GithubHelp home page GithubHelp logo

add benchmark results to docs about gorpc HOT 2 OPEN

valyala avatar valyala commented on June 26, 2024
add benchmark results to docs

from gorpc.

Comments (2)

valyala avatar valyala commented on June 26, 2024

I'll definitely add real-life benchmark results comparing gorpc to net/rpc (and, probably, other popular rpc implementations) into README.md.

Currently bench_test.go contains benchmarks, which can be used for performance comparisons with certain grain of salt. Here are results from my machine:

    $ go test -run=None -bench=rpc
    PASS
    BenchmarkNetrpcInt-4           50000         29676 ns/op
    BenchmarkNetrpcByteSlice-4     50000         30501 ns/op
    BenchmarkNetrpcStruct-4        20000         75986 ns/op
    BenchmarkGorpcInt-4           100000         20267 ns/op
    BenchmarkGorpcByteSlice-4      50000         21694 ns/op
    BenchmarkGorpcStruct-4         20000         62887 ns/op

These results may be far from real life, since both server and client are running on the same machine during benchmarks. In the real world client and server are usually located on distinct physical machines connected over the network. Gorpc should work faster in the real world, since it:

  • minimizes the number of send()/recv() syscalls under high load (which, in turn, should minimize the number of network packets required for rpc).
  • minimizes the amount of data floating over the network between client and server.

from gorpc.

renanbastos93 avatar renanbastos93 commented on June 26, 2024

Maybe, we can put on benchmark to compare with gRPC

from gorpc.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.