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From "Bibudh Lahiri (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (SPARK-4689) Unioning 2 SchemaRDDs should return a SchemaRDD in Python, Scala, and Java
Date Mon, 12 Jan 2015 02:13:34 GMT

    [ https://issues.apache.org/jira/browse/SPARK-4689?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14268720#comment-14268720
] 

Bibudh Lahiri edited comment on SPARK-4689 at 1/12/15 2:13 AM:
---------------------------------------------------------------

I'd like to work on this issue, but would need some details. I looked into ./sql/core/src/main/scala/org/apache/spark/sql/SchemaRDD.scala
where the unionAll method is defined as 

def unionAll(otherPlan: SchemaRDD) =
    new SchemaRDD(sqlContext, Union(logicalPlan, otherPlan.logicalPlan))

There is no implementation of union() in SchemaRDD itself and and the API says it is inherited
from RDD. I took two different SchemaRDD objects and applied union on them (it is in my fork
at https://github.com/bibudhlahiri/spark/blob/master/dev/audit-release/sbt_app_schema_rdd/src/main/scala/SchemaRDDApp.scala
) , and the resultant object is of class UnionRDD. I am thinking of overriding union() in
SchemaRDD to return a SchemaRDD, please let me know what you think. 


was (Author: bibudh):
I'd like to work on this issue, but would need some details. I looked into ./sql/core/src/main/scala/org/apache/spark/sql/SchemaRDD.scala
where the unionAll method is defined as 

def unionAll(otherPlan: SchemaRDD) =
    new SchemaRDD(sqlContext, Union(logicalPlan, otherPlan.logicalPlan))

Are we looking for an implementation of union here (keeping duplicates only once), in addition
to unionAll (keeping duplicates both the times)?

> Unioning 2 SchemaRDDs should return a SchemaRDD in Python, Scala, and Java
> --------------------------------------------------------------------------
>
>                 Key: SPARK-4689
>                 URL: https://issues.apache.org/jira/browse/SPARK-4689
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.1.0
>            Reporter: Chris Fregly
>            Priority: Minor
>              Labels: starter
>
> Currently, you need to use unionAll() in Scala.  
> Python does not expose this functionality at the moment.
> The current work around is to use the UNION ALL HiveQL functionality detailed here: 
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Union



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