R: A cluster future is a future whose value will be resolved...

ClusterFuture-class {future}

R Documentation

A cluster future is a future whose value will be resolved asynchronously in a parallel process

Description

A cluster future is a future whose value will be resolved asynchronously in a parallel process

Usage

ClusterFuture(
  expr = NULL,
  substitute = TRUE,
  envir = parent.frame(),
  globals = TRUE,
  packages = NULL,
  local = !persistent,
  persistent = FALSE,
  workers = NULL,
  ...
)

MultisessionFuture(
  expr = NULL,
  substitute = TRUE,
  envir = parent.frame(),
  persistent = FALSE,
  workers = NULL,
  ...
)

Arguments

`expr`	An R expression.
`substitute`	If TRUE, argument `expr` is `substitute()`:ed, otherwise not.
`envir`	The environment from where global objects should be identified.
`globals`	(optional) a logical, a character vector, or a named list to control how globals are handled. For details, see section 'Globals used by future expressions' in the help for `future()`.
`packages`	(optional) a character vector specifying packages to be attached in the R environment evaluating the future.
`local`	(deprecated) If TRUE, the expression is evaluated such that all assignments are done to local temporary environment, otherwise the assignments are done to the global environment of the R process evaluating the future.
`persistent`	If FALSE, the evaluation environment is cleared from objects prior to the evaluation of the future.
`workers`	A `cluster` object, a character vector of host names, a positive numeric scalar, or a function. If a character vector or a numeric scalar, a `cluster` object is created using `makeClusterPSOCK(workers)`. If a function, it is called without arguments when the future is created and its value is used to configure the workers. The function should return any of the above types.
`...`	Additional named elements passed to `Future()`.

Value

ClusterFuture() returns an object of class ClusterFuture.

MultisessionFuture() returns an object of class MultisessionFuture, which inherits from ClusterFuture.

Usage

To use 'cluster' futures, use plan(cluster, ...), cf. cluster.

To use 'multisession' futures, use plan(multisession, ...), cf. multisession.

[Package future version 1.28.0 Index]