cluster_call | R Documentation |

'cluster_call()' executes the code on each worker and returns the results; 'cluster_send()' executes the code ignoring the result. Jobs are submitted to workers in parallel, and then we wait until they're complete.

cluster_call(cluster, code, simplify = FALSE, ptype = NULL) cluster_send(cluster, code)

`cluster` |
A cluster. |

`code` |
An expression to execute on each worker. |

`simplify` |
Should the results be simplified from a list? * 'TRUE': simplify or die trying. * 'NA': simplify if possible. * 'FALSE': never try to simplify, always leaving as a list. 'code' must return a vector of length one in order for simplification to succeed. |

`ptype` |
If 'simplify' is 'TRUE', use 'ptype' to enforce the desired output type. |

A list of results with one element for each worker in 'cluster'.

cl <- default_cluster() # Run code on each cluster and retrieve results cluster_call(cl, Sys.getpid()) cluster_call(cl, runif(1)) # use ptype to simplify cluster_call(cl, runif(1), simplify = TRUE) # use cluster_send() to ignore results cluster_send(cl, x <- runif(1)) cluster_call(cl, x, simplify = TRUE)

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