WinVector/rquery: Relational Query Generator for Data Manipulation at Scale

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.

Getting started

Package details

MaintainerJohn Mount <[email protected]>
LicenseGPL-2 | GPL-3
Version1.4.0
URL https://github.com/WinVector/rquery/ https://winvector.github.io/rquery/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("WinVector/rquery")
WinVector/rquery documentation built on Nov. 18, 2019, 3:40 a.m.