default_cluster: Default cluster
In multidplyr: A Multi-Process 'dplyr' Backend
default_cluster R Documentation
Default cluster
Description
Setting up a cluster is relatively expensive, so it's best to use a single
cluster throughout a session. This function lazily creates a 2-worker
cluster for use in examples and test.
Usage
default_cluster(n = 2)
Arguments
n
Number of workers to use; defaults to 2 because this is the maximum
allowed by CRAN.
Value
A cached cluster of workers.
Examples
default_cluster()
multidplyr documentation built on March 31, 2023, 6:42 p.m.
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| default_cluster | R Documentation |
Default cluster
Description
Setting up a cluster is relatively expensive, so it's best to use a single cluster throughout a session. This function lazily creates a 2-worker cluster for use in examples and test.
Usage
default_cluster(n = 2)
Arguments
n |
Number of workers to use; defaults to 2 because this is the maximum allowed by CRAN. |
Value
A cached cluster of workers.
Examples
default_cluster()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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