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https://issues.apache.org/jira/browse/SPARK-15684?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15309989#comment-15309989
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Yanbo Liang edited comment on SPARK-15684 at 6/1/16 9:23 AM:
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[~wm624] Yes, this issue is similar with read.csv and write.csv. You can refer
the comments at https://github.com/apache/spark/pull/11457, although that was
not merged. We should match the arguments of ```startsWith``` and not mask the
native one. ```startsWith``` is a S3 method and the native one has different
signature with SparkR.
was (Author: yanboliang):
[~wm624] Yes, this one is similar with read.csv and write.csv. You can refer
the comments at https://github.com/apache/spark/pull/11457, although that was
not merged. We should match the arguments of ```startsWith``` and not mask the
native one. ```startsWith``` is a S3 method and the native one has different
signature with SparkR.
> Not mask startsWith and endsWith in R
> -------------------------------------
>
> Key: SPARK-15684
> URL: https://issues.apache.org/jira/browse/SPARK-15684
> Project: Spark
> Issue Type: Improvement
> Reporter: Miao Wang
> Priority: Minor
>
> In R 3.3.0, it has startsWith and endsWith. We should not mask this two
> methods in Spark. Actually, Spark R has startsWith and endsWith working for
> column. But making them work for both column and string is not easy. I create
> this JIRA for discussions.
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