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[GitHub] [spark] dongjoon-hyun opened a new pull request #27641:
[SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
dongjoon-hyun opened a new pull request #27641: [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
URL: https://github.com/apache/spark/pull/27641
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[GitHub] [spark] SparkQA commented on issue #27641: [SPARK-30884][PYSPARK]
Upgrade to Py4J 0.10.9
Posted by GitBox <gi...@apache.org>.
SparkQA commented on issue #27641: [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
URL: https://github.com/apache/spark/pull/27641#issuecomment-588754661
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[GitHub] [spark] dongjoon-hyun closed pull request #27641:
[SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun closed pull request #27641: [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
URL: https://github.com/apache/spark/pull/27641
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[GitHub] [spark] HyukjinKwon commented on issue #27641:
[SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on issue #27641: [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
URL: https://github.com/apache/spark/pull/27641#issuecomment-588953866
retest this please.
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Upgrade to Py4J 0.10.9
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**[Test build #118698 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/118698/testReport)** for PR 27641 at commit [`43da2e2`](https://github.com/apache/spark/commit/43da2e265754efd524a0cbfe107ac0daf7ec393a).
* This patch **fails due to an unknown error code, -9**.
* This patch merges cleanly.
* This patch adds no public classes.
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Upgrade to Py4J 0.10.9
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* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27641:
[SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on a change in pull request #27641: [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
URL: https://github.com/apache/spark/pull/27641#discussion_r382136502
##########
File path: python/README.md
##########
@@ -29,4 +29,4 @@ The Python packaging for Spark is not intended to replace all of the other use c
## Python Requirements
-At its core PySpark depends on Py4J (currently version 0.10.8.1), but some additional sub-packages have their own extra requirements for some features (including numpy, pandas, and pyarrow).
+At its core PySpark depends on Py4J (currently version 0.10.9), but some additional sub-packages have their own extra requirements for some features (including numpy, pandas, and pyarrow).
Review comment:
Thanks. I'll remove that during merging.
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[SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
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[GitHub] [spark] dongjoon-hyun commented on issue #27641:
[SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
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dongjoon-hyun commented on issue #27641: [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
URL: https://github.com/apache/spark/pull/27641#issuecomment-588650135
Thank you for review and approval, @HyukjinKwon .
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[GitHub] [spark] dongjoon-hyun commented on issue #27641:
[SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
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dongjoon-hyun commented on issue #27641: [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
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Retest this please.
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[GitHub] [spark] SparkQA commented on issue #27641: [SPARK-30884][PYSPARK]
Upgrade to Py4J 0.10.9
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**[Test build #118715 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/118715/testReport)** for PR 27641 at commit [`43da2e2`](https://github.com/apache/spark/commit/43da2e265754efd524a0cbfe107ac0daf7ec393a).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] srowen commented on a change in pull request #27641:
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srowen commented on a change in pull request #27641: [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
URL: https://github.com/apache/spark/pull/27641#discussion_r382044995
##########
File path: python/README.md
##########
@@ -29,4 +29,4 @@ The Python packaging for Spark is not intended to replace all of the other use c
## Python Requirements
-At its core PySpark depends on Py4J (currently version 0.10.8.1), but some additional sub-packages have their own extra requirements for some features (including numpy, pandas, and pyarrow).
+At its core PySpark depends on Py4J (currently version 0.10.9), but some additional sub-packages have their own extra requirements for some features (including numpy, pandas, and pyarrow).
Review comment:
This is fine. You could also just not mention version here, to avoid maintaining this reference.
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[GitHub] [spark] dongjoon-hyun commented on issue #27641:
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Merged to master/3.0.
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