SharpZipLib库使用高级压缩和有效时间压缩带有子文件夹的文件夹 [英] SharpZipLib library Compress a folder with subfolders with high level compresion and efficient time
本文介绍了SharpZipLib库使用高级压缩和有效时间压缩带有子文件夹的文件夹的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我使用了许多现有代码,并且尝试以多种方式压缩文件夹,但是我仍然在时间和文件夹大小(仍然大致相同)方面遇到问题。
,此代码来自库的源代码,仍然没有给出所需的结果
I used many existing codes and I tried to zip the folder in many ways but still I am having problem with time and folder size (still approx same size). this code is from the source of the library and still not giving the wanted result
static void Main(string[] args)
{
//copyDirectory(@"C:\x", @"D:\1");
ZipOutputStream zip = new ZipOutputStream(File.Create(@"d:\2.zip"));
zip.SetLevel(9);
string folder = @"D:\music";
ZipFolder(folder, folder, zip);
zip.Finish();
zip.Close();
}
public static void ZipFolder(string RootFolder, string CurrentFolder, ZipOutputStream zStream)
{
string[] SubFolders = Directory.GetDirectories(CurrentFolder);
foreach (string Folder in SubFolders)
ZipFolder(RootFolder, Folder, zStream);
string relativePath = CurrentFolder.Substring(RootFolder.Length) + "/";
if (relativePath.Length > 1)
{
ZipEntry dirEntry;
dirEntry = new ZipEntry(relativePath);
dirEntry.DateTime = DateTime.Now;
}
foreach (string file in Directory.GetFiles(CurrentFolder))
{
AddFileToZip(zStream, relativePath, file);
}
}
private static void AddFileToZip(ZipOutputStream zStream, string relativePath, string file)
{
byte[] buffer = new byte[4096];
string fileRelativePath = (relativePath.Length > 1 ? relativePath : string.Empty) + Path.GetFileName(file);
ZipEntry entry = new ZipEntry(fileRelativePath);
entry.DateTime = DateTime.Now;
zStream.PutNextEntry(entry);
using (FileStream fs = File.OpenRead(file))
{
int sourceBytes;
do
{
sourceBytes = fs.Read(buffer, 0, buffer.Length);
zStream.Write(buffer, 0, sourceBytes);
} while (sourceBytes > 0);
}
}
推荐答案
字符串文件夹= @ D:\音乐;
string folder = @"D:\music";
如果您要压缩MP3文件您不会看到太多收缩。
If you're trying to zip MP3 files you're not going to see much shrinking.
无论如何压缩算法都存在限制。而更多的压缩总是需要更多的时间。
There are limits to how much a compression algorithm can do anyway. And more compression always takes more time.
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