Package: multidplyr 0.1.3.9000

Hadley Wickham

multidplyr: A Multi-Process 'dplyr' Backend

Partition a data frame across multiple worker processes to provide simple multicore parallelism.

Authors:Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]

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multidplyr.pdf |multidplyr.html
multidplyr/json (API)
NEWS

# Install 'multidplyr' in R:
install.packages('multidplyr', repos = c('https://tidyverse.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tidyverse/multidplyr/issues

On CRAN:

dplyrmultiprocess

10.58 score 641 stars 2 packages 444 scripts 647 downloads 1 mentions 13 exports 26 dependencies

Last updated 4 months agofrom:9737ad03ff. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:%>%cluster_assigncluster_assign_eachcluster_assign_partitioncluster_callcluster_copycluster_librarycluster_rmcluster_senddefault_clusternew_clusterpartitionparty_df

Dependencies:BHcallrclicrayondplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigprocessxpsqsR6RApiSerializeRcppRcppParallelrlangstringfishtibbletidyselectutf8vctrswithr

An introduction to multidplyr

Rendered frommultidplyr.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2021-02-03
Started: 2015-11-10

Readme and manuals

Help Manual

Help pageTopics
Call a function on each node of a clustercluster_call cluster_send
Cluster utitility functionscluster_assign cluster_assign_each cluster_assign_partition cluster_copy cluster_library cluster_rm cluster_utils
Create a new cluster with sensible defaults.new_cluster
Partition data across workers in a clusterpartition
A `party_df` partitioned data frameparty_df