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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/02/11 10:34:18 UTC

[jira] [Resolved] (SPARK-13074) Add getPersistentRDDs() API to JavaSparkContext

     [ https://issues.apache.org/jira/browse/SPARK-13074?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-13074.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 10978
[https://github.com/apache/spark/pull/10978]

> Add getPersistentRDDs() API to JavaSparkContext
> -----------------------------------------------
>
>                 Key: SPARK-13074
>                 URL: https://issues.apache.org/jira/browse/SPARK-13074
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>            Reporter: Junyang Shen
>            Priority: Minor
>              Labels: features
>             Fix For: 2.0.0
>
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> The "getPersistentRDDs()" is a useful API of SparkContext to get cached RDDs. However, the JavaSparkContext does not have this API. Though it is possible to first call "getPersistentRDDs: Map[Int, RDD[_]]", and then transfer to java.util.Map<Integer, JavaRDD>, it is easier to do the transform in scala and supply a clean Java API, especially for some JavaSparkContext users who are not familiar with scala.



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