doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.">

zoomerjoin: Superlatively Fast Fuzzy Joins (original) (raw)

Empowers users to fuzzily-merge data frames with millions or tens of millions of rows in minutes with low memory usage. The package uses the locality sensitive hashing algorithms developed by Datar, Immorlica, Indyk and Mirrokni (2004) <doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.

Version: 0.2.0
Depends: R (≥ 2.10)
Imports: collapse, dplyr, tibble, tidyr
Suggests: babynames, covr, fuzzyjoin, igraph, knitr, microbenchmark, profmem, purrr, rmarkdown, stringdist, testthat (≥ 3.0.0), tidyverse, vdiffr
Published: 2024-09-24
DOI: 10.32614/CRAN.package.zoomerjoin
Author: Beniamino Green [aut, cre, cph], Etienne Bacher ORCID iD [ctb], The authors of the dependency Rust crates [ctb, cph] (see inst/AUTHORS file for details) zoomerjoin author details
Maintainer: Beniamino Green <beniamino.green at yale.edu>
BugReports: https://github.com/beniaminogreen/zoomerjoin/issues
License: GPL (≥ 3)
URL: https://beniamino.org/zoomerjoin/,https://github.com/beniaminogreen/zoomerjoin
NeedsCompilation: yes
SystemRequirements: Cargo (>= 1.56) (Rust's package manager), rustc (>= 1.70)
Materials: README NEWS
CRAN checks: zoomerjoin results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=zoomerjointo link to this page.