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+-- Unit tests
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@liyinan926 done.
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@felixcheung could you review pls?
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Github user jerryshao commented on the issue:
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Seems this paragraph is already removed in master branch
(https://issues.apache.org/jira/browse/SPARK-19810). So this is a branch 2.2-
issue only.
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sure @squito .
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-- Automatically generated by
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Github user icexelloss commented on the issue:
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@rxin @gatorsmile thanks for joining the discussion!
On the configuration side, we have already some mechanism to do so for the
"timezone" config:
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I'm in favor of merging this. The hardcoded limit is pretty bad -
particularly for streaming jobs; it would be preferable to remove it ASAP even
though it may not be a complete solution.
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retest this please
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[SPARK-19112][CORE][FOLLOW-UP] Add missing shortCompressionCodecNames to
configuration.
## What changes were proposed in this pull request?
Spark provides three codecs: `lz4`, `lzf`,
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cc @vanzin
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+--
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Done!
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Github user DylanGuedes commented on the issue:
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During the last days I looked for other ways to use `getValue` properly
without such repetition, but didn't get success at all :(
suggestions are (very) welcome
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kindly ping @gatorsmile
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[SPARK-23820][CORE] Enable use of long form of callsite in logs
You can merge this pull request into a Git repository by running:
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[SPARK-24373][SQL] Add AnalysisBarrier to RelationalGroupedDataset's child
## What changes were proposed in this pull request?
When we create a `RelationalGroupedDataset` we set its child
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Can one of the admins verify this patch?
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Can one of the admins verify this patch?
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Github user TomaszGaweda commented on the issue:
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Probably similar change should be also in KeyValueGroupedDataset. It also
uses logicalPlan without AnalysisBarrie
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Github user HyukjinKwon commented on the issue:
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btw, we should really mark this as experimental and allow a bit of
behaviour changes really. I guess that's what we meat by Experimental:
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Github user viirya commented on the issue:
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@cloud-fan I found that the way to collect method parameters in the use
case can be simplified. Updated in the PR description. Please take a look when
you have time. Thanks.
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> How was this patch tested?
BTW, I also assume you manually tested `zstd` works as documented?
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retest this please
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[SPARK-23991][DSTREAMS] Fix data loss when WAL write fails in
allocateBlocksToBatch
## What changes were proposed in this pull request?
When blocks tried to get allocated to a batch
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--- Diff:
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@@ -308,12 +354,16 @@ class ReceivedBlockTrackerSuite
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Merged to 2.2 also.
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Github user edwinalu commented on a diff in the pull request:
https://github.com/apache/spark/pull/21221#discussion_r190995781
--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -800,26 +812,50 @@ private[spark] class Executor(
}
}
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