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From "Chao Sun (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-14815) Implement Parquet vectorization reader for Primitive types
Date Tue, 15 Nov 2016 17:22:58 GMT

    [ https://issues.apache.org/jira/browse/HIVE-14815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15667714#comment-15667714
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Chao Sun commented on HIVE-14815:
---------------------------------

+1

> Implement Parquet vectorization reader for Primitive types 
> -----------------------------------------------------------
>
>                 Key: HIVE-14815
>                 URL: https://issues.apache.org/jira/browse/HIVE-14815
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Ferdinand Xu
>            Assignee: Ferdinand Xu
>         Attachments: HIVE-14815.1.patch, HIVE-14815.10.patch, HIVE-14815.11.patch, HIVE-14815.12.patch,
HIVE-14815.2.patch, HIVE-14815.3.patch, HIVE-14815.4.patch, HIVE-14815.5.patch, HIVE-14815.6.patch,
HIVE-14815.7.patch, HIVE-14815.8.patch, HIVE-14815.9.patch, HIVE-14815.patch
>
>
> Parquet doesn't provide a vectorized reader which can be used by Hive directly. Also
for Decimal Column batch, it consists of a batch of HiveDecimal which is a Hive type which
is unknown for Parquet. To support Hive vectorization execution engine in Hive, we have to
implement the vectorized Parquet reader in Hive side. To limit the performance impacts, we
need to implement a page level vectorized reader.



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