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Text file src/github.com/klauspost/compress/zstd/README.md

Documentation: github.com/klauspost/compress/zstd

     1# zstd 
     2
     3[Zstandard](https://facebook.github.io/zstd/) is a real-time compression algorithm, providing high compression ratios. 
     4It offers a very wide range of compression / speed trade-off, while being backed by a very fast decoder.
     5A high performance compression algorithm is implemented. For now focused on speed. 
     6
     7This package provides [compression](#Compressor) to and [decompression](#Decompressor) of Zstandard content. 
     8
     9This package is pure Go and without use of "unsafe". 
    10
    11The `zstd` package is provided as open source software using a Go standard license.
    12
    13Currently the package is heavily optimized for 64 bit processors and will be significantly slower on 32 bit processors.
    14
    15For seekable zstd streams, see [this excellent package](https://github.com/SaveTheRbtz/zstd-seekable-format-go).
    16
    17## Installation
    18
    19Install using `go get -u github.com/klauspost/compress`. The package is located in `github.com/klauspost/compress/zstd`.
    20
    21[![Go Reference](https://pkg.go.dev/badge/github.com/klauspost/compress/zstd.svg)](https://pkg.go.dev/github.com/klauspost/compress/zstd)
    22
    23## Compressor
    24
    25### Status: 
    26
    27STABLE - there may always be subtle bugs, a wide variety of content has been tested and the library is actively 
    28used by several projects. This library is being [fuzz-tested](https://github.com/klauspost/compress-fuzz) for all updates.
    29
    30There may still be specific combinations of data types/size/settings that could lead to edge cases, 
    31so as always, testing is recommended.  
    32
    33For now, a high speed (fastest) and medium-fast (default) compressor has been implemented. 
    34
    35* The "Fastest" compression ratio is roughly equivalent to zstd level 1. 
    36* The "Default" compression ratio is roughly equivalent to zstd level 3 (default).
    37* The "Better" compression ratio is roughly equivalent to zstd level 7.
    38* The "Best" compression ratio is roughly equivalent to zstd level 11.
    39
    40In terms of speed, it is typically 2x as fast as the stdlib deflate/gzip in its fastest mode. 
    41The compression ratio compared to stdlib is around level 3, but usually 3x as fast.
    42
    43 
    44### Usage
    45
    46An Encoder can be used for either compressing a stream via the
    47`io.WriteCloser` interface supported by the Encoder or as multiple independent
    48tasks via the `EncodeAll` function.
    49Smaller encodes are encouraged to use the EncodeAll function.
    50Use `NewWriter` to create a new instance that can be used for both.
    51
    52To create a writer with default options, do like this:
    53
    54```Go
    55// Compress input to output.
    56func Compress(in io.Reader, out io.Writer) error {
    57    enc, err := zstd.NewWriter(out)
    58    if err != nil {
    59        return err
    60    }
    61    _, err = io.Copy(enc, in)
    62    if err != nil {
    63        enc.Close()
    64        return err
    65    }
    66    return enc.Close()
    67}
    68```
    69
    70Now you can encode by writing data to `enc`. The output will be finished writing when `Close()` is called.
    71Even if your encode fails, you should still call `Close()` to release any resources that may be held up.  
    72
    73The above is fine for big encodes. However, whenever possible try to *reuse* the writer.
    74
    75To reuse the encoder, you can use the `Reset(io.Writer)` function to change to another output. 
    76This will allow the encoder to reuse all resources and avoid wasteful allocations. 
    77
    78Currently stream encoding has 'light' concurrency, meaning up to 2 goroutines can be working on part 
    79of a stream. This is independent of the `WithEncoderConcurrency(n)`, but that is likely to change 
    80in the future. So if you want to limit concurrency for future updates, specify the concurrency
    81you would like.
    82
    83If you would like stream encoding to be done without spawning async goroutines, use `WithEncoderConcurrency(1)`
    84which will compress input as each block is completed, blocking on writes until each has completed.
    85
    86You can specify your desired compression level using `WithEncoderLevel()` option. Currently only pre-defined 
    87compression settings can be specified.
    88
    89#### Future Compatibility Guarantees
    90
    91This will be an evolving project. When using this package it is important to note that both the compression efficiency and speed may change.
    92
    93The goal will be to keep the default efficiency at the default zstd (level 3). 
    94However the encoding should never be assumed to remain the same, 
    95and you should not use hashes of compressed output for similarity checks.
    96
    97The Encoder can be assumed to produce the same output from the exact same code version.
    98However, the may be modes in the future that break this, 
    99although they will not be enabled without an explicit option.   
   100
   101This encoder is not designed to (and will probably never) output the exact same bitstream as the reference encoder.
   102
   103Also note, that the cgo decompressor currently does not [report all errors on invalid input](https://github.com/DataDog/zstd/issues/59),
   104[omits error checks](https://github.com/DataDog/zstd/issues/61), [ignores checksums](https://github.com/DataDog/zstd/issues/43) 
   105and seems to ignore concatenated streams, even though [it is part of the spec](https://github.com/facebook/zstd/blob/dev/doc/zstd_compression_format.md#frames).
   106
   107#### Blocks
   108
   109For compressing small blocks, the returned encoder has a function called `EncodeAll(src, dst []byte) []byte`.
   110
   111`EncodeAll` will encode all input in src and append it to dst.
   112This function can be called concurrently. 
   113Each call will only run on a same goroutine as the caller.
   114
   115Encoded blocks can be concatenated and the result will be the combined input stream.
   116Data compressed with EncodeAll can be decoded with the Decoder, using either a stream or `DecodeAll`.
   117
   118Especially when encoding blocks you should take special care to reuse the encoder. 
   119This will effectively make it run without allocations after a warmup period. 
   120To make it run completely without allocations, supply a destination buffer with space for all content.   
   121
   122```Go
   123import "github.com/klauspost/compress/zstd"
   124
   125// Create a writer that caches compressors.
   126// For this operation type we supply a nil Reader.
   127var encoder, _ = zstd.NewWriter(nil)
   128
   129// Compress a buffer. 
   130// If you have a destination buffer, the allocation in the call can also be eliminated.
   131func Compress(src []byte) []byte {
   132    return encoder.EncodeAll(src, make([]byte, 0, len(src)))
   133} 
   134```
   135
   136You can control the maximum number of concurrent encodes using the `WithEncoderConcurrency(n)` 
   137option when creating the writer.
   138
   139Using the Encoder for both a stream and individual blocks concurrently is safe. 
   140
   141### Performance
   142
   143I have collected some speed examples to compare speed and compression against other compressors.
   144
   145* `file` is the input file.
   146* `out` is the compressor used. `zskp` is this package. `zstd` is the Datadog cgo library. `gzstd/gzkp` is gzip standard and this library.
   147* `level` is the compression level used. For `zskp` level 1 is "fastest", level 2 is "default"; 3 is "better", 4 is "best".
   148* `insize`/`outsize` is the input/output size.
   149* `millis` is the number of milliseconds used for compression.
   150* `mb/s` is megabytes (2^20 bytes) per second.
   151
   152```
   153Silesia Corpus:
   154http://sun.aei.polsl.pl/~sdeor/corpus/silesia.zip
   155
   156This package:
   157file    out     level   insize      outsize     millis  mb/s
   158silesia.tar zskp    1   211947520   73821326    634     318.47
   159silesia.tar zskp    2   211947520   67655404    1508    133.96
   160silesia.tar zskp    3   211947520   64746933    3000    67.37
   161silesia.tar zskp    4   211947520   60073508    16926   11.94
   162
   163cgo zstd:
   164silesia.tar zstd    1   211947520   73605392    543     371.56
   165silesia.tar zstd    3   211947520   66793289    864     233.68
   166silesia.tar zstd    6   211947520   62916450    1913    105.66
   167silesia.tar zstd    9   211947520   60212393    5063    39.92
   168
   169gzip, stdlib/this package:
   170silesia.tar gzstd   1   211947520   80007735    1498    134.87
   171silesia.tar gzkp    1   211947520   80088272    1009    200.31
   172
   173GOB stream of binary data. Highly compressible.
   174https://files.klauspost.com/compress/gob-stream.7z
   175
   176file        out     level   insize  outsize     millis  mb/s
   177gob-stream  zskp    1   1911399616  233948096   3230    564.34
   178gob-stream  zskp    2   1911399616  203997694   4997    364.73
   179gob-stream  zskp    3   1911399616  173526523   13435   135.68
   180gob-stream  zskp    4   1911399616  162195235   47559   38.33
   181
   182gob-stream  zstd    1   1911399616  249810424   2637    691.26
   183gob-stream  zstd    3   1911399616  208192146   3490    522.31
   184gob-stream  zstd    6   1911399616  193632038   6687    272.56
   185gob-stream  zstd    9   1911399616  177620386   16175   112.70
   186
   187gob-stream  gzstd   1   1911399616  357382013   9046    201.49
   188gob-stream  gzkp    1   1911399616  359136669   4885    373.08
   189
   190The test data for the Large Text Compression Benchmark is the first
   19110^9 bytes of the English Wikipedia dump on Mar. 3, 2006.
   192http://mattmahoney.net/dc/textdata.html
   193
   194file    out level   insize      outsize     millis  mb/s
   195enwik9  zskp    1   1000000000  343833605   3687    258.64
   196enwik9  zskp    2   1000000000  317001237   7672    124.29
   197enwik9  zskp    3   1000000000  291915823   15923   59.89
   198enwik9  zskp    4   1000000000  261710291   77697   12.27
   199
   200enwik9  zstd    1   1000000000  358072021   3110    306.65
   201enwik9  zstd    3   1000000000  313734672   4784    199.35
   202enwik9  zstd    6   1000000000  295138875   10290   92.68
   203enwik9  zstd    9   1000000000  278348700   28549   33.40
   204
   205enwik9  gzstd   1   1000000000  382578136   8608    110.78
   206enwik9  gzkp    1   1000000000  382781160   5628    169.45
   207
   208Highly compressible JSON file.
   209https://files.klauspost.com/compress/github-june-2days-2019.json.zst
   210
   211file                        out level   insize      outsize     millis  mb/s
   212github-june-2days-2019.json zskp    1   6273951764  697439532   9789    611.17
   213github-june-2days-2019.json zskp    2   6273951764  610876538   18553   322.49
   214github-june-2days-2019.json zskp    3   6273951764  517662858   44186   135.41
   215github-june-2days-2019.json zskp    4   6273951764  464617114   165373  36.18
   216
   217github-june-2days-2019.json zstd    1   6273951764  766284037   8450    708.00
   218github-june-2days-2019.json zstd    3   6273951764  661889476   10927   547.57
   219github-june-2days-2019.json zstd    6   6273951764  642756859   22996   260.18
   220github-june-2days-2019.json zstd    9   6273951764  601974523   52413   114.16
   221
   222github-june-2days-2019.json gzstd   1   6273951764  1164397768  26793   223.32
   223github-june-2days-2019.json gzkp    1   6273951764  1120631856  17693   338.16
   224
   225VM Image, Linux mint with a few installed applications:
   226https://files.klauspost.com/compress/rawstudio-mint14.7z
   227
   228file                    out level   insize      outsize     millis  mb/s
   229rawstudio-mint14.tar    zskp    1   8558382592  3718400221  18206   448.29
   230rawstudio-mint14.tar    zskp    2   8558382592  3326118337  37074   220.15
   231rawstudio-mint14.tar    zskp    3   8558382592  3163842361  87306   93.49
   232rawstudio-mint14.tar    zskp    4   8558382592  2970480650  783862  10.41
   233
   234rawstudio-mint14.tar    zstd    1   8558382592  3609250104  17136   476.27
   235rawstudio-mint14.tar    zstd    3   8558382592  3341679997  29262   278.92
   236rawstudio-mint14.tar    zstd    6   8558382592  3235846406  77904   104.77
   237rawstudio-mint14.tar    zstd    9   8558382592  3160778861  140946  57.91
   238
   239rawstudio-mint14.tar    gzstd   1   8558382592  3926234992  51345   158.96
   240rawstudio-mint14.tar    gzkp    1   8558382592  3960117298  36722   222.26
   241
   242CSV data:
   243https://files.klauspost.com/compress/nyc-taxi-data-10M.csv.zst
   244
   245file                    out level   insize      outsize     millis  mb/s
   246nyc-taxi-data-10M.csv   zskp    1   3325605752  641319332   9462    335.17
   247nyc-taxi-data-10M.csv   zskp    2   3325605752  588976126   17570   180.50
   248nyc-taxi-data-10M.csv   zskp    3   3325605752  529329260   32432   97.79
   249nyc-taxi-data-10M.csv   zskp    4   3325605752  474949772   138025  22.98
   250
   251nyc-taxi-data-10M.csv   zstd    1   3325605752  687399637   8233    385.18
   252nyc-taxi-data-10M.csv   zstd    3   3325605752  598514411   10065   315.07
   253nyc-taxi-data-10M.csv   zstd    6   3325605752  570522953   20038   158.27
   254nyc-taxi-data-10M.csv   zstd    9   3325605752  517554797   64565   49.12
   255
   256nyc-taxi-data-10M.csv   gzstd   1   3325605752  928654908   21270   149.11
   257nyc-taxi-data-10M.csv   gzkp    1   3325605752  922273214   13929   227.68
   258```
   259
   260## Decompressor
   261
   262Status: STABLE - there may still be subtle bugs, but a wide variety of content has been tested.
   263
   264This library is being continuously [fuzz-tested](https://github.com/klauspost/compress-fuzz),
   265kindly supplied by [fuzzit.dev](https://fuzzit.dev/). 
   266The main purpose of the fuzz testing is to ensure that it is not possible to crash the decoder, 
   267or run it past its limits with ANY input provided.  
   268 
   269### Usage
   270
   271The package has been designed for two main usages, big streams of data and smaller in-memory buffers. 
   272There are two main usages of the package for these. Both of them are accessed by creating a `Decoder`.
   273
   274For streaming use a simple setup could look like this:
   275
   276```Go
   277import "github.com/klauspost/compress/zstd"
   278
   279func Decompress(in io.Reader, out io.Writer) error {
   280    d, err := zstd.NewReader(in)
   281    if err != nil {
   282        return err
   283    }
   284    defer d.Close()
   285    
   286    // Copy content...
   287    _, err = io.Copy(out, d)
   288    return err
   289}
   290```
   291
   292It is important to use the "Close" function when you no longer need the Reader to stop running goroutines, 
   293when running with default settings.
   294Goroutines will exit once an error has been returned, including `io.EOF` at the end of a stream.
   295
   296Streams are decoded concurrently in 4 asynchronous stages to give the best possible throughput.
   297However, if you prefer synchronous decompression, use `WithDecoderConcurrency(1)` which will decompress data 
   298as it is being requested only.
   299
   300For decoding buffers, it could look something like this:
   301
   302```Go
   303import "github.com/klauspost/compress/zstd"
   304
   305// Create a reader that caches decompressors.
   306// For this operation type we supply a nil Reader.
   307var decoder, _ = zstd.NewReader(nil, zstd.WithDecoderConcurrency(0))
   308
   309// Decompress a buffer. We don't supply a destination buffer,
   310// so it will be allocated by the decoder.
   311func Decompress(src []byte) ([]byte, error) {
   312    return decoder.DecodeAll(src, nil)
   313} 
   314```
   315
   316Both of these cases should provide the functionality needed. 
   317The decoder can be used for *concurrent* decompression of multiple buffers.
   318By default 4 decompressors will be created. 
   319
   320It will only allow a certain number of concurrent operations to run. 
   321To tweak that yourself use the `WithDecoderConcurrency(n)` option when creating the decoder.
   322It is possible to use `WithDecoderConcurrency(0)` to create GOMAXPROCS decoders.
   323
   324### Dictionaries
   325
   326Data compressed with [dictionaries](https://github.com/facebook/zstd#the-case-for-small-data-compression) can be decompressed.
   327
   328Dictionaries are added individually to Decoders.
   329Dictionaries are generated by the `zstd --train` command and contains an initial state for the decoder.
   330To add a dictionary use the `WithDecoderDicts(dicts ...[]byte)` option with the dictionary data.
   331Several dictionaries can be added at once.
   332
   333The dictionary will be used automatically for the data that specifies them.
   334A re-used Decoder will still contain the dictionaries registered.
   335
   336When registering multiple dictionaries with the same ID, the last one will be used.
   337
   338It is possible to use dictionaries when compressing data.
   339
   340To enable a dictionary use `WithEncoderDict(dict []byte)`. Here only one dictionary will be used 
   341and it will likely be used even if it doesn't improve compression. 
   342
   343The used dictionary must be used to decompress the content.
   344
   345For any real gains, the dictionary should be built with similar data. 
   346If an unsuitable dictionary is used the output may be slightly larger than using no dictionary.
   347Use the [zstd commandline tool](https://github.com/facebook/zstd/releases) to build a dictionary from sample data.
   348For information see [zstd dictionary information](https://github.com/facebook/zstd#the-case-for-small-data-compression). 
   349
   350For now there is a fixed startup performance penalty for compressing content with dictionaries. 
   351This will likely be improved over time. Just be aware to test performance when implementing.  
   352
   353### Allocation-less operation
   354
   355The decoder has been designed to operate without allocations after a warmup. 
   356
   357This means that you should *store* the decoder for best performance. 
   358To re-use a stream decoder, use the `Reset(r io.Reader) error` to switch to another stream.
   359A decoder can safely be re-used even if the previous stream failed.
   360
   361To release the resources, you must call the `Close()` function on a decoder.
   362After this it can *no longer be reused*, but all running goroutines will be stopped.
   363So you *must* use this if you will no longer need the Reader.
   364
   365For decompressing smaller buffers a single decoder can be used.
   366When decoding buffers, you can supply a destination slice with length 0 and your expected capacity.
   367In this case no unneeded allocations should be made. 
   368
   369### Concurrency
   370
   371The buffer decoder does everything on the same goroutine and does nothing concurrently.
   372It can however decode several buffers concurrently. Use `WithDecoderConcurrency(n)` to limit that.
   373
   374The stream decoder will create goroutines that:
   375
   3761) Reads input and splits the input into blocks.
   3772) Decompression of literals.
   3783) Decompression of sequences.
   3794) Reconstruction of output stream.
   380
   381So effectively this also means the decoder will "read ahead" and prepare data to always be available for output.
   382
   383The concurrency level will, for streams, determine how many blocks ahead the compression will start.
   384
   385Since "blocks" are quite dependent on the output of the previous block stream decoding will only have limited concurrency.
   386
   387In practice this means that concurrency is often limited to utilizing about 3 cores effectively.
   388  
   389### Benchmarks
   390
   391The first two are streaming decodes and the last are smaller inputs. 
   392
   393Running on AMD Ryzen 9 3950X 16-Core Processor. AMD64 assembly used.
   394
   395```
   396BenchmarkDecoderSilesia-32    	                   5	 206878840 ns/op	1024.50 MB/s	   49808 B/op	      43 allocs/op
   397BenchmarkDecoderEnwik9-32                          1	1271809000 ns/op	 786.28 MB/s	   72048 B/op	      52 allocs/op
   398
   399Concurrent blocks, performance:
   400
   401BenchmarkDecoder_DecodeAllParallel/kppkn.gtb.zst-32         	   67356	     17857 ns/op	10321.96 MB/s	        22.48 pct	     102 B/op	       0 allocs/op
   402BenchmarkDecoder_DecodeAllParallel/geo.protodata.zst-32     	  266656	      4421 ns/op	26823.21 MB/s	        11.89 pct	      19 B/op	       0 allocs/op
   403BenchmarkDecoder_DecodeAllParallel/plrabn12.txt.zst-32      	   20992	     56842 ns/op	8477.17 MB/s	        39.90 pct	     754 B/op	       0 allocs/op
   404BenchmarkDecoder_DecodeAllParallel/lcet10.txt.zst-32        	   27456	     43932 ns/op	9714.01 MB/s	        33.27 pct	     524 B/op	       0 allocs/op
   405BenchmarkDecoder_DecodeAllParallel/asyoulik.txt.zst-32      	   78432	     15047 ns/op	8319.15 MB/s	        40.34 pct	      66 B/op	       0 allocs/op
   406BenchmarkDecoder_DecodeAllParallel/alice29.txt.zst-32       	   65800	     18436 ns/op	8249.63 MB/s	        37.75 pct	      88 B/op	       0 allocs/op
   407BenchmarkDecoder_DecodeAllParallel/html_x_4.zst-32          	  102993	     11523 ns/op	35546.09 MB/s	         3.637 pct	     143 B/op	       0 allocs/op
   408BenchmarkDecoder_DecodeAllParallel/paper-100k.pdf.zst-32    	 1000000	      1070 ns/op	95720.98 MB/s	        80.53 pct	       3 B/op	       0 allocs/op
   409BenchmarkDecoder_DecodeAllParallel/fireworks.jpeg.zst-32    	  749802	      1752 ns/op	70272.35 MB/s	       100.0 pct	       5 B/op	       0 allocs/op
   410BenchmarkDecoder_DecodeAllParallel/urls.10K.zst-32          	   22640	     52934 ns/op	13263.37 MB/s	        26.25 pct	    1014 B/op	       0 allocs/op
   411BenchmarkDecoder_DecodeAllParallel/html.zst-32              	  226412	      5232 ns/op	19572.27 MB/s	        14.49 pct	      20 B/op	       0 allocs/op
   412BenchmarkDecoder_DecodeAllParallel/comp-data.bin.zst-32     	  923041	      1276 ns/op	3194.71 MB/s	        31.26 pct	       0 B/op	       0 allocs/op
   413```
   414
   415This reflects the performance around May 2022, but this may be out of date.
   416
   417## Zstd inside ZIP files
   418
   419It is possible to use zstandard to compress individual files inside zip archives.
   420While this isn't widely supported it can be useful for internal files.
   421
   422To support the compression and decompression of these files you must register a compressor and decompressor.
   423
   424It is highly recommended registering the (de)compressors on individual zip Reader/Writer and NOT
   425use the global registration functions. The main reason for this is that 2 registrations from 
   426different packages will result in a panic.
   427
   428It is a good idea to only have a single compressor and decompressor, since they can be used for multiple zip
   429files concurrently, and using a single instance will allow reusing some resources.
   430
   431See [this example](https://pkg.go.dev/github.com/klauspost/compress/zstd#example-ZipCompressor) for 
   432how to compress and decompress files inside zip archives.
   433
   434# Contributions
   435
   436Contributions are always welcome. 
   437For new features/fixes, remember to add tests and for performance enhancements include benchmarks.
   438
   439For general feedback and experience reports, feel free to open an issue or write me on [Twitter](https://twitter.com/sh0dan).
   440
   441This package includes the excellent [`github.com/cespare/xxhash`](https://github.com/cespare/xxhash) package Copyright (c) 2016 Caleb Spare.

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