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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -520,29 +544,32 @@ private class LeastSquaresAggregator(
*
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This failure has nothing to do with my patch, may be a retest would help?
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cc @chenghao-intel @yhuai @liancheng
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Github user winningsix commented on the pull request:
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Hi @JoshRosen and @vanzin, do you have any further comments about this PR?
The library Chimera is maintained by Intel. One way to address your comments is
to move
Github user jaceklaskowski commented on the pull request:
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> Still, probably best to just merge this, as it's unlikely to cause much
if any trouble.
Would you? I'd greatly appreciate (and propose new changes :-))
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Yes, you can't quite just add the method to this trait as it is technically
a breaking change. For various reasons, i believe we can exclude it.
However, I
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@rxin Added comments
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I've merged this.
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--- Diff: core/src/main/scala/org/apache/spark/rpc/netty/NettyRpcEnv.scala
---
@@ -0,0 +1,485 @@
+/*
+ * Licensed to the Apache Software Foundation
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Github user rxin commented on the pull request:
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Will take a look later. But given it is early in the release cycle, I'm
also ok with merging it first and do post-hoc reviews & feedback addressing
later.
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Left some minor feedback. After those are taken care of, this LGTM. @rxin
did you mean to also take a look at this?
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@andrewor14 Can you take a quick look.
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--- Diff: core/src/main/scala/org/apache/spark/MapOutputTracker.scala ---
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Looks like the build is good and it has already passed `JsonSuite`. I am
merging it to branch 1.5.
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Oops race condition.
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LGTM
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Jenkins, test this please.
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Closing it.
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I've merged this.
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Github user zhichao-li commented on the pull request:
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@liancheng I guess there's still some issue like:
i.e: If user specify serde with "LazySimpleSerde" explicitly, then it
would use `Text.write` to serialize
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -300,7 +300,7 @@ def take(self, num):
>>> df.take(2)
[Row(age=2, name=u'Alice'),
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -300,7 +300,7 @@ def take(self, num):
>>> df.take(2)
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