一、背景
android 中的大文件下载需要使用分段下载,下载通常是在线程中进行的,假如有5段,那同时5个线程去执行下载,请求http返回文件流后,需要将多个文件流同时写进同一个文件,这里用到
randomaccessfile
分段上传的话,只需要根据每段文件阀值,例如,50m为一段,将文件按照设置的阀值,分段上传即可
二、相关代码
2.1 分段上传关键代码
忽略网络请求和状态码,每个人接口定义的的请求参数和返回code不一样
private val default_block_size: long = 50 * 1024 * 1024 //50mb val blocksize=default_block_size val randomaccessfile = randomaccessfile(filepath, "r") val filelen = randomaccessfile.length() //超过设定的单个文件大小,需要分块上传 val blockfilenum = math.ceil((filelen / blocksize.todouble())).toint() xlogutil.d("${tag}blockfilenum:$blockfilenum,,,,filelen:$filelen,,,blocksize:$blocksize,,,requestid:$requestid") var offset = 0l var successnum = 0 var issendresult = true for (i in 0 until blockfilenum) { val startoffset = i * blocksize val blockfilelen = math.min(blocksize, filelen - startoffset) val filedata = getfiledata(filepath, offset, blockfilelen.toint()) // 创建文件名请求体 val requestbody = requestbody.create(null, filedata) val call = retrofitclient.getuploadfileservice( token, requestid, offset.tostring(), uploadtype ).uploadfile(file.name, requestbody) xlogutil.d("${tag}upload 第${i + 1}块 block file,offset:$offset,,,blockfilelen:$blockfilelen,,,blockfilenum:$blockfilenum,,,filelen:$filelen,,,filepath:$filepath,,,filedata size:${filedata?.size},,,requestid:$requestid") offset += blockfilelen call.enqueue(object : callback<responsebody?> { override fun onresponse( call: call<responsebody?>, response: response<responsebody?> ) { val code = response.code() xlogutil.d("${tag}upload 第${i + 1}块 block file result code:$code,,,requestid:$requestid") if (code == 201) { //处理成功响应 successnum++ if (successnum == blockfilenum) { xlogutil.d("${tag}upload all block file success,blockfilenum:$blockfilenum,,,requestid:$requestid") listener?.apply { onsuccess(constant.success, requestid) } //上传完 } } else { //处理失败响应 } } override fun onfailure(call: call<responsebody?>, t: throwable) { // 处理请求失败 xlogutil.d("${tag}upload 第${i + 1}块 block file onfailure message:${t.printstacktrace()}") } }) } /** * 根据偏移量获取分块文件数据 */ fun getfiledata(filepath: string, offset: long, length: int): bytearray? { // 使用randomaccessfile随机访问文件 var randomaccessfile: randomaccessfile? = null try { randomaccessfile = randomaccessfile(filepath, "r") val filechannel = randomaccessfile.channel // 将文件的部分区域映射为内存区域 val mappedbytebuffer = filechannel.map(filechannel.mapmode.read_only, offset, length.tolong()) val data = bytearray(length) // 从映射区域中读取数据 mappedbytebuffer[data] return data } catch (e: exception) { e.printstacktrace() return null } finally { if (randomaccessfile != null) { try { randomaccessfile.close() } catch (e: exception) { e.printstacktrace() } } } }
2.2、分段下载关键代码
val folder = file(download_folder_path) if (!folder.exists()) { folder.mkdirs() } val filename = getfilenamewithpath(filepath) val downfile = file(download_folder_path + file.separator + filename) if (!downfile.exists()) { downfile.createnewfile() } // 使用输入流保存响应体到文件,这里通常是通过http请求,返回的文件流,替换即可 val inputstream = body.bytestream() val rw = randomaccessfile(downfile, "rw") rw.seek(startposition)//文件写入的初始位置 var hasreads = 0 var readlenght: long = 0 val bytes = bytearray(4096) while ((inputstream.read(bytes).also { hasreads = it }) > 0) { rw.write(bytes, 0, hasreads) readlenght += hasreads // val l = (readlenght * 100 / contentlength) as int 单块文件写入进度 } // 关闭文件输出流和输入流 inputstream.close() rw.close() /** * 根据文件路径获取文件名 */ fun getfilenamewithpath(path: string): string { if (textutils.isempty(path)) { return "" } val start = path.lastindexof("/") return if (start != -1) { path.substring(start + 1) } else { "default_name" } }
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