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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/03/01 07:07:45 UTC
[jira] [Commented] (SPARK-19758) Casting string to timestamp in
inline table definition fails with AnalysisException
[ https://issues.apache.org/jira/browse/SPARK-19758?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15889654#comment-15889654 ]
Apache Spark commented on SPARK-19758:
--------------------------------------
User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/17114
> 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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