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Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2016/04/28 18:35:12 UTC
[jira] [Updated] (SPARK-12235) Enhance mutate() to support replace
existing columns
[ https://issues.apache.org/jira/browse/SPARK-12235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Shivaram Venkataraman updated SPARK-12235:
------------------------------------------
Assignee: Sun Rui
> Enhance mutate() to support replace existing columns
> ----------------------------------------------------
>
> Key: SPARK-12235
> URL: https://issues.apache.org/jira/browse/SPARK-12235
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
> Affects Versions: 1.5.2
> Reporter: Sun Rui
> Assignee: Sun Rui
> Fix For: 2.0.0
>
>
> mutate() in the dplyr package supports adding new columns and replacing existing columns. But currently the implementation of mutate() in SparkR supports adding new columns only.
> Also make the behavior of mutate more consistent with that in dplyr.
> 1. Throw error message when there are duplicated column names in the DataFrame being mutated.
> 2. when there are duplicated column names in specified columns by arguments, the last column of the same name takes effect.
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