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> the problem is with the standard pickling too, right?
Yup.
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We are going to cut another RC?
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[MINOR][PYTHON] Minor doc correction for 'spark.sql.execution.arrow.enabled'
## What changes were proposed in this pull request?
This PR proposes to fix the description for
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This is not a big issue unless when we run Spark Streaming with checkpoint
enabled. I'm not sure for now it is OK to add to 2.3.0 release (as this is not
a block issue).
@felixcheung up
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retest this please
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@zjffdu @HyukjinKwon please help to review. Thanks!
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Thanks @mgaido91 and @jkbradley for working on this and others for review
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[SPARK-23228][PYSPARK] Add Python Created jsparkSession to JVM's
defaultSession
## What changes were proposed in this pull request?
In the current PySpark code, Python created
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[SPARK-23229][SQL] Dataset.hint should use planWithBarrier logical plan
## What changes were proposed in this pull request?
Every time `Dataset.hint` is used it triggers execution
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However, Spark Streaming should always be used with checkpoint enabled if
you are using at least `updateStateByKey` or `reduceByKeyAndWindow` and you
don't want to lose data, or miscalculate
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20400#discussion_r164078885
--- Diff: python/pyspark/sql/functions.py ---
@@ -809,6 +809,36 @@ def ntile(n):
return Column(sc._jvm.functions.ntile(int(n)))
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/20403
retest this please
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Github user foxish commented on the issue:
https://github.com/apache/spark/pull/20383
I'm ok with backporting it once the non-existent config is removed and
we're confident we're covering all the requisite config. Also would make sense
to have a test under
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/20369
Merged build finished. Test FAILed.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/20369
Test FAILed.
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Test FAILed.
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