AVL tree
Promise-based AVL-tree: Largely copied from avl, but the comparator function returns a Promise!
Existing AVL modules perform all operations synchronously. But what if
your custom comparator
function is asynchronous? -- for example, if
you need to perform a database query, a network request or wait
for a user's input.
avl-promise to the rescue! However, the performance takes a hit -- even if your async comparator immediatly resolves to a numeric value. So, use with caution and at your own risk.
Operation | Average | Worst case |
---|---|---|
Space | O(n) | O(n) |
Search | O(log n) | O(log n) |
Insert | O(log n) | O(log n) |
Delete | O(log n) | O(log n) |
Install
npm i -S avl-promise
;const tree = ;
Or use the compiled version 'dist/avl-promise.js'.
API
Synchronous methods
new AVLTree([compare], [noDuplicates:Boolean])
, wherecompare
is optional comparison Promise-returning functiontree.at(index:Number):Node|Null
- Return node by its index in sorted order of keystree.forEach(function(node) {...}):Tree
In-order traversaltree.keys():Array<key>
- Returns the array of keys in ordertree.values():Array<*>
- Returns the array of data fields in ordertree.pop():Node
- Removes smallest nodetree.min():key
- Returns min keytree.max():key
- Returns max keytree.minNode():Node
- Returns the node with smallest keytree.maxNode():Node
- Returns the node with highest keytree.prev(node):Node
- Predecessor nodetree.next(node):Node
- Successor node
Promise methods
The following methods are dependent on the compare
function and, as
such, return Promises.
tree.insert(key:any, [data:any])
- Insert itemtree.find(key):Node|Null
- Return node by its keytree.contains(key):Boolean
- Whether a node with the given key is in the treetree.load(keys:Array<*>, [values:Array<*>]):Tree
- Bulk-load itemstree.remove(key:any)
- Remove itemtree.range(lo, high, function(node) {} [, context]):Tree
- Walks the range of keys in order. Stops, if the visitor function returns a non-zero value.
Comparator
function(a:key,b:key):Promise(Number)
- Comparator function between two keys, it resolves to:
0
if the keys are equal<0
ifa < b
>0
ifa > b
The comparator function is extremely important, in case of errors you might end
up with a wrongly constructed tree or would not be able to retrieve your items.
It is crucial to test the return values of your comparator(a,b)
and comparator(b,a)
to make sure it's working correctly, otherwise you may have bugs that are very
unpredictable and hard to catch.
Duplicate keys
By default, tree allows duplicate keys. You can disable that by passing true
as a second parameter to the tree constructor. In that case if you would try to
instert an item with the key, that is already present in the tree, it will not
be inserted.
However, the default behavior allows for duplicate keys, cause there are cases
where you cannot predict that the keys would be unique (example: overlapping
points in 2D).
Example
; const t = ;t ; // 4
Custom comparator (reverse sort)
; const t = b - a;t ; // [33, 5, 2, 0, -10]
Bulk insert
; const t = ;t ;
Benchmarks
npm run benchmark
Insert (x1000)
Bintrees x 3,276 ops/sec ±5.03% (71 runs sampled)
Functional red black tree x 1,648 ops/sec ±9.58% (70 runs sampled)
Google Closure library AVL x 564 ops/sec ±8.28% (76 runs sampled)
AVL (sync version) x 5,585 ops/sec ±2.74% (83 runs sampled)
AVL Promise (current) x 2.98 ops/sec ±11.09% (19 runs sampled)
- Fastest is AVL (sync version)
Random read (x1000)
Bintrees x 17,922 ops/sec ±4.22% (82 runs sampled)
Functional red black tree x 12,898 ops/sec ±6.93% (81 runs sampled)
Google Closure library AVL x 21.69 ops/sec ±11.76% (41 runs sampled)
AVL (sync version) x 9,884 ops/sec ±14.96% (65 runs sampled)
AVL Promise (current) x 33.90 ops/sec ±24.63% (48 runs sampled)
- Fastest is Bintrees
Remove (x1000)
Bintrees x 169,381 ops/sec ±5.63% (73 runs sampled)
Functional red black tree x 20,195 ops/sec ±28.25% (62 runs sampled)
Google Closure library AVL x 25,000 ops/sec ±11.19% (77 runs sampled)
AVL (sync version) x 108,944 ops/sec ±1.17% (86 runs sampled)
AVL Promise (current) x 122 ops/sec ±3.17% (70 runs sampled)
- Fastest is Bintrees
Adding google closure library to the benchmark is, of course, unfair, cause the node.js version of it is not optimised by the compiler, but in this case it plays the role of straight-forward robust implementation.
Develop
npm inpm tnpm run build
Acknowledgements
Many thanks to Alexander Milevski, whoose module avl was adapted (both the code and the docs), with just the minimum changes needed to make it work asynchronously, to create avl-promise.
License
The MIT License (MIT)
Copyright (c) 2018 André Santos andrefs@andrefs.com
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.