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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/02/16 15:06:41 UTC
[jira] [Commented] (SPARK-13721) Add support for LATERAL VIEW OUTER
explode()
[ https://issues.apache.org/jira/browse/SPARK-13721?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15870106#comment-15870106 ]
Apache Spark commented on SPARK-13721:
--------------------------------------
User 'rxin' has created a pull request for this issue:
https://github.com/apache/spark/pull/16958
> Add support for LATERAL VIEW OUTER explode()
> --------------------------------------------
>
> Key: SPARK-13721
> URL: https://issues.apache.org/jira/browse/SPARK-13721
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Ian Hellstrom
> Assignee: Bogdan Raducanu
> Fix For: 2.2.0
>
>
> Hive supports the [LATERAL VIEW OUTER|https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LateralView#LanguageManualLateralView-OuterLateralViews] syntax to make sure that when an array is empty, the content from the outer table is still returned.
> Within Spark, this is currently only possible within the HiveContext and executing HiveQL statements. It would be nice if the standard explode() DataFrame method allows the same. A possible signature would be:
> {code:scala}
> explode[A, B](inputColumn: String, outputColumn: String, outer: Boolean = false)
> {code}
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