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https://issues.apache.org/jira/browse/SPARK-19443?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15851181#comment-15851181
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Apache Spark commented on SPARK-19443:
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User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/16785
> The function to generate constraints takes too long when the query plan grows
> continuously
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-19443
> URL: https://issues.apache.org/jira/browse/SPARK-19443
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Liang-Chi Hsieh
>
> 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
> When run a ML `Pipeline` with many stages, during the iterative updating to
> `Dataset` , it is observed the it takes longer time to finish the fit and
> transform as the query plan grows continuously.
> Specially, the time spent on preparing optimized plan in current branch
> (74294 ms) is much higher than 1.6 (292 ms). Actually, the time is spent
> mostly on generating query plan's constraints during few optimization rules.
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