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From "Damien Carol (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-10171) Create a storage-api module
Date Sat, 25 Jul 2015 16:28:04 GMT

     [ https://issues.apache.org/jira/browse/HIVE-10171?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Damien Carol updated HIVE-10171:
--------------------------------
    Description: To support high performance file formats, I'd like to propose that we move
the minimal set of classes that are required to integrate with Hive into a new module named
"storage-api". This module will include VectorizedRowBatch, the various ColumnVector classes,
and the SARG classes. It will form the start of an API that high performance storage formats
can use to integrate with Hive. Both ORC and Parquet can use the new API to support vectorization
and SARGs without performance destroying shims.  (was: To support high performance file formats,
I'd like to propose that we move the minimal set of classes that are required to integrate
with Hive in to a new module named "storage-api". This module will include VectorizedRowBatch,
the various ColumnVector classes, and the SARG classes. It will form the start of an API that
high performance storage formats can use to integrate with Hive. Both ORC and Parquet can
use the new API to support vectorization and SARGs without performance destroying shims.)

> Create a storage-api module
> ---------------------------
>
>                 Key: HIVE-10171
>                 URL: https://issues.apache.org/jira/browse/HIVE-10171
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Owen O'Malley
>            Assignee: Owen O'Malley
>             Fix For: 2.0.0
>
>
> To support high performance file formats, I'd like to propose that we move the minimal
set of classes that are required to integrate with Hive into a new module named "storage-api".
This module will include VectorizedRowBatch, the various ColumnVector classes, and the SARG
classes. It will form the start of an API that high performance storage formats can use to
integrate with Hive. Both ORC and Parquet can use the new API to support vectorization and
SARGs without performance destroying shims.



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