Awesome

Ngram Indexing

This package provide a simple way to "Nrigram Indexing" in input document. It is refer from an article - Google Code Search.

Here is the introduction what is "trigram indexing" and how Google Code Search use it for search but it is in Chinese :) .

Performance Optimization

This package base on my another project Trigram, but it got better performance(~3 times). (refer Benchmark)

It has done as follow:

Replace operation data in slice rather than map in intersect operation
But still remain using map in query

How it works

This package using trigram indexing to get all trigram in input string (what we call document).

Here is some trigram rule as follow:

It will not transfer Upper case to Lower case. (follow code search rule)
Includes "space"

Install

go get github.com/kkdai/ngram

Usage


package main

import (
	"fmt"
	. "github.com/kkdai/ngram"
	)
func main() {	
	//Currently is support Twogram, Trigram and Fourgram
	ti := NewNgramIndex(Trigram)
	ti.Add("Code is my life")			//doc 1
	ti.Add("Search")						//doc 2
	ti.Add("I write a lot of Codes") //doc 3
	
	//Print all trigram map 
	fmt.Println("It has ", len(ti.TrigramMap))
	for k, v := range ti.TrigramMap {
		fmt.Println("trigram=", k, " obj=", v)
	}

	//Search which doc include this code
	ret := ti.Query("Code")
	fmt.Println("Query ret=", ret)
	// [1, 3]
}

Benchmark

Still working to improve the query time.

//Original benchmark in trigram
BenchmarkAddTwogram-4    	  200000	      7151 ns/op
BenchmarkAddTrigram-4    	  300000	      6713 ns/op
BenchmarkAddFourgran-4   	  300000	      5813 ns/op
BenchmarkDeleteTwogram-4 	  500000	      4591 ns/op
BenchmarkDeleteTrigram-4 	  500000	      3695 ns/op
BenchmarkDeleteFourgram-4	  500000	      3297 ns/op
BenchmarkQueryTwogran-4  	   10000	   8361813 ns/op
BenchmarkQueryTrigran-4  	   10000	   7650419 ns/op
BenchmarkQueryFourgram-4 	   10000	   6975925 ns/op


//Optimize result
BenchmarkAddTwogram-4    	  300000	      5737 ns/op
BenchmarkAddTrigram-4    	  500000	      4795 ns/op
BenchmarkAddFourgran-4   	  500000	      4158 ns/op
BenchmarkDeleteTwogram-4 	   20000	    167246 ns/op
BenchmarkDeleteTrigram-4 	   20000	    148756 ns/op
BenchmarkDeleteFourgram-4	   20000	    128022 ns/op
BenchmarkQueryTwogran-4  	   10000	   2461910 ns/op
BenchmarkQueryTrigran-4  	   10000	   2276625 ns/op
BenchmarkQueryFourgram-4 	   10000	   2172323 ns/op

BTW: Here is benchmark for https://github.com/dgryski/go-trigram for my improvement record:

BenchmarkAdd-4       1000000          1063 ns/op
BenchmarkDelete-4     100000        140392 ns/op
BenchmarkQuery-4       10000        474320 ns/op