Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/fperf/fperf
Framework of performance testing
https://github.com/fperf/fperf
benchmark performance
Last synced: 11 days ago
JSON representation
Framework of performance testing
- Host: GitHub
- URL: https://github.com/fperf/fperf
- Owner: fperf
- License: apache-2.0
- Created: 2016-03-19T07:08:59.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2020-01-20T07:34:37.000Z (over 4 years ago)
- Last Synced: 2024-04-11T14:20:59.613Z (2 months ago)
- Topics: benchmark, performance
- Language: Go
- Size: 81.1 KB
- Stars: 335
- Watchers: 17
- Forks: 39
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- go-awesome - fperf - 压测工具 (开源类库 / 测试)
README
# Framework of performance testing
[](https://travis-ci.org/fperf/fperf)
[](https://goreportcard.com/report/github.com/fperf/fperf)
fperf is a powerful and flexible framework which allows you to develop your own benchmark tools so much easy.
**You create the client and send requests, fperf do the concurrency and statistics, then give you a report about qps and latency.**
Any one can create powerful performance benchmark tools by fperf with only some knowledge about how to send a request.
## Build fperf with the builtin clients
```sh
go install ./bin/fperf
```
or use fperf-build
```
go install ./bin/fperf-build
fperf-build ./clients/*
```
## Quick Start
If you can not wait to run `fperf` to see how it works, follow the [quickstart](docs/quickstart.md)
here.
## Customize client
You can build your own client based on fperf framework. A client in fact is a client that
implement the fperf.Client or to say more precisely fperf.UnaryClient or fperf.StreamClient.
An unary client is a client to send requests. It works in request-reply model. For example,
HTTP benchmark client is an unary client. See [http client](clients/http/httpclient.go).
```go
type Client interface {
Dial(addr string) error
}
type UnaryClient interface {
Client
Request() error
}
```
A stream client is a client to send and receive data by stream or datagram. TCP and UDP nomarlly
can be implemented as stream client. Google's grpc has a stream mode and can be used as a stream
client. See [grpc_testing](client/grpc_testing_client.go)
```go
type StreamClient interface {
Client
CreateStream(ctx context.Context) (Stream, error)
}
type Stream interface {
DoSend() error
DoRecv() error
}
```
### Three steps to create your own client
1.Create the "NewClient" function
```go
package demo
import (
"fmt"
"github.com/fperf/fperf"
"time"
)
type demoClient struct{}
func newDemoClient(flag *fperf.FlagSet) fperf.Client {
return &demoClient{}
}
```
2.Implement the UnaryClient or StreamClient
```go
func (c *demoClient) Dial(addr string) error {
fmt.Println("Dial to", addr)
return nil
}
func (c *demoClient) Request() error {
time.Sleep(100 * time.Millisecond)
return nil
}
```
3.Register to fperf
```go
func init() {
fperf.Register("demo", dewDemoClient, "This is a demo client discription")
}
```
### Building custom clients
You client should be in the same workspace(same $GOPATH) with fperf.
#### Using fperf-build
`fperf-build` is a tool to build custom clients. It accepts a path of your package and
create file `autoimport.go` which imports all your clients when build fperf, then cleanup the
generated files after buiding.
Installing from source
```
go install ./bin/fperf-build
```
or installing from github
```
go get github.com/fperf/fperf/bin/fperf-build
```
```shell
fperf-build [packages]
```
`packages` can be go importpath(see go help importpath) or absolute path to your package
For example, build all clients alang with fperf(using relative importpath)
```
fperf-build ./clients/*
```
## Run benchmark
### Options
```
Usage: ./fperf [options]
options:
-N int
number of request per goroutine
-async
send and recv in seperate goroutines
-burst int
burst a number of request, use with -async=true
-connection int
number of connection (default 1)
-cpu int
set the GOMAXPROCS, use go default if 0
-delay duration
wait delay time before send the next request
-goroutine int
number of goroutines per stream (default 1)
-recv
perform recv action (default true)
-send
perform send action (default true)
-server string
address of the target server (default "127.0.0.1:8804")
-stream int
number of streams per connection (default 1)
-tick duration
interval between statistics (default 2s)
-type string
set the call type:unary, stream or auto. default is auto (default "auto")
clients:
http : HTTP performanch benchmark client
mqtt-publish : benchmark of mqtt publish
redis : redis performance benchmark
```
### Draw live graph with grafana
TODO export data into influxdb and draw graph with grafana