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https://issues.apache.org/jira/browse/KYLIN-4035?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shaofeng SHI reassigned KYLIN-4035:
-----------------------------------
Assignee: Jack
Hi Jack, thanks for the input and the PR. How about the performance improvement
when switching from MR to Spark?
> 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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