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https://issues.apache.org/jira/browse/SPARK-7133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14538272#comment-14538272
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Nicholas Chammas commented on SPARK-7133:
-----------------------------------------
[~rxin] - Should we also implement {{\_\_getitem\_\_}} access in PySpark for
{{Row}}? Or does this patch also cover that?
As of Spark 1.3.1, you can do {{row.field}} but not {{row\['field'\]}}.
> Implement struct, array, and map field accessor using apply in Scala and
> __getitem__ in Python
> ----------------------------------------------------------------------------------------------
>
> Key: SPARK-7133
> URL: https://issues.apache.org/jira/browse/SPARK-7133
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
> Assignee: Wenchen Fan
> Priority: Blocker
> Fix For: 1.4.0
>
>
> Typing
> {code}
> df.col[1]
> {code}
> and
> {code}
> df.col['field']
> {code}
> is so much eaiser than
> {code}
> df.col.getField('field')
> df.col.getItem(1)
> {code}
> This would require us to define (in Column) an apply function in Scala, and a
> __getitem__ function in Python.
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