arrow

pipeline

not used, force later argument to be referred to by name.

name of table to consider free (input) to the pipeline

free_table_key

logical, if TRUE excess columns are considered an error

strict

A categorical arrow mapping a table to a table.

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.

arrow: Data arrow

Description

Usage

Arguments

Value