[jira] [Commented] (SPARK-4368) Ceph integration?

["kishorekumar neelamegam (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14346499#comment-14346499 ] 

kishorekumar neelamegam commented on SPARK-4368:
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If no changes or needed in Spark, can it be documented to show how Ceph storage can be used instead of HDFS.  I read the above link on GlusterFS, doesn't provide much info. May be we'll play with Ceph storage and study its workings. Any pointers will be greatly appreciated.

We have a Ceph cluster, and the concepts relate to HDFS. (distributed replicated storage) on block level. 

http://docs.megam.io/v1.0/docs/megam_ceph_works

We are thinking on testing storage using Ceph as VMs use Ceph. HDFS hogs more core/memory as its JVM, where ceph is native. This is more of unification of storage for a customer and reduces cores/memory.

> Ceph integration?
> -----------------
>
>                 Key: SPARK-4368
>                 URL: https://issues.apache.org/jira/browse/SPARK-4368
>             Project: Spark
>          Issue Type: Improvement
>          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%25venkat@yarcdata.com%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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