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https://issues.apache.org/jira/browse/SPARK-13721?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15459539#comment-15459539
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Herman van Hovell edited comment on SPARK-13721 at 9/2/16 8:40 PM:
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Could you explain what this would looks like? I am asking because adding
{{outer}} to {{explode()}} is a bit weird, since outer is a property of the
generate process and not of the generator.
was (Author: hvanhovell):
Could you explain what this would looks like? I am asking because adding
{outer} to {explode()} is a bit weird, since outer is a property of the
generate process and not of the generator.
> 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
>
> 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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