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From "Weiqiang Zhuang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-7499) Investigate how to specify columns in SparkR without $ or strings
Date Fri, 02 Oct 2015 16:46:27 GMT

    [ https://issues.apache.org/jira/browse/SPARK-7499?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14941371#comment-14941371
] 

Weiqiang Zhuang commented on SPARK-7499:
----------------------------------------

Wondering if there is any update on this one? Thanks.

> Investigate how to specify columns in SparkR without $ or strings
> -----------------------------------------------------------------
>
>                 Key: SPARK-7499
>                 URL: https://issues.apache.org/jira/browse/SPARK-7499
>             Project: Spark
>          Issue Type: Improvement
>          Components: SparkR
>            Reporter: Shivaram Venkataraman
>
> Right now in SparkR we need to specify the columns used using `$` or strings. For example
to run select we would do
> {code}
> df1 <- select(df, df$age > 10)
> {code}
> It would be good to infer the set of columns in a dataframe automatically and resolve
symbols for column names. For example
> {code} 
> df1 <- select(df, age > 10)
> {code}
> One way to do this is to build an environment with all the column names to column handles
and then use `substitute(arg, env = columnNameEnv)`



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