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Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2016/07/25 09:23:20 UTC
[jira] [Resolved] (SPARK-16648) LAST_VALUE(FALSE) OVER () throws
IndexOutOfBoundsException
[ https://issues.apache.org/jira/browse/SPARK-16648?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-16648.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14295
[https://github.com/apache/spark/pull/14295]
> LAST_VALUE(FALSE) OVER () throws IndexOutOfBoundsException
> ----------------------------------------------------------
>
> Key: SPARK-16648
> URL: https://issues.apache.org/jira/browse/SPARK-16648
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Cheng Lian
> Assignee: Cheng Lian
> Fix For: 2.1.0
>
>
> The following simple SQL query reproduces this issue:
> {code:sql}
> SELECT LAST_VALUE(FALSE) OVER ();
> {code}
> Exception thrown:
> {noformat}
> java.lang.IndexOutOfBoundsException: 0
> at scala.collection.mutable.ResizableArray$class.apply(ResizableArray.scala:43)
> at scala.collection.mutable.ArrayBuffer.apply(ArrayBuffer.scala:48)
> at scala.collection.mutable.ArrayBuffer.remove(ArrayBuffer.scala:169)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:244)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
> at org.apache.spark.sql.catalyst.trees.TreeNode.withNewChildren(TreeNode.scala:214)
> at org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts$$anonfun$apply$12.applyOrElse(TypeCoercion.scala:637)
> at org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts$$anonfun$apply$12.applyOrElse(TypeCoercion.scala:615)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:278)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionDown$1(QueryPlan.scala:156)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:166)
> at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1$1.apply(QueryPlan.scala:170)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.immutable.List.map(List.scala:285)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:170)
> at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$4.apply(QueryPlan.scala:175)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsDown(QueryPlan.scala:175)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressions(QueryPlan.scala:144)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveExpressions$1.applyOrElse(LogicalPlan.scala:79)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveExpressions$1.applyOrElse(LogicalPlan.scala:78)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:61)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:61)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:60)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveExpressions(LogicalPlan.scala:78)
> at org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts$.apply(TypeCoercion.scala:615)
> at org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts$.apply(TypeCoercion.scala:614)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
> at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
> at scala.collection.immutable.List.foldLeft(List.scala:84)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
> at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:65)
> at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:63)
> at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:49)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582)
> ... 48 elided
> {noformat}
> This bug is a regression. Spark 1.6 doesn't have this issue.
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