[ https://issues.apache.org/jira/browse/SPARK-19758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Herman van Hovell resolved SPARK-19758. --------------------------------------- Resolution: Fixed Assignee: Liang-Chi Hsieh Fix Version/s: 2.2.0 > Casting string to timestamp in inline table definition fails with > AnalysisException > ----------------------------------------------------------------------------------- > > Key: SPARK-19758 > URL: https://issues.apache.org/jira/browse/SPARK-19758 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.2.0 > Reporter: Josh Rosen > Assignee: Liang-Chi Hsieh > Priority: Blocker > Fix For: 2.2.0 > > > The following query runs succesfully on Spark 2.1.x but fails in the current > master: > {code} > sql("""CREATE TEMPORARY VIEW table_4(timestamp_col_3) AS VALUES > TIMESTAMP('1991-12-06 00:00:00.0')""") > {code} > Here's the error: > {code} > scala> sql("""CREATE TEMPORARY VIEW table_4(timestamp_col_3) AS VALUES > TIMESTAMP('1991-12-06 00:00:00.0')""") > org.apache.spark.sql.AnalysisException: failed to evaluate expression > CAST('1991-12-06 00:00:00.0' AS TIMESTAMP): None.get; line 1 pos 50 > at > org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$$anonfun$4$$anonfun$apply$4.apply(ResolveInlineTables.scala:105) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$$anonfun$4$$anonfun$apply$4.apply(ResolveInlineTables.scala:95) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at scala.collection.immutable.List.foreach(List.scala:381) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.immutable.List.map(List.scala:285) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$$anonfun$4.apply(ResolveInlineTables.scala:95) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$$anonfun$4.apply(ResolveInlineTables.scala:94) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$.convert(ResolveInlineTables.scala:94) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$$anonfun$apply$1.applyOrElse(ResolveInlineTables.scala:36) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$$anonfun$apply$1.applyOrElse(ResolveInlineTables.scala:32) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:288) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$.apply(ResolveInlineTables.scala:32) > at > org.apache.spark.sql.catalyst.analysis.ResolveInlineTables$.apply(ResolveInlineTables.scala:31) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82) > at > scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124) > at scala.collection.immutable.List.foldLeft(List.scala:84) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74) > at scala.collection.immutable.List.foreach(List.scala:381) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74) > at > org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:65) > at > org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:63) > at > org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:51) > at > org.apache.spark.sql.execution.command.CreateViewCommand.run(views.scala:128) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56) > at > org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:67) > at org.apache.spark.sql.Dataset.<init>(Dataset.scala:182) > at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:67) > at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:588) > ... 48 elided > {code} > It appears that this bug was introduced by SPARK-18936. /cc [~ueshin] -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org