[jira] [Updated] (SPARK-2693) Support for UDAF Hive Aggregates like PERCENTILE

2014-09-29 Thread Michael Armbrust (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-2693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Armbrust updated SPARK-2693:

Priority: Critical  (was: Major)

> Support for UDAF Hive Aggregates like PERCENTILE
> 
>
> Key: SPARK-2693
> URL: https://issues.apache.org/jira/browse/SPARK-2693
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Reporter: Michael Armbrust
>Assignee: Ravindra Pesala
>Priority: Critical
>
> {code}
> SELECT MIN(field1), MAX(field2), AVG(field3), PERCENTILE(field4), 
> year,month,day FROM  raw_data_table  GROUP BY year, month, day
> MIN, MAX and AVG functions work fine for me, but with PERCENTILE, I get an 
> error as shown below.
> Exception in thread "main" java.lang.RuntimeException: No handler for udf 
> class org.apache.hadoop.hive.ql.udf.UDAFPercentile
> at scala.sys.package$.error(package.scala:27)
> at 
> org.apache.spark.sql.hive.HiveFunctionRegistry$.lookupFunction(hiveUdfs.scala:69)
> at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$4$$anonfun$applyOrElse$3.applyOrElse(Analyzer.scala:115)
> at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$4$$anonfun$applyOrElse$3.applyOrElse(Analyzer.scala:113)
> at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:165)
> {code}
> This aggregate extends UDAF, which we don't yet have a wrapper for.



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[jira] [Updated] (SPARK-2693) Support for UDAF Hive Aggregates like PERCENTILE

2014-09-29 Thread Michael Armbrust (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-2693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Armbrust updated SPARK-2693:

Assignee: Ravindra Pesala

> Support for UDAF Hive Aggregates like PERCENTILE
> 
>
> Key: SPARK-2693
> URL: https://issues.apache.org/jira/browse/SPARK-2693
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Reporter: Michael Armbrust
>Assignee: Ravindra Pesala
>
> {code}
> SELECT MIN(field1), MAX(field2), AVG(field3), PERCENTILE(field4), 
> year,month,day FROM  raw_data_table  GROUP BY year, month, day
> MIN, MAX and AVG functions work fine for me, but with PERCENTILE, I get an 
> error as shown below.
> Exception in thread "main" java.lang.RuntimeException: No handler for udf 
> class org.apache.hadoop.hive.ql.udf.UDAFPercentile
> at scala.sys.package$.error(package.scala:27)
> at 
> org.apache.spark.sql.hive.HiveFunctionRegistry$.lookupFunction(hiveUdfs.scala:69)
> at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$4$$anonfun$applyOrElse$3.applyOrElse(Analyzer.scala:115)
> at 
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$4$$anonfun$applyOrElse$3.applyOrElse(Analyzer.scala:113)
> at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:165)
> {code}
> This aggregate extends UDAF, which we don't yet have a wrapper for.



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