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https://issues.apache.org/jira/browse/HADOOP-2329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12549236
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Edward Yoon commented on HADOOP-2329:
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Thanks for your advice.
Then,...
- We can just use the MapFiles on HDFS.
- Of course, batch scheduler can be managing data structure as a "bigTable".
- And you can work using the mapreduce parallel model.
How do you think about scheduler deamonizing?
- No, users can be misunderstand that this structure system is all of HDFS.
- If we don't it, users could be potentially ....
I think your logic is like above.
Automation has revolutionized the industrial world.
In my opinion, we can discuss this after something done.
I has just began........ ........ ....... ... .. .. .. . .. . .
> [Hbase Shell] Addition of Built-In Value Data Types for efficient accessing
> and stroing data
> --------------------------------------------------------------------------------------------
>
> Key: HADOOP-2329
> URL: https://issues.apache.org/jira/browse/HADOOP-2329
> Project: Hadoop
> Issue Type: New Feature
> Components: contrib/hbase
> Affects Versions: 0.16.0
> Reporter: Edward Yoon
> Assignee: Edward Yoon
> Priority: Trivial
> Fix For: 0.16.0
>
>
> A built-in data type is a fundamental data type that the hbase shell defines.
> (character strings, scalars, ranges, arrays, ... , etc)
> If you need a specialized data type that is not currently provided as a
> built-in type,
> you are encouraged to write your own user-defined data type using UDC(not yet
> implemented).
> (or contribute it for distribution in a future release of hbase shell)
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