[ https://issues.apache.org/jira/browse/HIVE-7527?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xuefu Zhang reassigned HIVE-7527: --------------------------------- Assignee: Rui Li Assign it to you, Rui, as you're doing the relevant research on sortby. > Support order by and sort by on Spark > ------------------------------------- > > Key: HIVE-7527 > URL: https://issues.apache.org/jira/browse/HIVE-7527 > Project: Hive > Issue Type: Sub-task > Components: Spark > Reporter: Xuefu Zhang > Assignee: Rui Li > > Currently Hive depends completely on MapReduce's sorting as part of shuffling > to achieve order by (global sort, one reducer) and sort by (local sort). > Spark has a sort by transformation in different variations that can used to > support Hive's order by and sort by. However, we still need to evaluate > weather Spark's sortBy can achieve the same functionality inherited from > MapReduce's shuffle sort. > Currently Hive on Spark should be able to run simple sort by or order by, by > changing the currently partitionBy to sortby. This is the way to verify > theories. Complete solution will not be available until we have complete > SparkPlanGenerator. > There is also a question of how we determine that there is order by or sort > by by just looking at the operator tree, from which Spark task is created. > This is the responsibility of SparkPlanGenerator, but we need to have an idea. -- This message was sent by Atlassian JIRA (v6.2#6252)