You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2016/06/01 09:23:59 UTC
[jira] [Comment Edited] (SPARK-15684) Not mask startsWith and
endsWith in R
[ https://issues.apache.org/jira/browse/SPARK-15684?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15309989#comment-15309989 ]
Yanbo Liang edited comment on SPARK-15684 at 6/1/16 9:23 AM:
-------------------------------------------------------------
[~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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org