Package: rquery
Type: Package
Title: Relational Query Generator for Data Manipulation at Scale
Version: 1.4.99
Date: 2023-08-19
Authors@R: c(
    person("John", "Mount", email = "jmount@win-vector.com", role = c("aut", "cre")),
    person(family = "Win-Vector LLC", role = c("cph"))
    )
Maintainer: John Mount <jmount@win-vector.com>
URL: https://github.com/WinVector/rquery/,
        https://winvector.github.io/rquery/
BugReports: https://github.com/WinVector/rquery/issues
Description: A piped query generator based on Edgar F. Codd's
        relational algebra, and on production experience using 'SQL'
        and 'dplyr' at big data scale.  The design represents an
        attempt to make 'SQL' more teachable by denoting composition by
        a sequential pipeline notation instead of nested queries or
        functions.  The implementation delivers reliable high
        performance data processing on large data systems such as
        'Spark', databases, and 'data.table'. Package features include:
        data processing trees or pipelines as observable objects (able
        to report both columns produced and columns used), optimized
        'SQL' generation as an explicit user visible table modeling
        step, plus explicit query reasoning and checking.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 3.4.0), wrapr (>= 2.0.9)
Imports: utils, stats, methods
Suggests: DBI, RSQLite, rqdatatable (>= 1.3.2), igraph, knitr,
        rmarkdown, yaml, tinytest
RoxygenNote: 7.2.3
ByteCompile: true
VignetteBuilder: knitr
Repository: https://winvector.r-universe.dev
Date/Publication: 2023-08-20 00:51:18 UTC
RemoteUrl: https://github.com/winvector/rquery
RemoteRef: HEAD
RemoteSha: ce20c07536d8930fb59663778026e2cae380d489
NeedsCompilation: no
Packaged: 2026-06-16 09:46:51 UTC; root
Author: John Mount [aut, cre],
  Win-Vector LLC [cph]