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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/03/31 20:57:02 UTC
[GitHub] [beam] rohdesamuel commented on a change in pull request #17232: [BEAM-14221] Update documentation with Flink on Dataproc features
rohdesamuel commented on a change in pull request #17232:
URL: https://github.com/apache/beam/pull/17232#discussion_r840010216
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File path: CHANGES.md
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@@ -150,6 +152,8 @@
* DataFrame API now supports pandas 1.4.x ([BEAM-13605](https://issues.apache.org/jira/browse/BEAM-13605)).
* Go SDK DoFns can now observe trigger panes directly ([BEAM-13757](https://issues.apache.org/jira/browse/BEAM-13757)).
+* Added option to specify a caching directory (Python) ([BEAM-13685](https://issues.apache.org/jira/browse/BEAM-13685)).
+* Added support for caching batch pipelines to GCS (Python) ([BEAM-13734](https://issues.apache.org/jira/browse/BEAM-13734)).
Review comment:
Please specify that these improvements were specific to Interactive Beam
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File path: CHANGES.md
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@@ -103,6 +104,7 @@
* Pipeline dependencies supplied through `--requirements_file` will now be staged to the runner using binary distributions (wheels) of the PyPI packages for linux_x86_64 platform ([BEAM-4032](https://issues.apache.org/jira/browse/BEAM-4032)). To restore the behavior to use source distributions, set pipeline option `--requirements_cache_only_sources`. To skip staging the packages at submission time, set pipeline option `--requirements_cache=skip` (Python).
* The Flink runner now supports Flink 1.14.x ([BEAM-13106](https://issues.apache.org/jira/browse/BEAM-13106)).
+* The Interactive runner now supports remotely executing pipelines on Dataproc when the underlying runner is the Flink runner (Python) ([BEAM-14071](https://issues.apache.org/jira/browse/BEAM-14071)).
Review comment:
This can be shortened to:
"Interactive Beam now supports remotely executing Flink pipelines on Dataproc"
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