[jira] [Assigned] (SPARK-23356) Pushes Project to both sides of Union when expression is non-deterministic
[ https://issues.apache.org/jira/browse/SPARK-23356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan reassigned SPARK-23356: --- Assignee: caoxuewen > Pushes Project to both sides of Union when expression is non-deterministic > -- > > Key: SPARK-23356 > URL: https://issues.apache.org/jira/browse/SPARK-23356 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 2.4.0 >Reporter: caoxuewen >Assignee: caoxuewen >Priority: Major > > Currently, PushProjectionThroughUnion optimizer only supports pushdown > project operator to both sides of a Union operator when expression is > deterministic , in fact, we can be like pushdown filters, also support > pushdown project operator to both sides of a Union operator when expression > is non-deterministic , this PR description fix this problem。now the explain > looks like： > === Applying Rule > org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion === > Input LogicalPlan: > Project [a#0, rand(10) AS rnd#9] > +- Union > :- LocalRelation , [a#0, b#1, c#2] > :- LocalRelation , [d#3, e#4, f#5] > +- LocalRelation , [g#6, h#7, i#8] > Output LogicalPlan: > Project [a#0, rand(10) AS rnd#9] > +- Union > :- Project [a#0] > : +- LocalRelation , [a#0, b#1, c#2] > :- Project [d#3] > : +- LocalRelation , [d#3, e#4, f#5] > +- Project [g#6] > +- LocalRelation , [g#6, h#7, i#8] -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-23356) Pushes Project to both sides of Union when expression is non-deterministic
[ https://issues.apache.org/jira/browse/SPARK-23356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23356: Assignee: Apache Spark > Pushes Project to both sides of Union when expression is non-deterministic > -- > > Key: SPARK-23356 > URL: https://issues.apache.org/jira/browse/SPARK-23356 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 2.4.0 >Reporter: caoxuewen >Assignee: Apache Spark >Priority: Major > > Currently, PushProjectionThroughUnion optimizer only supports pushdown > project operator to both sides of a Union operator when expression is > deterministic , in fact, we can be like pushdown filters, also support > pushdown project operator to both sides of a Union operator when expression > is non-deterministic , this PR description fix this problem。now the explain > looks like： > === Applying Rule > org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion === > Input LogicalPlan: > Project [a#0, rand(10) AS rnd#9] > +- Union > :- LocalRelation , [a#0, b#1, c#2] > :- LocalRelation , [d#3, e#4, f#5] > +- LocalRelation , [g#6, h#7, i#8] > Output LogicalPlan: > Project [a#0, rand(10) AS rnd#9] > +- Union > :- Project [a#0] > : +- LocalRelation , [a#0, b#1, c#2] > :- Project [d#3] > : +- LocalRelation , [d#3, e#4, f#5] > +- Project [g#6] > +- LocalRelation , [g#6, h#7, i#8] -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-23356) Pushes Project to both sides of Union when expression is non-deterministic
[ https://issues.apache.org/jira/browse/SPARK-23356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23356: Assignee: (was: Apache Spark) > Pushes Project to both sides of Union when expression is non-deterministic > -- > > Key: SPARK-23356 > URL: https://issues.apache.org/jira/browse/SPARK-23356 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 2.4.0 >Reporter: caoxuewen >Priority: Major > > Currently, PushProjectionThroughUnion optimizer only supports pushdown > project operator to both sides of a Union operator when expression is > deterministic , in fact, we can be like pushdown filters, also support > pushdown project operator to both sides of a Union operator when expression > is non-deterministic , this PR description fix this problem。now the explain > looks like： > === Applying Rule > org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion === > Input LogicalPlan: > Project [a#0, rand(10) AS rnd#9] > +- Union > :- LocalRelation , [a#0, b#1, c#2] > :- LocalRelation , [d#3, e#4, f#5] > +- LocalRelation , [g#6, h#7, i#8] > Output LogicalPlan: > Project [a#0, rand(10) AS rnd#9] > +- Union > :- Project [a#0] > : +- LocalRelation , [a#0, b#1, c#2] > :- Project [d#3] > : +- LocalRelation , [d#3, e#4, f#5] > +- Project [g#6] > +- LocalRelation , [g#6, h#7, i#8] -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
