Jiaji Wu created SPARK-39854: -------------------------------- Summary: Catalyst 'ColumnPruning' Optimizer does not play well with sql function 'explode' Key: SPARK-39854 URL: https://issues.apache.org/jira/browse/SPARK-39854 Project: Spark Issue Type: Bug Components: Optimizer Affects Versions: 3.3.0 Environment: Spark version: the latest (3.4.0-SNAPSHOT)
OS: Ubuntu 20.04 JDK: Amazon corretto-11.0.14.1 Reporter: Jiaji Wu The *ColumnPruning* optimizer batch does not always work with *explode* sql function. * Here's a code snippet to repro the issue: {code:java} import spark.implicits._ val testJson = """{ | "b": { | "id": "id00", | "data": [{ | "b1": "vb1", | "b2": 101, | "ex2": [ | { "fb1": false, "fb2": 11, "fb3": "t1" }, | { "fb1": true, "fb2": 12, "fb3": "t2" } | ]}, { | "b1": "vb2", | "b2": 102, | "ex2": [ | { "fb1": false, "fb2": 13, "fb3": "t3" }, | { "fb1": true, "fb2": 14, "fb3": "t4" } | ]} | ], | "fa": "tes", | "v": "1.5" | } |} |""".stripMargin val df = spark.read.json((testJson :: Nil).toDS()) .withColumn("ex_b", explode($"b.data.ex2")) .withColumn("ex_b2", explode($"ex_b")) val df1 = df .withColumn("rt", struct( $"b.fa".alias("rt_fa"), $"b.v".alias("rt_v") )) .drop("b", "ex_b") df1.show(false){code} * the result exception: {code:java} Exception in thread "main" java.lang.IllegalStateException: Couldn't find _extract_v#35 in [_extract_fa#36,ex_b2#13] at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:80) at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:73) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:584) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:589) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943) at scala.collection.AbstractIterator.foreach(Iterator.scala:1431) at scala.collection.IterableLike.foreach(IterableLike.scala:74) at scala.collection.IterableLike.foreach$(IterableLike.scala:73) at scala.collection.AbstractIterable.foreach(Iterable.scala:56) at scala.collection.TraversableLike.map(TraversableLike.scala:286) at scala.collection.TraversableLike.map$(TraversableLike.scala:279) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:698) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:589) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:589) at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1196) at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1195) at org.apache.spark.sql.catalyst.expressions.UnaryExpression.mapChildren(Expression.scala:513) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:589) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:589) at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1196) at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1195) at org.apache.spark.sql.catalyst.expressions.UnaryExpression.mapChildren(Expression.scala:513) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:589) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:560) at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:528) at org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:73) at org.apache.spark.sql.catalyst.expressions.BindReferences$.$anonfun$bindReferences$1(BoundAttribute.scala:94) at scala.collection.immutable.List.map(List.scala:297) at org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReferences(BoundAttribute.scala:94) at org.apache.spark.sql.execution.ProjectExec.doConsume(basicPhysicalOperators.scala:69) at org.apache.spark.sql.execution.CodegenSupport.consume(WholeStageCodegenExec.scala:196) at org.apache.spark.sql.execution.CodegenSupport.consume$(WholeStageCodegenExec.scala:151) at org.apache.spark.sql.execution.GenerateExec.consume(GenerateExec.scala:58) at org.apache.spark.sql.execution.GenerateExec.codeGenCollection(GenerateExec.scala:232) at org.apache.spark.sql.execution.GenerateExec.doConsume(GenerateExec.scala:145) at org.apache.spark.sql.execution.CodegenSupport.constructDoConsumeFunction(WholeStageCodegenExec.scala:223) at org.apache.spark.sql.execution.CodegenSupport.consume(WholeStageCodegenExec.scala:194) at org.apache.spark.sql.execution.CodegenSupport.consume$(WholeStageCodegenExec.scala:151) at org.apache.spark.sql.execution.FilterExec.consume(basicPhysicalOperators.scala:216) at org.apache.spark.sql.execution.FilterExec.doConsume(basicPhysicalOperators.scala:265) at org.apache.spark.sql.execution.CodegenSupport.consume(WholeStageCodegenExec.scala:196) at org.apache.spark.sql.execution.CodegenSupport.consume$(WholeStageCodegenExec.scala:151) at org.apache.spark.sql.execution.GenerateExec.consume(GenerateExec.scala:58) at org.apache.spark.sql.execution.GenerateExec.codeGenCollection(GenerateExec.scala:232) at org.apache.spark.sql.execution.GenerateExec.doConsume(GenerateExec.scala:145) at org.apache.spark.sql.execution.CodegenSupport.constructDoConsumeFunction(WholeStageCodegenExec.scala:223) at org.apache.spark.sql.execution.CodegenSupport.consume(WholeStageCodegenExec.scala:194) at org.apache.spark.sql.execution.CodegenSupport.consume$(WholeStageCodegenExec.scala:151) at org.apache.spark.sql.execution.ProjectExec.consume(basicPhysicalOperators.scala:42) at org.apache.spark.sql.execution.ProjectExec.doConsume(basicPhysicalOperators.scala:89) at org.apache.spark.sql.execution.CodegenSupport.constructDoConsumeFunction(WholeStageCodegenExec.scala:223) at org.apache.spark.sql.execution.CodegenSupport.consume(WholeStageCodegenExec.scala:194) at org.apache.spark.sql.execution.CodegenSupport.consume$(WholeStageCodegenExec.scala:151) at org.apache.spark.sql.execution.FilterExec.consume(basicPhysicalOperators.scala:216) at org.apache.spark.sql.execution.FilterExec.doConsume(basicPhysicalOperators.scala:265) at org.apache.spark.sql.execution.CodegenSupport.consume(WholeStageCodegenExec.scala:196) at org.apache.spark.sql.execution.CodegenSupport.consume$(WholeStageCodegenExec.scala:151) at org.apache.spark.sql.execution.RDDScanExec.consume(ExistingRDD.scala:153) at org.apache.spark.sql.execution.InputRDDCodegen.doProduce(WholeStageCodegenExec.scala:485) at org.apache.spark.sql.execution.InputRDDCodegen.doProduce$(WholeStageCodegenExec.scala:458) at org.apache.spark.sql.execution.RDDScanExec.doProduce(ExistingRDD.scala:153) at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:97) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:232) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:229) at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.RDDScanExec.produce(ExistingRDD.scala:153) at org.apache.spark.sql.execution.FilterExec.doProduce(basicPhysicalOperators.scala:242) at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:97) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:232) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:229) at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.FilterExec.produce(basicPhysicalOperators.scala:216) at org.apache.spark.sql.execution.ProjectExec.doProduce(basicPhysicalOperators.scala:55) at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:97) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:232) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:229) at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.ProjectExec.produce(basicPhysicalOperators.scala:42) at org.apache.spark.sql.execution.GenerateExec.doProduce(GenerateExec.scala:134) at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:97) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:232) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:229) at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.GenerateExec.produce(GenerateExec.scala:58) at org.apache.spark.sql.execution.FilterExec.doProduce(basicPhysicalOperators.scala:242) at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:97) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:232) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:229) at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.FilterExec.produce(basicPhysicalOperators.scala:216) at org.apache.spark.sql.execution.GenerateExec.doProduce(GenerateExec.scala:134) at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:97) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:232) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:229) at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.GenerateExec.produce(GenerateExec.scala:58) at org.apache.spark.sql.execution.ProjectExec.doProduce(basicPhysicalOperators.scala:55) at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:97) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:232) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:229) at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:92) at org.apache.spark.sql.execution.ProjectExec.produce(basicPhysicalOperators.scala:42) at org.apache.spark.sql.execution.WholeStageCodegenExec.doCodeGen(WholeStageCodegenExec.scala:660) at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:723) at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:194) at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:232) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:229) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:190) at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:340) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:473) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:459) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:61) at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3960) at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2955) at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:3950) at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:512) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3948) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:111) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:171) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3948) at org.apache.spark.sql.Dataset.head(Dataset.scala:2955) at org.apache.spark.sql.Dataset.take(Dataset.scala:3176) at org.apache.spark.sql.Dataset.getRows(Dataset.scala:288) at org.apache.spark.sql.Dataset.showString(Dataset.scala:327) at org.apache.spark.sql.Dataset.show(Dataset.scala:834) at org.apache.spark.sql.Dataset.show(Dataset.scala:811) at org.apache.spark.opticloud.replaceWithAliases_Issue$.main(replaceWithAliases_Issue.scala:70) at org.apache.spark.opticloud.replaceWithAliases_Issue.main(replaceWithAliases_Issue.scala) {code} Note: this issue is initially reported to the [spark-xml|https://github.com/databricks/spark-xml/issues/580] repo. However, it turns out be an issue within catalyst optimizer (the snippet above does not has dependency on *spark-xml* ). -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org