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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2019/05/09 14:29:00 UTC
[jira] [Resolved] (SPARK-27636) Remove cached RDD blocks after PIC
execution
[ https://issues.apache.org/jira/browse/SPARK-27636?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-27636.
-------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24531
[https://github.com/apache/spark/pull/24531]
> Remove cached RDD blocks after PIC execution
> --------------------------------------------
>
> Key: SPARK-27636
> URL: https://issues.apache.org/jira/browse/SPARK-27636
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 2.3.3, 2.4.2, 3.0.0
> Reporter: shahid
> Assignee: shahid
> Priority: Minor
> Fix For: 3.0.0
>
>
> Test steps to reproduce:
> 1) bin/spark-shell
> val dataset = spark.createDataFrame(Seq(
> (0L, 1L, 1.0),
> (1L,2L,1.0),
> (3L, 4L,1.0),
> (4L,0L,0.1))).toDF("src", "dst", "weight")
> val model = new PowerIterationClustering().
> setMaxIter(10).
> setInitMode("degree").
> setWeightCol("weight")
> val prediction = model.assignClusters(dataset).select("id", "cluster")
> 2) Open storage tab of the UI. we can see many RDD block cached, even after running the PIC.
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