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Benchmark for implementation of servers that support 1m connections

inspired by handling 1M websockets connections in Go

Servers

  1. 1_simple_tcp_server: a 1m-connections server implemented based on goroutines per connection
  2. 2_epoll_server: a 1m-connections server implemented based on epoll
  3. 3_epoll_server_throughputs: add throughputs and latency test for 2_epoll_server
  4. 4_epoll_client: implement the client based on epoll
  5. 5_multiple_client: use multiple epoll to manage connections in client
  6. 6_multiple_server: use multiple epoll to manage connections in server
  7. 7_server_prefork: use prefork style of apache to implement server
  8. 8_server_workerpool: use Reactor pattern to implement multiple event loops
  9. 9_few_clients_high_throughputs: a simple goroutines per connection server for test throughtputs and latency
  10. 10_io_intensive_epoll_server: an io-bound multiple epoll server
  11. 11_io_intensive_goroutine: an io-bound goroutines per connection server
  12. 12_cpu_intensive_epoll_server: a cpu-bound multiple epoll server
  13. 13_cpu_intensive_goroutine: an cpu-bound goroutines per connection server

Test Environment

  • two E5-2630 V4 cpus, total 20 cores, 40 logicial cores.
  • 32G memory

tune the linux:

sysctl -w fs.file-max=2000500
sysctl -w fs.nr_open=2000500
sysctl -w net.nf_conntrack_max=2000500
ulimit -n 2000500

sysctl -w net.ipv4.tcp_tw_recycle=1
sysctl -w net.ipv4.tcp_tw_reuse=1

client sends the next request only when it has received the response. it has not used the pipeline style to test.

Benchmarks

1m connections

throughputs (tps) latency
goroutine-per-conn 202830 4.9s
single epoll(both server and client) 42495 23s
single epoll server 42402 0.8s
multiple epoll server 197814 0.9s
prefork 444415 1.5s
workerpool 190022 0.3s

中文介绍:

  1. 百万 Go TCP 连接的思考: epoll方式减少资源占用
  2. 百万 Go TCP 连接的思考2: 百万连接的服务器的性能
  3. 百万 Go TCP 连接的思考3: 低连接场景下的服务器的吞吐和延迟

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