[
https://issues.apache.org/jira/browse/SPARK-37577?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17456243#comment-17456243
]
Apache Spark commented on SPARK-37577:
--------------------------------------
User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/34845
> ClassCastException: ArrayType cannot be cast to StructType
> ----------------------------------------------------------
>
> Key: SPARK-37577
> URL: https://issues.apache.org/jira/browse/SPARK-37577
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.2.0
> Environment: Py: 3.9
> Reporter: Rafal Wojdyla
> Priority: Major
>
> Reproduction:
> {code:python}
> import pyspark.sql.functions as F
> from pyspark.sql.types import StructType, StructField, ArrayType, StringType
> t = StructType([StructField('o', ArrayType(StructType([StructField('s',
> StringType(), False), StructField('b',
> ArrayType(StructType([StructField('e', StringType(),
> False)]), True), False)]), True), False)])
> (
> spark.createDataFrame([], schema=t)
> .select(F.explode("o").alias("eo"))
> .select("eo.*")
> .select(F.explode("b"))
> .count()
> )
> {code}
> Code above works fine in 3.1.2, fails in 3.2.0. See stacktrace below. Note
> that if you remove, field {{s}}, the code works fine, which is a bit
> unexpected and likely a clue.
> {noformat}
> Py4JJavaError: An error occurred while calling o156.count.
> : java.lang.ClassCastException: class org.apache.spark.sql.types.ArrayType
> cannot be cast to class org.apache.spark.sql.types.StructType
> (org.apache.spark.sql.types.ArrayType and
> org.apache.spark.sql.types.StructType are in unnamed module of loader 'app')
> at
> org.apache.spark.sql.catalyst.expressions.GetStructField.childSchema$lzycompute(complexTypeExtractors.scala:107)
> at
> org.apache.spark.sql.catalyst.expressions.GetStructField.childSchema(complexTypeExtractors.scala:107)
> at
> org.apache.spark.sql.catalyst.expressions.GetStructField.$anonfun$extractFieldName$1(complexTypeExtractors.scala:117)
> at scala.Option.getOrElse(Option.scala:189)
> at
> org.apache.spark.sql.catalyst.expressions.GetStructField.extractFieldName(complexTypeExtractors.scala:117)
> at
> org.apache.spark.sql.catalyst.optimizer.GeneratorNestedColumnAliasing$$anonfun$1$$anonfun$2.applyOrElse(NestedColumnAliasing.scala:372)
> at
> org.apache.spark.sql.catalyst.optimizer.GeneratorNestedColumnAliasing$$anonfun$1$$anonfun$2.applyOrElse(NestedColumnAliasing.scala:368)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$4(TreeNode.scala:539)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:539)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:508)
> at
> org.apache.spark.sql.catalyst.optimizer.GeneratorNestedColumnAliasing$$anonfun$1.applyOrElse(NestedColumnAliasing.scala:368)
> at
> org.apache.spark.sql.catalyst.optimizer.GeneratorNestedColumnAliasing$$anonfun$1.applyOrElse(NestedColumnAliasing.scala:366)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$transformExpressionsDownWithPruning$1(QueryPlan.scala:152)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$mapExpressions$1(QueryPlan.scala:193)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpression$1(QueryPlan.scala:193)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.recursiveTransform$1(QueryPlan.scala:204)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.$anonfun$mapExpressions$4(QueryPlan.scala:214)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:323)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.mapExpressions(QueryPlan.scala:214)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsDownWithPruning(QueryPlan.scala:152)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsWithPruning(QueryPlan.scala:123)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressions(QueryPlan.scala:101)
> at
> org.apache.spark.sql.catalyst.optimizer.GeneratorNestedColumnAliasing$.unapply(NestedColumnAliasing.scala:366)
> at
> org.apache.spark.sql.catalyst.optimizer.ColumnPruning$$anonfun$apply$14.applyOrElse(Optimizer.scala:826)
> at
> org.apache.spark.sql.catalyst.optimizer.ColumnPruning$$anonfun$apply$14.applyOrElse(Optimizer.scala:783)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:486)
> at
> org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1128)
> at
> org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1127)
> at
> org.apache.spark.sql.catalyst.plans.logical.Generate.mapChildren(basicLogicalOperators.scala:121)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:486)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:486)
> at
> org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1128)
> at
> org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1127)
> at
> org.apache.spark.sql.catalyst.plans.logical.OrderPreservingUnaryNode.mapChildren(LogicalPlan.scala:206)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:486)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:486)
> at
> org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1128)
> at
> org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1127)
> at
> org.apache.spark.sql.catalyst.plans.logical.Aggregate.mapChildren(basicLogicalOperators.scala:940)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:486)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformWithPruning(TreeNode.scala:447)
> at
> org.apache.spark.sql.catalyst.optimizer.ColumnPruning$.apply(Optimizer.scala:783)
> at
> org.apache.spark.sql.catalyst.optimizer.ColumnPruning$.apply(Optimizer.scala:780)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:211)
> at
> scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
> at
> scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
> at scala.collection.immutable.List.foldLeft(List.scala:91)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:208)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:200)
> at scala.collection.immutable.List.foreach(List.scala:431)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:200)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:179)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:179)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$optimizedPlan$1(QueryExecution.scala:138)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:196)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
> at
> org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:196)
> at
> org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:134)
> at
> org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:130)
> at
> org.apache.spark.sql.execution.QueryExecution.assertOptimized(QueryExecution.scala:148)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executedPlan$1(QueryExecution.scala:166)
> at
> org.apache.spark.sql.execution.QueryExecution.withCteMap(QueryExecution.scala:73)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:163)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:163)
> at
> org.apache.spark.sql.execution.QueryExecution.simpleString(QueryExecution.scala:214)
> at
> org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$explainString(QueryExecution.scala:259)
> at
> org.apache.spark.sql.execution.QueryExecution.explainString(QueryExecution.scala:228)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:98)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3704)
> at org.apache.spark.sql.Dataset.count(Dataset.scala:3011)
> at
> java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.base/java.lang.reflect.Method.invoke(Method.java:566)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at
> py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
> at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
> at java.base/java.lang.Thread.run(Thread.java:834)
> {noformat}
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