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https://issues.apache.org/jira/browse/SPARK-18823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15745633#comment-15745633
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Shivaram Venkataraman commented on SPARK-18823:
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Thanks [~masip85] for verifying this. I think as [~felixcheung] pointed out
there are two separate issues we can file as feature requests
1. Supporting assignment of DataFrame columns in `[` and `[[` -- This should be
pretty straight forward I'd guess
2. Supporting assignment of a local R column using `$` and / or `[[` -- This
one I'm less sure about because it will involve determining types, serializing
data from local R and splitting into existing DataFrame etc. Also at a higher
level if the DataFrame has a 100M rows then it might not be efficient to ship
that much data etc.
> Assignation by column name variable not available or bug?
> ---------------------------------------------------------
>
> Key: SPARK-18823
> URL: https://issues.apache.org/jira/browse/SPARK-18823
> Project: Spark
> Issue Type: Question
> Components: SparkR
> Affects Versions: 2.0.2
> Environment: RStudio Server in EC2 Instances (EMR Service of AWS) Emr
> 4. Or databricks (community.cloud.databricks.com) .
> Reporter: Vicente Masip
> Fix For: 2.0.2
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> I really don't know if this is a bug or can be done with some function:
> Sometimes is very important to assign something to a column which name has to
> be access trough a variable. Normally, I have always used it with doble
> brackets likes this out of SparkR problems:
> # df could be faithful normal data frame or data table.
> # accesing by variable name:
> myname = "waiting"
> df[[myname]] <- c(1:nrow(df))
> # or even column number
> df[[2]] <- df$eruptions
> The error is not caused by the right side of the "<-" operator of assignment.
> The problem is that I can't assign to a column name using a variable or
> column number as I do in this examples out of spark. Doesn't matter if I am
> modifying or creating column. Same problem.
> I have also tried to use this with no results:
> val df2 = withColumn(df,"tmp", df$eruptions)
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