Awesome Go

trie

CategoryData Structures and Algorithms
SubcategoryText Analysis
Stars0

Trie implementation in Go

About trie

GoDoc

Trie

Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching.

Usage

Create a Trie with:

t := trie.New()

Add Keys with:

// Add can take in meta information which can be stored with the key.
// i.e. you could store any information you would like to associate with
// this particular key.
t.Add("foobar", 1)

Find a key with:

node, ok := t.Find("foobar")
meta := node.Meta()
// use meta with meta.(type)

Remove Keys with:

t.Remove("foobar")

Prefix search with:

t.PrefixSearch("foo")

Fast test for valid prefix:

t.HasKeysWithPrefix("foo")

Fuzzy search with:

t.FuzzySearch("fb")

Contributing

Fork this repo and run tests with:

go test

Create a feature branch, write your tests and code and submit a pull request.

License

MIT

Frequently Asked Questions

What is trie?

trie is a Data Structures and Algorithms library for the Go programming language. Trie implementation in Go

How do I install trie?

Install trie with the Go module system using `go get derekparker/trie`. Check the repository for the current installation instructions.

What category does trie belong to?

trie is listed under Data Structures and Algorithms, specifically Text Analysis.

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