[ https://issues.apache.org/jira/browse/SPARK-12616?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15081744#comment-15081744 ]
Apache Spark commented on SPARK-12616: -------------------------------------- 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org