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https://issues.apache.org/jira/browse/SPARK-15505?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15839280#comment-15839280
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Hyukjin Kwon commented on SPARK-15505:
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Can we just {{df.selectExpr("Col1", "Col2[0]", "Col2[1]", "Col2[2]").show()}}?
> Explode nested Array in DF Column into Multiple Columns
> --------------------------------------------------------
>
> Key: SPARK-15505
> URL: https://issues.apache.org/jira/browse/SPARK-15505
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.6.1
> Reporter: Jorge Machado
> Priority: Minor
>
> At the moment if we have a DF like this :
> {noformat}
> +------+---------+
> | Col1 | Col2 |
> +------+---------+
> | 1 |[2, 3, 4]|
> | 1 |[2, 3, 4]|
> +------+---------+
> {noformat}
> There is no way to directly transform it into :
> {noformat}
> +------+------+------+------+
> | Col1 | Col2 | Col3 | Col4 |
> +------+------+------+------+
> | 1 | 2 | 3 | 4 |
> | 1 | 2 | 3 | 4 |
> +------+------+------+------+
> {noformat}
> I think this should be easy to implement
> More infos here :
> http://stackoverflow.com/questions/37391241/explode-spark-columns/37392793#37392793
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