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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:00:05 UTC
[jira] [Updated] (SPARK-19433) ML Pipeline with long stages takes
long time to finish
[ https://issues.apache.org/jira/browse/SPARK-19433?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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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