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https://issues.apache.org/jira/browse/SPARK-17495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17059844#comment-17059844
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Takeshi Yamamuro commented on SPARK-17495:
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I checked the commit logs;
{code:java}
$git checkout v2.1.0
$git log --pretty=oneline | grep SPARK-17495
a99743d053e84f695dc3034550939555297b0a05 [SPARK-17495][SQL] Add Hash capability
semantically equivalent to Hive's
$git checkout v2.2.0
$git log --pretty=oneline | grep SPARK-17495
9456688547522a62f1e7520e9b3564550c57aa5d [SPARK-17495][SQL] Support date,
timestamp and interval types in Hive hash
2a0bc867a4a1dad4ecac47701199e540d345ff4f [SPARK-17495][SQL] Support Decimal
type in Hive-hash
3e40f6c3d6fc0bcd828d09031fa3994925394889 [SPARK-17495][SQL] Add more tests for
hive hash
a99743d053e84f695dc3034550939555297b0a05 [SPARK-17495][SQL] Add Hash capability
semantically equivalent to Hive's
{code}
I think the essential parts to fix this issue had been merged in branch-2.2
(the v2.2.0 release), so I will close this again with `Fix Version/s`=2.2.0. If
there is any problem, please fix this. [~dongjoon] [~hyukjin.kwon] [~viirya]
@Tejas Patil If you have more work on this, please open a new jira.
[~FelixKJose] Yea, if you use spark-2.4.x, you've already used this fix.
> Hive hash implementation
> ------------------------
>
> Key: SPARK-17495
> URL: https://issues.apache.org/jira/browse/SPARK-17495
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Tejas Patil
> Assignee: Tejas Patil
> Priority: Minor
> Labels: bulk-closed
>
> Spark internally uses Murmur3Hash for partitioning. This is different from
> the one used by Hive. For queries which use bucketing this leads to different
> results if one tries the same query on both engines. For us, we want users to
> have backward compatibility to that one can switch parts of applications
> across the engines without observing regressions.
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