Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/15375#discussion_r82296182
--- Diff: R/pkg/R/context.R ---
@@ -123,19 +126,46 @@ parallelize <- function(sc, coll, numSlices = 1) {
if (numSlices > length(coll))
numSlices <- length(coll)
+ sizeLimit <- as.numeric(
+ sparkR.conf("spark.r.maxAllocationLimit",
toString(.Machine$integer.max - 10240)))
+ objectSize <- object.size(coll)
--- End diff --
Since the guess of size could easily be wrong, and writing them into disk
is not that bad anyway, should we have a much smaller default value (for
example, 100M)?
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