Giter VIP home page Giter VIP logo

benchgraph's Introduction

benchgraph

Visualization of Golang benchmark output using Google charts

Introduction

In Golang we can analyze algorithm efficiency by writing benchmark functions and looking at execution time in ns/op. This task might become significantly hindered by increasing number of benchmark tests. One way to handle this is to visualize multiple benchmark results and track the function curve on a graph. The benchgraph reads benchmark output lines, prepare data for the graph, and upload data to remote server, which enables online view and html embedding. Graph turns out to be very handy in case of many algorithms that are tested against many arguments, especially if you are studing internal algorithm design.

Installation

git clone https://github.com/CodingBerg/benchgraph.git
cd ./benchmark
go get ./
go install

Naming convention

In order for benchgraph to work a coder is required to follow the naming convention when coding benchmark functions:

// Naming convention
func Benchmark[Function_name]_[Function_argument](b *testing.B){
...
}

For example, if we take one line from the benchmark output,

BenchmarkF1_F-4       	30000000	        53.7 ns/op

it will be parsed and plotted on graph as function F1(F)=53.7, taking F as an argument and 53.7 as function result. In short, X-axis shows function arguments, while Y-axis shows function execution time in ns/op.

Usage

The output of benchmark is piped through benchgraph:

go test -bench .|benchgraph -title="Graph: F(x) in ns/op"
testing: warning: no tests to run
? PASS
√ BenchmarkF1_F-4       	30000000	        53.7 ns/op
√ BenchmarkF1_FF-4      	20000000	        62.9 ns/op
√ BenchmarkF1_FFF-4     	20000000	        70.0 ns/op
√ BenchmarkF1_FFFF-4    	20000000	        80.3 ns/op
√ BenchmarkF1_FFFFF-4   	20000000	        90.8 ns/op
√ BenchmarkF1_FFFFFF-4  	20000000	        99.5 ns/op
...
Waiting for server response ...
=========================================

http://benchgraph.codingberg.com/1

=========================================

In front of every line benchgraph places indicator whether line is parsed correctly, or not. When you see red marks - or ?, it means, either you do not follow the naming convention from above, or the line doesn't contain benchmark test at all. At the end, benchgraph returns URL to the graph. From there, follow instructions how to embed graph into custom HTML page. Also, you can just share the graph link.

Help

benchgraph -help
Usage of benchgraph:
  -apiurl string
    	url to server api (default "http://benchgraph.codingberg.com")
  -oba value
    	comma-separated list of benchmark arguments (default [])
  -obn value
    	comma-separated list of benchmark names (default [])
  -title string
    	title of a graph (default "Graph: Benchmark results in ns/op")

You can filter out which functions and against which arguments you want to display on graph by passing -obn and -oba arguments. This can be very handy in case when performing many benchmark tests.

go test -bench .|benchgraph -title="Graph1: Benchmark F(x) in ns/op" -obn="F2,F3,F4" -oba="F,FF,FFF,FFFF,FFFFF,FFFFFF,FFFFFFF,FFFFFFFF"

Hints on productivity

You can first save benchmark output and then use it later for drawing graphs. This is very handy if your benchmark tests take some time to complete.

go test -bench . > out

cat out|benchgraph -title="Graph1: Benchmark F(x) in ns/op" -obn="F2,F3,F4" -oba="F,FF,FFF,FFFF,FFFFF,FFFFFF,FFFFFFF,FFFFFFFF"
cat out|benchgraph -title="Graph2: Benchmark F(x) in ns/op" -obn="F2,F3,F4" -oba="0F,F0,F00,F000,F0000,F00000,F000000,F0000000"

Online Demo

Here we analyze efficiency of different algorithms for computing parity of uint64 numbers:

http://codingberg.com/golang/interview/compute_parity_of_64_bit_unsigned_integer

There are two graphs embedded into page behind above link:

http://benchgraph.codingberg.com/1

http://benchgraph.codingberg.com/2

Both above links can be also shared without emebeding into HTML page.

benchgraph's People

Contributors

codingberg avatar

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.