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Michael Armbrust resolved SPARK-11596. -------------------------------------- Resolution: Fixed Fix Version/s: 1.6.0 Issue resolved by pull request 10079 [https://github.com/apache/spark/pull/10079] > 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 > Assignee: Yin Huai > Fix For: 1.6.0 > > Attachments: screenshot-1.png > > > 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 >>>>>>>>>>> $idx") > val df = sqlContext.sparkContext.parallelize((0 to > 10).zipWithIndex).toDF("A", "B") > val union = curr.map(_.unionAll(df)).getOrElse(df) > union.cache() > println(">>" + union.count) > //union.show() > Some(union) > } > {code} > Stack trace: > {quote} > scala.collection.TraversableOnce$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) > {quote} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org