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From "Jason Dai (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HBASE-6800) Build a Document Store on HBase for Better Query Processing
Date Mon, 17 Sep 2012 08:47:09 GMT

     [ https://issues.apache.org/jira/browse/HBASE-6800?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Jason Dai updated HBASE-6800:
-----------------------------

    Attachment: dot-deisgn.pdf
    
> 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
~2x.

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