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Jenkins, retest this please.
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cc @marmbrus
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/9688
[SPARK-11654][SQL][follow-up] fix some mistakes and clean up
* rename `AppendColumn` to `AppendColumns` to be consistent with the
physical plan name.
* clean up stale comments.
* always pa
GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/9687
[SPARK-11677][SQL ]ORC filter tests all pass if filters are actually not
pushed down.
Currently ORC filters are not tested properly. All the tests pass even if
the filters are not pushed down o
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Github user HyukjinKwon commented on the pull request:
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All the builds pass all the tests at `ParquetIOSuite` and I do not think it
affects other modules such as ML.
I will retest this.
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retest this please
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Github user davies commented on the pull request:
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cc @andrewor14
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GitHub user davies opened a pull request:
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[SPARK-8029] robust shuffle writer
Currently, all the shuffle writer will write to target path directly, the
file could be corrupted by other attempt of the same partition on the same
executor. They
GitHub user nongli opened a pull request:
https://github.com/apache/spark/pull/9685
[SPARK-11724] [SQL] Change casting between int and timestamp to consiâ¦
â¦stently treat int in seconds.
The current behavior is odd but there were a few tests that verified it.
Not sure if
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Github user liancheng commented on the pull request:
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Hopefully PR #9677 fixes the flaky MLlib tests.
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/GroupedDataset.scala
---
@@ -137,8 +137,19 @@ class GroupedDataset[K, T] private[sql](
}
Github user liancheng commented on the pull request:
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retest this please
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Github user Tarrasch commented on the pull request:
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> I don't know that in general Spark scripts work at all with zsh.
You launch a binary, you don't source a script. The shell you invoke a
binary from doesn't ma
Github user jerryshao commented on the pull request:
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@andrewor14 , from my understanding this wrong ordering is happened when
driver explicitly abort the running stages because of exceeding max failures.
So `SparkListene
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Github user jerryshao commented on the pull request:
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This is a bit of breaking the semantics of current Spark Streaming. Besides
why only in direct Kafka stream if this targets to a general solution.
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ok thanks.
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The failed test is not related, I'm merging this into master, will create
another PR for other branches.
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Github user jerryshao commented on the pull request:
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@XuTingjun , I'm OK with the current way if finding the root cause is a
little bit complicated. Just need to add more comments why we have to change to
that way.
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Github user adrian-wang commented on the pull request:
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retest this please.
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Github user carsonwang commented on the pull request:
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Hi @vanzin, I updated the code to address your comments. Thank you!
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Github user WangTaoTheTonic commented on the pull request:
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ok once jacky raise the PR, I will close this one.
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--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -538,6 +549,11 @@ private[yarn] class YarnAllocator(
if (exec
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--- Diff:
examples/src/main/java/org/apache/spark/examples/ml/JavaMultilayerPerceptronClassifierExample.java
---
@@ -0,0 +1,74 @@
+/*
+ * Licensed
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I think we should keep the ```DecisionTreeExample```, so closing this PR.
Thanks for your comments. @mengxr
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[SPARK-11718][Yarn][Core]Fix explicitly killing executor dies silently issue
Currently if dynamic allocation is enabled, explicitly killing executor
will not get response, so the executor metadata
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Github user felixcheung commented on the pull request:
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I think 9366 is about computing corr or cov matrix whereas this is
computing corr between two columns. They seem to be useful in their own ways.
Also this is already
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Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/9651#discussion_r44752326
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala ---
@@ -519,13 +526,33 @@ abstract class HadoopFsRelation
private[sql](mayb
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