mirror of
https://github.com/superseriousbusiness/gotosocial
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718 lines
39 KiB
Markdown
718 lines
39 KiB
Markdown
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# S2 Compression
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S2 is an extension of [Snappy](https://github.com/google/snappy).
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S2 is aimed for high throughput, which is why it features concurrent compression for bigger payloads.
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Decoding is compatible with Snappy compressed content, but content compressed with S2 cannot be decompressed by Snappy.
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This means that S2 can seamlessly replace Snappy without converting compressed content.
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S2 can produce Snappy compatible output, faster and better than Snappy.
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If you want full benefit of the changes you should use s2 without Snappy compatibility.
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S2 is designed to have high throughput on content that cannot be compressed.
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This is important, so you don't have to worry about spending CPU cycles on already compressed data.
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## Benefits over Snappy
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* Better compression
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* Adjustable compression (3 levels)
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* Concurrent stream compression
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* Faster decompression, even for Snappy compatible content
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* Ability to quickly skip forward in compressed stream
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* Compatible with reading Snappy compressed content
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* Smaller block size overhead on incompressible blocks
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* Block concatenation
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* Uncompressed stream mode
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* Automatic stream size padding
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* Snappy compatible block compression
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## Drawbacks over Snappy
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* Not optimized for 32 bit systems.
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* Streams use slightly more memory due to larger blocks and concurrency (configurable).
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# Usage
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Installation: `go get -u github.com/klauspost/compress/s2`
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Full package documentation:
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[![godoc][1]][2]
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[1]: https://godoc.org/github.com/klauspost/compress?status.svg
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[2]: https://godoc.org/github.com/klauspost/compress/s2
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## Compression
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```Go
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func EncodeStream(src io.Reader, dst io.Writer) error {
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enc := s2.NewWriter(dst)
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_, err := io.Copy(enc, src)
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if err != nil {
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enc.Close()
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return err
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}
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// Blocks until compression is done.
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return enc.Close()
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}
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```
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You should always call `enc.Close()`, otherwise you will leak resources and your encode will be incomplete.
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For the best throughput, you should attempt to reuse the `Writer` using the `Reset()` method.
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The Writer in S2 is always buffered, therefore `NewBufferedWriter` in Snappy can be replaced with `NewWriter` in S2.
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It is possible to flush any buffered data using the `Flush()` method.
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This will block until all data sent to the encoder has been written to the output.
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S2 also supports the `io.ReaderFrom` interface, which will consume all input from a reader.
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As a final method to compress data, if you have a single block of data you would like to have encoded as a stream,
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a slightly more efficient method is to use the `EncodeBuffer` method.
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This will take ownership of the buffer until the stream is closed.
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```Go
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func EncodeStream(src []byte, dst io.Writer) error {
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enc := s2.NewWriter(dst)
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// The encoder owns the buffer until Flush or Close is called.
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err := enc.EncodeBuffer(buf)
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if err != nil {
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enc.Close()
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return err
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}
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// Blocks until compression is done.
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return enc.Close()
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}
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```
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Each call to `EncodeBuffer` will result in discrete blocks being created without buffering,
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so it should only be used a single time per stream.
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If you need to write several blocks, you should use the regular io.Writer interface.
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## Decompression
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```Go
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func DecodeStream(src io.Reader, dst io.Writer) error {
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dec := s2.NewReader(src)
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_, err := io.Copy(dst, dec)
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return err
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}
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```
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Similar to the Writer, a Reader can be reused using the `Reset` method.
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For the best possible throughput, there is a `EncodeBuffer(buf []byte)` function available.
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However, it requires that the provided buffer isn't used after it is handed over to S2 and until the stream is flushed or closed.
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For smaller data blocks, there is also a non-streaming interface: `Encode()`, `EncodeBetter()` and `Decode()`.
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Do however note that these functions (similar to Snappy) does not provide validation of data,
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so data corruption may be undetected. Stream encoding provides CRC checks of data.
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It is possible to efficiently skip forward in a compressed stream using the `Skip()` method.
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For big skips the decompressor is able to skip blocks without decompressing them.
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## Single Blocks
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Similar to Snappy S2 offers single block compression.
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Blocks do not offer the same flexibility and safety as streams,
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but may be preferable for very small payloads, less than 100K.
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Using a simple `dst := s2.Encode(nil, src)` will compress `src` and return the compressed result.
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It is possible to provide a destination buffer.
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If the buffer has a capacity of `s2.MaxEncodedLen(len(src))` it will be used.
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If not a new will be allocated.
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Alternatively `EncodeBetter`/`EncodeBest` can also be used for better, but slightly slower compression.
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Similarly to decompress a block you can use `dst, err := s2.Decode(nil, src)`.
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Again an optional destination buffer can be supplied.
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The `s2.DecodedLen(src)` can be used to get the minimum capacity needed.
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If that is not satisfied a new buffer will be allocated.
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Block function always operate on a single goroutine since it should only be used for small payloads.
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# Commandline tools
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Some very simply commandline tools are provided; `s2c` for compression and `s2d` for decompression.
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Binaries can be downloaded on the [Releases Page](https://github.com/klauspost/compress/releases).
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Installing then requires Go to be installed. To install them, use:
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`go install github.com/klauspost/compress/s2/cmd/s2c && go install github.com/klauspost/compress/s2/cmd/s2d`
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To build binaries to the current folder use:
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`go build github.com/klauspost/compress/s2/cmd/s2c && go build github.com/klauspost/compress/s2/cmd/s2d`
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## s2c
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```
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Usage: s2c [options] file1 file2
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Compresses all files supplied as input separately.
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Output files are written as 'filename.ext.s2' or 'filename.ext.snappy'.
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By default output files will be overwritten.
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Use - as the only file name to read from stdin and write to stdout.
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Wildcards are accepted: testdir/*.txt will compress all files in testdir ending with .txt
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Directories can be wildcards as well. testdir/*/*.txt will match testdir/subdir/b.txt
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File names beginning with 'http://' and 'https://' will be downloaded and compressed.
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Only http response code 200 is accepted.
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Options:
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-bench int
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Run benchmark n times. No output will be written
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-blocksize string
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Max block size. Examples: 64K, 256K, 1M, 4M. Must be power of two and <= 4MB (default "4M")
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-c Write all output to stdout. Multiple input files will be concatenated
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-cpu int
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Compress using this amount of threads (default 32)
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-faster
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Compress faster, but with a minor compression loss
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-help
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Display help
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-o string
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Write output to another file. Single input file only
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-pad string
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Pad size to a multiple of this value, Examples: 500, 64K, 256K, 1M, 4M, etc (default "1")
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-q Don't write any output to terminal, except errors
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-rm
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Delete source file(s) after successful compression
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-safe
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Do not overwrite output files
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-slower
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Compress more, but a lot slower
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-snappy
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Generate Snappy compatible output stream
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-verify
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Verify written files
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```
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## s2d
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```
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Usage: s2d [options] file1 file2
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Decompresses all files supplied as input. Input files must end with '.s2' or '.snappy'.
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Output file names have the extension removed. By default output files will be overwritten.
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Use - as the only file name to read from stdin and write to stdout.
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Wildcards are accepted: testdir/*.txt will compress all files in testdir ending with .txt
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Directories can be wildcards as well. testdir/*/*.txt will match testdir/subdir/b.txt
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File names beginning with 'http://' and 'https://' will be downloaded and decompressed.
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Extensions on downloaded files are ignored. Only http response code 200 is accepted.
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Options:
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-bench int
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Run benchmark n times. No output will be written
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-c Write all output to stdout. Multiple input files will be concatenated
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-help
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Display help
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-o string
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Write output to another file. Single input file only
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-q Don't write any output to terminal, except errors
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-rm
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Delete source file(s) after successful decompression
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-safe
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Do not overwrite output files
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-verify
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Verify files, but do not write output
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```
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## s2sx: self-extracting archives
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s2sx allows creating self-extracting archives with no dependencies.
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By default, executables are created for the same platforms as the host os,
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but this can be overridden with `-os` and `-arch` parameters.
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Extracted files have 0666 permissions, except when untar option used.
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```
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Usage: s2sx [options] file1 file2
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Compresses all files supplied as input separately.
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If files have '.s2' extension they are assumed to be compressed already.
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Output files are written as 'filename.s2sx' and with '.exe' for windows targets.
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If output is big, an additional file with ".more" is written. This must be included as well.
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By default output files will be overwritten.
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Wildcards are accepted: testdir/*.txt will compress all files in testdir ending with .txt
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Directories can be wildcards as well. testdir/*/*.txt will match testdir/subdir/b.txt
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Options:
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-arch string
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Destination architecture (default "amd64")
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-c Write all output to stdout. Multiple input files will be concatenated
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-cpu int
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Compress using this amount of threads (default 32)
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-help
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Display help
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-max string
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Maximum executable size. Rest will be written to another file. (default "1G")
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-os string
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Destination operating system (default "windows")
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-q Don't write any output to terminal, except errors
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-rm
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Delete source file(s) after successful compression
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-safe
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Do not overwrite output files
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-untar
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Untar on destination
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```
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Available platforms are:
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* darwin-amd64
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* darwin-arm64
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* linux-amd64
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* linux-arm
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* linux-arm64
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* linux-mips64
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* linux-ppc64le
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* windows-386
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* windows-amd64
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By default, there is a size limit of 1GB for the output executable.
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When this is exceeded the remaining file content is written to a file called
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output+`.more`. This file must be included for a successful extraction and
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placed alongside the executable for a successful extraction.
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This file *must* have the same name as the executable, so if the executable is renamed,
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so must the `.more` file.
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This functionality is disabled with stdin/stdout.
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### Self-extracting TAR files
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If you wrap a TAR file you can specify `-untar` to make it untar on the destination host.
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Files are extracted to the current folder with the path specified in the tar file.
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Note that tar files are not validated before they are wrapped.
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For security reasons files that move below the root folder are not allowed.
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# Performance
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This section will focus on comparisons to Snappy.
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This package is solely aimed at replacing Snappy as a high speed compression package.
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If you are mainly looking for better compression [zstandard](https://github.com/klauspost/compress/tree/master/zstd#zstd)
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gives better compression, but typically at speeds slightly below "better" mode in this package.
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Compression is increased compared to Snappy, mostly around 5-20% and the throughput is typically 25-40% increased (single threaded) compared to the Snappy Go implementation.
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Streams are concurrently compressed. The stream will be distributed among all available CPU cores for the best possible throughput.
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A "better" compression mode is also available. This allows to trade a bit of speed for a minor compression gain.
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The content compressed in this mode is fully compatible with the standard decoder.
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Snappy vs S2 **compression** speed on 16 core (32 thread) computer, using all threads and a single thread (1 CPU):
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| File | S2 speed | S2 Throughput | S2 % smaller | S2 "better" | "better" throughput | "better" % smaller |
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|-----------------------------------------------------------------------------------------------------|----------|---------------|--------------|-------------|---------------------|--------------------|
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| [rawstudio-mint14.tar](https://files.klauspost.com/compress/rawstudio-mint14.7z) | 12.70x | 10556 MB/s | 7.35% | 4.15x | 3455 MB/s | 12.79% |
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| (1 CPU) | 1.14x | 948 MB/s | - | 0.42x | 349 MB/s | - |
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| [github-june-2days-2019.json](https://files.klauspost.com/compress/github-june-2days-2019.json.zst) | 17.13x | 14484 MB/s | 31.60% | 10.09x | 8533 MB/s | 37.71% |
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| (1 CPU) | 1.33x | 1127 MB/s | - | 0.70x | 589 MB/s | - |
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| [github-ranks-backup.bin](https://files.klauspost.com/compress/github-ranks-backup.bin.zst) | 15.14x | 12000 MB/s | -5.79% | 6.59x | 5223 MB/s | 5.80% |
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| (1 CPU) | 1.11x | 877 MB/s | - | 0.47x | 370 MB/s | - |
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| [consensus.db.10gb](https://files.klauspost.com/compress/consensus.db.10gb.zst) | 14.62x | 12116 MB/s | 15.90% | 5.35x | 4430 MB/s | 16.08% |
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| (1 CPU) | 1.38x | 1146 MB/s | - | 0.38x | 312 MB/s | - |
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| [adresser.json](https://files.klauspost.com/compress/adresser.json.zst) | 8.83x | 17579 MB/s | 43.86% | 6.54x | 13011 MB/s | 47.23% |
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| (1 CPU) | 1.14x | 2259 MB/s | - | 0.74x | 1475 MB/s | - |
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| [gob-stream](https://files.klauspost.com/compress/gob-stream.7z) | 16.72x | 14019 MB/s | 24.02% | 10.11x | 8477 MB/s | 30.48% |
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| (1 CPU) | 1.24x | 1043 MB/s | - | 0.70x | 586 MB/s | - |
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| [10gb.tar](http://mattmahoney.net/dc/10gb.html) | 13.33x | 9254 MB/s | 1.84% | 6.75x | 4686 MB/s | 6.72% |
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| (1 CPU) | 0.97x | 672 MB/s | - | 0.53x | 366 MB/s | - |
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| sharnd.out.2gb | 2.11x | 12639 MB/s | 0.01% | 1.98x | 11833 MB/s | 0.01% |
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| (1 CPU) | 0.93x | 5594 MB/s | - | 1.34x | 8030 MB/s | - |
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| [enwik9](http://mattmahoney.net/dc/textdata.html) | 19.34x | 8220 MB/s | 3.98% | 7.87x | 3345 MB/s | 15.82% |
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| (1 CPU) | 1.06x | 452 MB/s | - | 0.50x | 213 MB/s | - |
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| [silesia.tar](http://sun.aei.polsl.pl/~sdeor/corpus/silesia.zip) | 10.48x | 6124 MB/s | 5.67% | 3.76x | 2197 MB/s | 12.60% |
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| (1 CPU) | 0.97x | 568 MB/s | - | 0.46x | 271 MB/s | - |
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| [enwik10](https://encode.su/threads/3315-enwik10-benchmark-results) | 21.07x | 9020 MB/s | 6.36% | 6.91x | 2959 MB/s | 16.95% |
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| (1 CPU) | 1.07x | 460 MB/s | - | 0.51x | 220 MB/s | - |
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### Legend
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* `S2 speed`: Speed of S2 compared to Snappy, using 16 cores and 1 core.
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* `S2 throughput`: Throughput of S2 in MB/s.
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* `S2 % smaller`: How many percent of the Snappy output size is S2 better.
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* `S2 "better"`: Speed when enabling "better" compression mode in S2 compared to Snappy.
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* `"better" throughput`: Speed when enabling "better" compression mode in S2 compared to Snappy.
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* `"better" % smaller`: How many percent of the Snappy output size is S2 better when using "better" compression.
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There is a good speedup across the board when using a single thread and a significant speedup when using multiple threads.
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Machine generated data gets by far the biggest compression boost, with size being being reduced by up to 45% of Snappy size.
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The "better" compression mode sees a good improvement in all cases, but usually at a performance cost.
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Incompressible content (`sharnd.out.2gb`, 2GB random data) sees the smallest speedup.
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This is likely dominated by synchronization overhead, which is confirmed by the fact that single threaded performance is higher (see above).
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## Decompression
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S2 attempts to create content that is also fast to decompress, except in "better" mode where the smallest representation is used.
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S2 vs Snappy **decompression** speed. Both operating on single core:
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| File | S2 Throughput | vs. Snappy | Better Throughput | vs. Snappy |
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|-----------------------------------------------------------------------------------------------------|---------------|------------|-------------------|------------|
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| [rawstudio-mint14.tar](https://files.klauspost.com/compress/rawstudio-mint14.7z) | 2117 MB/s | 1.14x | 1738 MB/s | 0.94x |
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| [github-june-2days-2019.json](https://files.klauspost.com/compress/github-june-2days-2019.json.zst) | 2401 MB/s | 1.25x | 2307 MB/s | 1.20x |
|
||
|
| [github-ranks-backup.bin](https://files.klauspost.com/compress/github-ranks-backup.bin.zst) | 2075 MB/s | 0.98x | 1764 MB/s | 0.83x |
|
||
|
| [consensus.db.10gb](https://files.klauspost.com/compress/consensus.db.10gb.zst) | 2967 MB/s | 1.05x | 2885 MB/s | 1.02x |
|
||
|
| [adresser.json](https://files.klauspost.com/compress/adresser.json.zst) | 4141 MB/s | 1.07x | 4184 MB/s | 1.08x |
|
||
|
| [gob-stream](https://files.klauspost.com/compress/gob-stream.7z) | 2264 MB/s | 1.12x | 2185 MB/s | 1.08x |
|
||
|
| [10gb.tar](http://mattmahoney.net/dc/10gb.html) | 1525 MB/s | 1.03x | 1347 MB/s | 0.91x |
|
||
|
| sharnd.out.2gb | 3813 MB/s | 0.79x | 3900 MB/s | 0.81x |
|
||
|
| [enwik9](http://mattmahoney.net/dc/textdata.html) | 1246 MB/s | 1.29x | 967 MB/s | 1.00x |
|
||
|
| [silesia.tar](http://sun.aei.polsl.pl/~sdeor/corpus/silesia.zip) | 1433 MB/s | 1.12x | 1203 MB/s | 0.94x |
|
||
|
| [enwik10](https://encode.su/threads/3315-enwik10-benchmark-results) | 1284 MB/s | 1.32x | 1010 MB/s | 1.04x |
|
||
|
|
||
|
### Legend
|
||
|
|
||
|
* `S2 Throughput`: Decompression speed of S2 encoded content.
|
||
|
* `Better Throughput`: Decompression speed of S2 "better" encoded content.
|
||
|
* `vs Snappy`: Decompression speed of S2 "better" mode compared to Snappy and absolute speed.
|
||
|
|
||
|
|
||
|
While the decompression code hasn't changed, there is a significant speedup in decompression speed.
|
||
|
S2 prefers longer matches and will typically only find matches that are 6 bytes or longer.
|
||
|
While this reduces compression a bit, it improves decompression speed.
|
||
|
|
||
|
The "better" compression mode will actively look for shorter matches, which is why it has a decompression speed quite similar to Snappy.
|
||
|
|
||
|
Without assembly decompression is also very fast; single goroutine decompression speed. No assembly:
|
||
|
|
||
|
| File | S2 Throughput | S2 throughput |
|
||
|
|--------------------------------|--------------|---------------|
|
||
|
| consensus.db.10gb.s2 | 1.84x | 2289.8 MB/s |
|
||
|
| 10gb.tar.s2 | 1.30x | 867.07 MB/s |
|
||
|
| rawstudio-mint14.tar.s2 | 1.66x | 1329.65 MB/s |
|
||
|
| github-june-2days-2019.json.s2 | 2.36x | 1831.59 MB/s |
|
||
|
| github-ranks-backup.bin.s2 | 1.73x | 1390.7 MB/s |
|
||
|
| enwik9.s2 | 1.67x | 681.53 MB/s |
|
||
|
| adresser.json.s2 | 3.41x | 4230.53 MB/s |
|
||
|
| silesia.tar.s2 | 1.52x | 811.58 |
|
||
|
|
||
|
Even though S2 typically compresses better than Snappy, decompression speed is always better.
|
||
|
|
||
|
## Block compression
|
||
|
|
||
|
|
||
|
When compressing blocks no concurrent compression is performed just as Snappy.
|
||
|
This is because blocks are for smaller payloads and generally will not benefit from concurrent compression.
|
||
|
|
||
|
An important change is that incompressible blocks will not be more than at most 10 bytes bigger than the input.
|
||
|
In rare, worst case scenario Snappy blocks could be significantly bigger than the input.
|
||
|
|
||
|
### Mixed content blocks
|
||
|
|
||
|
The most reliable is a wide dataset.
|
||
|
For this we use [`webdevdata.org-2015-01-07-subset`](https://files.klauspost.com/compress/webdevdata.org-2015-01-07-4GB-subset.7z),
|
||
|
53927 files, total input size: 4,014,735,833 bytes. Single goroutine used.
|
||
|
|
||
|
| * | Input | Output | Reduction | MB/s |
|
||
|
|-------------------|------------|------------|-----------|--------|
|
||
|
| S2 | 4014735833 | 1059723369 | 73.60% | **934.34** |
|
||
|
| S2 Better | 4014735833 | 969670507 | 75.85% | 532.70 |
|
||
|
| S2 Best | 4014735833 | 906625668 | **77.85%** | 46.84 |
|
||
|
| Snappy | 4014735833 | 1128706759 | 71.89% | 762.59 |
|
||
|
| S2, Snappy Output | 4014735833 | 1093821420 | 72.75% | 908.60 |
|
||
|
| LZ4 | 4014735833 | 1079259294 | 73.12% | 526.94 |
|
||
|
|
||
|
S2 delivers both the best single threaded throughput with regular mode and the best compression rate with "best".
|
||
|
"Better" mode provides the same compression speed as LZ4 with better compression ratio.
|
||
|
|
||
|
When outputting Snappy compatible output it still delivers better throughput (150MB/s more) and better compression.
|
||
|
|
||
|
As can be seen from the other benchmarks decompression should also be easier on the S2 generated output.
|
||
|
|
||
|
Though they cannot be compared due to different decompression speeds here are the speed/size comparisons for
|
||
|
other Go compressors:
|
||
|
|
||
|
| * | Input | Output | Reduction | MB/s |
|
||
|
|-------------------|------------|------------|-----------|--------|
|
||
|
| Zstd Fastest (Go) | 4014735833 | 794608518 | 80.21% | 236.04 |
|
||
|
| Zstd Best (Go) | 4014735833 | 704603356 | 82.45% | 35.63 |
|
||
|
| Deflate (Go) l1 | 4014735833 | 871294239 | 78.30% | 214.04 |
|
||
|
| Deflate (Go) l9 | 4014735833 | 730389060 | 81.81% | 41.17 |
|
||
|
|
||
|
### Standard block compression
|
||
|
|
||
|
Benchmarking single block performance is subject to a lot more variation since it only tests a limited number of file patterns.
|
||
|
So individual benchmarks should only be seen as a guideline and the overall picture is more important.
|
||
|
|
||
|
These micro-benchmarks are with data in cache and trained branch predictors. For a more realistic benchmark see the mixed content above.
|
||
|
|
||
|
Block compression. Parallel benchmark running on 16 cores, 16 goroutines.
|
||
|
|
||
|
AMD64 assembly is use for both S2 and Snappy.
|
||
|
|
||
|
| Absolute Perf | Snappy size | S2 Size | Snappy Speed | S2 Speed | Snappy dec | S2 dec |
|
||
|
|-----------------------|-------------|---------|--------------|-------------|-------------|-------------|
|
||
|
| html | 22843 | 21111 | 16246 MB/s | 17438 MB/s | 40972 MB/s | 49263 MB/s |
|
||
|
| urls.10K | 335492 | 287326 | 7943 MB/s | 9693 MB/s | 22523 MB/s | 26484 MB/s |
|
||
|
| fireworks.jpeg | 123034 | 123100 | 349544 MB/s | 273889 MB/s | 718321 MB/s | 827552 MB/s |
|
||
|
| fireworks.jpeg (200B) | 146 | 155 | 8869 MB/s | 17773 MB/s | 33691 MB/s | 52421 MB/s |
|
||
|
| paper-100k.pdf | 85304 | 84459 | 167546 MB/s | 101263 MB/s | 326905 MB/s | 291944 MB/s |
|
||
|
| html_x_4 | 92234 | 21113 | 15194 MB/s | 50670 MB/s | 30843 MB/s | 32217 MB/s |
|
||
|
| alice29.txt | 88034 | 85975 | 5936 MB/s | 6139 MB/s | 12882 MB/s | 20044 MB/s |
|
||
|
| asyoulik.txt | 77503 | 79650 | 5517 MB/s | 6366 MB/s | 12735 MB/s | 22806 MB/s |
|
||
|
| lcet10.txt | 234661 | 220670 | 6235 MB/s | 6067 MB/s | 14519 MB/s | 18697 MB/s |
|
||
|
| plrabn12.txt | 319267 | 317985 | 5159 MB/s | 5726 MB/s | 11923 MB/s | 19901 MB/s |
|
||
|
| geo.protodata | 23335 | 18690 | 21220 MB/s | 26529 MB/s | 56271 MB/s | 62540 MB/s |
|
||
|
| kppkn.gtb | 69526 | 65312 | 9732 MB/s | 8559 MB/s | 18491 MB/s | 18969 MB/s |
|
||
|
| alice29.txt (128B) | 80 | 82 | 6691 MB/s | 15489 MB/s | 31883 MB/s | 38874 MB/s |
|
||
|
| alice29.txt (1000B) | 774 | 774 | 12204 MB/s | 13000 MB/s | 48056 MB/s | 52341 MB/s |
|
||
|
| alice29.txt (10000B) | 6648 | 6933 | 10044 MB/s | 12806 MB/s | 32378 MB/s | 46322 MB/s |
|
||
|
| alice29.txt (20000B) | 12686 | 13574 | 7733 MB/s | 11210 MB/s | 30566 MB/s | 58969 MB/s |
|
||
|
|
||
|
|
||
|
| Relative Perf | Snappy size | S2 size improved | S2 Speed | S2 Dec Speed |
|
||
|
|-----------------------|-------------|------------------|----------|--------------|
|
||
|
| html | 22.31% | 7.58% | 1.07x | 1.20x |
|
||
|
| urls.10K | 47.78% | 14.36% | 1.22x | 1.18x |
|
||
|
| fireworks.jpeg | 99.95% | -0.05% | 0.78x | 1.15x |
|
||
|
| fireworks.jpeg (200B) | 73.00% | -6.16% | 2.00x | 1.56x |
|
||
|
| paper-100k.pdf | 83.30% | 0.99% | 0.60x | 0.89x |
|
||
|
| html_x_4 | 22.52% | 77.11% | 3.33x | 1.04x |
|
||
|
| alice29.txt | 57.88% | 2.34% | 1.03x | 1.56x |
|
||
|
| asyoulik.txt | 61.91% | -2.77% | 1.15x | 1.79x |
|
||
|
| lcet10.txt | 54.99% | 5.96% | 0.97x | 1.29x |
|
||
|
| plrabn12.txt | 66.26% | 0.40% | 1.11x | 1.67x |
|
||
|
| geo.protodata | 19.68% | 19.91% | 1.25x | 1.11x |
|
||
|
| kppkn.gtb | 37.72% | 6.06% | 0.88x | 1.03x |
|
||
|
| alice29.txt (128B) | 62.50% | -2.50% | 2.31x | 1.22x |
|
||
|
| alice29.txt (1000B) | 77.40% | 0.00% | 1.07x | 1.09x |
|
||
|
| alice29.txt (10000B) | 66.48% | -4.29% | 1.27x | 1.43x |
|
||
|
| alice29.txt (20000B) | 63.43% | -7.00% | 1.45x | 1.93x |
|
||
|
|
||
|
Speed is generally at or above Snappy. Small blocks gets a significant speedup, although at the expense of size.
|
||
|
|
||
|
Decompression speed is better than Snappy, except in one case.
|
||
|
|
||
|
Since payloads are very small the variance in terms of size is rather big, so they should only be seen as a general guideline.
|
||
|
|
||
|
Size is on average around Snappy, but varies on content type.
|
||
|
In cases where compression is worse, it usually is compensated by a speed boost.
|
||
|
|
||
|
|
||
|
### Better compression
|
||
|
|
||
|
Benchmarking single block performance is subject to a lot more variation since it only tests a limited number of file patterns.
|
||
|
So individual benchmarks should only be seen as a guideline and the overall picture is more important.
|
||
|
|
||
|
| Absolute Perf | Snappy size | Better Size | Snappy Speed | Better Speed | Snappy dec | Better dec |
|
||
|
|-----------------------|-------------|-------------|--------------|--------------|-------------|-------------|
|
||
|
| html | 22843 | 19833 | 16246 MB/s | 7731 MB/s | 40972 MB/s | 40292 MB/s |
|
||
|
| urls.10K | 335492 | 253529 | 7943 MB/s | 3980 MB/s | 22523 MB/s | 20981 MB/s |
|
||
|
| fireworks.jpeg | 123034 | 123100 | 349544 MB/s | 9760 MB/s | 718321 MB/s | 823698 MB/s |
|
||
|
| fireworks.jpeg (200B) | 146 | 142 | 8869 MB/s | 594 MB/s | 33691 MB/s | 30101 MB/s |
|
||
|
| paper-100k.pdf | 85304 | 82915 | 167546 MB/s | 7470 MB/s | 326905 MB/s | 198869 MB/s |
|
||
|
| html_x_4 | 92234 | 19841 | 15194 MB/s | 23403 MB/s | 30843 MB/s | 30937 MB/s |
|
||
|
| alice29.txt | 88034 | 73218 | 5936 MB/s | 2945 MB/s | 12882 MB/s | 16611 MB/s |
|
||
|
| asyoulik.txt | 77503 | 66844 | 5517 MB/s | 2739 MB/s | 12735 MB/s | 14975 MB/s |
|
||
|
| lcet10.txt | 234661 | 190589 | 6235 MB/s | 3099 MB/s | 14519 MB/s | 16634 MB/s |
|
||
|
| plrabn12.txt | 319267 | 270828 | 5159 MB/s | 2600 MB/s | 11923 MB/s | 13382 MB/s |
|
||
|
| geo.protodata | 23335 | 18278 | 21220 MB/s | 11208 MB/s | 56271 MB/s | 57961 MB/s |
|
||
|
| kppkn.gtb | 69526 | 61851 | 9732 MB/s | 4556 MB/s | 18491 MB/s | 16524 MB/s |
|
||
|
| alice29.txt (128B) | 80 | 81 | 6691 MB/s | 529 MB/s | 31883 MB/s | 34225 MB/s |
|
||
|
| alice29.txt (1000B) | 774 | 748 | 12204 MB/s | 1943 MB/s | 48056 MB/s | 42068 MB/s |
|
||
|
| alice29.txt (10000B) | 6648 | 6234 | 10044 MB/s | 2949 MB/s | 32378 MB/s | 28813 MB/s |
|
||
|
| alice29.txt (20000B) | 12686 | 11584 | 7733 MB/s | 2822 MB/s | 30566 MB/s | 27315 MB/s |
|
||
|
|
||
|
|
||
|
| Relative Perf | Snappy size | Better size | Better Speed | Better dec |
|
||
|
|-----------------------|-------------|-------------|--------------|------------|
|
||
|
| html | 22.31% | 13.18% | 0.48x | 0.98x |
|
||
|
| urls.10K | 47.78% | 24.43% | 0.50x | 0.93x |
|
||
|
| fireworks.jpeg | 99.95% | -0.05% | 0.03x | 1.15x |
|
||
|
| fireworks.jpeg (200B) | 73.00% | 2.74% | 0.07x | 0.89x |
|
||
|
| paper-100k.pdf | 83.30% | 2.80% | 0.07x | 0.61x |
|
||
|
| html_x_4 | 22.52% | 78.49% | 0.04x | 1.00x |
|
||
|
| alice29.txt | 57.88% | 16.83% | 1.54x | 1.29x |
|
||
|
| asyoulik.txt | 61.91% | 13.75% | 0.50x | 1.18x |
|
||
|
| lcet10.txt | 54.99% | 18.78% | 0.50x | 1.15x |
|
||
|
| plrabn12.txt | 66.26% | 15.17% | 0.50x | 1.12x |
|
||
|
| geo.protodata | 19.68% | 21.67% | 0.50x | 1.03x |
|
||
|
| kppkn.gtb | 37.72% | 11.04% | 0.53x | 0.89x |
|
||
|
| alice29.txt (128B) | 62.50% | -1.25% | 0.47x | 1.07x |
|
||
|
| alice29.txt (1000B) | 77.40% | 3.36% | 0.08x | 0.88x |
|
||
|
| alice29.txt (10000B) | 66.48% | 6.23% | 0.16x | 0.89x |
|
||
|
| alice29.txt (20000B) | 63.43% | 8.69% | 0.29x | 0.89x |
|
||
|
|
||
|
Except for the mostly incompressible JPEG image compression is better and usually in the
|
||
|
double digits in terms of percentage reduction over Snappy.
|
||
|
|
||
|
The PDF sample shows a significant slowdown compared to Snappy, as this mode tries harder
|
||
|
to compress the data. Very small blocks are also not favorable for better compression, so throughput is way down.
|
||
|
|
||
|
This mode aims to provide better compression at the expense of performance and achieves that
|
||
|
without a huge performance penalty, except on very small blocks.
|
||
|
|
||
|
Decompression speed suffers a little compared to the regular S2 mode,
|
||
|
but still manages to be close to Snappy in spite of increased compression.
|
||
|
|
||
|
# Best compression mode
|
||
|
|
||
|
S2 offers a "best" compression mode.
|
||
|
|
||
|
This will compress as much as possible with little regard to CPU usage.
|
||
|
|
||
|
Mainly for offline compression, but where decompression speed should still
|
||
|
be high and compatible with other S2 compressed data.
|
||
|
|
||
|
Some examples compared on 16 core CPU, amd64 assembly used:
|
||
|
|
||
|
```
|
||
|
* enwik10
|
||
|
Default... 10000000000 -> 4761467548 [47.61%]; 1.098s, 8685.6MB/s
|
||
|
Better... 10000000000 -> 4219438251 [42.19%]; 1.925s, 4954.2MB/s
|
||
|
Best... 10000000000 -> 3627364337 [36.27%]; 43.051s, 221.5MB/s
|
||
|
|
||
|
* github-june-2days-2019.json
|
||
|
Default... 6273951764 -> 1043196283 [16.63%]; 431ms, 13882.3MB/s
|
||
|
Better... 6273951764 -> 949146808 [15.13%]; 547ms, 10938.4MB/s
|
||
|
Best... 6273951764 -> 832855506 [13.27%]; 9.455s, 632.8MB/s
|
||
|
|
||
|
* nyc-taxi-data-10M.csv
|
||
|
Default... 3325605752 -> 1095998837 [32.96%]; 324ms, 9788.7MB/s
|
||
|
Better... 3325605752 -> 954776589 [28.71%]; 491ms, 6459.4MB/s
|
||
|
Best... 3325605752 -> 779098746 [23.43%]; 8.29s, 382.6MB/s
|
||
|
|
||
|
* 10gb.tar
|
||
|
Default... 10065157632 -> 5916578242 [58.78%]; 1.028s, 9337.4MB/s
|
||
|
Better... 10065157632 -> 5649207485 [56.13%]; 1.597s, 6010.6MB/s
|
||
|
Best... 10065157632 -> 5208719802 [51.75%]; 32.78s, 292.8MB/
|
||
|
|
||
|
* consensus.db.10gb
|
||
|
Default... 10737418240 -> 4562648848 [42.49%]; 882ms, 11610.0MB/s
|
||
|
Better... 10737418240 -> 4542428129 [42.30%]; 1.533s, 6679.7MB/s
|
||
|
Best... 10737418240 -> 4244773384 [39.53%]; 42.96s, 238.4MB/s
|
||
|
```
|
||
|
|
||
|
Decompression speed should be around the same as using the 'better' compression mode.
|
||
|
|
||
|
# Snappy Compatibility
|
||
|
|
||
|
S2 now offers full compatibility with Snappy.
|
||
|
|
||
|
This means that the efficient encoders of S2 can be used to generate fully Snappy compatible output.
|
||
|
|
||
|
There is a [snappy](https://github.com/klauspost/compress/tree/master/snappy) package that can be used by
|
||
|
simply changing imports from `github.com/golang/snappy` to `github.com/klauspost/compress/snappy`.
|
||
|
This uses "better" mode for all operations.
|
||
|
If you would like more control, you can use the s2 package as described below:
|
||
|
|
||
|
## Blocks
|
||
|
|
||
|
Snappy compatible blocks can be generated with the S2 encoder.
|
||
|
Compression and speed is typically a bit better `MaxEncodedLen` is also smaller for smaller memory usage. Replace
|
||
|
|
||
|
| Snappy | S2 replacement |
|
||
|
|----------------------------|-------------------------|
|
||
|
| snappy.Encode(...) | s2.EncodeSnappy(...) |
|
||
|
| snappy.MaxEncodedLen(...) | s2.MaxEncodedLen(...) |
|
||
|
|
||
|
`s2.EncodeSnappy` can be replaced with `s2.EncodeSnappyBetter` or `s2.EncodeSnappyBest` to get more efficiently compressed snappy compatible output.
|
||
|
|
||
|
`s2.ConcatBlocks` is compatible with snappy blocks.
|
||
|
|
||
|
Comparison of [`webdevdata.org-2015-01-07-subset`](https://files.klauspost.com/compress/webdevdata.org-2015-01-07-4GB-subset.7z),
|
||
|
53927 files, total input size: 4,014,735,833 bytes. amd64, single goroutine used:
|
||
|
|
||
|
| Encoder | Size | MB/s | Reduction |
|
||
|
|-----------------------|------------|--------|------------
|
||
|
| snappy.Encode | 1128706759 | 725.59 | 71.89% |
|
||
|
| s2.EncodeSnappy | 1093823291 | 899.16 | 72.75% |
|
||
|
| s2.EncodeSnappyBetter | 1001158548 | 578.49 | 75.06% |
|
||
|
| s2.EncodeSnappyBest | 944507998 | 66.00 | 76.47% |
|
||
|
|
||
|
## Streams
|
||
|
|
||
|
For streams, replace `enc = snappy.NewBufferedWriter(w)` with `enc = s2.NewWriter(w, s2.WriterSnappyCompat())`.
|
||
|
All other options are available, but note that block size limit is different for snappy.
|
||
|
|
||
|
Comparison of different streams, AMD Ryzen 3950x, 16 cores. Size and throughput:
|
||
|
|
||
|
| File | snappy.NewWriter | S2 Snappy | S2 Snappy, Better | S2 Snappy, Best |
|
||
|
|-----------------------------|--------------------------|---------------------------|--------------------------|-------------------------|
|
||
|
| nyc-taxi-data-10M.csv | 1316042016 - 517.54MB/s | 1307003093 - 8406.29MB/s | 1174534014 - 4984.35MB/s | 1115904679 - 177.81MB/s |
|
||
|
| enwik10 | 5088294643 - 433.45MB/s | 5175840939 - 8454.52MB/s | 4560784526 - 4403.10MB/s | 4340299103 - 159.71MB/s |
|
||
|
| 10gb.tar | 6056946612 - 703.25MB/s | 6208571995 - 9035.75MB/s | 5741646126 - 2402.08MB/s | 5548973895 - 171.17MB/s |
|
||
|
| github-june-2days-2019.json | 1525176492 - 908.11MB/s | 1476519054 - 12625.93MB/s | 1400547532 - 6163.61MB/s | 1321887137 - 200.71MB/s |
|
||
|
| consensus.db.10gb | 5412897703 - 1054.38MB/s | 5354073487 - 12634.82MB/s | 5335069899 - 2472.23MB/s | 5201000954 - 166.32MB/s |
|
||
|
|
||
|
# Decompression
|
||
|
|
||
|
All decompression functions map directly to equivalent s2 functions.
|
||
|
|
||
|
| Snappy | S2 replacement |
|
||
|
|------------------------|--------------------|
|
||
|
| snappy.Decode(...) | s2.Decode(...) |
|
||
|
| snappy.DecodedLen(...) | s2.DecodedLen(...) |
|
||
|
| snappy.NewReader(...) | s2.NewReader(...) |
|
||
|
|
||
|
Features like [quick forward skipping without decompression](https://pkg.go.dev/github.com/klauspost/compress/s2#Reader.Skip)
|
||
|
are also available for Snappy streams.
|
||
|
|
||
|
If you know you are only decompressing snappy streams, setting [`ReaderMaxBlockSize(64<<10)`](https://pkg.go.dev/github.com/klauspost/compress/s2#ReaderMaxBlockSize)
|
||
|
on your Reader will reduce memory consumption.
|
||
|
|
||
|
# Concatenating blocks and streams.
|
||
|
|
||
|
Concatenating streams will concatenate the output of both without recompressing them.
|
||
|
While this is inefficient in terms of compression it might be usable in certain scenarios.
|
||
|
The 10 byte 'stream identifier' of the second stream can optionally be stripped, but it is not a requirement.
|
||
|
|
||
|
Blocks can be concatenated using the `ConcatBlocks` function.
|
||
|
|
||
|
Snappy blocks/streams can safely be concatenated with S2 blocks and streams.
|
||
|
|
||
|
# Format Extensions
|
||
|
|
||
|
* Frame [Stream identifier](https://github.com/google/snappy/blob/master/framing_format.txt#L68) changed from `sNaPpY` to `S2sTwO`.
|
||
|
* [Framed compressed blocks](https://github.com/google/snappy/blob/master/format_description.txt) can be up to 4MB (up from 64KB).
|
||
|
* Compressed blocks can have an offset of `0`, which indicates to repeat the last seen offset.
|
||
|
|
||
|
Repeat offsets must be encoded as a [2.2.1. Copy with 1-byte offset (01)](https://github.com/google/snappy/blob/master/format_description.txt#L89), where the offset is 0.
|
||
|
|
||
|
The length is specified by reading the 3-bit length specified in the tag and decode using this table:
|
||
|
|
||
|
| Length | Actual Length |
|
||
|
|--------|----------------------|
|
||
|
| 0 | 4 |
|
||
|
| 1 | 5 |
|
||
|
| 2 | 6 |
|
||
|
| 3 | 7 |
|
||
|
| 4 | 8 |
|
||
|
| 5 | 8 + read 1 byte |
|
||
|
| 6 | 260 + read 2 bytes |
|
||
|
| 7 | 65540 + read 3 bytes |
|
||
|
|
||
|
This allows any repeat offset + length to be represented by 2 to 5 bytes.
|
||
|
|
||
|
Lengths are stored as little endian values.
|
||
|
|
||
|
The first copy of a block cannot be a repeat offset and the offset is not carried across blocks in streams.
|
||
|
|
||
|
Default streaming block size is 1MB.
|
||
|
|
||
|
# LICENSE
|
||
|
|
||
|
This code is based on the [Snappy-Go](https://github.com/golang/snappy) implementation.
|
||
|
|
||
|
Use of this source code is governed by a BSD-style license that can be found in the LICENSE file.
|