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From "Yin Huai (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-13922) Filter rows with null attributes in parquet vectorized reader
Date Wed, 16 Mar 2016 23:26:33 GMT

     [ https://issues.apache.org/jira/browse/SPARK-13922?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yin Huai updated SPARK-13922:
-----------------------------
    Assignee: Sameer Agarwal

> Filter rows with null attributes in parquet vectorized reader
> -------------------------------------------------------------
>
>                 Key: SPARK-13922
>                 URL: https://issues.apache.org/jira/browse/SPARK-13922
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Sameer Agarwal
>            Assignee: Sameer Agarwal
>             Fix For: 2.0.0
>
>
> It's common for many SQL operators to not care about reading null values for correctness.
Currently, this is achieved by performing `isNotNull` checks (for  all relevant columns) on
a per-row basis. Pushing these null filters in parquet vectorized reader should bring considerable
benefits (especially for cases when the underlying data doesn't contain any nulls or contains
all nulls).



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