[jira] [Created] (SPARK-7499) Investigate how to specify columns in SparkR without $ or strings

["Shivaram Venkataraman (JIRA)" <ji...@apache.org>]

Shivaram Venkataraman created SPARK-7499:
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             Summary: 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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