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Implement Concurrent Download of Large Files in JavaScript
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<!DOCTYPE html> | |
<html lang="zh-cn"> | |
<head> | |
<meta charset="UTF-8" /> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge" /> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0" /> | |
<title>Concurrent Download Demo</title> | |
<script src="multi-thread-download.js"></script> | |
</head> | |
<body> | |
<p>File URL:<input type="text" id="fileUrl" value="" /></p> | |
<div> | |
<h3>Concurrent Download Demo</h3> | |
<button onclick="multiThreadedDownload()">Download</button> | |
</div> | |
<script> | |
function multiThreadedDownload() { | |
const url = document.querySelector("#fileUrl").value; | |
if (!url || !/https?/.test(url)) return; | |
console.log("Start: " + +new Date()); | |
download({ | |
url, | |
chunkSize: 1 * 1024 * 1024, | |
poolLimit: 6, | |
}).then((buffers) => { | |
console.log("End: " + +new Date()); | |
saveAs({ buffers, name: "my-zip-file", mime: "application/zip" }); | |
}); | |
} | |
</script> | |
</body> | |
</html> |
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function concatenate(arrays) { | |
if (!arrays.length) return null; | |
let totalLength = arrays.reduce((acc, value) => acc + value.length, 0); | |
let result = new Uint8Array(totalLength); | |
let length = 0; | |
for (let array of arrays) { | |
result.set(array, length); | |
length += array.length; | |
} | |
return result; | |
} | |
function getContentLength(url) { | |
return new Promise((resolve, reject) => { | |
let xhr = new XMLHttpRequest(); | |
xhr.open("HEAD", url); | |
xhr.send(); | |
xhr.onload = function () { | |
resolve( | |
// xhr.getResponseHeader("Accept-Ranges") === "bytes" && | |
~~xhr.getResponseHeader("Content-Length") | |
); | |
}; | |
xhr.onerror = reject; | |
}); | |
} | |
function getBinaryContent(url, start, end, i) { | |
return new Promise((resolve, reject) => { | |
try { | |
let xhr = new XMLHttpRequest(); | |
xhr.open("GET", url, true); | |
xhr.setRequestHeader("range", `bytes=${start}-${end}`); // Set range request information | |
xhr.responseType = "arraybuffer"; // Set the returned type to arraybuffer | |
xhr.onload = function () { | |
resolve({ | |
index: i, // file block index | |
buffer: xhr.response, | |
}); | |
}; | |
xhr.send(); | |
} catch (err) { | |
reject(new Error(err)); | |
} | |
}); | |
} | |
function saveAs({ name, buffers, mime = "application/octet-stream" }) { | |
const blob = new Blob([buffers], { type: mime }); | |
const blobUrl = URL.createObjectURL(blob); | |
const a = document.createElement("a"); | |
a.download = name || Math.random(); | |
a.href = blobUrl; | |
a.click(); | |
URL.revokeObjectURL(blob); | |
} | |
async function asyncPool(concurrency, iterable, iteratorFn) { | |
const ret = []; // Store all asynchronous tasks | |
const executing = new Set(); // Stores executing asynchronous tasks | |
for (const item of iterable) { | |
// Call the iteratorFn function to create an asynchronous task | |
const p = Promise.resolve().then(() => iteratorFn(item, iterable)); | |
ret.push(p); // save new async task | |
executing.add(p); // Save an executing asynchronous task | |
const clean = () => executing.delete(p); | |
p.then(clean).catch(clean); | |
if (executing.size >= concurrency) { | |
// Wait for faster task execution to complete | |
await Promise.race(executing); | |
} | |
} | |
return Promise.all(ret); | |
} | |
async function download({ url, chunkSize, poolLimit = 1 }) { | |
const contentLength = await getContentLength(url); | |
const chunks = | |
typeof chunkSize === "number" ? Math.ceil(contentLength / chunkSize) : 1; | |
const results = await asyncPool( | |
poolLimit, | |
[...new Array(chunks).keys()], | |
(i) => { | |
let start = i * chunkSize; | |
let end = i + 1 == chunks ? contentLength - 1 : (i + 1) * chunkSize - 1; | |
return getBinaryContent(url, start, end, i); | |
} | |
); | |
const sortedBuffers = results | |
.map((item) => new Uint8Array(item.buffer)); | |
return concatenate(sortedBuffers); | |
} |
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