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+cc @jkbradley @srowen
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retest this please
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Github user pwoody commented on the pull request:
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Hey apologies for the late reply!
There are effectively two failure modes w.r.t the memory manager:
1. If you retain the SparkPlan then the broadcast
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--- Diff:
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GitHub user zsxwing opened a pull request:
https://github.com/apache/spark/pull/13201
[SPARK-15416][PySpark]Display a better message for not finding classes
removed in Spark 2.0
## What changes were proposed in this pull request?
If finding `NoClassDefFoundError` or
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@andrewor14 So the problem is that getOrCreate() is not aware of the
configuration (which could be different from the existing one), should we show
an warning on that?
Github user rxin commented on the pull request:
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I've done it here: https://github.com/apache/spark/pull/13200
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Github user dbtsai commented on the pull request:
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Since this is a private API, this will not affect anything. Given that we
are using 'asML' now, I believe that it worths to make them consistent.
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--- Diff: core/src/main/java/org/apache/spark/VersionInfo.java ---
@@ -0,0 +1,131 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
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GitHub user rdblue opened a pull request:
https://github.com/apache/spark/pull/13206
[SPARK-15420] [SQL] Add repartition and sort to prepare output data
## What changes were proposed in this pull request?
* WriterContainer detects that the incoming logical plan has been
Github user rxin commented on the pull request:
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cc @andrewor14 too who wrote some of this
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/13148#issuecomment-220442030
LGTM
Merging with master and branch-2.0
Thanks!
@holdenk We can discuss this Pyspark Params issue more. I agree it will be
important to offer users
Github user dilipbiswal closed the pull request at:
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Github user dilipbiswal commented on the pull request:
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@rxin Thank you reynold for handling this. It was taking me a lot of time
to understand the dependencies. Thanks again ..
I will close this now.
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cc @davies
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@yhuai
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--- Diff:
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@@ -0,0 +1,14 @@
+SELECT
--- End
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@@ -0,0 +1,28 @@
+WITH ws_wh AS
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+ * Licensed to the Apache Software Foundation (ASF) under
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--- Diff:
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@@ -0,0 +1,64 @@
+WITH ws AS
+(SELECT
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GitHub user andrewor14 opened a pull request:
https://github.com/apache/spark/pull/13203
[SPARK-15417][SQL][Python] PySpark shell always uses in-memory catalog
## What changes were proposed in this pull request?
There is no way to use the Hive catalog in `pyspark-shell`.
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--- Diff: mllib/src/test/java/org/apache/spark/SharedSparkSession.java ---
@@ -0,0 +1,55 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
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cc @marmbrus @rxin
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lgtm
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@@ -0,0 +1,132 @@
+/*
+ *
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cc: @jkbradley
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Github user andrewor14 commented on a diff in the pull request:
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--- Diff: mllib/src/test/java/org/apache/spark/SharedSparkSession.java ---
@@ -0,0 +1,55 @@
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+ * Licensed to the Apache Software Foundation
Github user andrewor14 commented on the pull request:
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@techaddict thanks. One more comment. The rest looks pretty good.
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Great to see 900 lines were removed:)
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Note that I still need to add some tests to cover the behavior of the new
builders.
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Github user frreiss commented on a diff in the pull request:
https://github.com/apache/spark/pull/13155#discussion_r63954767
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -1648,16 +1648,56 @@ object
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/13203#issuecomment-220456009
@davies @gatorsmile
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