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From "Christopher Tubbs (JIRA)" <>
Subject [jira] [Commented] (ACCUMULO-1551) Introduce Generic Supertypes to Replace Text
Date Fri, 28 Mar 2014 21:21:18 GMT


Christopher Tubbs commented on ACCUMULO-1551:

[~ekohlwey]: I think the branches in github have diverged too much to make sense out of. Do
you have an updated version of example code/static diff for your illustration?

> Introduce Generic Supertypes to Replace Text
> --------------------------------------------
>                 Key: ACCUMULO-1551
>                 URL:
>             Project: Accumulo
>          Issue Type: Improvement
>            Reporter: Ed Kohlwey
> I wanted to create a new ticket for my thoughts on this. I'd like to introduce a paradigm
similar to the object inspectors used in HIVE to get data in and out of accumulo.
> The base motivation for this is that the accumulo API is inconsistent. It is difficult
to use for application developers and creates a lot of confusion to new developers because
of the inconsistent use of Text, CharSequence, and byte[] for representing various parts of
the keys. This is totally unnecessary and is in my mind a huge black eye.
> Aside from providing a mechanism that could eventually be used to increase read performance
in the client, this would also provide a simpler paradigm for application developers and would
accomplish some aspects of ORM, a-la the Typo and Gora (although distinct from the goals and
scope of Gora).
> I've attached an initial pull request/code review outlining how I think the refactoring
would work in scanner. Basically, the old API would be preserved by introducing generic supertypes,
and a class that allows serialization directly from the ByteSequence objects.
> While it may be true that some people have highly heterogenous data in their table, the
worst case scenario here is that you just use the ByteSequences directly. This will, however,
allow substantially simpler access even in that base case by making the access pattern consistent.
In other cases, where a scan is only done over a particular column, or the data is very homogenous,
the benefit is even greater.

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