You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2020/08/18 17:07:33 UTC
[jira] [Commented] (BEAM-673) Data locality for DoFns
[ https://issues.apache.org/jira/browse/BEAM-673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17179946#comment-17179946 ]
Beam JIRA Bot commented on BEAM-673:
------------------------------------
This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.
Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.
> Data locality for DoFns
> -----------------------
>
> Key: BEAM-673
> URL: https://issues.apache.org/jira/browse/BEAM-673
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Reporter: Amit Sela
> Priority: P2
> Labels: stale-P2
>
> In some distributed filesystems, such as HDFS, we should be able to hint to Spark the preferred locations of splits.
> Here is an example of how Spark does that for Hadoop RDDs:
> https://github.com/apache/spark/blob/branch-1.6/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala#L249
--
This message was sent by Atlassian Jira
(v8.3.4#803005)