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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