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From "Cristian (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-11596) SQL execution very slow for nested query plans because of DataFrame.withNewExecutionId
Date Mon, 09 Nov 2015 17:02:11 GMT
Cristian created SPARK-11596:
--------------------------------

             Summary: SQL execution very slow for nested query plans because of DataFrame.withNewExecutionId
                 Key: SPARK-11596
                 URL: https://issues.apache.org/jira/browse/SPARK-11596
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.5.1
            Reporter: Cristian


For nested query plans like a recursive unionAll, withExecutionId is extremely slow, likely
because of repeated string concatenation in QueryPlan.simpleString

Test case:

{code}
(1 to 100).foldLeft[Option[DataFrame]] (None) { (curr, idx) =>
    println(s"PROCESSING >>>>>>>>>>> $idx")
    val df = sqlContext.sparkContext.parallelize((0 to 10).zipWithIndex).toDF("A", "B")
    val union = curr.map(_.unionAll(df)).getOrElse(df)
    println(">>" + union.count)
    //union.show()
    Some(union)
  }
{code}

Stack trace:
{block}
scala.collection.TraversableOnce$class.addString(TraversableOnce.scala:320)
scala.collection.AbstractIterator.addString(Iterator.scala:1157)
scala.collection.TraversableOnce$class.mkString(TraversableOnce.scala:286)
scala.collection.AbstractIterator.mkString(Iterator.scala:1157)
scala.collection.TraversableOnce$class.mkString(TraversableOnce.scala:288)
scala.collection.AbstractIterator.mkString(Iterator.scala:1157)
org.apache.spark.sql.catalyst.trees.TreeNode.argString(TreeNode.scala:364)
org.apache.spark.sql.catalyst.trees.TreeNode.simpleString(TreeNode.scala:367)
org.apache.spark.sql.catalyst.plans.QueryPlan.simpleString(QueryPlan.scala:168)
org.apache.spark.sql.catalyst.trees.TreeNode.generateTreeString(TreeNode.scala:401)
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$generateTreeString$1.apply(TreeNode.scala:403)
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$generateTreeString$1.apply(TreeNode.scala:403)
scala.collection.immutable.List.foreach(List.scala:318)
org.apache.spark.sql.catalyst.trees.TreeNode.generateTreeString(TreeNode.scala:403)
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$generateTreeString$1.apply(TreeNode.scala:403)
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$generateTreeString$1.apply(TreeNode.scala:403)
scala.collection.immutable.List.foreach(List.scala:318)
org.apache.spark.sql.catalyst.trees.TreeNode.generateTreeString(TreeNode.scala:403)
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$generateTreeString$1.apply(TreeNode.scala:403)
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$generateTreeString$1.apply(TreeNode.scala:403)
scala.collection.immutable.List.foreach(List.scala:318)
org.apache.spark.sql.catalyst.trees.TreeNode.generateTreeString(TreeNode.scala:403)
org.apache.spark.sql.catalyst.trees.TreeNode.treeString(TreeNode.scala:372)
org.apache.spark.sql.catalyst.trees.TreeNode.toString(TreeNode.scala:369)
org.apache.spark.sql.SQLContext$QueryExecution.stringOrError(SQLContext.scala:936)
org.apache.spark.sql.SQLContext$QueryExecution.toString(SQLContext.scala:949)
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:52)
org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1903)
org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1384)
org.apache.spark.sql.DataFrame.count(DataFrame.scala:1402)
{block}



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