[
https://issues.apache.org/jira/browse/SPARK-51451?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bobby Wang updated SPARK-51451:
-------------------------------
Summary: Regression: [UNSUPPORTED_GENERATOR.NESTED_IN_EXPRESSIONS] The
generator is not supported: nested in expressions
"unresolvedstarwithcolumns(explode(array(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11)))". SQLSTATE: 42K0E (was: [UNSUPPORTED_GENERATOR.NESTED_IN_EXPRESSIONS]
The generator is not supported: nested in expressions
"unresolvedstarwithcolumns(explode(array(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11)))". SQLSTATE: 42K0E)
> Regression: [UNSUPPORTED_GENERATOR.NESTED_IN_EXPRESSIONS] The generator is
> not supported: nested in expressions
> "unresolvedstarwithcolumns(explode(array(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
> 11)))". SQLSTATE: 42K0E
> ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-51451
> URL: https://issues.apache.org/jira/browse/SPARK-51451
> Project: Spark
> Issue Type: Bug
> Components: Connect, SQL
> Affects Versions: 4.0.0, 4.1.0
> Reporter: Bobby Wang
> Priority: Major
>
> The below code could run on classic spark. but failed to run on connect spark.
>
> {code:java}
> from pyspark.sql import SparkSession
> from pyspark.sql.functions import *
> spark = (SparkSession
> .builder
> .remote("sc://localhost")
> .getOrCreate())
> df = spark.createDataFrame([("082017",)], ['dt'])
> df_dt = df.select(date_format(to_date(col("dt"), "MMyyyy"),
> "MM/dd/yyyy").alias("dt"))
> monthArray = [lit(x) for x in range(0, 12)]
> df_month_y = df_dt.withColumn("month_y", explode(array(monthArray)))
> df_month_y.show(){code}
>
> Spark connect throws the below exception
>
> pyspark.errors.exceptions.connect.AnalysisException:
> [UNSUPPORTED_GENERATOR.NESTED_IN_EXPRESSIONS] The generator is not supported:
> nested in expressions "unresolvedstarwithcolumns(explode(array(0, 1, 2, 3, 4,
> 5, 6, 7, 8, 9, 10, 11)))". SQLSTATE: 42K0E
>
> JVM stacktrace:
> org.apache.spark.sql.AnalysisException
> at
> org.apache.spark.sql.errors.QueryCompilationErrors$.nestedGeneratorError(QueryCompilationErrors.scala:315)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator$$anonfun$apply$35.applyOrElse(Analyzer.scala:2914)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator$$anonfun$apply$35.applyOrElse(Analyzer.scala:2911)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUpWithPruning$3(AnalysisHelper.scala:138)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:86)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUpWithPruning$1(AnalysisHelper.scala:138)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:386)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUpWithPruning(AnalysisHelper.scala:134)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUpWithPruning$(AnalysisHelper.scala:130)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUpWithPruning(LogicalPlan.scala:37)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator$.apply(Analyzer.scala:2911)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator$.apply(Analyzer.scala:2839)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:242)
> at scala.collection.LinearSeqOps.foldLeft(LinearSeq.scala:183)
> at scala.collection.LinearSeqOps.foldLeft$(LinearSeq.scala:179)
> at scala.collection.immutable.List.foldLeft(List.scala:79)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:239)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:231)
> at scala.collection.immutable.List.foreach(List.scala:334)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:231)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:288)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$execute$1(Analyzer.scala:284)
> at
> org.apache.spark.sql.catalyst.analysis.AnalysisContext$.withNewAnalysisContext(Analyzer.scala:232)
> at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:284)
> at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:247)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:201)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:89)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:201)
> at
> org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.resolveInFixedPoint(HybridAnalyzer.scala:190)
> at
> org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.$anonfun$apply$1(HybridAnalyzer.scala:76)
> at
> org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.withTrackedAnalyzerBridgeState(HybridAnalyzer.scala:111)
> at
> org.apache.spark.sql.catalyst.analysis.resolver.HybridAnalyzer.apply(HybridAnalyzer.scala:71)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:278)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:393)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:278)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$lazyAnalyzed$2(QueryExecution.scala:99)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:148)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:267)
> at
> org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:643)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:267)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:804)
> at
> org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:266)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$lazyAnalyzed$1(QueryExecution.scala:99)
> at scala.util.Try$.apply(Try.scala:217)
> at org.apache.spark.util.Utils$.doTryWithCallerStacktrace(Utils.scala:1378)
> at org.apache.spark.util.Utils$.getTryWithCallerStacktrace(Utils.scala:1439)
> at org.apache.spark.util.LazyTry.get(LazyTry.scala:58)
> at
> org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:110)
> at
> org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:79)
> at org.apache.spark.sql.classic.Dataset$.$anonfun$ofRows$1(Dataset.scala:115)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:804)
> at org.apache.spark.sql.classic.Dataset$.ofRows(Dataset.scala:113)
> at
> org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformShowString(SparkConnectPlanner.scala:306)
> at
> org.apache.spark.sql.connect.planner.SparkConnectPlanner.$anonfun$transformRelation$1(SparkConnectPlanner.scala:150)
> at
> org.apache.spark.sql.connect.service.SessionHolder.$anonfun$usePlanCache$3(SessionHolder.scala:477)
> at scala.Option.getOrElse(Option.scala:201)
> at
> org.apache.spark.sql.connect.service.SessionHolder.usePlanCache(SessionHolder.scala:476)
> at
> org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformRelation(SparkConnectPlanner.scala:147)
> at
> org.apache.spark.sql.connect.execution.SparkConnectPlanExecution.handlePlan(SparkConnectPlanExecution.scala:74)
> at
> org.apache.spark.sql.connect.execution.ExecuteThreadRunner.handlePlan(ExecuteThreadRunner.scala:314)
> at
> org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1(ExecuteThreadRunner.scala:225)
> at
> org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1$adapted(ExecuteThreadRunner.scala:196)
> at
> org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$2(SessionHolder.scala:341)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:804)
> at
> org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$1(SessionHolder.scala:341)
> at
> org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94)
> at
> org.apache.spark.sql.artifact.ArtifactManager.$anonfun$withResources$1(ArtifactManager.scala:112)
> at org.apache.spark.util.Utils$.withContextClassLoader(Utils.scala:186)
> at
> org.apache.spark.sql.artifact.ArtifactManager.withClassLoaderIfNeeded(ArtifactManager.scala:102)
> at
> org.apache.spark.sql.artifact.ArtifactManager.withResources(ArtifactManager.scala:111)
> at
> org.apache.spark.sql.connect.service.SessionHolder.withSession(SessionHolder.scala:340)
> at
> org.apache.spark.sql.connect.execution.ExecuteThreadRunner.executeInternal(ExecuteThreadRunner.scala:196)
> at
> org.apache.spark.sql.connect.execution.ExecuteThreadRunner.org$apache$spark$sql$connect$execution$ExecuteThreadRunner$$execute(ExecuteThreadRunner.scala:125)
> at
> org.apache.spark.sql.connect.execution.ExecuteThreadRunner$ExecutionThread.run(ExecuteThreadRunner.scala:347)
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