A native Node module implementing an ordered mapping of Buffers to Objects.
The goal is for super-duper-fast string matching. That means inputs and outputs are always Buffers.
The implementation is a ternary search tree. That strikes a good balance: memory usage isn't as excessive as with a hash table, and lookups aren't as slow as with a binary search tree.
var TernaryBufferTree = require('js-native-ternary-buffer-tree');
// Use as a set. Input is a single Buffer: newline-separated Strings.
//
// Performance will be best if the Strings are sorted in UTF-8 byte order.
var tree = new TernaryBufferTree(new Buffer('bar\nbaz\nfoo\nmoo\nthe foo', 'utf-8'));
console.log(tree.contains('foo')); // true
console.log(tree.contains('moo')); // false
// Use as a map. Input is a single Buffer: tabs separate keys from values.
//
// When a key is queried without a value, `.get()` returns `null`. When a key
// does not exist, `.get()` returns `undefined`.
//
// Performance will be best if input keys are sorted in UTF-8 byte order.
var tree = new TernaryBufferTree(new Buffer('foo\tFOO\nbar\tBAR\nbaz\tBAZ\nx\ny', 'utf-8'));
console.log(tree.get('foo')); // 'FOO'
console.log(tree.get('x')); // null -- exists but has no value
console.log(tree.get('moo')); // undefined
// Super-optimized method that scratches an itch we had
//
// You can insert multi-word tokens and then query for single-word or
// multi-word combinations. The dataset needn't have any values; the query
// words must be space-separated.
var tree = new TernaryBufferTree(new Buffer('bar\nbaz\nfoo\nmoo\nthe foo', 'utf-8'));
console.log(tree.findAllMatches('the foo drove over the moo', 2)); // [ 'the foo', 'foo', 'moo' ]
.contains(key)
is equivalent to .get(key) !== undefined
.
key
may be a String
or a UTF-8 Buffer
. Buffer
logic should be more
efficient, as String
input will be encoded as UTF-8 internally.
You can use TernaryBufferTree as a set or as a map. The input Buffer always
contains one key per line, but if you add a tab and then a value, the get()
method will return the given value for the given key.
If the key was provided without a value, .get(key)
will return null
. If
the key was not provided, .get(key)
will return undefined
.
key
may be a String
(and .get(key)
will return a String
); or it may be
a UTF-8 Buffer
(and .get(key)
will return a Buffer
). String
types imply
UTF-8 encoding and decoding; Buffer
types are more direct because the
tree data is stored as UTF-8.
This method is interesting in that it can search for tokens that span multiple words (the second argument specifies the number of words), in a memory-efficient manner. The memory used is the size of the output Array. The time complexity is on the order of the size of the input times the number of tokens.
tokens
may be a String
(and .findAllMatches(tokens, n)
will return an
Array
of String
s); or it may be a UTF-8 Buffer
(and
.findAllMatches(tokens, n)
will return an Array
of Buffer
s). String
types imply UTF-8 encoding and decoding; Buffer
types are more direct because
the tree data is stored as UTF-8.
Download, npm install
.
Run mocha -w
in the background as you implement features. Write tests in
test
and code in src
.
AGPL-3.0. This project is (c) Overview Services Inc., Overview Computing Inc. Please contact us should you desire a more permissive license.