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https://issues.apache.org/jira/browse/HBASE-20429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16439990#comment-16439990
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Andrew Purtell commented on HBASE-20429:
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Let me just state this to get it out of the way. As you can imagine, reading
between the lines, the motivation to look at this where I work is the good
probability our storage stack is either going to utilize Amazon's S3 service
"where applicable" or a compatible API analogue. Please don't take this to
infer anything about business relationships, or not. Really, I would personally
have no idea one way or the other.
> Support for mixed or write-heavy workloads on non-HDFS filesystems
> ------------------------------------------------------------------
>
> Key: HBASE-20429
> URL: https://issues.apache.org/jira/browse/HBASE-20429
> Project: HBase
> Issue Type: Umbrella
> Reporter: Andrew Purtell
> Priority: Major
>
> We can support reasonably well use cases on non-HDFS filesystems, like S3,
> where an external writer has loaded (and continues to load) HFiles via the
> bulk load mechanism, and then we serve out a read only workload at the HBase
> API.
> Mixed workloads or write-heavy workloads won't fare as well. In fact, data
> loss seems certain. It will depend in the specific filesystem, but all of the
> S3 backed Hadoop filesystems suffer from a couple of obvious problems,
> notably a lack of atomic rename.
> This umbrella will serve to collect some related ideas for consideration.
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