Yijie Shen created SPARK-6903: --------------------------------- Summary: 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 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