[jira] [Resolved] (SPARK-1991) Support custom StorageLevels for vertices and edges

["Ankur Dave (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-1991?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ankur Dave resolved SPARK-1991.
-------------------------------

       Resolution: Fixed
    Fix Version/s: 1.1.0

Resolved by https://github.com/apache/spark/pull/946

> Support custom StorageLevels for vertices and edges
> ---------------------------------------------------
>
>                 Key: SPARK-1991
>                 URL: https://issues.apache.org/jira/browse/SPARK-1991
>             Project: Spark
>          Issue Type: Improvement
>          Components: GraphX
>            Reporter: Ankur Dave
>            Assignee: Ankur Dave
>             Fix For: 1.1.0
>
>
> Large graphs may not fit entirely in memory. If we supported custom storage levels for the vertices and edges of a graph, the user could specify MEMORY_AND_DISK and then repartition the graph to use many small partitions, each of which does fit in memory. Spark would then automatically load partitions from disk as needed.
> Also, the replicated storage levels would be helpful for fault tolerance, and the serialized ones would improve efficiency for non-primitive vertex and edge attributes.



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