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https://issues.apache.org/jira/browse/SPARK-4368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14290644#comment-14290644
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Sean Owen commented on SPARK-4368:
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I don't think Spark does anything in particular to support GlusterFS; the
message you cite just says it works without any special support. I haven't
heard Ceph come up. Are you suggesting there is some change that needs to be
made to support it? if so I think you should outline how big the change is. I
think the suggestion recently has been that third-party integration projects
belong outside the core project though.
> Ceph integration?
> -----------------
>
> Key: SPARK-4368
> URL: https://issues.apache.org/jira/browse/SPARK-4368
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Reporter: Serge Smertin
>
> There is a use-case of storing big number of relatively small BLOB objects
> (2-20Mb), which has to have some ugly workarounds in HDFS environments. There
> is a need to process those BLOBs close to data themselves, so that's why
> MapReduce paradigm is good, as it guarantees data locality.
> Ceph seems to be one of the systems that maintains both of the properties
> (small files and data locality) -
> http://lists.ceph.com/pipermail/ceph-users-ceph.com/2013-July/032119.html. I
> know already that Spark supports GlusterFS -
> http://mail-archives.apache.org/mod_mbox/spark-user/201404.mbox/%3ccf657f2b.5b3a1%[email protected]%3E
> So i wonder, could there be an integration with this storage solution and
> what could be the effort of doing that?
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