[ https://issues.apache.org/jira/browse/SPARK-12957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-12957. --------------------------------- Resolution: Fixed Fix Version/s: 2.0.0 > Derive and propagate data constrains in logical plan > ----------------------------------------------------- > > Key: SPARK-12957 > URL: https://issues.apache.org/jira/browse/SPARK-12957 > Project: Spark > Issue Type: New Feature > Components: SQL > Reporter: Yin Huai > Assignee: Sameer Agarwal > Fix For: 2.0.0 > > Attachments: ConstraintPropagationinSparkSQL.pdf > > > Based on the semantic of a query plan, we can derive data constrains (e.g. if > a filter defines {{a > 10}}, we know that the output data of this filter > satisfy the constrain of {{a > 10}} and {{a is not null}}). We should build a > framework to derive and propagate constrains in the logical plan, which can > help us to build more advanced optimizations. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org