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summarisebig

0.1.0Package record

Grouped Summaries for Large 'arrow' Datasets

0packages depend
452downloads / year
75.5%test coverage
13/13flavors OK

Overview

About

Provides a 'dplyr'-like interface for grouped summaries on large 'arrow' datasets. Complete summaries are attempted in 'arrow' first. When a result can be reconstructed from 'arrow'-computable sufficient statistics, an explicit MapReduce-style reduction and 'R' finalization strategy is available. For arbitrary 'R' functions that require raw group observations, complete groups are materialized in bounded chunks, with optional parallel execution and shared-memory processing. The MapReduce strategy follows the programming model described by Dean and Ghemawat (2008) doi:10.1145/1327452.1327492.

Changes in 0.1.0

Initial release

  • Arrow-first grouped summaries via summarise_big().
  • Explicit Arrow reduction plus R finalization with strategy = "map_reduce".
  • Bounded complete-group materialization via parallel_chunks and shared_chunk.
  • Optional Mirai/Futurize parallelism and Mori shared memory.
  • User functions referenced inside captured summary quosures are identified with future::getGlobalsAndPackages() and supplied explicitly to futurized workers.
  • The caller's Future plan is restored after every exit path.
  • Default worker count is 2.
Show all changes in 0.1.0Hide the rest of the changes in 0.1.0
  • Added a runnable Getting Started vignette covering all four execution paths.
  • Added pkgdown configuration and GitHub setup instructions for the project website and continuous R CMD check.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK5 OK2026-09-22
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 2,279 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsiteYes · pkgdown
Help pages
2 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

452
CRAN downloads in the past year
Rank #24,755 · ~1/day · ~38/mo
Daily download trend is not available in this view yet.
45230 days
45290 days
4521 year
Compare downloads with other packages →
Also on5 r2u2 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-09-11
Responsiveness
not measured
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/larry77/summarisebig on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-09-11 · The repository has a site deploy workflow

pkgdown site last built 2026-09-11, before release 0.1.0 (2026-09-21)

CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing summarisebig adds 31 packages (16 with compiled code, 14 MB of source tarballs). Heaviest: arrow 4.2 MB, vctrs 1.0 MB, nanonext 911 KB.

Depends (1)
R >= 4.3.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • 0.1.0Latest
    2026-09-21 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-21
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.3.0
Download size
30 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("summarisebig")
Isella, L. (2026). summarisebig: Grouped Summaries for Large 'arrow' Datasets (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.summarisebig

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for summarisebig version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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