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https://issues.apache.org/jira/browse/SPARK-19433?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-19433:
---------------------------------
    Labels: bulk-closed  (was: )

> ML Pipeline with long stages takes long time to finish
> ------------------------------------------------------
>
>                 Key: SPARK-19433
>                 URL: https://issues.apache.org/jira/browse/SPARK-19433
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.1.0
>            Reporter: Liang-Chi Hsieh
>            Priority: Major
>              Labels: bulk-closed
>
> This issue is originally reported and discussed at 
> http://apache-spark-developers-list.1001551.n3.nabble.com/SQL-ML-Pipeline-performance-regression-between-1-6-and-2-x-tc20803.html
> For a Pipeline including long stages, the iterative fit and transform cause 
> extremely grown query plans and RDD lineages, it takes longer time to finish 
> the fit and transform.



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