The Case: Weather API - I will assume that the task is simple and I just want to make an API to return the weather based on another API
The code
package main
import (
"encoding/json"
"io/ioutil"
"net/http"
"github.com/gorilla/mux"
)
type ResponseBody struct {
CurrentObservation struct {
Weather string `json:"weather"`
Temperature string `json:"temperature_string"`
DisplayLocation struct {
City string `json:"city"`
} `json:"display_location"`
} `json:"current_observation"`
}
var weather ResponseBody
func main() {
// start the api
r := mux.NewRouter()
r.HandleFunc("/", HomeHandler)
http.ListenAndServe(":8080", r)
}
// handler
func HomeHandler(w http.ResponseWriter, r *http.Request) {
// load the weather first
weather = getWeather()
b, _ := json.Marshal(weather)
w.Write(b)
}
// get wether from wunderground api
func getWeather() ResponseBody {
url := "http://api.wunderground.com/api/MY_API_KEY/conditions/q/CA/San_Francisco.json"
req, err := http.NewRequest("GET", url, nil)
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
var rb ResponseBody
json.Unmarshal([]byte(body), &rb)
return rb
}
Now every time someone hits the API it will send a request to the weather API, but this won't be efficient when I will have concurrent requests, so I will cache it in memory and will update the data in a go-routine every one second
First: I will move the getWeather call to the main function
func main() {
// load the weather first
weather = getWeather()
// start the api
r := mux.NewRouter()
r.HandleFunc("/", HomeHandler)
http.ListenAndServe(":8080", r)
}
// handler
func HomeHandler(w http.ResponseWriter, r *http.Request) {
b, _ := json.Marshal(weather)
w.Write(b)
}
and will start a go-routine in the main function too
func main() {
// load the weather first
weather = getWeather()
// update data every 1 second
go func() {
for {
time.Sleep(time.Second)
weather = getWeather()
}
}()
// start the api
r := mux.NewRouter()
r.HandleFunc("/", HomeHandler)
http.ListenAndServe(":8080", r)
}
so now the application could handle concurrent requests up to minimum 250 concurrent after testing with siege tool
Transactions: 250 hits
Availability: 100.00 %
Elapsed time: 0.47 secs
Data transferred: 0.03 MB
Response time: 0.00 secs
Transaction rate: 531.91 trans/sec
Throughput: 0.07 MB/sec
Concurrency: 2.15
Successful transactions: 250
Failed transactions: 0
Longest transaction: 0.04
Shortest transaction: 0.00
So is it right to cache and update data in this way? Or there is something wrong and I should do it in a better way?
The basic approach is OK, but there's a data race on weather. Use a mutex to protect the variable:
var mu sync.RWMutex
var weather ResponseBody
func main() {
// load the weather first
weather = getWeather()
// update data every 1 second
go func() {
for {
time.Sleep(time.Second)
mu.Lock()
weather = getWeather()
mu.Unlock()
}
}()
// start the api
r := mux.NewRouter()
r.HandleFunc("/", HomeHandler)
http.ListenAndServe(":8080", r)
}
func HomeHandler(w http.ResponseWriter, r *http.Request) {
mu.RLock()
b, _ := json.Marshal(weather)
mu.RUnlock()
w.Write(b)
}
It is not necessary to guard the first assignment to weather in main because the assignment is guaranteed to happen before the updating goroutine and the request handlers started by ListenAndServer.
An improvement is to cache the response body bytes:
var mu sync.RWMutex
var resp []byte
func main() {
// load the weather first
weather := getWeather()
resp, _ = json.Marshal(weather)
// update data every 1 second
go func() {
for {
time.Sleep(time.Second)
mu.Lock()
weather = getWeather()
resp, _ = json.Marshal(weather)
mu.Unlock()
}
}()
// start the api
r := mux.NewRouter()
r.HandleFunc("/", HomeHandler)
http.ListenAndServe(":8080", r)
}
func HomeHandler(w http.ResponseWriter, r *http.Request) {
mu.RLock()
b := resp
mu.RUnlock()
w.Write(b)
}
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