Josh Rosen created SPARK-19758: ---------------------------------- Summary: 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 Priority: Blocker
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