| # node-uuid Benchmarks | |
| ### Results | |
| To see the results of our benchmarks visit https://github.com/broofa/node-uuid/wiki/Benchmark | |
| ### Run them yourself | |
| node-uuid comes with some benchmarks to measure performance of generating UUIDs. These can be run using node.js. node-uuid is being benchmarked against some other uuid modules, that are available through npm namely `uuid` and `uuid-js`. | |
| To prepare and run the benchmark issue; | |
| ``` | |
| npm install uuid uuid-js | |
| node benchmark/benchmark.js | |
| ``` | |
| You'll see an output like this one: | |
| ``` | |
| # v4 | |
| nodeuuid.v4(): 854700 uuids/second | |
| nodeuuid.v4('binary'): 788643 uuids/second | |
| nodeuuid.v4('binary', buffer): 1336898 uuids/second | |
| uuid(): 479386 uuids/second | |
| uuid('binary'): 582072 uuids/second | |
| uuidjs.create(4): 312304 uuids/second | |
| # v1 | |
| nodeuuid.v1(): 938086 uuids/second | |
| nodeuuid.v1('binary'): 683060 uuids/second | |
| nodeuuid.v1('binary', buffer): 1644736 uuids/second | |
| uuidjs.create(1): 190621 uuids/second | |
| ``` | |
| * The `uuid()` entries are for Nikhil Marathe's [uuid module](https://bitbucket.org/nikhilm/uuidjs) which is a wrapper around the native libuuid library. | |
| * The `uuidjs()` entries are for Patrick Negri's [uuid-js module](https://github.com/pnegri/uuid-js) which is a pure javascript implementation based on [UUID.js](https://github.com/LiosK/UUID.js) by LiosK. | |
| If you want to get more reliable results you can run the benchmark multiple times and write the output into a log file: | |
| ``` | |
| for i in {0..9}; do node benchmark/benchmark.js >> benchmark/bench_0.4.12.log; done; | |
| ``` | |
| If you're interested in how performance varies between different node versions, you can issue the above command multiple times. | |
| You can then use the shell script `bench.sh` provided in this directory to calculate the averages over all benchmark runs and draw a nice plot: | |
| ``` | |
| (cd benchmark/ && ./bench.sh) | |
| ``` | |
| This assumes you have [gnuplot](http://www.gnuplot.info/) and [ImageMagick](http://www.imagemagick.org/) installed. You'll find a nice `bench.png` graph in the `benchmark/` directory then. | |