2.4.* (Java) (#24960).

New Features / Improvements

• Beam now provides a portable "runner" that can render pipeline graphs with
  graphviz. See python -m apache_beam.runners.render --help for more details.
• Local packages can now be used as dependencies in the requirements.txt file, rather
  than requiring them to be passed separately via the --extra_package option
  (Python) (#23684).
• Pipeline Resource Hints now supported via --resource_hints flag (Go) (#23990).
• Make Python SDK containers reusable on portable runners by installing dependencies to temporary venvs (BEAM-12792).
• RunInference model handlers now support the specification of a custom inference function in Python (#22572)
• Support for map_windows urn added to Go SDK (#24307).

Breaking Changes

• ParquetIO.withSplit was removed since splittable reading has been the default behavior since 2.35.0. The effect of
  this change is to drop support for non-splittable reading (Java)(#23832).
• beam-sdks-java-extensions-google-cloud-platform-core is no longer a
  dependency of the Java SDK Harness. Some users of a portable runner (such as Dataflow Runner v2)
  may have an undeclared dependency on this package (for example using GCS with
  TextIO) and will now need to declare the dependency.
• beam-sdks-java-core is no longer a dependency of the Java SDK Harness. Users of a portable
  runner (such as Dataflow Runner v2) will need to provide this package and its dependencies.
• Slices now use the Beam Iterable Coder. This enables cross language use, but breaks pipeline updates
  if a Slice type is used as a PCollection element or State API element. (Go)#24339

Bugfixes

• Fixed JmsIO acknowledgment issue (Java) (#20814)
• Fixed Beam SQL CalciteUtils (Java) and Cross-language JdbcIO (Python) did not support JDBC CHAR/VARCHAR, BINARY/VARBINARY logical types (#23747, #23526).
• Ensure iterated and emitted types are used with the generic register package are registered with the type and schema registries.(Go) (#23889)

List of Contributors

According to git shortlog, the following people contributed to the 2.44.0 release. Thank you to all contributors!

Ahmed Abualsaud
Ahmet Altay
Alex Merose
Alexey Inkin
Alexey Romanenko
Anand Inguva
Andrei Gurau
Andrej Galad
Andrew Pilloud
Ayush Sharma
Benjamin Gonzalez
Bjorn Pedersen
Brian Hulette
Bruno Volpato
Bulat Safiullin
Chamikara Jayalath
Chris Gavin
Damon Douglas
Danielle Syse
Danny McCormick
Darkhan Nausharipov
David Cavazos
Dmitry Repin
Doug Judd
Elias Segundo Antonio
Evan Galpin
Evgeny Antyshev
Heejong Lee
Henrik Heggelund-Berg
Israel Herraiz
Jack McCluskey
Jan Lukavsk\u00fd
Janek Bevendorff
Johanna \u00d6jeling
John J. Casey
Jozef Vilcek
Kanishk Karanawat
Kenneth Knowles
Kiley Sok
Laksh
Liam Miller-Cushon
Luke Cwik
MakarkinSAkvelon
Minbo Bae
Moritz Mack
Nancy Xu
Ning Kang
Nivaldo Tokuda
Oleh Borysevych
Pablo Estrada
Philippe Moussalli
Pranav Bhandari
Rebecca Szper
Reuven Lax
Rick Smit
Ritesh Ghorse
Robert Bradshaw
Robert Burke
Ryan Thompson
Sam Whittle
Sanil Jain
Scott Strong
Shubham Krishna
Steven van Rossum
Svetak Sundhar
Thiago Nunes
Tianyang Hu
Trevor Gevers
Valentyn Tymofieiev
Vitaly Terentyev
Vladislav Chunikhin
Xinyu Liu
Yi Hu
Yichi Zhang

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