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Posted to issues@spark.apache.org by "Takeshi Yamamuro (JIRA)" <ji...@apache.org> on 2015/08/05 08:51:04 UTC
[jira] [Updated] (SPARK-8930) Throw a AnalysisException with
meaningful messages when DataFrame#explode takes a star in expressions
[ https://issues.apache.org/jira/browse/SPARK-8930?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Takeshi Yamamuro updated SPARK-8930:
------------------------------------
Summary: Throw a AnalysisException with meaningful messages when DataFrame#explode takes a star in expressions (was: Support a star '*' in generator function arguments)
> Throw a AnalysisException with meaningful messages when DataFrame#explode takes a star in expressions
> -----------------------------------------------------------------------------------------------------
>
> Key: SPARK-8930
> URL: https://issues.apache.org/jira/browse/SPARK-8930
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0
> Reporter: Takeshi Yamamuro
>
> The current implementation throws an exception if generators contain a star '*' like codes blow;
> {code}
> val df = Seq(("1", "1,2"), ("2", "4"), ("3", "7,8,9")).toDF("prefix", "csv")
> checkAnswer(
> df.explode($"*") { case Row(prefix: String, csv: String) =>
> csv.split(",").map(v => Tuple1(prefix + ":" + v))
> },
> Row("1", "1,2", "1:1") :: Row("1", "1,2", "1:2")
> :: Row("2", "4", "2:4")
> :: Row("3", "7,8,9", "3:7") :: Row("3", "7,8,9", "3:8") :: Row("3", "7,8,9", "3:9")
> :: Nil
> )
> {code}
> {code}
> [info] - explode takes UnresolvedStar *** FAILED *** (14 milliseconds)
> [info] org.apache.spark.sql.AnalysisException: cannot resolve '_1' given input columns prefix, csv;
> [info] at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> [info] at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:55)
> [info] at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:52)
> [info] at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:291)
> [info] at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:291)
> [info] at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51)
> [info] at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:290)
> [info] at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionUp$1(QueryPlan.scala:107)
> [info] at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:117)
> [info] at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2$1.apply(QueryPlan.scala:1
> 21)
> [info] at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> [info] at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> [info] at scala.collection.immutable.List.foreach(List.scala:318)
> [info] at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> [info] at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> {code}
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