[ 
https://issues.apache.org/jira/browse/HIVE-8017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14128034#comment-14128034
 ] 

Xuefu Zhang commented on HIVE-8017:
-----------------------------------

+1.

One question, is the latest patch including the changes included in HIVE-8035? 
If so, we may need to wait until HIVE-8035 is resolved and merged to Spark 
branch.

> Use HiveKey instead of BytesWritable as key type of the pair RDD [Spark 
> Branch]
> -------------------------------------------------------------------------------
>
>                 Key: HIVE-8017
>                 URL: https://issues.apache.org/jira/browse/HIVE-8017
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Rui Li
>            Assignee: Rui Li
>         Attachments: HIVE-8017-spark.patch, HIVE-8017.2-spark.patch, 
> HIVE-8017.3-spark.patch
>
>
> HiveKey should be used as the key type because it holds the hash code for 
> partitioning. While BytesWritable serves partitioning well for simple cases, 
> we have to use {{HiveKey.hashCode}} for more complicated ones, e.g. join, 
> bucketed table, etc.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to