Github user rxin commented on a diff in the pull request:

    https://github.com/apache/spark/pull/6356#discussion_r35024839
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanner.scala ---
    @@ -0,0 +1,93 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.sql.execution
    +
    +import org.apache.spark.SparkContext
    +import org.apache.spark.annotation.Experimental
    +import org.apache.spark.sql._
    +import org.apache.spark.sql.catalyst.expressions._
    +import org.apache.spark.sql.execution.TakeOrderedAndProject
    +import org.apache.spark.sql.sources.DataSourceStrategy
    +
    +@Experimental
    +class SparkPlanner(val sqlContext: SQLContext) extends 
org.apache.spark.sql.execution.SparkStrategies {
    +  val sparkContext: SparkContext = sqlContext.sparkContext
    +
    +  def codegenEnabled: Boolean = sqlContext.conf.codegenEnabled
    +
    +  def unsafeEnabled: Boolean = sqlContext.conf.unsafeEnabled
    +
    +  def numPartitions: Int = sqlContext.conf.numShufflePartitions
    +
    +  def strategies: Seq[Strategy] =
    +    sqlContext.experimental.extraStrategies ++ (
    +      DataSourceStrategy ::
    +        DDLStrategy ::
    +        TakeOrderedAndProject ::
    +        HashAggregation ::
    +        LeftSemiJoin ::
    +        HashJoin ::
    +        InMemoryScans ::
    +        ParquetOperations ::
    +        BasicOperators ::
    +        CartesianProduct ::
    +        BroadcastNestedLoopJoin :: Nil)
    +
    +  /**
    +   * Used to build table scan operators where complex projection and 
filtering are done using
    +   * separate physical operators.  This function returns the given scan 
operator with Project and
    +   * Filter nodes added only when needed.  For example, a Project operator 
is only used when the
    +   * final desired output requires complex expressions to be evaluated or 
when columns can be
    +   * further eliminated out after filtering has been done.
    +   *
    +   * The `prunePushedDownFilters` parameter is used to remove those 
filters that can be optimized
    +   * away by the filter pushdown optimization.
    +   *
    +   * The required attributes for both filtering and expression evaluation 
are passed to the
    +   * provided `scanBuilder` function so that it can avoid unnecessary 
column materialization.
    +   */
    +  def pruneFilterProject(
    +                          projectList: Seq[NamedExpression],
    +                          filterPredicates: Seq[Expression],
    +                          prunePushedDownFilters: Seq[Expression] => 
Seq[Expression],
    +                          scanBuilder: Seq[Attribute] => SparkPlan): 
SparkPlan = {
    +
    +    val projectSet = AttributeSet(projectList.flatMap(_.references))
    +    val filterSet = AttributeSet(filterPredicates.flatMap(_.references))
    +    val filterCondition =
    +      
prunePushedDownFilters(filterPredicates).reduceLeftOption(catalyst.expressions.And)
    +
    +    // Right now we still use a projection even if the only evaluation is 
applying an alias
    +    // to a column.  Since this is a no-op, it could be avoided. However, 
using this
    +    // optimization with the current implementation would change the 
output schema.
    +    // TODO: Decouple final output schema from expression evaluation so 
this copy can be
    +    // avoided safely.
    +
    +    if (AttributeSet(projectList.map(_.toAttribute)) == projectSet &&
    +      filterSet.subsetOf(projectSet)) {
    +      // When it is possible to just use column pruning to get the right 
projection and
    +      // when the columns of this projection are enough to evaluate all 
filter conditions,
    +      // just do a scan followed by a filter, with no extra project.
    +      val scan = scanBuilder(projectList.asInstanceOf[Seq[Attribute]])
    +      filterCondition.map(Filter(_, scan)).getOrElse(scan)
    +    } else {
    +      val scan = scanBuilder((projectSet ++ filterSet).toSeq)
    +      Project(projectList, filterCondition.map(Filter(_, 
scan)).getOrElse(scan))
    +    }
    +  }
    +}
    --- End diff --
    
    there might be more so u should check the output from jenkins


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