Relational Query Generator for Data Manipulation at Scale R package rquery version 1.4.99 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. Software 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 John Mount <jmount@win-vector.com> Comprehensive R Archive Network (CRAN) John Mount [aut, cre], Win-Vector LLC [cph] GPL-2 GPL-3 2023-08-20 application/tgz https://CRAN.R-project.org/package=rquery doi:10.32614/CRAN.package.rquery