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Takeshi Yamamuro commented on SPARK-18478: ------------------------------------------ [~rxin] seems we have some performance gains; https://github.com/apache/spark/compare/master...maropu:SupportHiveUdfCodegen#diff-f781931d35e340e5550357fbb28d14e8R37 {code} /* Java HotSpot(TM) 64-Bit Server VM 1.8.0_31-b13 on Mac OS X 10.10.2 Intel(R) Core(TM) i7-4578U CPU @ 3.00GHz Call Hive UDF: Best/Avg Time(ms) Rate(M/s) Per Row(ns) Relative ------------------------------------------------------------------------------------------- Call Hive UDF wholestage off 3 / 4 40941.7 0.0 1.0X Call Hive UDF wholestage on 1 / 2 96620.3 0.0 2.4X */ {code} > Support codegen for Hive UDFs > ----------------------------- > > Key: SPARK-18478 > URL: https://issues.apache.org/jira/browse/SPARK-18478 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 2.0.2 > Reporter: Takeshi Yamamuro > > Spark currently does not codegen Hive UDFs in hiveUDFs. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org