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91 lines
2.4 KiB
Markdown
91 lines
2.4 KiB
Markdown
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# lz4 : LZ4 compression in pure Go
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[](https://godoc.org/github.com/pierrec/lz4)
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[](https://travis-ci.org/pierrec/lz4)
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[](https://goreportcard.com/report/github.com/pierrec/lz4)
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[](https://github.com/pierrec/lz4/tags)
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## Overview
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This package provides a streaming interface to [LZ4 data streams](http://fastcompression.blogspot.fr/2013/04/lz4-streaming-format-final.html) as well as low level compress and uncompress functions for LZ4 data blocks.
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The implementation is based on the reference C [one](https://github.com/lz4/lz4).
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## Install
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Assuming you have the go toolchain installed:
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```
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go get github.com/pierrec/lz4/v3
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```
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There is a command line interface tool to compress and decompress LZ4 files.
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```
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go install github.com/pierrec/lz4/cmd/lz4c
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```
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Usage
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```
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Usage of lz4c:
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-version
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print the program version
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Subcommands:
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Compress the given files or from stdin to stdout.
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compress [arguments] [<file name> ...]
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-bc
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enable block checksum
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-l int
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compression level (0=fastest)
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-sc
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disable stream checksum
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-size string
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block max size [64K,256K,1M,4M] (default "4M")
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Uncompress the given files or from stdin to stdout.
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uncompress [arguments] [<file name> ...]
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```
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## Example
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```
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// Compress and uncompress an input string.
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s := "hello world"
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r := strings.NewReader(s)
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// The pipe will uncompress the data from the writer.
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pr, pw := io.Pipe()
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zw := lz4.NewWriter(pw)
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zr := lz4.NewReader(pr)
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go func() {
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// Compress the input string.
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_, _ = io.Copy(zw, r)
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_ = zw.Close() // Make sure the writer is closed
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_ = pw.Close() // Terminate the pipe
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}()
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_, _ = io.Copy(os.Stdout, zr)
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// Output:
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// hello world
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```
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## Contributing
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Contributions are very welcome for bug fixing, performance improvements...!
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- Open an issue with a proper description
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- Send a pull request with appropriate test case(s)
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## Contributors
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Thanks to all [contributors](https://github.com/pierrec/lz4/graphs/contributors) so far!
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Special thanks to [@Zariel](https://github.com/Zariel) for his asm implementation of the decoder.
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Special thanks to [@klauspost](https://github.com/klauspost) for his work on optimizing the code.
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