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Thanks for approving this approach. I will handle the comment soon.
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I'm closing this in favor of https://github.com/apache/spark/pull/17916
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LGTM
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@yhuai okay, thanks for letting me know! I'll make a new pr to fix.
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Are there any comments on this PR or is it ready to be merged?
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Yea. Probably, I think it should check if the length is single with another
test as well and checking this would not harm.
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Thanks @HyukjinKwon, I like this approach better!
One limitation of this patch however is that if there are ever two internal
datasources in Spark with the same `shortName`, we might'v
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GitHub user JoshRosen opened a pull request:
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[SPARK-20685] Fix BatchPythonEvaluation bug in case of single UDF w/
repeated arg.
## What changes were proposed in this pull request?
There's a latent corner-case bug in PySpark UDF ev
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Hi, @10110346 .
What about `round`?
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@srowen passed test, this good to merge?
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@uncleGen Thanks! LGTM. Merging to master and 2.2.
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> Could you check whether there exists any limit on predicate we can pass
to Hive?
There are, and I found something in the way of documentation or a grammar a
while back that specifies the
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Github user mallman commented on the issue:
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I've pushed a new commit removing the logical for handling "foldables",
since these are evaluated earlier in planning.
I've also removed the modifications I made to `FiltersSuite.scala` and
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I have reverted this change from both master and branch-2.2. I have
reopened the jira.
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This is a rollback of an old Spark 1.1 blocker by @pwendell
[SPARK-3020](https://issues.apache.org/jira/browse/SPARK-3020). it seems this
was intentionally done this way
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I am going to revert this PR from master and branch-2.2.
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Github user yhuai commented on the issue:
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@maropu Sorry. I think this PR introduces a regression.
```
scala> spark.sql("select * from range(1, 10) cross join range(1,
10)").explain
== Physical Plan ==
org.apache.spark.sql.
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Retest this please.
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ok to test
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Can one of the admins verify this patch?
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GitHub user patrick-nicholson opened a pull request:
https://github.com/apache/spark/pull/17926
[MINOR][SQL][PYSPARK] Allow user to specify numSlices in
SparkSession.createDataFrame
## What changes were proposed in this pull request?
In my experience, pushing `pandas.DataFr
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/17854
The reason why `spark.yarn.containerLauncherMaxThreads` does not work here
is because it only control how many threads simultaneously send a container
start command to YARN; that is usually a much qu
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17925
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GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/17925
[SPARK-20205][core] Make sure StageInfo is updated before sending event.
The DAGScheduler was sending a "stage submitted" event before it properly
updated the event's information. This meant that
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/17925
@squito
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17916
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17916
retest this please
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Github user foxish commented on the issue:
https://github.com/apache/spark/pull/17854
In Kubernetes/Spark, we see fairly similar behavior in the scenario
described. When the simultaneous container launching is not throttled, it is
capable of DOSing the system. Our solution so far is t
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/17924
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Test FAILed.
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Github user SparkQA commented on the issue:
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Github user AmplabJenkins commented on the issue:
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Merged build finished. Test FAILed.
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Github user SparkQA commented on the issue:
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