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Posted to issues@spark.apache.org by "Felix Cheung (JIRA)" <ji...@apache.org> on 2017/03/01 18:23:45 UTC
[jira] [Commented] (SPARK-19773) SparkDataFrame should not allow
duplicate names
[ https://issues.apache.org/jira/browse/SPARK-19773?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15890740#comment-15890740 ]
Felix Cheung commented on SPARK-19773:
--------------------------------------
Let's close this unless you want to look into getting mutate to support duplicated columns? ;)
> SparkDataFrame should not allow duplicate names
> -----------------------------------------------
>
> Key: SPARK-19773
> URL: https://issues.apache.org/jira/browse/SPARK-19773
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.1.0
> Reporter: Wayne Zhang
> Priority: Minor
>
> SparkDataFrame in SparkR seems to accept duplicate names at creation, but incurs error when calling methods downstream. For example, we can do:
> {{{code}}}
> l <- list(list(1, 2), list(3, 4))
> df <- createDataFrame(l, c("a", "a"))
> head(df)
> {{{code}}}
> But an error occurs when we do df$a = df$a * 2.0.
> I suggest we add validity check for duplicate names at initialization.
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