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Posted to issues@spark.apache.org by "Jiaji Wu (Jira)" <ji...@apache.org> on 2022/07/24 15:36:00 UTC
[jira] [Created] (SPARK-39854) Catalyst 'ColumnPruning' Optimizer does not play well with sql function 'explode'
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* ).
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