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https://issues.apache.org/jira/browse/SPARK-20171?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16198719#comment-16198719
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Hyukjin Kwon commented on SPARK-20171:
--------------------------------------
I happen to look at this JIRA. Looks we now throw a different exception now:
{code}
scala> sql("SELECT cast(id, INT) FROM range(1)").queryExecution.analyzed
org.apache.spark.sql.AnalysisException: cannot resolve '`INT`' given input
columns: [id]; line 1 pos 16;
'Project [unresolvedalias('cast(id#1L, 'INT), None)]
+- Range (0, 1, step=1, splits=None)
{code}
> Analyzer should include the arity of a function when reporting
> "AnalysisException: Undefined function"
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-20171
> URL: https://issues.apache.org/jira/browse/SPARK-20171
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Jacek Laskowski
> Priority: Minor
>
> {{Analyzer}} reports {{AnalysisException}} when the arity of the function to
> be looked up is incorrect.
> The following {{AnalysisException}} was because the arity of {{cast}} was 2
> (not 1), but it said {{cast}} was not available which is only partially
> correct. It'd be much more helpful to say something like {{"Undefined
> function: 'cast' with 2 params"}}.
> Hint: It'd be even nicer if the exception included candidates like: {{Did you
> mean "cast with 1 param"?}}
> {code}
> scala> sql("SELECT cast(id, INT) FROM range(1)").queryExecution.analyzed
> org.apache.spark.sql.AnalysisException: Undefined function: 'cast'. This
> function is neither a registered temporary function nor a permanent function
> registered in the database 'default'.; line 1 pos 7
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$13$$anonfun$applyOrElse$44.apply(Analyzer.scala:1130)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$13$$anonfun$applyOrElse$44.apply(Analyzer.scala:1130)
> at
> org.apache.spark.sql.catalyst.analysis.package$.withPosition(package.scala:48)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$13.applyOrElse(Analyzer.scala:1129)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$LookupFunctions$$anonfun$apply$13.applyOrElse(Analyzer.scala:1127)
> {code}
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