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Using @service or @Inject to inject services can lead to performance issues when calling api (although not using them).
i used autocannon for benchmarking
Full command: autocannon -t12 -c1000 -d30 http://localhost:3000/ping
I tried to inject services into the controller (ping.controller). The more services I import and the larger the project, the more req in seconds decreases
Logs
No response
Additional information
I ran the project on 8 CPUs and tried it multiple times. These are the average results I got.
- Without Injection
I ran the autocannon test and got around 680k requests in 30 seconds.
- With `@service` (around 37 `@service` with the same service file)
I got around 420k requests in 30 seconds.
- With `@inject` (around 37 `@inject` with the same service file)
For me, this is to be expected.... Using DI indeed runs more code than not using it. So it is normal that it can slow down a bit. What I find very interesting tough is the fact that @Inject seems way faster than @service which is simply a sugar coated inject...
Describe the bug
Using @service or @Inject to inject services can lead to performance issues when calling api (although not using them).
i used autocannon for benchmarking
Full command:
autocannon -t12 -c1000 -d30 http://localhost:3000/ping
I tried to inject services into the controller (ping.controller). The more services I import and the larger the project, the more req in seconds decreases
Logs
No response
Additional information
I ran the project on 8 CPUs and tried it multiple times. These are the average results I got.
- Without Injection
I ran the autocannon test and got around 680k requests in 30 seconds.- With `@service` (around 37 `@service` with the same service file)
I got around 420k requests in 30 seconds.- With `@inject` (around 37 `@inject` with the same service file)
I got around 600k requests in 30 seconds.Reproduction
https://github.com/u3ih/loopback-benchmarking
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