svn commit: r27352 - in /dev/spark/2.3.2-SNAPSHOT-2018_06_08_22_01-1582945-docs: ./ _site/ _site/api/ _site/api/R/ _site/api/java/ _site/api/java/lib/ _site/api/java/org/ _site/api/java/org/apache/ _s

Author: pwendell Date: Sat Jun 9 05:19:58 2018 New Revision: 27352 Log: Apache Spark 2.3.2-SNAPSHOT-2018_06_08_22_01-1582945 docs [This commit notification would consist of 1443 parts, which exceeds the limit of 50 ones, so it was shortened to the summary.]

svn commit: r27349 - in /dev/spark/2.4.0-SNAPSHOT-2018_06_08_20_01-f07c506-docs: ./ _site/ _site/api/ _site/api/R/ _site/api/java/ _site/api/java/lib/ _site/api/java/org/ _site/api/java/org/apache/ _s

Author: pwendell Date: Sat Jun 9 03:19:24 2018 New Revision: 27349 Log: Apache Spark 2.4.0-SNAPSHOT-2018_06_08_20_01-f07c506 docs [This commit notification would consist of 1466 parts, which exceeds the limit of 50 ones, so it was shortened to the summary.]

spark git commit: [SPARK-24468][SQL] Handle negative scale when adjusting precision for decimal operations

Repository: spark Updated Branches: refs/heads/branch-2.3 36f1d5e17 -> 1582945d0 [SPARK-24468][SQL] Handle negative scale when adjusting precision for decimal operations ## What changes were proposed in this pull request? In SPARK-22036 we introduced the possibility to allow precision loss

spark git commit: [SPARK-24468][SQL] Handle negative scale when adjusting precision for decimal operations

Repository: spark Updated Branches: refs/heads/master 36a340913 -> f07c5064a [SPARK-24468][SQL] Handle negative scale when adjusting precision for decimal operations ## What changes were proposed in this pull request? In SPARK-22036 we introduced the possibility to allow precision loss in

spark git commit: [SPARK-24412][SQL] Adding docs about automagical type casting in `isin` and `isInCollection` APIs

Repository: spark Updated Branches: refs/heads/master f433ef786 -> 36a340913 [SPARK-24412][SQL] Adding docs about automagical type casting in `isin` and `isInCollection` APIs ## What changes were proposed in this pull request? Update documentation for `isInCollection` API to clealy explain

svn commit: r27346 - in /dev/spark/2.4.0-SNAPSHOT-2018_06_08_16_01-f433ef7-docs: ./ _site/ _site/api/ _site/api/R/ _site/api/java/ _site/api/java/lib/ _site/api/java/org/ _site/api/java/org/apache/ _s

Author: pwendell Date: Fri Jun 8 23:16:11 2018 New Revision: 27346 Log: Apache Spark 2.4.0-SNAPSHOT-2018_06_08_16_01-f433ef7 docs [This commit notification would consist of 1466 parts, which exceeds the limit of 50 ones, so it was shortened to the summary.]

spark git commit: [SPARK-23010][K8S] Initial checkin of k8s integration tests.

Repository: spark Updated Branches: refs/heads/master b070ded28 -> f433ef786 [SPARK-23010][K8S] Initial checkin of k8s integration tests. These tests were developed in the https://github.com/apache-spark-on-k8s/spark-integration repo by several contributors. This is a copy of the current

[spark] Git Push Summary

Repository: spark Updated Tags: refs/tags/v2.3.1 [created] 30aaa5a3a - To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org

svn commit: r27341 - /dev/spark/v2.3.1-rc4-bin/ /release/spark/spark-2.3.1/

Author: vanzin Date: Fri Jun 8 20:27:13 2018 New Revision: 27341 Log: Moving Spark 2.3.1-rc4 to release area. Added: release/spark/spark-2.3.1/ - copied from r27339, dev/spark/v2.3.1-rc4-bin/ Removed: dev/spark/v2.3.1-rc4-bin/

svn commit: r27339 - /release/spark/KEYS

Author: vanzin Date: Fri Jun 8 20:23:28 2018 New Revision: 27339 Log: Updating KEYS file. Modified: release/spark/KEYS Modified: release/spark/KEYS == --- release/spark/KEYS (original) +++ release/spark/KEYS Fri

svn commit: r27338 - in /dev/spark/2.4.0-SNAPSHOT-2018_06_08_12_01-b070ded-docs: ./ _site/ _site/api/ _site/api/R/ _site/api/java/ _site/api/java/lib/ _site/api/java/org/ _site/api/java/org/apache/ _s

Author: pwendell Date: Fri Jun 8 19:16:03 2018 New Revision: 27338 Log: Apache Spark 2.4.0-SNAPSHOT-2018_06_08_12_01-b070ded docs [This commit notification would consist of 1466 parts, which exceeds the limit of 50 ones, so it was shortened to the summary.]

spark git commit: [SPARK-17756][PYTHON][STREAMING] Workaround to avoid return type mismatch in PythonTransformFunction

Repository: spark Updated Branches: refs/heads/master 1a644afba -> b070ded28 [SPARK-17756][PYTHON][STREAMING] Workaround to avoid return type mismatch in PythonTransformFunction ## What changes were proposed in this pull request? This PR proposes to wrap the transformed rdd within

spark git commit: [SPARK-23984][K8S] Initial Python Bindings for PySpark on K8s

Repository: spark Updated Branches: refs/heads/master 173fe450d -> 1a644afba [SPARK-23984][K8S] Initial Python Bindings for PySpark on K8s ## What changes were proposed in this pull request? Introducing Python Bindings for PySpark. - [x] Running PySpark Jobs - [x] Increased Default Memory

spark git commit: [SPARK-24477][SPARK-24454][ML][PYTHON] Imports submodule in ml/__init__.py and add ImageSchema into __all__

Repository: spark Updated Branches: refs/heads/master a5d775a1f -> 173fe450d [SPARK-24477][SPARK-24454][ML][PYTHON] Imports submodule in ml/__init__.py and add ImageSchema into __all__ ## What changes were proposed in this pull request? This PR attaches submodules to ml's `__init__.py`

svn commit: r27329 - in /dev/spark/2.4.0-SNAPSHOT-2018_06_08_08_01-a5d775a-docs: ./ _site/ _site/api/ _site/api/R/ _site/api/java/ _site/api/java/lib/ _site/api/java/org/ _site/api/java/org/apache/ _s

Author: pwendell Date: Fri Jun 8 15:17:07 2018 New Revision: 27329 Log: Apache Spark 2.4.0-SNAPSHOT-2018_06_08_08_01-a5d775a docs [This commit notification would consist of 1466 parts, which exceeds the limit of 50 ones, so it was shortened to the summary.]

spark git commit: [SPARK-24224][ML-EXAMPLES] Java example code for Power Iteration Clustering in spark.ml

Repository: spark Updated Branches: refs/heads/master 1462bba4f -> 2c100209f [SPARK-24224][ML-EXAMPLES] Java example code for Power Iteration Clustering in spark.ml ## What changes were proposed in this pull request? Java example code for Power Iteration Clustering in spark.ml ## How was