Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/9099#discussion_r42339491
--- Diff: R/pkg/R/SQLContext.R ---
@@ -90,19 +90,18 @@ createDataFrame <- function(sqlContext, data, schema =
NULL, samplingRatio = 1.0
if (is.null(schema)) {
schema <- names(data)
}
- n <- nrow(data)
- m <- ncol(data)
- # get rid of factor type
- dropFactor <- function(x) {
+ # get rid of factor type and adjust for lists
--- End diff --
Recommend the comment:
# Because parallelize() parallelizes a data.frame by columns, so transpose
the data.frame here before passing it to parallelize() so that each row in the
data.frame corresponds to a row in the result DataFrame.
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