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[SPARK-8277][SPARKR] Faster createDataFrame using mapply #9234

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saurfang wants to merge 3 commits into from
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[SPARK-8277][SPARKR] Faster createDataFrame using mapply #9234

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0bf8b7c
use mapply for faster createDataFrame
saurfang Oct 22, 2015
397438d
drop no longer used m,n
saurfang Oct 22, 2015
cb9c106
chop redundant data.frame. unname list to save space
saurfang Oct 22, 2015
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6 changes: 1 addition & 5 deletions R/pkg/R/SQLContext.R
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Original file line number Diff line number Diff line change
Expand Up @@ -90,8 +90,6 @@ 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) {
if (is.factor(x)) {
Expand All @@ -100,9 +98,7 @@ createDataFrame <- function(sqlContext, data, schema = NULL, samplingRatio = 1.0
x
}
}
data <- lapply(1:n, function(i) {
lapply(1:m, function(j) { dropFactor(data[i,j]) })
})
data <- do.call(mapply, c(list, unname(lapply(data, dropFactor)), SIMPLIFY = FALSE))
}
if (is.list(data)) {
sc <- callJStatic("org.apache.spark.sql.api.r.SQLUtils", "getJavaSparkContext", sqlContext)
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