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How do I get it to recognize the Data files so that I can recover them I've had to use Par2 before and it worked properly. Using the same procedure as last time - it puzzles me - that it can't find the data files.
Since QuickPar reports that ALL files are missing, the only conclusion I can reach is that the PAR2 files you are using do not actually correspond in any way to the RAR files you are trying to verify and repair.
I have the same problem...after double clicking on the par2 file what I do is click on the 'clear' button and then 'open', select the par2 file for the files I'm trying to check/recover click the 'open' button, and now quickpar will see all the files, and go to work.
*Precaution When Using a USB ConnectionDisconnect the USB cable that connects the device and computer before installing the driver.Connect the USB cable after installing the driver.Driver and application software files have been compressed.The following instructions show you how to download the compressed files and decompress them.1. To download files, click the file link, select [Save], and specify the directory where you want to save the file.The download will start automatically.2. Downloaded files are saved in the specified folder in a self-extracting format (.exe format).3. Double-click the files to decompress them. A new folder will be created in the same folder.The new folder will have the same name as the compressed file.4. Double-click the decompressed Setup.exe file to start installation.
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File compression is an important part of digital storage management. Computers and especially mobile devices have limited storage. Being able to compress files to make them smaller is a good way to free up some much-needed storage space. Furthermore, many email applications limit the size of a file that can be added as an attachment. Compressing a file before adding it as an attachment may allow you to send a file that would normally be too large to send. However, there is a limit to how much a file can be compressed, and compressing a file often reduces the quality of the file. This wikiHow article discusses how to compress files, and the limitations of file compression.
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The main objective of the Locky malware is to encrypt certain system files and network drives to coerce the affected user into paying a ransom to recover them. It renames all encrypted document as hash.locky files.
Locky downloads a .TXT file with the instructions for paying the ransom, saves it to the registry (HKEY_CURRENT_USER\\Software\\Locky\\paytext), and creates a file named __Locky_recover_instructions.txt in every folder which contains an encrypted file. Then, when it is done encrypting the hard disk, it uses the ShellExecuteA API function to open the .TXT file.
Locky checks every file on the system, targeting those files whose extension coincides with the list of extensions included in its code. Those files are encrypted with AES encryption and renamed as hash.locky files.
All the test cases in this post are flawed as they access the same file for each method tested. So disk caching kicks in which tests 2 and 3 benefit from. To prove my point I took test case provided by GHAD and changed the order of enumeration and below are the results.
When I modify your code to use a file accessed by an absolute path instead of a resource, I get a different result (for 1 run, 1 iteration, and a 100,000 byte file -- times for a 10 byte file are identical to 100,000 bytes)
In response to rgrig's benchmark, the time taken to open/close the FileChannel & RandomAccessFile instances also needs to be taken into account, as these classes will open a stream for reading the file.
If all you need is the file size, file.length() is the fastest way to do it. If you plan to use the file for other purposes like reading/writing, then RAF seems to be a better bet. Just don't forget to close the file connection :-)
I ran into this same issue. I needed to get the file size and modified date of 90,000 files on a network share. Using Java, and being as minimalistic as possible, it would take a very long time. (I needed to get the URL from the file, and the path of the object as well. So its varied somewhat, but more than an hour.) I then used a native Win32 executable, and did the same task, just dumping the file path, modified, and size to the console, and executed that from Java. The speed was amazing. The native process, and my string handling to read the data could process over 1000 items a second.
Java File handling on Windows is terrible. Local disk access for files is fine though. It was just network shares that caused the terrible performance. Windows could get info on the network share and calculate the total size in under a minute too.
When I iterate recursively through this in Java, it takes me over 5 minutes. I started measuring the time it takes to do file.length(), file.lastModified(), and file.toURI() and what I found is that 99% of my time is taken by those 3 calls. The 3 calls I actually need to do...
As a more complete test, I used WineMerge on XP to compare the modified date, and size of the files on the server versus the files locally. This was iterating over the entire directory tree of 33,000 files in each folder. Total time, 7 seconds. java: over 5 minutes.
So the original statement and question from the OP is true, and valid. Its less noticeable when dealing with a local file system. Doing a local compare of the folder with 33,000 items takes 3 seconds in WinMerge, and takes 32 seconds locally in Java. So again, java versus native is a 10x slowdown in these rudimentary tests. 59ce067264