在线直播系统源码，前后端大文件上传代码分析
前端代码：
<template>
<div>
<div @click.native="hanldeClick" class="upload_container">
<input name="请上传文件" type="file" ref="uploadRef" @change="handleChange" :multiple="multiple" :accept="accept"/>
</div>
<div ref="uploadSubmit" @click="handleUpload()">上传</div>
<div><span ref="uploadResultRef"></span></div>
<div>md5Value:{{fileSparkMD5}}</div>
</div>
</template>
<script setup>
import { ref,onMounted } from 'vue'
import { ElMessage, } from 'element-plus'
import SparkMD5 from 'spark-md5';
import { makePostRequest } from './axios.js';
defineProps({
multiple:{
type:Boolean,
default:true
},
accept:{
type:Array,
default:[]
}
})
const uploadRef = ref(); // input 的ref
const uploadResultRef = ref(null); //上传结果展示
const fileSparkMD5 = ref([]); // 文件MD5 唯一标识
const fileChuncks = ref([]); // 文件分片list
const chunckSize = ref(1*1024*1024); // 分片大小
const promiseArr = []; // 分片上传promise集合
const isUploadChuncks = ref([]); // 返回 [1,1,1,0,0,1] 格式数组(这里需要服务端返回的值是按照索引正序排列),标识对应下标上传状态 已上传：1 ，未上传：0
const uploadProgress = ref(0); // 上传进度
const uploadQuantity = ref(0); // 总上传数量
//检测文件是否上传过，
const checkFile = async (md5) => {
const data = await makePostRequest('http://127.0.0.1:3000/checkChuncks', {md5});
if (data.length === 0) {
return false;
}
const {file_hash:fileHash,chunck_total_number:chunckTotal} = data[0]; // 文件的信息，hash值，分片总数，每条分片都是一致的内容
if(fileHash === md5) {
const allChunckStatusList = new Array(Number(chunckTotal)).fill(0); // 文件所有分片状态list,默认都填充为0（0: 未上传，1：已上传）
const chunckNumberArr = data.map(item => item.chunck_number); // 遍历已上传的分片，获取已上传分片对应的索引 (chunck_number为每个文件分片的索引)
chunckNumberArr.forEach((item,index) => { // 遍历已上传分片的索引，将对应索引赋值为1，代表已上传的分片 （注意这里，服务端返回的值是按照索引正序排列）
allChunckStatusList[item] = 1
});
isUploadChuncks.value = [...allChunckStatusList];
return true; // 返回是否上传过，为下面的秒传，断点续传做铺垫
}else {
return false;
}
}
//文件上传function
const handleUpload = async () => {
const fileInput = uploadRef.value;
const file = fileInput.files[0];
// 未选择文件
if (!file) {
ElMessage({message:'请选择文件',type:'warning'});
return
}
//循环计算文件MD5，多文件上传时候
const fileArr = fileInput.files;
for(let i = 0; i < fileArr.length; i++){
const data = await getFileMD5(fileArr[i]);
fileSparkMD5.value.push({md5Value:data,fileKey:fileArr[i].name});
sliceFile(fileArr[i]);
}
//检测文件是否已上传过
const {md5Value} = fileSparkMD5.value[0]; // 这里已单文件做示例，默认取第一个文件
const isFlag = await checkFile(md5Value); //是否上传过
if(isFlag) {
const hasEmptyChunk = isUploadChuncks.value.findIndex(item => item === 0); //在所有的分片状态中找到未上传的分片，如果没有表示已完整上传
//上传过,并且已经完整上传，直接提示上传成功（秒传）
if(hasEmptyChunk === -1) {
ElMessage({message:'上传成功',type:'success'});
return;
}else {
//上传缺失的分片文件,注意这里的索引,就是文件上传的序号
for(let k = 0; k < isUploadChuncks.value.length; k++) {
if(isUploadChuncks.value[k] !== 1) {
const {md5Value,fileKey} = fileSparkMD5.value[0]; //单文件处理，多文件需要遍历匹配对应的文件
let data = new FormData();
data.append('totalNumber',fileChuncks.value.length); // 分片总数
data.append("chunkSize",chunckSize.value); // 分片大小
data.append("chunckNumber",k); // 分片序号
data.append('md5',md5Value); // 文件唯一标识
data.append('name',fileKey); // 文件名称
data.append('file',new File([fileChuncks.value[k].fileChuncks],fileKey)) //分片文件
httpRequest(data,k,fileChuncks.value.length);
}
}
}
}else {
//未上传，执行完整上传逻辑
fileChuncks.value.forEach((e, i)=>{
const {md5Value,fileKey} = fileSparkMD5.value.find(item => item.fileKey === e.fileName);
let data = new FormData();
data.append('totalNumber',fileChuncks.value.length);
data.append("chunkSize",chunckSize.value);
data.append("chunckNumber",i);
data.append('md5',md5Value); //文件唯一标识
data.append('name',fileKey);
data.append('file',new File([e.fileChuncks],fileKey))
httpRequest(data,i,fileChuncks.value.length);
})
}
let uploadResult = uploadResultRef.value;
Promise.all(promiseArr).then((e)=>{
uploadResult.innerHTML = '上传成功';
// pormise all 机制，所有上传完毕，执行正常回调，开启合并文件操作
mergeFile(fileSparkMD5.value,fileChuncks.value.length);
}).catch(e=>{
ElMessage({message:'文件未上传完整，请继续上传',type:'error'});
uploadResult.innerHTML = '上传失败';
})
}
//file：文件内容，nowChunck:当前切片的排序，totalChunck:总的切片数量
const httpRequest = (file,nowChunck,totalChunck) => {
const curPormise = new Promise((resolve,reject)=>{
let uploadResult = uploadResultRef.value;
let xhr = new XMLHttpRequest();
// 当上传完成时调用
xhr.onload = function() {
if (xhr.status === 200) {
// uploadResult.innerHTML = '上传成功'+ xhr.responseText;
//大文件上传进度
uploadQuantity.value ++;
// 注意这里，因为是分片，所以进度除以总数就是当前上传的进度
uploadProgress.value = uploadQuantity.value / totalChunck * 100;
uploadResult.innerHTML='上传进度：' + uploadProgress.value + '%';
return resolve(nowChunck)
}
}
xhr.onerror = function(e) {
return reject(e)
}
// 发送请求
xhr.open('POST', 'http://127.0.0.1:3000/upload', true);
xhr.send(file);
})
// 将所有请求推入pormise集合中
promiseArr.push(curPormise);
}
//获取文件MD5，注意这里谷歌浏览器有最大文件限制当文件大于2G时浏览器无法读取文件
const getFileMD5 = (file) => {
return new Promise((resolve, reject) => {
const fileReader = new FileReader();
fileReader.onload = (e) =>{
const fileMd5 = SparkMD5.ArrayBuffer.hash(e.target.result)
resolve(fileMd5)
}
fileReader.onerror = (e) =>{
reject('文件读取失败',e)
}
fileReader.readAsArrayBuffer(file);
})
}
//文件切片
const sliceFile = (file) => {
//文件分片之后的集合
const chuncks = [];
let start = 0 ;
let end;
while(start < file.size) {
end = Math.min(start + chunckSize.value,file.size);
//slice 截取文件字节
chuncks.push({fileChuncks:file.slice(start,end),fileName:file.name});
start = end;
}
fileChuncks.value = [...chuncks];
}
//合并文件
const mergeFile = async (fileInfo,chunckTotal) => {
const { md5Value,fileKey } = fileInfo[0];
const params = {
totalNumber:chunckTotal,
md5:md5Value,
name:fileKey
}
const response = await makePostRequest('http://127.0.0.1:3000/merge', params);
ElMessage({message:'上传成功',type:'success'});
}
</script>
服务端代码：
这里用node.js 代替java在本地模拟一个服务端。下面是node的所需依赖
"dependencies": {
"fs-extra": "^11.2.0",
"koa": "^2.14.2",
"koa-body": "^6.0.1",
"koa-multer": "^1.0.2",
"koa-router": "^12.0.0",
"koa-static": "^5.0.0",
"koa2-cors": "^2.0.6",
"mysql": "^2.18.1",
"nodemon": "^2.0.22"
}
const insertFile = async (md5,name,totalNumber,chunkSize,chunckNumber) => {
const sql = `INSERT INTO fileupload.chunck_list (file_hash,chunck_number,chunck_size,chunck_total_number,file_name) VALUES ('${md5}','${chunckNumber}','${chunkSize}','${totalNumber}','${name}')`;
const result = await connection.query(sql);
console.log(result + '数据插入成功')
}
router.post("/upload",upload.single("file"), async (ctx, next) => {
const {
totalNumber, // 分片总数
chunckNumber, // 分片序号
chunkSize, // 分片大小
md5, // 文件hash值（唯一）
name // 文件名称
} = ctx.req.body;
//指定hash文件路径
const chunckPath = path.join(uploadPath, md5,'/');
if(!fs.existsSync(chunckPath)){
fs.mkdirSync(chunckPath);
}
//移动文件到指定目录
fs.renameSync(ctx.req.file.path,chunckPath + md5 + '-' + chunckNumber);
insertFile(md5,name,totalNumber,chunkSize,chunckNumber)
ctx.status = 200;
ctx.res.end('Success');
})
router.post("/merge", async (ctx, next) => {
const {totalNumber,md5,name} = ctx.request.body;
try {
//分片存储得文件夹路径
const chunckPath = path.join(uploadPath, md5, '/');
//创建合并后的文件
console.log(name+'我是视频地址')
const filePath = path.join(uploadPath, name);
//读取对应hash文件夹下的所有分片文件名称
const chunckList = fs.existsSync(chunckPath) ? fs.readdirSync(chunckPath) : [];
console.log(chunckList+'我是视频地址')
//创建储存文件
fs.writeFileSync(filePath,'');
//判断切片是否完整
console.log(chunckList.length,totalNumber,'我是总地址，和分片地址')
if(chunckList.length !== totalNumber){
ctx.status = 500;
ctx.message = 'Merge failed, missing file slices';
// ctx.res.end('error');
process.exit();
}
for(let i = 0; i < totalNumber; i++){
const chunck = fs.readFileSync(chunckPath +md5+ '-' + i);
//写入当前切片
fs.appendFileSync(filePath,chunck);
//删除已合并的切片
fs.unlinkSync(chunckPath + md5 + '-' + i);
}
//删除空文件夹
fs.rmdirSync(chunckPath);
ctx.status = 200;
ctx.message = 'success';
}catch (e) {
ctx.status = 500;
ctx.res.end('合并失败');
}
})
router.post("/checkChuncks", async (ctx, next) => {
try {
const {md5} = ctx.request.body;
const queryResult = await new Promise((resolve,reject)=>{
const query = `SELECT (SELECT count(*) FROM chunck_list WHERE file_hash = '${md5}') as all_count, id as chunck_id,file_hash,chunck_number,chunck_total_number FROM chunck_list WHERE file_hash = '${md5}' GROUP BY id ORDER BY chunck_number`;
connection.query(query,async (error,results,fields)=>{
if(error) reject(error);
resolve(results || []);
});
})
ctx.status = 200;
ctx.body = queryResult;
}catch (e) {
ctx.status = 500;
ctx.res.end('error');
}
})
自此服务端代码完结，这里只是一个简单的demo,接口缺乏严谨性，小伙伴可以自行完善！
以上就是在线直播系统源码，前后端大文件上传代码分析， 更多内容欢迎关注之后的文章
标签：文件,const,端大,value,源码,file,分片,上传 From： https://www.cnblogs.com/yunbaomengnan/p/18132487