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Posted to commits@spark.apache.org by li...@apache.org on 2017/08/31 21:15:36 UTC

spark git commit: [SPARK-17107][SQL][FOLLOW-UP] Remove redundant pushdown rule for Union

Repository: spark
Updated Branches:
  refs/heads/master 501370d9d -> 7ce110828


[SPARK-17107][SQL][FOLLOW-UP] Remove redundant pushdown rule for Union

## What changes were proposed in this pull request?
Also remove useless function `partitionByDeterministic` after the changes of https://github.com/apache/spark/pull/14687

## How was this patch tested?
N/A

Author: gatorsmile <ga...@gmail.com>

Closes #19097 from gatorsmile/followupSPARK-17107.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/7ce11082
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/7ce11082
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/7ce11082

Branch: refs/heads/master
Commit: 7ce110828608551f22f6cd2abdbd964844b45975
Parents: 501370d
Author: gatorsmile <ga...@gmail.com>
Authored: Thu Aug 31 14:15:34 2017 -0700
Committer: gatorsmile <ga...@gmail.com>
Committed: Thu Aug 31 14:15:34 2017 -0700

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 .../spark/sql/catalyst/optimizer/Optimizer.scala     | 15 ---------------
 1 file changed, 15 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/7ce11082/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
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diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index 75d83bc..b73f70a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -380,21 +380,6 @@ object PushProjectionThroughUnion extends Rule[LogicalPlan] with PredicateHelper
     result.asInstanceOf[A]
   }
 
-  /**
-   * Splits the condition expression into small conditions by `And`, and partition them by
-   * deterministic, and finally recombine them by `And`. It returns an expression containing
-   * all deterministic expressions (the first field of the returned Tuple2) and an expression
-   * containing all non-deterministic expressions (the second field of the returned Tuple2).
-   */
-  private def partitionByDeterministic(condition: Expression): (Expression, Expression) = {
-    val andConditions = splitConjunctivePredicates(condition)
-    andConditions.partition(_.deterministic) match {
-      case (deterministic, nondeterministic) =>
-        deterministic.reduceOption(And).getOrElse(Literal(true)) ->
-        nondeterministic.reduceOption(And).getOrElse(Literal(true))
-    }
-  }
-
   def apply(plan: LogicalPlan): LogicalPlan = plan transform {
 
     // Push down deterministic projection through UNION ALL


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