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https://issues.apache.org/jira/browse/SPARK-13922?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai resolved SPARK-13922.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11749
[https://github.com/apache/spark/pull/11749]
> 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
> 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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