- Qap is a quick parser for string or buffer patterns.
- It is optimized for using with pattern strings <= 255 bytes.
- Better results are achieved with long and sparse patterns.
- It is an implementation of QuickSearch algorithm.
Given a m-length pattern and n-length data and σ-length alphabet ( σ = 256 ):
- simplification of the Boyer-Moore algorithm ( see Bop ).
- uses only a bad-character shift table.
- preprocessing phase in O(m+σ) time and O(σ) space complexity.
- searching phase in O(m*n) time complexity.
- very fast in practice for short patterns and large alphabets.
See Lecroq for reference and also Bop, a Boyer-Moore parser.
$ npm install qap [-g]
require:
var Qap = require( 'qap' );
$cd qap/
$npm test
$ cd qap/
$ npm run-script bench
Create an instance with a Buffer or String pattern.
Qap( Buffer || String pattern )
// or
neq Qap( Buffer || String pattern )
List all pattern occurrences into a String or Buffer data. It returns a new array of indexes, or populates an array passed as the last argument to parse method.
// slower with String
Qap#parse( String data [, Number startFromIndex [, Number limitResultsTo [, Array array ] ] ] ) : Array
// faster with Buffer
Qap#parse( Buffer data [, Number startFromIndex [, Number limitResultsTo [, Array array ] ] ] ) : Array
Change the pattern :
Qap#set( Buffer || String pattern ) : Buffer
var log = console.log
, assert = require( 'assert' )
, Qap = require( 'qap' )
, pattern = 'hellofolks\r\n\r\n'
, text = 'hehe' + pattern +'loremipsumhellofolks\r\n' + pattern
, bresult = null
;
// create an instance and parse the pattern
var qap = Qap( pattern )
// parse data from beginning
, results = qap.parse( text )
;
// set a new Buffer pattern
qap.set( new Buffer( pattern ) );
// parse data Buffer instead of a String
bresults = qap.parse( new Buffer( text ) );
// parser results ( starting indexes ) [ 4, 40 ]
log( results, bresults );
// results are the same
assert.deepEqual( results, bresults );
Parser uses a Buffer 256-bytes long to build the shifting table, then:
- Pattern parsing / table creation space and time complexity is O(σ).
- Very low memory footprint.
- Ultra fast to preprocess pattern ( = table creation ).
$ node bench/small-pattern-data-rate
for default it:
- uses a pattern string of 57 bytes/chars
- builds a data buffer of 700 MB in memory
- uses a redundancy/distance factor for pattern strings equal to 2. The bigger the value, the lesser are occurrences of pattern string into the text buffer.
Custom Usage:
# with [testBufferSizeInMB] [distanceFactor] [aStringPattern]
$ node bench/small-pattern-data-rate.js 700 4 "that'sallfolks"
Parser uses one Array to build the shifting table for a big pattern, then:
- table has a size of 256 elements, every element is an integer value that could be between 0 and the pattern length.
- Fast to preprocess pattern ( = table creation ).
- Low memory footprint
$ node bench/big-pattern-data-rate
- it uses a pattern size of 20MB
- builds a data buffer of 300MB copying pattern 12 times
See bench dir.
Copyright (c) 2013-present < Guglielmo Ferri : 44gatti@gmail.com >
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