[jira] [Updated] (SPARK-12616) Union logical plan should support arbitrary number of children (rather than binary)

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12616?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin updated SPARK-12616:
--------------------------------
    Summary: Union logical plan should support arbitrary number of children (rather than binary)  (was: Improve union logical plan efficiency)

> Union logical plan should support arbitrary number of children (rather than binary)
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-12616
>                 URL: https://issues.apache.org/jira/browse/SPARK-12616
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Reynold Xin
>
> Union logical plan is a binary node. However, a typical use case for union is to union a very large number of input sources (DataFrames, RDDs, or files). In this case, our optimizer can become very slow due to the large number of logical unions. We should change the Union logical plan to support an arbitrary number of children, and add a single rule in the optimizer (or analyzer?) to collapse all adjacent Unions into one.
> Note that this problem doesn't exist in physical plan, because the physical Union already supports arbitrary number of children.



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