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Posted to issues@kylin.apache.org by "Jack (JIRA)" <ji...@apache.org> on 2019/06/08 02:42:00 UTC

[jira] [Created] (KYLIN-4035) Calculate column cardinality by using spark engine

Jack created KYLIN-4035:
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             Summary: 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
             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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