Creating a cluster | Add data | partition() | Direct loading | dplyr verbs
Package: multidplyr 0.1.4.9000
Hadley Wickham
multidplyr: A Multi-Process 'dplyr' Backend
Partition a data frame across multiple worker processes to provide simple multicore parallelism.
Authors:
multidplyr_0.1.4.9000.tar.gz
multidplyr_0.1.4.9000.zip(r-4.7)multidplyr_0.1.4.9000.zip(r-4.6)multidplyr_0.1.4.9000.zip(r-4.5)
multidplyr_0.1.4.9000.tgz(r-4.6-any)multidplyr_0.1.4.9000.tgz(r-4.5-any)
multidplyr_0.1.4.9000.tar.gz(r-4.7-any)multidplyr_0.1.4.9000.tar.gz(r-4.6-any)
multidplyr_0.1.4.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
multidplyr/json (API)
| # Install 'multidplyr' in R: |
| install.packages('multidplyr', repos = c('https://tidyverse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidyverse/multidplyr/issues
Pkgdown/docs site:https://multidplyr.tidyverse.org
Last updated from:e960a1e83f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 149 | ||
| source / vignettes | OK | 189 | ||
| linux-release-x86_64 | OK | 143 | ||
| macos-release-arm64 | OK | 118 | ||
| macos-oldrel-arm64 | OK | 97 | ||
| windows-devel | OK | 107 | ||
| windows-release | OK | 93 | ||
| windows-oldrel | OK | 122 | ||
| wasm-release | OK | 108 |
Exports:%>%cluster_assigncluster_assign_eachcluster_assign_partitioncluster_callcluster_copycluster_librarycluster_rmcluster_senddefault_clusternew_clusterpartitionparty_df
Dependencies:callrclicrayondplyrgenericsgluelifecyclemagrittrotelpillarpkgconfigprocessxpsqs2R6RcppRcppParallelrlangstringfishtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Call a function on each node of a cluster | cluster_call cluster_send |
| Cluster utitility functions | cluster_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 cluster | partition |
| A `party_df` partitioned data frame | party_df |
