Github user NarineK commented on a diff in the pull request:
https://github.com/apache/spark/pull/12836#discussion_r67197168
--- Diff: R/pkg/inst/worker/worker.R ---
@@ -79,75 +127,72 @@ if (numBroadcastVars > 0) {
# Timing broadcast
broadcastElap <- elapsedSecs()
+# Initial input timing
+inputElap <- broadcastElap
# If -1: read as normal RDD; if >= 0, treat as pairwise RDD and treat the
int
# as number of partitions to create.
numPartitions <- SparkR:::readInt(inputCon)
-isDataFrame <- as.logical(SparkR:::readInt(inputCon))
+# 0 - RDD mode, 1 - dapply mode, 2 - gapply mode
+mode <- SparkR:::readInt(inputCon)
-# If isDataFrame, then read column names
-if (isDataFrame) {
+if (mode > 0) {
colNames <- SparkR:::readObject(inputCon)
}
isEmpty <- SparkR:::readInt(inputCon)
+computeInputElapsDiff <- 0
+outputComputeElapsDiff <- 0
if (isEmpty != 0) {
-
if (numPartitions == -1) {
if (deserializer == "byte") {
# Now read as many characters as described in funcLen
data <- SparkR:::readDeserialize(inputCon)
} else if (deserializer == "string") {
data <- as.list(readLines(inputCon))
- } else if (deserializer == "row") {
+ } else if (deserializer == "row" && mode == 2) {
+ dataWithKeys <- SparkR:::readMultipleObjectsWithKeys(inputCon)
+ keys <- dataWithKeys$keys
+ data <- dataWithKeys$data
+ } else if (deserializer == "row"){
data <- SparkR:::readMultipleObjects(inputCon)
}
- # Timing reading input data for execution
- inputElap <- elapsedSecs()
- if (isDataFrame) {
- if (deserializer == "row") {
- # Transform the list of rows into a data.frame
- # Note that the optional argument stringsAsFactors for rbind is
- # available since R 3.2.4. So we set the global option here.
- oldOpt <- getOption("stringsAsFactors")
- options(stringsAsFactors = FALSE)
- data <- do.call(rbind.data.frame, data)
- options(stringsAsFactors = oldOpt)
-
- names(data) <- colNames
- } else {
- # Check to see if data is a valid data.frame
- stopifnot(deserializer == "byte")
- stopifnot(class(data) == "data.frame")
- }
- output <- computeFunc(data)
- if (serializer == "row") {
- # Transform the result data.frame back to a list of rows
- output <- split(output, seq(nrow(output)))
- } else {
- # Serialize the ouput to a byte array
- stopifnot(serializer == "byte")
+ inputElap <- elapsedSecs()
+ if (mode > 0) {
+ if (mode == 1) {
+ # Timing reading input data for execution
+ output <- compute(mode, partition, serializer, deserializer, NULL,
+ colNames, computeFunc, outputCon, data)
+ } else {
+ # gapply mode
+ for (i in 1:length(data)) {
+ # Timing reading input data for execution
+ inputElap <- elapsedSecs()
+ output <- compute(mode, partition, serializer, deserializer,
keys[[i]],
+ colNames, computeFunc, outputCon, data[[i]])
+ computeElap <- elapsedSecs()
+ outputResult(serializer, output, outputCon)
+ outputElap <- elapsedSecs()
+ computeInputElapsDiff <- computeInputElapsDiff + (computeElap -
inputElap)
+ outputComputeElapsDiff <- outputComputeElapsDiff + (outputElap -
computeElap)
+ }
}
} else {
- output <- computeFunc(partition, data)
+ # Timing reading input data for execution
--- End diff --
Removed the comment - moved to line: 163
https://github.com/NarineK/spark/blob/4d1cc6b0fd3dd2839a6a879f43118c5828916733/R/pkg/inst/worker/worker.R#L163
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