[ https://issues.apache.org/jira/browse/SPARK-6903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org