felixcheung commented on a change in pull request #23746: [SPARK-26761][SQL][R]
Vectorized R gapply() implementation
URL: https://github.com/apache/spark/pull/23746#discussion_r255839019
##########
File path: R/pkg/inst/worker/worker.R
##########
@@ -181,17 +185,37 @@ if (isEmpty != 0) {
colNames, computeFunc, data)
} else {
# gapply mode
+ outputs <- list()
for (i in 1:length(data)) {
# Timing reading input data for execution
inputElap <- elapsedSecs()
output <- compute(mode, partition, serializer, deserializer,
keys[[i]],
colNames, computeFunc, data[[i]])
computeElap <- elapsedSecs()
- outputResult(serializer, output, outputCon)
+ if (deserializer == "arrow") {
+ outputs[[length(outputs) + 1L]] <- output
Review comment:
append should be faster
```
> outputs <- list()
> output <- 1
> outputs <- append(outputs, output)
> outputs
[[1]]
[1] 1
> outputs <- append(outputs, output)
> outputs
[[1]]
[1] 1
[[2]]
[1] 1
```
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