make_cluster | R Documentation |
make_cluster
creates a cluster of type 'miraiCluster', which may be used as
a cluster object for any function in the parallel base package such as
parallel::clusterApply()
or parallel::parLapply()
.
stop_cluster
stops a cluster created by make_cluster
.
make_cluster(n, url = NULL, remote = NULL, ...)
stop_cluster(cl)
n |
integer number of nodes (automatically launched on the local machine
unless |
url |
[default NULL] (specify for remote nodes) the character URL on the host for remote nodes to dial into, including a port accepting incoming connections, e.g. 'tcp://10.75.37.40:5555'. Specify a URL with the scheme 'tls+tcp://' to use secure TLS connections. |
remote |
[default NULL] (specify to launch remote nodes) a remote
launch configuration generated by |
... |
additional arguments passed onto |
cl |
a 'miraiCluster'. |
For R version 4.5 or newer, parallel::makeCluster()
specifying
type = "MIRAI"
is equivalent to this function.
For make_cluster: An object of class 'miraiCluster' and
'cluster'. Each 'miraiCluster' has an automatically assigned ID and n
nodes of class 'miraiNode'. If url
is supplied but not remote
, the
shell commands for deployment of nodes on remote resources are printed to
the console.
For stop_cluster: invisible NULL.
Specify url
and n
to set up a host connection for remote nodes to dial
into. n
defaults to one if not specified.
Also specify remote
to launch the nodes using a configuration generated by
remote_config()
or ssh_config()
. In this case, the number of nodes is
inferred from the configuration provided and n
is disregarded.
If remote
is not supplied, the shell commands for deploying nodes manually
on remote resources are automatically printed to the console.
launch_remote()
may be called at any time on a 'miraiCluster' to return the
shell commands for deployment of all nodes, or on a 'miraiNode' to return the
command for a single node.
Call status()
on a 'miraiCluster' to check the number of currently active
connections as well as the host URL.
Errors are thrown by the parallel package mechanism if one or more nodes failed (quit unexpectedly). The resulting 'errorValue' returned is 19 (Connection reset). Other types of error, e.g. in evaluation, result in the usual 'miraiError' being returned.
The default behaviour of clusters created by this function is designed
to map as closely as possible to clusters created by the parallel
package. However, ...
arguments are passed onto daemons()
for
additional customisation if desired, although resultant behaviour may not
always be supported.
cl <- make_cluster(2)
cl
cl[[1L]]
Sys.sleep(0.5)
status(cl)
stop_cluster(cl)
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