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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/16 02:11:33 UTC
[jira] [Assigned] (SPARK-13922) Filter rows with null attributes in
parquet vectorized reader
[ https://issues.apache.org/jira/browse/SPARK-13922?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-13922:
------------------------------------
Assignee: Apache Spark
> 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: Apache Spark
>
> 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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