golang-graphql-benchmark
1m-go-tcp-server
| golang-graphql-benchmark | 1m-go-tcp-server | |
|---|---|---|
| 2 | 1 | |
| 130 | 1,857 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | about 3 years ago | |
| Go | Go | |
| MIT License | - |
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golang-graphql-benchmark
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More-or-less real world benchmark of Go vs node - would you like to do a Go part?
I would argue that single threaded node is the bottleneck: imagine you have 4 processors and 4 node processes, and each process ties to handle requests in a most effective: process first request, while accessing file or db it start processing another request. The libs, in contrary, written in a bad way is the main bottleneck, and it's easy to prove: here is a benchmark of go graphql implementations (testing simple hello world): https://github.com/appleboy/golang-graphql-benchmark graphql-go - 19k rps gqlgen + net/http - 52k rps - 2.5 times faster
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How to build a solid Go Graphql application quickly.
Have you ever tried gqlgen? I really enjoy the dev experience. It also looks like it has great benchmarks.
1m-go-tcp-server
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Network Scaling Question/Issue
I understand I solution is load balancing but the code isn't well prepared for that at the moment. I found something called epoll . After implementing in test, I came to realise the amount of workers = the number of tcp connections you can handle. When attempting to use 9000 workers, the server takes very long to start. At the moment I am trying to fulfil over 5000 tcp connections concurrently , each proxying to other servers (sometimes similar servers).
What are some alternatives?
graphql-benchmarks - GraphQL benchmarks using the-benchmarker framework.
go-cache-benchmark - Cache benchmark for Golang
golang-for-nodejs-developers - Examples of Golang compared to Node.js for learning 🤓
go-plugin-benchmark - Benchmark comparing the go plugin package to other plugin implementations
graphjin - GraphJin - Build NodeJS / GO APIs in 5 minutes not weeks
gev - 🚀Gev is a lightweight, fast non-blocking TCP network library / websocket server based on Reactor mode. Support custom protocols to quickly and easily build high-performance servers.
logbench - Golang logging library benchmarks
dnstrace - Command-line DNS benchmark
benchmarks - Fast and low overhead web framework fastify benchmarks.
redhub - High-performance Redis-Server multi-threaded framework, based on rawepoll model.
gnet - 🚀 gnet is a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go./ gnet 是一个高性能、轻量级、非阻塞的事件驱动 Go 网络框架。