Makoto Yui created HIVEMALL-76:
----------------------------------
Summary: [SPARK] each_top_k behavior on Spark is wrong
Key: HIVEMALL-76
URL: https://issues.apache.org/jira/browse/HIVEMALL-76
Project: Hivemall
Issue Type: Bug
Reporter: Makoto Yui
Assignee: Takeshi Yamamuro
I found that each_top_k behavior on Spark is little bit difference one from
Hive for the ranking scheme in
https://github.com/apache/incubator-hivemall/blob/master/core/src/main/java/hivemall/tools/EachTopKUDTF.java#L198
Hive provides a dense_rank but Spark does not.
https://github.com/apache/incubator-hivemall/blob/72d6a629f972abc2f38c63d20fe5c978618f8bf8/spark/spark-2.0/src/main/scala/org/apache/spark/sql/catalyst/expressions/EachTopK.scala#L101
Better to return a same rank where compared score is same.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
