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https://issues.apache.org/jira/browse/SPARK-6903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-6903:
-----------------------------------
Assignee: Apache Spark
> Eliminate partition filters from execution
> ------------------------------------------
>
> Key: SPARK-6903
> URL: https://issues.apache.org/jira/browse/SPARK-6903
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: Yijie Shen
> Assignee: Apache Spark
> Priority: Minor
>
> Suppose I have a table t(id: String, event: String) saved as parquet file,
> and have directory hierarchy: hdfs://path/to/data/root/dt=2015-01-01/hr=00
> After partition discovery, the result schema should be (id: String, event:
> String, dt: String, hr: Int)
> If I have a query like:
> df.select($“id”).filter(event match).filter($“dt” >
> “2015-01-01”).filter($”hr” > 13)
> In current implementation, after (dt > 2015-01-01 && hr >13) is used to
> filter partitions,
> these two filters remains in execution plan and result in each row returned
> from parquet add two fields dt & hr each time, which I think is useless, if
> we could rewrite execution.Filter’s predicate and eliminate them.
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