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The following commit(s) were added to refs/heads/users/damccorm/knownIssue by this push: new 72c5e3e24e5 Add blogs 72c5e3e24e5 is described below commit 72c5e3e24e5dd5cf154e8b7aed0ae23c7bed382e Author: Danny McCormick <dannymccorm...@google.com> AuthorDate: Thu Mar 21 04:55:43 2024 -0400 Add blogs --- website/www/site/content/en/blog/beam-2.53.0.md | 9 +++++++++ website/www/site/content/en/blog/beam-2.54.0.md | 6 +++++- 2 files changed, 14 insertions(+), 1 deletion(-) diff --git a/website/www/site/content/en/blog/beam-2.53.0.md b/website/www/site/content/en/blog/beam-2.53.0.md index 14c55956bc1..9a15e86ef3d 100644 --- a/website/www/site/content/en/blog/beam-2.53.0.md +++ b/website/www/site/content/en/blog/beam-2.53.0.md @@ -62,6 +62,15 @@ For more information on changes in 2.53.0, check out the [detailed release notes * Upgraded to go 1.21.5 to build, fixing [CVE-2023-45285](https://security-tracker.debian.org/tracker/CVE-2023-45285) and [CVE-2023-39326](https://security-tracker.debian.org/tracker/CVE-2023-39326) +## Known Issues + +* Potential race condition causing NPE in DataflowExecutionStateSampler in Dataflow Java Streaming pipelines ([#29987](https://github.com/apache/beam/issues/29987)). +* Some Python pipelines that run with 2.52.0-2.54.0 SDKs and use large materialized side inputs might be affected by a performance regression. To restore the prior behavior on these SDK versions, supply the `--max_cache_memory_usage_mb=0` pipeline option. ([#30360](https://github.com/apache/beam/issues/30360)). +* Python pipelines that run with 2.53.0-2.54.0 SDKs and perform file operations on GCS might be affected by excess HTTP requests. This could lead to a performance regression or a permission issue. ([#28398](https://github.com/apache/beam/issues/28398)) +* In Python pipelines, when shutting down inactive bundle processors, shutdown logic can overaggressively hold the lock, blocking acceptance of new work. Symptoms of this issue include slowness or stuckness in long-running jobs. Fixed in 2.56.0 ([#30679](https://github.com/apache/beam/pull/30679)). + +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 2.53.0 release. Thank you to all contributors! diff --git a/website/www/site/content/en/blog/beam-2.54.0.md b/website/www/site/content/en/blog/beam-2.54.0.md index 96210859453..a3d649ec6f3 100644 --- a/website/www/site/content/en/blog/beam-2.54.0.md +++ b/website/www/site/content/en/blog/beam-2.54.0.md @@ -61,7 +61,11 @@ For more information on changes in 2.54.0, check out the [detailed release notes ## Known Issues -* N/A +* Some Python pipelines that run with 2.52.0-2.54.0 SDKs and use large materialized side inputs might be affected by a performance regression. To restore the prior behavior on these SDK versions, supply the `--max_cache_memory_usage_mb=0` pipeline option. ([#30360](https://github.com/apache/beam/issues/30360)). +* Python pipelines that run with 2.53.0-2.54.0 SDKs and perform file operations on GCS might be affected by excess HTTP requests. This could lead to a performance regression or a permission issue. ([#28398](https://github.com/apache/beam/issues/28398)) +* In Python pipelines, when shutting down inactive bundle processors, shutdown logic can overaggressively hold the lock, blocking acceptance of new work. Symptoms of this issue include slowness or stuckness in long-running jobs. Fixed in 2.56.0 ([#30679](https://github.com/apache/beam/pull/30679)). + +For the most up to date list of known issues, see https://github.com/apache/beam/blob/master/CHANGES.md ## List of Contributors