Performances

Performances of Girolle.

Introduction

The performance of Girolle is a really important matter. The lib is made to be fast and to be able to handle a lot of request.

Cost of the serialization & deserialization

The cost of the serialization and deserialization is really low. The lib use serde_json to serialize and deserialize the data.

The average overhead of the serialization and deserialization is around 39 ns per call.

Benchmark

Client benchmark

Using hyperfine to test the client benchmark.

Girolle client ( with Girolle service )

hyperfine -N './target/release/examples/simple_sender'
Benchmark 1: ./target/release/examples/simple_sender
  Time (mean ± σ):      9.995 s ±  0.116 s    [User: 0.163 s, System: 0.197 s]
  Range (min … max):    9.778 s … 10.176 s    10 runs
```	

Nameko client ( with Girolle service )

```bash
hyperfine -N --warmup 3 'python nameko_test.py'
Benchmark 1: python nameko_test.py
  Time (mean ± σ):     15.654 s ±  0.257 s    [User: 1.455 s, System: 0.407 s]
  Range (min … max):   15.202 s … 15.939 s    10 runs

Service benchmark

Girolle service ( with Girolle client )

hyperfine -N './target/release/examples/simple_sender'
Benchmark 1: ./target/release/examples/simple_sender
  Time (mean ± σ):      9.995 s ±  0.116 s    [User: 0.163 s, System: 0.197 s]
  Range (min … max):    9.778 s … 10.176 s    10 runs

Nameko service running python 3.9.15 ( with Girolle client )

hyperfine -N --warmup 3 'target/release/examples/simple_sender'
Benchmark 1: target/release/examples/simple_sender
  Time (mean ± σ):     11.532 s ±  0.091 s    [User: 0.199 s, System: 0.213 s]
  Range (min … max):   11.396 s … 11.670 s    10 runs

Nameko service running python 3.9.15 ( with Nameko client )

hyperfine -N --warmup 3 'python nameko_test.py'
Benchmark 1: python nameko_test.py
  Time (mean ± σ):     15.587 s ±  0.325 s    [User: 1.443 s, System: 0.420 s]
  Range (min … max):   15.181 s … 16.034 s    10 runs