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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/12/09 08:16:11 UTC
[jira] [Commented] (SPARK-12235) Enhance mutate() to support
replace existing columns
[ https://issues.apache.org/jira/browse/SPARK-12235?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15048190#comment-15048190 ]
Apache Spark commented on SPARK-12235:
--------------------------------------
User 'sun-rui' has created a pull request for this issue:
https://github.com/apache/spark/pull/10220
> 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
>
> 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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