If you ever had to build a realtime web app and you’ve built yourself a REST backend (or you need to use same legacy REST backend), you most likely stumbled upon a pretty common issue: how do I stream a bunch of data from the backend to make it seem it’s updated in realtime?
There’s a bunch of ways to do this:
- You can use long polling; but this may add some networking overhead (creating and tearing down connections every time you need data is not very efficient)
- You can switch to WebSockets; but this means you need yo reimplement your API
- You can use the Streams API; you only need to update your API implementation to support it
Do note that the streams API is an experimental technology and currently a LS (living standard), but browser support is pretty good.
For the purpose of illustrating how the server and client implementations will look like, we’ll create a simple counter app that get’s a new value every second from the backend.
We’ll use echo to expose our counter endpoint:
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// main.go
package main
import (
"encoding/json"
"net/http"
"strconv"
"time"
"github.com/labstack/echo/v4"
"github.com/labstack/echo/v4/middleware"
)
type Counter struct {
Count int `json:"count"`
}
func main() {
e := echo.New()
e.Use(middleware.CORS())
e.GET("/counter", getCounter)
e.Logger.Fatal(e.Start(":9000"))
}
func getCounter(c echo.Context) error {
ctx := c.Request().Context()
c.Response().Header().Set(echo.HeaderContentType, echo.MIMEApplicationJSON)
c.Response().WriteHeader(http.StatusOK)
enc := json.NewEncoder(c.Response())
var i = 0
for {
select {
case <-ctx.Done():
return c.NoContent(http.StatusOK)
default:
counter := Counter{i}
if err := enc.Encode(counter); err != nil {
return err
}
c.Response().Flush()
time.Sleep(time.Second)
i++
}
}
}
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To start it just run:
And if you run:
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curl http://localhost:9000/counter
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You should get a bunch of JSON messages:
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{"count":0}
{"count":1}
{"count":2}
{"count":3}
{"count":4}
{"count":5}
{"count":6}
...
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We’ll use create-react-app to setup a simple app:
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create-react-app streams-api
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Now let’s make a simple react hook that will just fetch and stream data from a URL (so we can reuse it with any endpoint):
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// src/stream.js
import {
useCallback,
useEffect,
useRef,
useState
} from 'react';
/**
* Stream react hook
* @param {object} params
* @param {string} params.url
*/
export function useStream(params) {
const [data, setData] = useState(null);
const streamRef = useRef();
const url = useRef();
const stop = useCallback(() => {
if (streamRef.current) {
streamRef.current.abort();
}
}, []);
useEffect(() => {
if (url.current !== params.url) {
if (streamRef.current) {
streamRef.current.abort();
}
streamRef.current = new AbortController();
startStream(params.url, data => setData(data), streamRef.current.signal);
}
return () => { };
}, [params.url]);
return {data, stop};
}
/**
* Use this function to start streaming data from an URL
* @param {string} url
* @param {Function} cb
* @param {AbortSignal} sig
*/
export async function startStream(url, cb, signal) {
const res = await fetch(url, {
signal,
method: 'GET'
});
const reader = res.body.getReader();
while (true) {
const {done, value} = await reader.read();
const res = new Response(value);
try {
const data = await res.json();
if (typeof cb === 'function') {
cb(data);
}
} catch (e) {
return;
}
if (done) {
return;
}
}
}
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JSON Parsing
While the above example may work most of the time when parsing the data as JSON, it’s not guaranteed. And that’s because the data may be split into separate chunks on the client side. So you’ll need to account for that (see the tip at the top of this post for more info).
Now let’s use this hook with our counter endpoint:
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// src/App.js
import {useMemo} from 'react';
import {useStream} from './stream';
function App(props) {
const {data} = useStream({url: 'http://localhost:9000/counter'});
const count = useMemo(() => data !== null ? data.count : 0, [data]);
return (
<div>
<p>{count}</p>
</div>
);
}
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And now run the app:
It won’t look pretty, but you should be seeing a counter going up incrementally in the UI, similar to the curl call.
And that’s about it. I hope this simple example made it a little more clear how to use the streams API. Thanks for reading.
For more code examples checkout rolandjitsu/streams-api.