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https://issues.apache.org/jira/browse/SPARK-12616?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15081744#comment-15081744
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Apache Spark commented on SPARK-12616:
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User 'gatorsmile' has created a pull request for this issue:
https://github.com/apache/spark/pull/10577

> 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). 
> It is not uncommon to union hundreds of thousands of 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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