lapply using future package in asynchronous way

lapply_async(
  x,
  fun,
  ...,
  .ncores = 0,
  .call_back = NULL,
  .packages = NULL,
  .envir = environment(),
  .globals = TRUE,
  .gc = TRUE,
  .as_datatable = FALSE,
  .nrows = 0
)

lapply_async3(
  x,
  fun,
  ...,
  .globals = TRUE,
  .gc = TRUE,
  .callback = NULL,
  .ncores = 0
)

Arguments

x, fun, ...

(See lapply)

.ncores

Number of cores to use. If the value is 0, the number of cores will be determined by rave_options('max_worker').

.call_back

A function takes current iteration number as argument, can be NULL.

.packages

NULL be default, then the function will detect attached packages automatically. Otherwise you have to specify the packages that you want to load.

.envir

internally used

.globals

Automatically detect variables. See ?future::future

.gc

Clean up environment after each iterations? Recommended for large datasets.

.as_datatable

logical, return result as data.frame. Experimental.

.nrows

integer, if .as_datatable=TRUE, number of rows expected.

.callback

function or NULL, callback function to monitor updates.

Examples

if (FALSE) {
lapply_async(1:10, function(x){
  Sys.sleep(2) # Run for 1 secs
  Sys.getpid()
}, .ncores = 3, .call_back = function(i){
  cat('Running iteration -', i, '\n')
})
}