awkreader: File Reading with Pre-Filtering, Pattern Searching, and Distributed Files

Provides high-performance tools for out-of-core text processing and data ingestion by leveraging system 'AWK' utilities. Allows users to count records, filter rows, and compute streaming aggregations—such as group-by means, streaming medians, standard deviations, and correlations—directly on disk prior to reading data into R. By delegating line-by-line filtering and summarization to system-level 'AWK' commands and streaming results back through data.table::fread(), the package significantly reduces memory footprint and execution times when working with large individual files or multi-file directory structures.

Version:	0.1.0
Imports:	data.table
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-03
DOI:	10.32614/CRAN.package.awkreader (may not be active yet)
Author:	David Shilane [aut], Akshat Maurya [aut, cre], Jason Livingston [aut], Chung-Woo (Caffrey) Lee [aut], Mayur Bansal [aut], Srivastav Budugutta [aut]
Maintainer:	Akshat Maurya <codingmaster902 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	awkreader results

Documentation:

Reference manual:	awkreader.html , awkreader.pdf
Vignettes:	Introduction_to_awk (source, R code)

Downloads:

Package source:	awkreader_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: awkreader_0.1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): awkreader_0.1.0.tgz, r-oldrel (arm64): awkreader_0.1.0.tgz, r-release (x86_64): awkreader_0.1.0.tgz, r-oldrel (x86_64): awkreader_0.1.0.tgz

Linking:

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