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Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2017/03/13 00:45:04 UTC
[jira] [Commented] (SPARK-19928) Incorrect error message when
grouping function used with wrong types
[ https://issues.apache.org/jira/browse/SPARK-19928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15906758#comment-15906758 ]
Herman van Hovell commented on SPARK-19928:
-------------------------------------------
[~jlaskowski] It is not wrong. Grouping only takes one argument, star's will be replaced by all columns during analysis (look for star expansion in the analyzer). Your table apparently contains more than 1 column, so you get this error.
> Incorrect error message when grouping function used with wrong types
> --------------------------------------------------------------------
>
> Key: SPARK-19928
> URL: https://issues.apache.org/jira/browse/SPARK-19928
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Jacek Laskowski
> Priority: Minor
>
> Despite `grouping` being used with no {{GroupingSets/Cube/Rollup}} the message is plain wrong as the number of arguments for the function is indeed correct (but failed type checking).
> {code}
> scala> sql("select grouping(*) from t1").show
> org.apache.spark.sql.AnalysisException: Invalid number of arguments for function grouping; line 1 pos 7
> at org.apache.spark.sql.catalyst.analysis.FunctionRegistry$$anonfun$5.apply(FunctionRegistry.scala:476)
> at org.apache.spark.sql.catalyst.analysis.FunctionRegistry$$anonfun$5.apply(FunctionRegistry.scala:459)
> at org.apache.spark.sql.catalyst.analysis.SimpleFunctionRegistry.lookupFunction(FunctionRegistry.scala:89)
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.lookupFunction(SessionCatalog.scala:1100)
> at org.apache.spark.sql.hive.HiveSessionCatalog.org$apache$spark$sql$hive$HiveSessionCatalog$$super$lookupFunction(HiveSessionCatalog.scala:194)
> at org.apache.spark.sql.hive.HiveSessionCatalog$$anonfun$3.apply(HiveSessionCatalog.scala:194)
> at org.apache.spark.sql.hive.HiveSessionCatalog$$anonfun$3.apply(HiveSessionCatalog.scala:194)
> at scala.util.Try$.apply(Try.scala:192)
> at org.apache.spark.sql.hive.HiveSessionCatalog.lookupFunction0(HiveSessionCatalog.scala:194)
> at org.apache.spark.sql.hive.HiveSessionCatalog.lookupFunction(HiveSessionCatalog.scala:180)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$14$$anonfun$applyOrElse$6$$anonfun$applyOrElse$45.apply(Analyzer.scala:1085)
> ...
> {code}
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