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[SPARK-26119][CORE][WEBUI]Task summary table should contain only successful
tasks' metrics
## What changes were proposed in this pull request?
Task summary table in the stage page
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> > Probably also want to update `docs/running-on-kubernetes.md` to make it
clear that you now have to opt into building the additional language bindings
>
> @rvesse ... Actually, the
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> Probably also want to update `docs/running-on-kubernetes.md` to make it
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@rvesse ... Actually, the usage
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--- Diff: python/pyspark/ml/classification.py ---
@@ -1176,8 +1176,8 @@ def trees(self):
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Thank you @srowen
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--- Diff:
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LGTM except the migration guide. JSON data source can't produce null rows,
but skip it even with permisive mode.
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hmmm it conflicts again...
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Amazingly fast update, nice one. :)
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--- Diff: project/MimaExcludes.scala ---
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retest this please
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retest this please
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[SPARK-26141] Enable custom shuffle metrics implementation in shuffle write
## What changes were proposed in this pull request?
This is the write side counterpart to
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cc @jiangxb1987 @squito
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Merging this. Feel free to leave more comments. I'm hoping we can wire this
into the UI eventually.
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When evaluating these things I use git blame (or visual tools here and in
an IDE) to figure out if there was a previous change that explicitly tried to
change the behavior, and whether it was on
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Yeah, I can't imagine merging support for any other resource manager I know
of now; it's just way too much to maintain. I have not heard of this one
myself. It should be implemented outside Spark.
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Github user rxin commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/executor/ShuffleReadMetrics.scala ---
@@ -122,34 +123,3 @@ class ShuffleReadMetrics private[spark] () extends
GitHub user rxin opened a pull request:
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[SPARK-26140] Pull TempShuffleReadMetrics creation out of shuffle reader
## What changes were proposed in this pull request?
This patch defines an internal Spark interface for reporting shuffle
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/23098#discussion_r235418193
--- Diff: bin/load-spark-env.cmd ---
@@ -21,37 +21,42 @@ rem This script loads spark-env.cmd if it exists, and
ensures it is only loaded
rem
Github user icexelloss commented on a diff in the pull request:
https://github.com/apache/spark/pull/22305#discussion_r235417425
--- Diff: python/pyspark/worker.py ---
@@ -154,6 +154,47 @@ def wrapped(*series):
return lambda *a: (wrapped(*a), arrow_return_type)
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/23052
Also, it's not always for Parquet to write empty files. That does not write
empty files when data frames are created from emptyRDD (the one pointed out in
the PR link I gave). We should match
Github user HyukjinKwon commented on the issue:
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LGTM2
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