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How to get the compression ratio for a GZipped file?


How to get the compression ratio for a GZipped file?

By : Mahavar Hitesh
Date : January 10 2021, 01:47 PM
Any of those help Sorry to sound harsh, but this approach is totally wrong. First, you don't want to do this in a JSP file due to at least two reasons: 1) raw Java code (scriptlets) belongs in real Java classes and 2) JSP is for character data, not for binary data, it would only corrupt the data. Second, any decent appserver provides a configuration option whether to automatically GZIP the response or not. In for example Tomcat 6.0, you can just extend the element in /conf/server.xml with a compression attribute which is set to "on":
code :


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Lossless compression theory, is compression ratio based on size of pattern and times repeated?

Lossless compression theory, is compression ratio based on size of pattern and times repeated?


By : Chris Parsons
Date : March 29 2020, 07:55 AM
it helps some times Those are all sequences that would be very unlikely to be seen in the wild. What is the point of the question?
Run-of-the-mill compressors are byte-oriented. As such, any pattern that results in simply the same byte repeated will give the highest compression ratio. E.g. 1032:1 in the limit for deflate. Other simple repetitions of short patterns will get very high compression ratios. E.g. again 1032:1 for deflate for patterns of two or three repeating bytes.
Compression algorithm for files smaller than 10MB with largest compression ratio

Compression algorithm for files smaller than 10MB with largest compression ratio


By : Marie
Date : March 29 2020, 07:55 AM
it should still fix some issue I have taken a look at LZMA and PAQ8. LZMA is a popular algorithm with a really decent compression ratio on specific settings. It is used by 7zip and its Java and C libraries are readily accessible.
PAQ8 on the other hand, outperforms LZMA on most benchmarks that I have read (especially on http://www.maximumcompression.com) at the expense of CPU and memory. I feel like PAQ8 suits my needs more but it seems like it is still under development stages and is unstable (plus I can't find their sources so that I can implement it on C or Java)
How to find the Compression ratio of a file using Huffman coding

How to find the Compression ratio of a file using Huffman coding


By : Mei
Date : March 29 2020, 07:55 AM
I wish this helpful for you I have compressed a binary file using Huffman encoding. Now i am trying to find the compression efficiency. , Given your symbol table:
code :
symbol : 0 Code : 1
symbol : 1 Code : 00
symbol : 2 Code : 011
symbol : 3 Code : 010
symbol :0 freq : 173
symbol :1 freq : 50
symbol :2 freq : 48
symbol :3 freq : 45 
(1 * 173) + (2 * 50) + (3 * 48) + (3 * 45)
Get GZIPped file attributes (like 'gzip -l', basically compression ratio)

Get GZIPped file attributes (like 'gzip -l', basically compression ratio)


By : user2988270
Date : March 29 2020, 07:55 AM
it should still fix some issue According to the GZIP spec RFC 1952 the last 4 bytes of a GZIP block is the uncompressed size of the data. This value is stored in little endian. Most gzipped files are only 1 block so that would be the last 4 bytes of a file.
For example, I just gzipped a file whose uncompressed size was 29963246 bytes. The last 4 bytes in the gzip file are
code :
File f = ...
try(RandomAccessFile ra =new RandomAccessFile(f, "r");
    FileChannel channel = ra.getChannel()){

        MappedByteBuffer fileBuffer = channel.map(MapMode.READ_ONLY, f.length()-4, 4);
        fileBuffer.load();

        ByteBuffer buf = ByteBuffer.allocate(4);
        buf.order(ByteOrder.LITTLE_ENDIAN);


        buf.put(fileBuffer);
        buf.flip();
        //will print the uncompressed size
        //getInt() reads the 4 bytes as a int
        // if the file is between 2GB and 4GB
        // then this will return a negative value
        //and you'll have to do your own converting to an unsigned int
        System.out.println(buf.getInt());
    }
Choosing compression algorithm with highest compression ratio

Choosing compression algorithm with highest compression ratio


By : vifrim
Date : March 29 2020, 07:55 AM
wish help you to fix your issue I've a lot of float numbers. But because there are only 256 unique values I can encode each number as 1 byte. It gives a huge compression ratio. After that I can run some general purpose algorithm for further data compression. I've checked several popular algorithms: gzip, Brotli, bzip2, lzma, Zstandard.
I've found that 2 options suit my needs:
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