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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-19758) Casting string to timestamp in inline table definition fails with AnalysisException
Date Wed, 01 Mar 2017 07:07:45 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-19758:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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]



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