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[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 sort
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cc @andrewor14 too who wrote some of this
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
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* Gets an existing [[SparkS
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* Gets an existing [[SparkS
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--- Diff: core/src/main/java/org/apache/spark/VersionInfo.java ---
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+ * Licensed to the Apache Software Foundation (ASF) under o
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--- Diff:
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@@ -0,0 +1,21 @@
+SELECT count(DISTINCT cs
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@@ -0,0 +1,121 @@
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@@ -0,0 +1,28 @@
+WITH ws_wh AS
+(SELE
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@@ -0,0 +1,14 @@
+SELECT
--- End di
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@@ -0,0 +1,132 @@
+/*
+ * Li
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lgtm
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cc @marmbrus @yhuai
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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 referenc
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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[SPARK-15421][SQL] Validate DDL property values
## What changes were proposed in this pull request?
When we parse DDLs involving table or database properties, we need to
validate the va
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retest this please
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Another proposal is to have a special prefix for the operators that are
part of whole stage codegen.
```
>>> df = sqlCtx.range(1000);df2 =
sqlCtx.range(1000);df.
Github user jkbradley commented on the pull request:
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I agree "as" is more correct, but is this worth doing?
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cc @marmbrus @rxin
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explain of whole stage codegen
## What changes were proposed in this pull request?
Currently, the explain of a query with whole-stage codegen looks like this
```
>>> df = sqlCtx.rang
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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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Great to see 900 lines were removed:)
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@@ -0,0 +1,55 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) un
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retest this please
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@techaddict thanks. One more comment. The rest looks pretty good.
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Github user gatorsmile commented on the pull request:
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I see. `spark.sessionState.invalidateTable` already exists. They have the
same implementation. Thus, I will just remove
`spark.sessionState.refreshTable`? Let me do
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Github user SparkQA commented on the pull request:
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Github user andrewor14 commented on the pull request:
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@davies @gatorsmile
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