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https://issues.apache.org/jira/browse/HBASE-6800?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13457902#comment-13457902
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Ted Yu commented on HBASE-6800:
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@Jason:
In the description of this JIRA, you mentioned that DOT serves 'read-mostly
access patterns'.
bq. it can also provide support for update of individual fields
I want to get your opinion on how the above can be achieved. Considering that
the relative size of individual field(s) in the document can be small, the cost
of update would be comparatively higher than a fully de-normalized schema.
> Build a Document Store on HBase for Better Query Processing
> -----------------------------------------------------------
>
> Key: HBASE-6800
> URL: https://issues.apache.org/jira/browse/HBASE-6800
> Project: HBase
> Issue Type: New Feature
> Components: coprocessors, performance
> Affects Versions: 0.96.0
> Reporter: Jason Dai
> Attachments: dot-deisgn.pdf
>
>
> In the last couple of years, increasingly more people begin to stream data
> into HBase in near time, and
> use high level queries (e.g., Hive) to analyze the data in HBase directly.
> While HBase already has very effective MapReduce integration with its good
> scanning performance, query processing using MapReduce on HBase still has
> significant gaps compared to HDFS: ~3x space overheads and 3~5x performance
> overheads according to our measurement.
> We propose to implement a document store on HBase, which can greatly improve
> query processing on HBase (by leveraging the relational model and read-mostly
> access patterns). According to our prototype, it can reduce space usage by
> up-to ~3x and speedup query processing by up-to ~1.8x.
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