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e92a05b551
Adds a `parallel` flag to `deno serve`. When present, we spawn multiple workers to parallelize serving requests. ```bash deno serve --parallel main.ts ``` Currently on linux we use `SO_REUSEPORT` and rely on the fact that the kernel will distribute connections in a round-robin manner. On mac and windows, we sort of emulate this by cloning the underlying file descriptor and passing a handle to each worker. The connections will not be guaranteed to be fairly distributed (and in practice almost certainly won't be), but the distribution is still spread enough to provide a significant performance increase. --- (Run on an Macbook Pro with an M3 Max, serving `deno.com` baseline:: ``` ❯ wrk -d 30s -c 125 --latency http://127.0.0.1:8000 Running 30s test @ http://127.0.0.1:8000 2 threads and 125 connections Thread Stats Avg Stdev Max +/- Stdev Latency 239.78ms 13.56ms 330.54ms 79.12% Req/Sec 258.58 35.56 360.00 70.64% Latency Distribution 50% 236.72ms 75% 248.46ms 90% 256.84ms 99% 268.23ms 15458 requests in 30.02s, 2.47GB read Requests/sec: 514.89 Transfer/sec: 84.33MB ``` this PR (`with --parallel` flag) ``` ❯ wrk -d 30s -c 125 --latency http://127.0.0.1:8000 Running 30s test @ http://127.0.0.1:8000 2 threads and 125 connections Thread Stats Avg Stdev Max +/- Stdev Latency 117.40ms 142.84ms 590.45ms 79.07% Req/Sec 1.33k 175.19 1.77k 69.00% Latency Distribution 50% 22.34ms 75% 223.67ms 90% 357.32ms 99% 460.50ms 79636 requests in 30.07s, 12.74GB read Requests/sec: 2647.96 Transfer/sec: 433.71MB ```
7 lines
165 B
TypeScript
7 lines
165 B
TypeScript
console.log("starting serve");
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export default {
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fetch(_req: Request) {
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console.log("serving request");
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return new Response("deno serve parallel");
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},
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};
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