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Add known python issue #30701

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Mar 21, 2024
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Add known python issue #30701

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Add known python issue
damccorm Mar 21, 2024
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damccorm Mar 21, 2024
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38 changes: 37 additions & 1 deletion CHANGES.md
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Expand Up @@ -52,6 +52,40 @@

* ([#X](https://github.com/apache/beam/issues/X)).
-->
# [2.56.0] - Unreleased

## Highlights

* New highly anticipated feature X added to Python SDK ([#X](https://github.com/apache/beam/issues/X)).
* New highly anticipated feature Y added to Java SDK ([#Y](https://github.com/apache/beam/issues/Y)).

## I/Os

* Support for X source added (Java/Python) ([#X](https://github.com/apache/beam/issues/X)).

## New Features / Improvements

* X feature added (Java/Python) ([#X](https://github.com/apache/beam/issues/X)).

## Breaking Changes

* X behavior was changed ([#X](https://github.com/apache/beam/issues/X)).

## Deprecations

* X behavior is deprecated and will be removed in X versions ([#X](https://github.com/apache/beam/issues/X)).

## Bugfixes

* Fixed locking issue when shutting down inactive bundle processors. Symptoms of this issue include slowness or stuckness in long-running jobs (Python) ([#30679](https://github.com/apache/beam/pull/30679)).
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@tvalentyn tvalentyn Mar 21, 2024 •
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thanks, did the locking cause slowness or also stuckness? What would cause stuckness?

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It definitely seemed to cause slowness (we saw lock contention for this lock in a very slow job). Stuckness may not be quite true, but in this case at least it was slow enough that it was perceived as stuckness at points


## Security Fixes
* Fixed (CVE-YYYY-NNNN)[https://www.cve.org/CVERecord?id=CVE-YYYY-NNNN] (Java/Python/Go) ([#X](https://github.com/apache/beam/issues/X)).

## Known Issues

* ([#X](https://github.com/apache/beam/issues/X)).

# [2.55.0] - Unreleased

## Highlights
Expand Down Expand Up @@ -106,7 +140,7 @@

## Known Issues

* ([#X](https://github.com/apache/beam/issues/X)).
* 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)).

# [2.54.0] - 2024-02-14

Expand Down Expand Up @@ -147,6 +181,7 @@

* 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)).

# [2.53.0] - 2024-01-04

Expand Down Expand Up @@ -190,6 +225,7 @@
* 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)).

# [2.52.0] - 2023-11-17

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9 changes: 9 additions & 0 deletions website/www/site/content/en/blog/beam-2.53.0.md
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Expand Up @@ -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!
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6 changes: 5 additions & 1 deletion website/www/site/content/en/blog/beam-2.54.0.md
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Expand Up @@ -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

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