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https://issues.apache.org/jira/browse/SPARK-24350?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16484172#comment-16484172
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Apache Spark commented on SPARK-24350:
--------------------------------------
User 'wajda' has created a pull request for this issue:
https://github.com/apache/spark/pull/21401
> ClassCastException in "array_position" function
> -----------------------------------------------
>
> Key: SPARK-24350
> URL: https://issues.apache.org/jira/browse/SPARK-24350
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Alex Wajda
> Priority: Major
> Fix For: 2.4.0
>
>
> When calling {{array_position}} function with a wrong type of the 1st operand
> a {{ClassCastException}} is thrown instead of {{AnalysisException}}
> Example:
> {code:sql}
> select array_position('foo', 'bar')
> {code}
> {noformat}
> java.lang.ClassCastException: org.apache.spark.sql.types.StringType$ cannot
> be cast to org.apache.spark.sql.types.ArrayType
> at
> org.apache.spark.sql.catalyst.expressions.ArrayPosition.inputTypes(collectionOperations.scala:1398)
> at
> org.apache.spark.sql.catalyst.expressions.ExpectsInputTypes$class.checkInputDataTypes(ExpectsInputTypes.scala:44)
> at
> org.apache.spark.sql.catalyst.expressions.ArrayPosition.checkInputDataTypes(collectionOperations.scala:1401)
> at
> org.apache.spark.sql.catalyst.expressions.Expression.resolved$lzycompute(Expression.scala:168)
> at
> org.apache.spark.sql.catalyst.expressions.Expression.resolved(Expression.scala:168)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAliases$$anonfun$org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveAliases$$assignAliases$1$$anonfun$apply$3.applyOrElse(Analyzer.scala:256)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAliases$$anonfun$org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveAliases$$assignAliases$1$$anonfun$apply$3.applyOrElse(Analyzer.scala:252)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:288)
> {noformat}
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