@article{,
title= {ratarmount indexes for PMC OpenAccess subset},
journal= {},
author= {rngadam@coderbunker.com},
year= {},
url= {},
abstract= {## the problem

PMC Open Access bulk article (commercial and non-commercial) is a hefty set of files
that weight in compressed at 79G and uncompressed at 388G.

Archive decompression time in itself can take hours.

A bittorrent mirror exists on:

https://academictorrents.com/details/06d6badd7d1b0cfee00081c28fddd5e15e106165

## the solution

ratarmount (https://github.com/mxmlnkn/ratarmount), a python application, allows us to
use FUSE (through fusepy) to mount a compressed archive as a disk, allowing us randomly
access files in the archive as a disk without first decompression.

To achieve good performance, it creates an index (an sqlite database per archive).

This set of indexes still weight in at 1.4G uncompressed (345M compressed).

## usage

* decompress all indexes in the same directory you've downloaded oa_bulk
* install ratarmount
* use ratarmount to mount the oa_bulk archives on the disk

a sample script ```mount.sh``` is provided as an example

## distribution

we also use bittorrent to distribute the set of indexes. },
keywords= {PMC, PubMed, ratarmount},
terms= {},
license= {CC BY 4.0},
superseded= {}
}