You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/06/08 09:17:00 UTC

[jira] [Commented] (SPARK-39398) when doing iteration compute in graphx, checkpoint need support storagelevel

    [ https://issues.apache.org/jira/browse/SPARK-39398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17551497#comment-17551497 ] 

Apache Spark commented on SPARK-39398:
--------------------------------------

User 'wwli05' has created a pull request for this issue:
https://github.com/apache/spark/pull/36806

>  when doing iteration compute in graphx, checkpoint need support storagelevel
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-39398
>                 URL: https://issues.apache.org/jira/browse/SPARK-39398
>             Project: Spark
>          Issue Type: Bug
>          Components: GraphX
>    Affects Versions: 3.2.1
>            Reporter: wangwenli
>            Priority: Major
>
> this issue related to spark-30502, in that issue ,it olny fix partial ml algorithm.
> in graphx pregel, inside iteration compute, the message checkpointer also should support setting storage level, other than the default memory only level



--
This message was sent by Atlassian Jira
(v8.20.7#820007)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org