I/O Tools for Streaming

Basic I/O tools for streaming and data parsing.

Anyone dealing with large data knows that stock tools in R are bad at loading (non-binary) data to R. This package started as an attempt to provide high-performance parsing tools that minimize copying and avoid the use of strings when possible (see mstrsplit, for example).

To allow processing of arbitrarily large files we have added way to process chunk-wise input, making it possible to compute on streaming input as well as very large files (see chunk.reader and chunk.apply).

The next natural progress was to wrap support for Hadoop streaming. The major goal was to make it possible to compute using Hadoop Map Reduce by writing code that is very natural - very much like using lapply on data chunks without the need to know anything about Hadoop. See the WiKi page for the idea and hmr function for the documentation.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.3-2 by Simon Urbanek, 4 months ago


Browse source code at https://github.com/cran/iotools

Authors: Simon Urbanek <[email protected]> , Taylor Arnold <[email protected]>

Documentation:   PDF Manual  

GPL-2 | GPL-3 license

Imports methods, parallel, utils

Suggests testthat

Imported by ctf, fplyr, rdhs, sequenza, wordspace.

See at CRAN