hbase-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "stack (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-10756) Adding Data Types and Structured Row Keys in 0.89-fb HBase
Date Sat, 15 Mar 2014 04:26:43 GMT

    [ https://issues.apache.org/jira/browse/HBASE-10756?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13935980#comment-13935980

stack commented on HBASE-10756:

You've seen this work in trunk [~manukranthk]: http://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/types/package-frame.html
and the description of how it serializes here: http://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/util/OrderedBytes.html

A few of us have been chatting offline about possibility of all serializing types the same
way: e.g. Phoenix using the above types.  If you fellas are interested, we'd love to have
you as part of the club.

Where would I read about how presto does serializations?  Or is it currently in the works?

> Adding Data Types and Structured Row Keys in 0.89-fb HBase
> ----------------------------------------------------------
>                 Key: HBASE-10756
>                 URL: https://issues.apache.org/jira/browse/HBASE-10756
>             Project: HBase
>          Issue Type: New Feature
>          Components: Usability
>    Affects Versions: 0.89-fb
>            Reporter: Manukranth Kolloju
>            Assignee: Manukranth Kolloju
>             Fix For: 0.89-fb
> As an extension to some of the work done on Presto + HBase side, and also inspired by
some of the work done on open source and Pheonix, introducing data types and structured row
keys will enable the data base(hbase) to de-couple database level optimizations from the application
level schema. The attempt is to provide a table definition & specification to define the
row key structure which can be composed as a composite struct composed of primitive data types.
> The data base can make intelligent decisions of how to interpret the data. For instance,
having an understanding of the the structure of row key will hint the database about the parts
of the data that are valuable and can use that information to construct indexes/bloom filters
based on these parts of the row key.
> This can be extended to the column qualifiers and Nested Types as well.

This message was sent by Atlassian JIRA

View raw message