[beam] branch users/damccorm/changes created (now 082c82af4ae)

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      at 082c82af4ae Move changes to correct release in CHANGES.md

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     new 082c82af4ae Move changes to correct release in CHANGES.md

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[beam] 01/01: Move changes to correct release in CHANGES.md

[da...@apache.org]

This is an automated email from the ASF dual-hosted git repository.

damccorm pushed a commit to branch users/damccorm/changes
in repository https://gitbox.apache.org/repos/asf/beam.git

commit 082c82af4ae3eb53b4b4e526a6e5f88121650293
Author: Danny McCormick <da...@google.com>
AuthorDate: Thu Feb 2 12:19:41 2023 -0500

    Move changes to correct release in CHANGES.md
---
 CHANGES.md | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/CHANGES.md b/CHANGES.md
index 99d76eac7b5..b26b5f886fd 100644
--- a/CHANGES.md
+++ b/CHANGES.md
@@ -62,7 +62,9 @@
 
 ## New Features / Improvements
 
-* X feature added (Java/Python) ([#X](https://github.com/apache/beam/issues/X)).
+* Add UDF metrics support for Samza portable mode.
+* Option for SparkRunner to avoid the need of SDF output to fit in memory ([#23852](https://github.com/apache/beam/issues/23852)).
+  This helps e.g. with ParquetIO reads. Turn the feature on by adding experiment `use_bounded_concurrent_output_for_sdf`.
 
 ## Breaking Changes
 
@@ -95,13 +97,9 @@
 ## New Features / Improvements
 
 * RunInference Wrapper with Sklearn Model Handler support added in Go SDK ([#24497](https://github.com/apache/beam/issues/23382)).
-* X feature added (Java/Python) ([#X](https://github.com/apache/beam/issues/X)).
 * Adding override of allowed TLS algorithms (Java), now maintaining the disabled/legacy algorithms
   present in 2.43.0 (up to 1.8.0_342, 11.0.16, 17.0.2 for respective Java versions). This is accompanied
   by an explicit re-enabling of TLSv1 and TLSv1.1 for Java 8 and Java 11.
-* Add UDF metrics support for Samza portable mode.
-* Option for SparkRunner to avoid the need of SDF output to fit in memory ([#23852](https://github.com/apache/beam/issues/23852)).
-  This helps e.g. with ParquetIO reads. Turn the feature on by adding experiment `use_bounded_concurrent_output_for_sdf`.
 
 ## Breaking Changes