This is an automated email from the ASF dual-hosted git repository.
stankiewicz 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 cf27972eb10 Update CHANGES.md with new known issues (#39898)
cf27972eb10 is described below
commit cf27972eb10d81df85f25c22757d31073d6a4c9f
Author: Danny McCormick <[email protected]>
AuthorDate: Thu Aug 27 13:34:15 2026 +0000
Update CHANGES.md with new known issues (#39898)
* Update CHANGES.md with new known issues
Added known issues related to performance regression and memory spikes for
Java pipelines.
---
CHANGES.md | 4 ++++
1 file changed, 4 insertions(+)
diff --git a/CHANGES.md b/CHANGES.md
index 151cbe14aaa..903f65b50a6 100644
--- a/CHANGES.md
+++ b/CHANGES.md
@@ -204,6 +204,8 @@
* (Java) Projects using the Flink runner with Flink 2.1 or later alongside
libraries requiring `org.lz4:lz4-java` (e.g., Kafka clients) may encounter a
Gradle capability conflict, because Flink 2.1+ ships `at.yawk.lz4:lz4-java`
which declares the same capability. To resolve, add a `capabilitiesResolution`
rule to your `build.gradle` that selects `at.yawk.lz4:lz4-java`
([#38947](https://github.com/apache/beam/issues/38947)).
* (Python) Long-running Python pipelines might experience memory growth and
periodic OOMs ([#39406](https://github.com/apache/beam/issues/39406)).
+* (Java) Pipelines with a moderate to heavy Cloud Storage read workload might
experience a performance regression
([#39548](https://github.com/apache/beam/issues/39548)).
+* (Java) Pipelines using the Dataflow Runner and Java versions 17+ may
experience spiky memory caused by a JVM upgrade in the runner image
([#39897](https://github.com/apache/beam/issues/39897).
# [2.74.0] - 2026-06-02
@@ -249,6 +251,8 @@
## Known Issues
* (Python) Long-running Python pipelines might experience memory growth and
periodic OOMs ([#39406](https://github.com/apache/beam/issues/39406)).
+* (Java) Pipelines with a moderate to heavy Cloud Storage read workload might
experience a performance regression
([#39548](https://github.com/apache/beam/issues/39548)).
+* (Java) Pipelines using the Dataflow Runner and Java versions 17+ may
experience spiky memory caused by a JVM upgrade in the runner image
([#39897](https://github.com/apache/beam/issues/39897).
# [2.73.0] - 2026-04-29