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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/11/09 05:39:00 UTC

[jira] [Assigned] (SPARK-25988) Keep names unchanged when deduplicating the column names in Analyzer

     [ https://issues.apache.org/jira/browse/SPARK-25988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-25988:
------------------------------------

    Assignee: Apache Spark  (was: Xiao Li)

> Keep names unchanged when deduplicating the column names in Analyzer
> --------------------------------------------------------------------
>
>                 Key: SPARK-25988
>                 URL: https://issues.apache.org/jira/browse/SPARK-25988
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Xiao Li
>            Assignee: Apache Spark
>            Priority: Major
>
> {code}
>     withTempView("tmpView1", "tmpView2") {
>       withTable("tab1", "tab2") {
>         sql(
>           """
>             |CREATE TABLE `tab1` (`col1` INT, `TDATE` DATE)
>             |USING CSV
>             |PARTITIONED BY (TDATE)
>           """.stripMargin)
>         spark.table("tab1").where("TDATE >= '2017-08-15'").createOrReplaceTempView("tmpView1")
>         sql("CREATE TABLE `tab2` (`TDATE` DATE) USING parquet")
>         sql(
>           """
>             |CREATE OR REPLACE TEMPORARY VIEW tmpView2 AS
>             |SELECT N.tdate, col1 AS aliasCol1
>             |FROM tmpView1 N
>             |JOIN tab2 Z
>             |ON N.tdate = Z.tdate
>           """.stripMargin)
>         withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "0") {
>           sql("SELECT * FROM tmpView2 x JOIN tmpView2 y ON x.tdate = y.tdate").collect()
>         }
>       }
>     }
> {code}
> The above code will issue the following error.
> {code}
> Expected only partition pruning predicates: ArrayBuffer(isnotnull(tdate#11986), (cast(tdate#11986 as string) >= 2017-08-15));
> org.apache.spark.sql.AnalysisException: Expected only partition pruning predicates: ArrayBuffer(isnotnull(tdate#11986), (cast(tdate#11986 as string) >= 2017-08-15));
> 	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.prunePartitionsByFilter(ExternalCatalogUtils.scala:146)
> 	at org.apache.spark.sql.catalyst.catalog.InMemoryCatalog.listPartitionsByFilter(InMemoryCatalog.scala:560)
> 	at org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.listPartitionsByFilter(ExternalCatalogWithListener.scala:254)
> 	at org.apache.spark.sql.catalyst.catalog.SessionCatalog.listPartitionsByFilter(SessionCatalog.scala:958)
> 	at org.apache.spark.sql.execution.datasources.CatalogFileIndex.filterPartitions(CatalogFileIndex.scala:73)
> 	at org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$$anonfun$apply$1.applyOrElse(PruneFileSourcePartitions.scala:63)
> 	at org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$$anonfun$apply$1.applyOrElse(PruneFileSourcePartitions.scala:27)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:256)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:256)
> 	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:255)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:326)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:324)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:326)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:324)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:326)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:324)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:261)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.transformDown(AnalysisHelper.scala:149)
> 	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
> 	at org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$.apply(PruneFileSourcePartitions.scala:27)
> 	at org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions$.apply(PruneFileSourcePartitions.scala:26)
> 	at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:89)
> 	at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:86)
> 	at scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57)
> 	at scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66)
> 	at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:35)
> 	at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:86)
> 	at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:78)
> 	at scala.collection.immutable.List.foreach(List.scala:392)
> 	at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:78)
> 	at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:66)
> 	at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:66)
> 	at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:72)
> 	at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:68)
> 	at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:77)
> 	at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:77)
> 	at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:85)
> 	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:147)
> 	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:74)
> 	at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3248)
> 	at org.apache.spark.sql.Dataset.collect(Dataset.scala:2684)
> 	at org.apache.spark.sql.SQLQuerySuite$$anonfun$144$$anonfun$apply$mcV$sp$59$$anonfun$apply$mcV$sp$60$$anonfun$apply$mcV$sp$61.apply$mcV$sp(SQLQuerySuite.scala:2880)
> 	at org.apache.spark.sql.catalyst.plans.SQLHelper$class.withSQLConf(SQLHelper.scala:47)
> 	at org.apache.spark.sql.SQLQuerySuite.org$apache$spark$sql$test$SQLTestUtilsBase$$super$withSQLConf(SQLQuerySuite.scala:38)
> 	at org.apache.spark.sql.test.SQLTestUtilsBase$class.withSQLConf(SQLTestUtils.scala:181)
> 	at org.apache.spark.sql.SQLQuerySuite.withSQLConf(SQLQuerySuite.scala:38)
> 	at org.apache.spark.sql.SQLQuerySuite$$anonfun$144$$anonfun$apply$mcV$sp$59$$anonfun$apply$mcV$sp$60.apply$mcV$sp(SQLQuerySuite.scala:2879)
> 	at org.apache.spark.sql.test.SQLTestUtilsBase$class.withTable(SQLTestUtils.scala:288)
> 	at org.apache.spark.sql.SQLQuerySuite.withTable(SQLQuerySuite.scala:38)
> 	at org.apache.spark.sql.SQLQuerySuite$$anonfun$144$$anonfun$apply$mcV$sp$59.apply$mcV$sp(SQLQuerySuite.scala:2862)
> 	at org.apache.spark.sql.test.SQLTestUtilsBase$class.withTempView(SQLTestUtils.scala:262)
> 	at org.apache.spark.sql.SQLQuerySuite.withTempView(SQLQuerySuite.scala:38)
> 	at org.apache.spark.sql.SQLQuerySuite$$anonfun$144.apply$mcV$sp(SQLQuerySuite.scala:2861)
> 	at org.apache.spark.sql.SQLQuerySuite$$anonfun$144.apply(SQLQuerySuite.scala:2861)
> 	at org.apache.spark.sql.SQLQuerySuite$$anonfun$144.apply(SQLQuerySuite.scala:2861)
> 	at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
> 	at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
> 	at org.scalatest.Transformer.apply(Transformer.scala:22)
> 	at org.scalatest.Transformer.apply(Transformer.scala:20)
> 	at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
> 	at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103)
> 	at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
> 	at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
> 	at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
> 	at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
> 	at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
> 	at org.apache.spark.sql.SQLQuerySuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SQLQuerySuite.scala:38)
> 	at org.scalatest.BeforeAndAfterEach$class.runTest(BeforeAndAfterEach.scala:221)
> 	at org.apache.spark.sql.SQLQuerySuite.runTest(SQLQuerySuite.scala:38)
> 	at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
> 	at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
> 	at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
> 	at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
> 	at scala.collection.immutable.List.foreach(List.scala:392)
> 	at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
> 	at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
> 	at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
> 	at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
> 	at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
> 	at org.scalatest.Suite$class.run(Suite.scala:1147)
> 	at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
> 	at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
> 	at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
> 	at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
> 	at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
> 	at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:52)
> 	at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:213)
> 	at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:210)
> 	at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:52)
> 	at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
> 	at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1340)
> 	at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1334)
> 	at scala.collection.immutable.List.foreach(List.scala:392)
> 	at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1334)
> 	at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1011)
> 	at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1010)
> 	at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1500)
> 	at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
> 	at org.scalatest.tools.Runner$.run(Runner.scala:850)
> 	at org.scalatest.tools.Runner.run(Runner.scala)
> 	at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2(ScalaTestRunner.java:131)
> 	at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:28)
> {code}



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