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https://issues.apache.org/jira/browse/SPARK-5465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-5465.
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Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 4255
[https://github.com/apache/spark/pull/4255]
> Data source version of Parquet doesn't push down And filters properly
> ---------------------------------------------------------------------
>
> Key: SPARK-5465
> URL: https://issues.apache.org/jira/browse/SPARK-5465
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.2.0, 1.2.1
> Reporter: Cheng Lian
> Priority: Blocker
> Fix For: 1.3.0
>
>
> The current implementation combines all predicates and then tries to convert
> it to a single Parquet filter predicate. In this way, the Parquet filter
> predicate can not be generated if any component of the original filters can
> not be converted. (code lines
> [here|https://github.com/apache/spark/blob/a731314c319a6f265060e05267844069027804fd/sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala#L197-L201]).
> For example, {{a > 10 AND a < 20}} can be successfully converted, while {{a >
> 10 AND a < b}} can't because Parquet doesn't accept filters like {{a < b}}.
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