[
https://issues.apache.org/jira/browse/SPARK-2693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust resolved SPARK-2693.
-------------------------------------
Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2620
[https://github.com/apache/spark/pull/2620]
> 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
> Fix For: 1.2.0
>
>
> {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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
