This function can be used to run a task in parallel. The task is executed in
parallel on the specified backend, similar to parallel::parLapply()
. If
backend = NULL
, the task is executed sequentially using base::lapply()
.
See the Details section for more information on how this function works.
Arguments
- backend
An object of class
Backend
as returned by thestart_backend()
function. It can also beNULL
to run the task sequentially viabase::lapply()
. The default value isNULL
.- x
An atomic vector or list to pass to the
fun
function.- fun
A function to apply to each element of
x
.- ...
Additional arguments to pass to the
fun
function.
Value
A list of the same length as x
containing the results of the fun
. The
output format resembles that of base::lapply()
.
Details
This function uses the UserApiConsumer
class that acts like an
interface for the developer API of the parabar
package.
Examples
# \donttest{
# Define a simple task.
task <- function(x) {
# Perform computations.
Sys.sleep(0.01)
# Return the result.
return(x + 1)
}
# Start an asynchronous backend.
backend <- start_backend(cores = 2, cluster_type = "psock", backend_type = "async")
# Run a task in parallel.
results <- par_lapply(backend, x = 1:300, fun = task)
# Disable progress tracking.
set_option("progress_track", FALSE)
# Run a task in parallel.
results <- par_lapply(backend, x = 1:300, fun = task)
# Enable progress tracking.
set_option("progress_track", TRUE)
# Change the progress bar options.
configure_bar(type = "modern", format = "[:bar] :percent")
# Run a task in parallel.
results <- par_lapply(backend, x = 1:300, fun = task)
# Stop the backend.
stop_backend(backend)
# Start a synchronous backend.
backend <- start_backend(cores = 2, cluster_type = "psock", backend_type = "sync")
# Run a task in parallel.
results <- par_lapply(backend, x = 1:300, fun = task)
#> Warning: Progress tracking not supported for backend of type 'SyncBackend'.
# Disable progress tracking to remove the warning that progress is not supported.
set_option("progress_track", FALSE)
# Run a task in parallel.
results <- par_lapply(backend, x = 1:300, fun = task)
# Stop the backend.
stop_backend(backend)
# Run the task using the `base::lapply` (i.e., non-parallel).
results <- par_lapply(NULL, x = 1:300, fun = task)
# }