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https://github.com/tidwall/celltree
A fast in-memory prefix tree that uses uint64 for keys and allows for duplicate entries.
https://github.com/tidwall/celltree
Last synced: 3 months ago
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A fast in-memory prefix tree that uses uint64 for keys and allows for duplicate entries.
- Host: GitHub
- URL: https://github.com/tidwall/celltree
- Owner: tidwall
- License: mit
- Created: 2018-03-13T00:58:59.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-02-03T23:14:39.000Z (over 3 years ago)
- Last Synced: 2024-06-20T19:18:56.381Z (5 months ago)
- Language: Go
- Homepage:
- Size: 27.3 KB
- Stars: 200
- Watchers: 6
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# `celltree`
[](https://godoc.org/github.com/tidwall/celltree)
A fast in-memory prefix tree that uses uint64 for keys, interface{} for data, and allows for duplicate entries.
# Getting Started
### Installing
To start using celltree, install Go and run `go get`:
```sh
$ go get -u github.com/tidwall/celltree
```
## Example
```go
var tr celltree.Tree
tr.Insert(10, nil)
tr.Insert(5, nil)
tr.Insert(31, nil)
tr.Insert(16, nil)
tr.Insert(9, nil)
tr.Scan(func(cell uint64, data interface{}) bool {
println(cell)
return true
})
```
Outputs:
```
5
9
10
16
31
```
## Performance
Single threaded performance comparing this package to
[google/btree](https://github.com/google/btree).
```
$ go test
-- celltree --
insert 1,048,576 ops in 318ms 3,296,579/sec
scan 100 ops in 824ms 121/sec
range 1,048,576 ops in 144ms 7,245,252/sec
remove 1,048,576 ops in 244ms 4,281,322/sec
memory 40,567,280 bytes 38/entry
-- btree --
insert 1,048,576 ops in 1003ms 1,044,876/sec
scan 100 ops in 1195ms 83/sec
range 1,048,576 ops in 443ms 2,364,467/sec
remove 1,048,576 ops in 1198ms 874,723/sec
memory 49,034,992 bytes 46/entry
```
*These benchmarks were run on a MacBook Pro 15" 2.8 GHz Intel Core i7 using Go 1.10*
## Contact
Josh Baker [@tidwall](http://twitter.com/tidwall)
## License
`celltree` source code is available under the MIT [License](/LICENSE).