This is an automated email from the ASF dual-hosted git repository.
tvalentyn pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/beam.git
The following commit(s) were added to refs/heads/master by this push:
new 2db9b8097b7 Mention known issues in release notes. (#31088)
2db9b8097b7 is described below
commit 2db9b8097b79618c2d3d8c76c45a2fc979196ab3
Author: tvalentyn <tvalen...@users.noreply.github.com>
AuthorDate: Wed Apr 24 14:16:12 2024 -0700
Mention known issues in release notes. (#31088)
---
CHANGES.md | 3 +++
1 file changed, 3 insertions(+)
diff --git a/CHANGES.md b/CHANGES.md
index 5fc2509ade8..97894b08374 100644
--- a/CHANGES.md
+++ b/CHANGES.md
@@ -84,6 +84,7 @@
* 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)).
* Fixed logging issue that caused silecing the pip output when installing of
dependencies provided in `--requirements_file` (Python).
+* Fixed pipeline stuckness issue by disallowing versions of grpcio that can
cause the stuckness (Python)
([#30867](https://github.com/apache/beam/issues/30867)).
## 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)).
@@ -144,6 +145,7 @@
* 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)).
* WriteToJson broken in languages other than Java (X-lang)
([#30776](https://github.com/apache/beam/issues/30776)).
+* Python pipelines might occasionally become stuck due to a regression in
grpcio ([#30867](https://github.com/apache/beam/issues/30867)). The issue
manifests frequently with Bigtable IO connector, but might also affect other
GCP connectors. Fixed in 2.56.0.
# [2.54.0] - 2024-02-14
@@ -274,6 +276,7 @@ as a workaround, a copy of "old" `CountingSource` class
should be placed into a
* MLTransform drops the identical elements in the output PCollection. For any
duplicate elements, a single element will be emitted downstream.
([#29600](https://github.com/apache/beam/issues/29600)).
* 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. (Python)
([#30360](https://github.com/apache/beam/issues/30360)).
+* Users who lauch Python pipelines in an environment without internet access
and use the `--setup_file` pipeline option might experience an increase in
pipeline submission time. This has been fixed in 2.56.0
([#31070](https://github.com/apache/beam/pull/31070)).
# [2.51.0] - 2023-10-03
