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From "Dong Chen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-10257) Ensure Parquet Hive has null optimization
Date Mon, 11 May 2015 04:39:59 GMT

     [ https://issues.apache.org/jira/browse/HIVE-10257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dong Chen updated HIVE-10257:
-----------------------------
    Description: 
In Parquet statistics, a boolean value {{hasNonNullValue}} is used for each column chunk.
Hive could use this value to skip a column, avoid null-checking logic, and speed up vectorization
like HIVE-4478 (in the future, Parquet vectorization is not completed yet).

In this Jira we could check whether this null optimization works, and make changes if any.

  was:
In Parquet statistics, a boolean value {{hasNonNullValue}} is used for each column chunk.
Hive could use this value to skip a column, avoid null-checking logic, and speed up vectorization
like HIVE-4478 (in the future, it is not completed yet).

In this Jira we could check whether this null optimization works, and make changes if any.


> Ensure Parquet Hive has null optimization
> -----------------------------------------
>
>                 Key: HIVE-10257
>                 URL: https://issues.apache.org/jira/browse/HIVE-10257
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Dong Chen
>            Assignee: Dong Chen
>
> In Parquet statistics, a boolean value {{hasNonNullValue}} is used for each column chunk.
Hive could use this value to skip a column, avoid null-checking logic, and speed up vectorization
like HIVE-4478 (in the future, Parquet vectorization is not completed yet).
> In this Jira we could check whether this null optimization works, and make changes if
any.



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