[ https://issues.apache.org/jira/browse/SPARK-26370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-26370. --------------------------------- Resolution: Fixed Fix Version/s: 2.4.1 3.0.0 Issue resolved by pull request 23320 [https://github.com/apache/spark/pull/23320] > Fix resolution of higher-order function for the same identifier. > ---------------------------------------------------------------- > > Key: SPARK-26370 > URL: https://issues.apache.org/jira/browse/SPARK-26370 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.4.0 > Reporter: Takuya Ueshin > Assignee: Takuya Ueshin > Priority: Major > Fix For: 3.0.0, 2.4.1 > > > When using a higher-order function with the same variable name as the > existing columns in {{Filter}} or something which uses > {{Analyzer.resolveExpressionBottomUp}} during the resolution, e.g.,: > {code} > val df = Seq( > (Seq(1, 9, 8, 7), 1, 2), > (Seq(5, 9, 7), 2, 2), > (Seq.empty, 3, 2), > (null, 4, 2) > ).toDF("i", "x", "d") > checkAnswer(df.filter("exists(i, x -> x % d == 0)"), > Seq(Row(Seq(1, 9, 8, 7), 1, 2))) > checkAnswer(df.select("x").filter("exists(i, x -> x % d == 0)"), > Seq(Row(1))) > {code} > the following exception happens: > {code:java} > java.lang.ClassCastException: > org.apache.spark.sql.catalyst.expressions.BoundReference cannot be cast to > org.apache.spark.sql.catalyst.expressions.NamedExpression > at > scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237) > at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) > at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) > at scala.collection.TraversableLike.map(TraversableLike.scala:237) > at scala.collection.TraversableLike.map$(TraversableLike.scala:230) > at scala.collection.AbstractTraversable.map(Traversable.scala:108) > at > org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.$anonfun$functionsForEval$1(higherOrderFunctions.scala:147) > at > scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237) > at scala.collection.immutable.List.foreach(List.scala:392) > at scala.collection.TraversableLike.map(TraversableLike.scala:237) > at scala.collection.TraversableLike.map$(TraversableLike.scala:230) > at scala.collection.immutable.List.map(List.scala:298) > at > org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval(higherOrderFunctions.scala:145) > at > org.apache.spark.sql.catalyst.expressions.HigherOrderFunction.functionsForEval$(higherOrderFunctions.scala:145) > at > org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval$lzycompute(higherOrderFunctions.scala:369) > at > org.apache.spark.sql.catalyst.expressions.ArrayExists.functionsForEval(higherOrderFunctions.scala:369) > at > org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval(higherOrderFunctions.scala:176) > at > org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.functionForEval$(higherOrderFunctions.scala:176) > at > org.apache.spark.sql.catalyst.expressions.ArrayExists.functionForEval(higherOrderFunctions.scala:369) > at > org.apache.spark.sql.catalyst.expressions.ArrayExists.nullSafeEval(higherOrderFunctions.scala:387) > at > org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval(higherOrderFunctions.scala:190) > at > org.apache.spark.sql.catalyst.expressions.SimpleHigherOrderFunction.eval$(higherOrderFunctions.scala:185) > at > org.apache.spark.sql.catalyst.expressions.ArrayExists.eval(higherOrderFunctions.scala:369) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown > Source) > at > org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3(basicPhysicalOperators.scala:216) > at > org.apache.spark.sql.execution.FilterExec.$anonfun$doExecute$3$adapted(basicPhysicalOperators.scala:215) > ... > {code} > because the {{UnresolvedAttribute}} s in {{LambdaFunction}} are unexpectedly > resolved by the rule. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org