[
https://issues.apache.org/jira/browse/SPARK-4368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-4368:
-----------------------------
Issue Type: Improvement (was: Bug)
I don't think this ever evolved into a proposal to change Spark, and
non-essential integration is generally directed to hosting outside the project
now.
> 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%25ven...@yarcdata.com%3E
> So i wonder, could there be an integration with this storage solution and
> what could be the effort of doing that?
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
