Yinxusen spark 11893 cleanups #5
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@yinxusen Please review and merge if it looks ok to you. Thanks! |
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Thanks, check it now Sent from my iPhone
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Merged, thanks so much! |
yinxusen
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May 6, 2016
## What changes were proposed in this pull request?
This PR aims to optimize GroupExpressions by removing repeating expressions. `RemoveRepetitionFromGroupExpressions` is added.
**Before**
```scala
scala> sql("select a+1 from values 1,2 T(a) group by a+1, 1+a, A+1, 1+A").explain()
== Physical Plan ==
WholeStageCodegen
: +- TungstenAggregate(key=[(a#0 + 1)apache#6,(1 + a#0)apache#7,(A#0 + 1)apache#8,(1 + A#0)apache#9], functions=[], output=[(a + 1)#5])
: +- INPUT
+- Exchange hashpartitioning((a#0 + 1)apache#6, (1 + a#0)apache#7, (A#0 + 1)apache#8, (1 + A#0)apache#9, 200), None
+- WholeStageCodegen
: +- TungstenAggregate(key=[(a#0 + 1) AS (a#0 + 1)apache#6,(1 + a#0) AS (1 + a#0)apache#7,(A#0 + 1) AS (A#0 + 1)apache#8,(1 + A#0) AS (1 + A#0)apache#9], functions=[], output=[(a#0 + 1)apache#6,(1 + a#0)apache#7,(A#0 + 1)apache#8,(1 + A#0)apache#9])
: +- INPUT
+- LocalTableScan [a#0], [[1],[2]]
```
**After**
```scala
scala> sql("select a+1 from values 1,2 T(a) group by a+1, 1+a, A+1, 1+A").explain()
== Physical Plan ==
WholeStageCodegen
: +- TungstenAggregate(key=[(a#0 + 1)apache#6], functions=[], output=[(a + 1)#5])
: +- INPUT
+- Exchange hashpartitioning((a#0 + 1)apache#6, 200), None
+- WholeStageCodegen
: +- TungstenAggregate(key=[(a#0 + 1) AS (a#0 + 1)apache#6], functions=[], output=[(a#0 + 1)apache#6])
: +- INPUT
+- LocalTableScan [a#0], [[1],[2]]
```
## How was this patch tested?
Pass the Jenkins tests (with a new testcase)
Author: Dongjoon Hyun <[email protected]>
Closes apache#12590 from dongjoon-hyun/SPARK-14830.
yinxusen
pushed a commit
that referenced
this pull request
Aug 12, 2016
## What changes were proposed in this pull request?
Implements `eval()` method for expression `AssertNotNull` so that we can convert local projection on LocalRelation to another LocalRelation.
### Before change:
```
scala> import org.apache.spark.sql.catalyst.dsl.expressions._
scala> import org.apache.spark.sql.catalyst.expressions.objects.AssertNotNull
scala> import org.apache.spark.sql.Column
scala> case class A(a: Int)
scala> Seq((A(1),2)).toDS().select(new Column(AssertNotNull("_1".attr, Nil))).explain
java.lang.UnsupportedOperationException: Only code-generated evaluation is supported.
at org.apache.spark.sql.catalyst.expressions.objects.AssertNotNull.eval(objects.scala:850)
...
```
### After the change:
```
scala> Seq((A(1),2)).toDS().select(new Column(AssertNotNull("_1".attr, Nil))).explain(true)
== Parsed Logical Plan ==
'Project [assertnotnull('_1) AS assertnotnull(_1)#5]
+- LocalRelation [_1#2, _2#3]
== Analyzed Logical Plan ==
assertnotnull(_1): struct<a:int>
Project [assertnotnull(_1#2) AS assertnotnull(_1)#5]
+- LocalRelation [_1#2, _2#3]
== Optimized Logical Plan ==
LocalRelation [assertnotnull(_1)#5]
== Physical Plan ==
LocalTableScan [assertnotnull(_1)#5]
```
## How was this patch tested?
Unit test.
Author: Sean Zhong <[email protected]>
Closes apache#14486 from clockfly/assertnotnull_eval.
yinxusen
pushed a commit
that referenced
this pull request
Nov 22, 2016
Refine transform from Spark Dataset to ArrowRecordBatch
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