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feat: implement fastify server #2437

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@Romakita Romakita marked this pull request as draft September 19, 2023 05:24
@Romakita Romakita changed the title wip feat: impement fastify server Sep 19, 2023
@Romakita Romakita changed the title feat: impement fastify server feat: implement fastify server Sep 20, 2023
@Romakita Romakita mentioned this pull request Sep 26, 2023
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@Romakita Romakita force-pushed the feat-fastify branch 3 times, most recently from f00f933 to 1af265e Compare January 4, 2024 07:02
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github-actions bot commented Feb 3, 2024

Benchmarks

  • Machine: linux x64 | 4 vCPUs | 15.6GB Mem
  • Node: v18.19.0
  • Run: Sat Feb 03 2024 08:48:57 GMT+0000 (Coordinated Universal Time)
  • Method: autocannon -c 100 -d 10 -p 10 localhost:3000 (two rounds; one to warm-up, one to measure)
Version Router Requests/s Latency Throughput/Mb
fastify 3.29.4 42422.4 23.06 7.57
nest-fastify 8.4.3 39520.0 24.81 7.05
koa 2.13.4 34252.4 28.70 6.11
fastify-injector 3.29.4 29482.9 33.39 6.72
express 4.18.1 10838.2 91.51 1.93
fastify-big-json 3.29.4 9859.0 100.45 113.41
nest 8.4.3 9820.0 100.82 2.36
express-injector 4.18.1 9342.4 106.14 2.13
express-morgan 4.18.1 6972.4 142.13 1.24
tsed-express 7.61.0 N/A N/A N/A
tsed-koa 7.61.0 N/A N/A N/A

Explanation

The benchmark shows a performance difference between the frameworks. We note that Ts.ED is often last. In fact, Ts.ED uses features useful to a production application which reduce its performance.

For example, Ts.ED initializes a sandbox (async_hook) for each request in order to work in an isolated context if necessary.
It also initializes the elements necessary for monitoring requests in a log manager.

All this at a necessary cost that reflects the reality of a production application ;)

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Benchmarks

  • Machine: linux x64 | 4 vCPUs | 15.6GB Mem
  • Node: v18.19.1
  • Run: Sun Mar 24 2024 09:27:42 GMT+0000 (Coordinated Universal Time)
  • Method: autocannon -c 100 -d 10 -p 10 localhost:3000 (two rounds; one to warm-up, one to measure)
Version Router Requests/s Latency Throughput/Mb
koa 2.13.4 34043.6 28.86 6.07
tsed-koa 7.67.0 11684.0 84.82 9.89
express 4.18.1 10255.6 96.66 1.83
nest 8.4.3 9838.2 100.77 2.36
express-injector 4.18.1 9655.8 102.43 2.20
tsed-express 7.67.0 8685.0 114.11 1.59
express-morgan 4.18.1 5713.6 173.18 1.02
fastify-big-json 3.29.4 N/A N/A N/A
fastify-injector 3.29.4 N/A N/A N/A
fastify 3.29.4 N/A N/A N/A
nest-fastify 8.4.3 N/A N/A N/A

Explanation

The benchmark shows a performance difference between the frameworks. We note that Ts.ED is often last. In fact, Ts.ED uses features useful to a production application which reduce its performance.

For example, Ts.ED initializes a sandbox (async_hook) for each request in order to work in an isolated context if necessary.
It also initializes the elements necessary for monitoring requests in a log manager.

All this at a necessary cost that reflects the reality of a production application ;)

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Benchmarks

  • Machine: linux x64 | 4 vCPUs | 15.6GB Mem
  • Node: v18.19.1
  • Run: Sun Mar 24 2024 09:46:01 GMT+0000 (Coordinated Universal Time)
  • Method: autocannon -c 100 -d 10 -p 10 localhost:3000 (two rounds; one to warm-up, one to measure)
Version Router Requests/s Latency Throughput/Mb
koa 2.13.4 34194.4 28.73 6.10
tsed-koa 7.67.0 11982.9 82.68 10.15
express 4.18.1 10485.5 94.36 1.87
nest 8.4.3 9939.8 99.81 2.39
express-injector 4.18.1 9195.8 107.61 2.10
tsed-express 7.67.0 8751.6 113.06 1.60
express-morgan 4.18.1 5635.6 175.60 1.00
fastify-big-json 3.29.4 N/A N/A N/A
fastify-injector 3.29.4 N/A N/A N/A
fastify 3.29.4 N/A N/A N/A
nest-fastify 8.4.3 N/A N/A N/A

Explanation

The benchmark shows a performance difference between the frameworks. We note that Ts.ED is often last. In fact, Ts.ED uses features useful to a production application which reduce its performance.

For example, Ts.ED initializes a sandbox (async_hook) for each request in order to work in an isolated context if necessary.
It also initializes the elements necessary for monitoring requests in a log manager.

All this at a necessary cost that reflects the reality of a production application ;)

Copy link

Benchmarks

  • Machine: linux x64 | 4 vCPUs | 15.6GB Mem
  • Node: v18.19.1
  • Run: Sun Mar 24 2024 10:18:36 GMT+0000 (Coordinated Universal Time)
  • Method: autocannon -c 100 -d 10 -p 10 localhost:3000 (two rounds; one to warm-up, one to measure)
Version Router Requests/s Latency Throughput/Mb
koa 2.13.4 34670.6 28.33 6.18
tsed-koa 7.67.0 12099.3 81.88 10.25
express 4.18.1 10520.4 94.27 1.88
nest 8.4.3 10449.1 94.85 2.51
express-injector 4.18.1 9516.2 104.14 2.17
tsed-express 7.67.0 8903.0 111.29 1.63
express-morgan 4.18.1 5732.8 172.50 1.02
fastify-big-json 3.29.4 N/A N/A N/A
fastify-injector 3.29.4 N/A N/A N/A
fastify 3.29.4 N/A N/A N/A
nest-fastify 8.4.3 N/A N/A N/A

Explanation

The benchmark shows a performance difference between the frameworks. We note that Ts.ED is often last. In fact, Ts.ED uses features useful to a production application which reduce its performance.

For example, Ts.ED initializes a sandbox (async_hook) for each request in order to work in an isolated context if necessary.
It also initializes the elements necessary for monitoring requests in a log manager.

All this at a necessary cost that reflects the reality of a production application ;)

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