jabiru/csvread: Fast Specialized CSV File Loader

Functions for loading large (10M+ lines) CSV and other delimited files, similar to read.csv, but typically faster and using less memory than the standard R loader. While not entirely general, it covers many common use cases when the types of columns in the CSV file are known in advance. In addition, the package provides a class 'int64', which represents 64-bit integers exactly when reading from a file. The latter is useful when working with 64-bit integer identifiers exported from databases. The CSV file loader supports common column types including 'integer', 'double', 'string', and 'int64', leaving further type transformations to the user.

Getting started

Package details

AuthorSergei Izrailev
MaintainerSergei Izrailev <sizrailev@jabiruventures.com>
LicenseApache License (== 2.0)
Version1.2.2
URL https://github.com/jabiru/csvread
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jabiru/csvread")
jabiru/csvread documentation built on Jan. 11, 2024, 2:46 a.m.