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https://issues.apache.org/jira/browse/KYLIN-4035?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16870779#comment-16870779
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ASF subversion and git services commented on KYLIN-4035:
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Commit 760aefddf80f5ba32eb4448355713e4e22b7412d in kylin's branch
refs/heads/master from majie
[ https://gitbox.apache.org/repos/asf?p=kylin.git;h=760aefd ]
KYLIN-4035 Calculate column cardinality by using spark engine
> Calculate column cardinality by using spark engine
> --------------------------------------------------
>
> Key: KYLIN-4035
> URL: https://issues.apache.org/jira/browse/KYLIN-4035
> Project: Kylin
> Issue Type: Improvement
> Components: Spark Engine
> Affects Versions: Future
> Environment: kylin: master/3.0.0-alpha
> spark: 2.4.3
> hadoop: 2.6.5
> Reporter: Jack
> Assignee: Jack
> Priority: Minor
> Fix For: Future
>
>
> Kylin will calculate column cardinality when loading hive table. This stage
> is only supported by MR engine without spark. I think spark engine should be
> used in this stage because of the following:
> 1) Kylin users can choose which engine they apply when calculating column
> cardinality;
> 2) Some good spark features(e.g. dynamic resource allocation) can be used;
> 3) The code written in spark is simple.
> I finish this work and test ok. But "kylin.engin.spark-cardinality=true"
> should be added in kylin.properties(default is false). Look forwards to
> suggestions.
> Best regards.
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