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GitHub user squito opened a pull request:
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[SPARK-25400][CORE] Increase test timeouts
We've seen some flakiness in jenkins which looks like it just needs a
longer timeout.
You can merge this pull request into a Git repository by running
Github user squito commented on the issue:
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retest this please.
I took a look at the failures, pretty certain its unrelated, and I filed
https://issues.apache.org/jira/browse/SPARK-25400 to increase the timeouts in
one of those failur
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jenkins, retest this, please
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -880,18 +880,23 @@ def sampleBy(self, col, fractions, seed=None):
| 0|5|
| 1
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Github user phegstrom commented on the issue:
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hey @HyukjinKwon, I'm seeing two tests fail in the most recent run, but
traces don't seem related to any of my changes -- not to mention the test name
is `(It is not a test it is a sbt.testing.Sui
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+/*
+ * Licensed to the Apache Software Foundation (
Github user holdenk commented on the issue:
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I'm a little slammed this week until Friday, I'll try and cycle back then.
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Github user gatorsmile commented on the issue:
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@michaelmior Since Spark 2.4 is branch cut, this PR still needs more
review. I would revert this PR from branch 2.4 and master first. We can discuss
the conf and implementation in the master bran
Github user cclauss commented on the issue:
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@srowen Could you please provide some test cases in Python 2 and Python 3
to prove that the changes that you propose will be properly interpreted without
side effects in both?
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Github user dzanozin commented on the issue:
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The code still generated method signatures like this in Spark v2.3.1 (and
obviously fails because of `agg_expr_21` duplication):
```Java
private void agg_doConsume1(byte agg_expr_01, boolean
Github user MaxGekk commented on a diff in the pull request:
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--- Diff: docs/sql-programming-guide.md ---
@@ -1897,6 +1897,7 @@ working with timestamps in `pandas_udf`s to get the
best performance, see
- In vers
Github user MaxGekk commented on the issue:
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> mind adding Closes #22234 at the end of PR description so that we can
automatically close that one?
Just in case, this PR for `branch-2.4` but the original #22234 for `master`.
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Github user gatorsmile commented on the issue:
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I am fixing it now. Thanks!
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We are very conservative when backporting the PR to the released version.
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@@ -584,8 +583,7 @@ private object LiveEntityHelpers {
.filter { acc =>
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[SPARK-25398][CORE][MESOS] Minor bugs from comparing unrelated types
## What changes were proposed in this pull request?
Correct some comparisons between unrelated types to what they seem to
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cc @jinxing64 @hvanhovell @MaxGekk
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> If this targets for 3.0, can we postpone this until the master branch
get 3.0.0-SNAPSHOT?
@dongjoon-hyun Yes, sure.
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@MaxGekk . If this targets for 3.0, can we postpone this until the master
branch get `3.0.0-SNAPSHOT`?
> The PR targets Spark 3.0 in which the flag can be removed.
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--- Diff: sql/catalyst/pom.xml ---
@@ -103,6 +103,12 @@
commons-codec
commons-codec
+
+ com.univocity
+
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@cloud-fan yeah that's totally an option. Since @rxin asked for it to use
`reduceByKey` I went with that approach, but I'd be happy to use the
`ExternalAppendOnlyMap` if that's ok with folks.
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retest this please
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Sh
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Github user dbrinegar commented on the issue:
https://github.com/apache/spark/pull/22381
This is quite a nice improvement for monitoring. The rest api is great for
UI and consolidated analytics, but monitoring through it is not as
straightforward as when the data emits directly from
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Github user srowen commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/status/AppStatusListener.scala ---
@@ -382,11 +392,37 @@ private[spark] class AppStatusListener(
}
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Github user srowen commented on the issue:
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@holdenk what do you think about the change I proposed above? I didn't know
enough to know whether this was the right fix
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