How to Maximize Compression - pete4abw/lrzip-next GitHub Wiki

Maximizing Compression

Normally, using level 9 compression will yield the best results regardless of compression method. Sometimes, with text files, results may differ among levels, but that cannot be anticipated. ZPAQ will notmally provide the best compression at level 9, but will be slow. With binary files, using one of the binary filters -- x86, arm, etc. which use Branch Call Jump analysis to improve compression, will improve results

However, one setting above all can really improve results. That is -p1 which will inhibit multi-threading and allow the largest possible block size to be compressed. Using -p1 for decompression is not beneficial and will only slow things down. Text file compression was far more influenced by -p1.

Here are some results.

Text Files

Target file: enwik8 100,000,000 bytes
Level: 9
File type: Text

Method	Compressed Size	Time to Compress	p1 Compressed Size	p1 Time to Compress	p1 Compress %	p1 Time %
bzip2	28,796,694	5.230	28,738,621	10.100	0.202%	-93.117%
bzip3	22,417,476	7.130	21,107,931	14.000	5.842%	-96.353%
gzip	35,723,370	4.910	35,714,597	9.210	0.025%	-87.576%
lzo	39,797,973	5.710	39,785,060	14.160	0.032%	-147.986%
lzma	25,118,871	53.450	25,118,871	53.870	0.000%	-0.786%
zpaq	20,332,905	129.080	19,563,012	190.590	3.786%	-47.653%
zstd	27,794,089	15.730	25,663,122	68.320	7.667%	-334.329%

zpaq had the best compression overall, followed by bzip3. zstd had the greatest compression benefit using -p1, but it also paid the greatest time penalty in percent, 334% more than 4x longer! bzip3 had the next best benefit, followed by zpaq. For thie file, bzip3 and zstd had the fastest and best compression combination.

Binary Files

Target File: bin.tar 100,000,000 bytes
Level: 9 using --x86 filter
File Type: x86 Binary

Method	Compressed Size	Time to Compress	p1 Compressed Size	p1 Time to Compress	p1 Compress %	p1 Time %
bzip2	30,357,383	4.510	30,352,255	10.100	0.017%	-123.947%
bzip3	27,643,957	6.470	27,644,451	14.000	-0.002%	-116.383%
gzip	31,802,035	5.750	31,809,266	9.210	-0.023%	-60.174%
lzo	34,800,547	6.390	34,807,911	14.160	-0.023%	-60.174%
lzma	23,973,472	22.340	23,973,472	53.870	0.000%	-141.137%
zpaq	20,639,397	110.910	20,260,994	190.590	1.833%	-71.842%
zstd	26,436,347	9.950	25,833,383	68.320	2.281%	-586.633%

Here, with the exception of zpaq and zstd there is little benefit with a binary/random file when using -p1. From a time perspective, there is a significant time penalty for around a 2% compression benefit.