Hello,
I am using the new R API in SparkR spark.lapply (spark 2.0). I am defining a
complex function to be run across executors and I have to send the entire
dataset, but there is not (that I could find) a way to broadcast the variable
in SparkR. I am thus reading the dataset in each executor from disk, but I
getting the following error:
Error in writeBin(batch, con, endian = "big") :
attempting to add too many elements to raw vector
Any idea why this is happening?
Pseudo code:
scoreModel <- function(parameters){
library(read.table)
dat <- data.frame(fread("file.csv"))
score(dat,parameters)
}
parameterList <- lapply(1:numModels, function(i) getParameters(i))
modelScores <- spark.lapply(parameterList, scoreModel)
Piero Cinquegrana
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