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The Snappy compression format in the Go programming language.

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Top Related Projects

google's avatar

snappy

6,127

A fast compressor/decompressor

facebook's avatar

zstd

23,535

Zstandard - Fast real-time compression algorithm

klauspost's avatar

compress

4,743

Optimized Go Compression Packages

Quick Overview

Golang/snappy is a Go implementation of the Snappy compression format. It provides a fast and efficient compression algorithm that aims for speed rather than maximum compression, making it suitable for scenarios where quick compression and decompression are prioritized over achieving the smallest possible compressed size.

Pros

  • Fast compression and decompression speeds
  • Low memory usage during compression and decompression
  • Suitable for real-time compression scenarios
  • Native Go implementation, easy to integrate into Go projects

Cons

  • Lower compression ratio compared to some other algorithms
  • Not designed for maximum compression, may not be ideal for long-term storage
  • Limited to 32-bit lengths for compressed data
  • May not be as widely supported as more common compression formats

Code Examples

  1. Compressing data:
import "github.com/golang/snappy"

data := []byte("Hello, world!")
compressed := snappy.Encode(nil, data)
  1. Decompressing data:
import "github.com/golang/snappy"

decompressed, err := snappy.Decode(nil, compressed)
if err != nil {
    // Handle error
}
  1. Using a Writer for streaming compression:
import (
    "github.com/golang/snappy"
    "os"
)

file, _ := os.Create("compressed.snappy")
writer := snappy.NewWriter(file)
writer.Write([]byte("Data to compress"))
writer.Close()
  1. Using a Reader for streaming decompression:
import (
    "github.com/golang/snappy"
    "os"
)

file, _ := os.Open("compressed.snappy")
reader := snappy.NewReader(file)
decompressed := make([]byte, 1024)
n, err := reader.Read(decompressed)

Getting Started

To use golang/snappy in your Go project, follow these steps:

  1. Install the package:

    go get github.com/golang/snappy

  2. Import the package in your Go code:

    import "github.com/golang/snappy"

  3. Use the provided functions for compression and decompression:

    data := []byte("Your data here")
compressed := snappy.Encode(nil, data)
decompressed, err := snappy.Decode(nil, compressed)

That's it! You can now use Snappy compression in your Go project.

Competitor Comparisons

google logo

snappy

6,127

A fast compressor/decompressor

Pros of snappy (Google)

  • Written in C++, potentially offering better performance in some scenarios
  • More mature project with a longer history and wider adoption
  • Supports a broader range of platforms and programming languages

Cons of snappy (Google)

  • Requires C++ compilation and bindings for use in other languages
  • May have a steeper learning curve for developers not familiar with C++
  • Less idiomatic for Go developers compared to the native Go implementation

Code Comparison

snappy (Google):

char* output = new char[maxCompressedLength];
size_t output_length;
RawCompress(input, input_length, output, &output_length);

snappy (Golang):

dst := make([]byte, snappy.MaxEncodedLen(len(src)))
encoded := snappy.Encode(dst, src)

Summary

While the Google snappy repository offers broader language support and potentially higher performance, the Golang snappy implementation provides a more native and idiomatic experience for Go developers. The choice between the two depends on specific project requirements, performance needs, and the primary programming language used in the project.

facebook logo

zstd

23,535

Zstandard - Fast real-time compression algorithm

Pros of Zstd

  • Higher compression ratios, especially for larger files
  • Faster decompression speed
  • More flexible with adjustable compression levels

Cons of Zstd

  • Slower compression speed for higher compression levels
  • Larger library size and more complex implementation
  • Less widespread adoption in Go ecosystem

Code Comparison

Snappy:

compressed := snappy.Encode(nil, data)
decompressed, err := snappy.Decode(nil, compressed)

Zstd:

compressed, err := zstd.Compress(nil, data)
decompressed, err := zstd.Decompress(nil, compressed)

Performance Comparison

  • Zstd generally achieves better compression ratios (20-30% smaller)
  • Snappy offers faster compression speed, especially at lower levels
  • Zstd provides faster decompression speed across all levels

Use Cases

  • Snappy: Quick compression/decompression for in-memory data or network transfers
  • Zstd: Archiving, file compression, and scenarios where higher compression ratios are crucial

Implementation

  • Snappy: Pure Go implementation, easy to integrate into Go projects
  • Zstd: C implementation with Go bindings, may require additional setup

Community and Maintenance

  • Snappy: Maintained by Google, part of the Go project
  • Zstd: Developed by Facebook, active community and frequent updates
klauspost logo

compress

4,743

Optimized Go Compression Packages

Pros of compress

  • Offers multiple compression algorithms (Snappy, S2, Zstandard, DEFLATE) in a single package
  • Generally provides better compression ratios and faster decompression speeds
  • Actively maintained with regular updates and improvements

Cons of compress

  • Larger codebase and API surface, potentially more complex to use
  • May have a slightly higher memory footprint due to additional features

Code comparison

snappy:

compressed := snappy.Encode(nil, data)
decompressed, err := snappy.Decode(nil, compressed)

compress:

compressed := s2.Encode(nil, data)
decompressed, err := s2.Decode(nil, compressed)

Key differences

  • compress supports multiple algorithms, while snappy focuses solely on the Snappy algorithm
  • compress offers more advanced features and optimizations, such as concurrent compression
  • snappy is part of the official Go project, which may provide better long-term stability

Use cases

  • snappy: Simple, fast compression with minimal overhead
  • compress: Projects requiring flexibility in compression algorithms or advanced features

Community and support

  • snappy: Benefits from Go's official support and documentation
  • compress: Active community with frequent updates and contributions

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README

The Snappy compression format in the Go programming language.

To use as a library: $ go get github.com/golang/snappy

To use as a binary: $ go install github.com/golang/snappy/cmd/snappytool@latest $ cat decoded | ~/go/bin/snappytool -e > encoded $ cat encoded | ~/go/bin/snappytool -d > decoded

Unless otherwise noted, the Snappy-Go source files are distributed under the BSD-style license found in the LICENSE file.

Benchmarks.

The golang/snappy benchmarks include compressing (Z) and decompressing (U) ten or so files, the same set used by the C++ Snappy code (github.com/google/snappy and note the "google", not "golang"). On an "Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz", Go's GOARCH=amd64 numbers as of 2016-05-29:

"go test -test.bench=."

_UFlat0-8 2.19GB/s ± 0% html _UFlat1-8 1.41GB/s ± 0% urls _UFlat2-8 23.5GB/s ± 2% jpg _UFlat3-8 1.91GB/s ± 0% jpg_200 _UFlat4-8 14.0GB/s ± 1% pdf _UFlat5-8 1.97GB/s ± 0% html4 _UFlat6-8 814MB/s ± 0% txt1 _UFlat7-8 785MB/s ± 0% txt2 _UFlat8-8 857MB/s ± 0% txt3 _UFlat9-8 719MB/s ± 1% txt4 _UFlat10-8 2.84GB/s ± 0% pb _UFlat11-8 1.05GB/s ± 0% gaviota

_ZFlat0-8 1.04GB/s ± 0% html _ZFlat1-8 534MB/s ± 0% urls _ZFlat2-8 15.7GB/s ± 1% jpg _ZFlat3-8 740MB/s ± 3% jpg_200 _ZFlat4-8 9.20GB/s ± 1% pdf _ZFlat5-8 991MB/s ± 0% html4 _ZFlat6-8 379MB/s ± 0% txt1 _ZFlat7-8 352MB/s ± 0% txt2 _ZFlat8-8 396MB/s ± 1% txt3 _ZFlat9-8 327MB/s ± 1% txt4 _ZFlat10-8 1.33GB/s ± 1% pb _ZFlat11-8 605MB/s ± 1% gaviota

"go test -test.bench=. -tags=noasm"

_UFlat0-8 621MB/s ± 2% html _UFlat1-8 494MB/s ± 1% urls _UFlat2-8 23.2GB/s ± 1% jpg _UFlat3-8 1.12GB/s ± 1% jpg_200 _UFlat4-8 4.35GB/s ± 1% pdf _UFlat5-8 609MB/s ± 0% html4 _UFlat6-8 296MB/s ± 0% txt1 _UFlat7-8 288MB/s ± 0% txt2 _UFlat8-8 309MB/s ± 1% txt3 _UFlat9-8 280MB/s ± 1% txt4 _UFlat10-8 753MB/s ± 0% pb _UFlat11-8 400MB/s ± 0% gaviota

_ZFlat0-8 409MB/s ± 1% html _ZFlat1-8 250MB/s ± 1% urls _ZFlat2-8 12.3GB/s ± 1% jpg _ZFlat3-8 132MB/s ± 0% jpg_200 _ZFlat4-8 2.92GB/s ± 0% pdf _ZFlat5-8 405MB/s ± 1% html4 _ZFlat6-8 179MB/s ± 1% txt1 _ZFlat7-8 170MB/s ± 1% txt2 _ZFlat8-8 189MB/s ± 1% txt3 _ZFlat9-8 164MB/s ± 1% txt4 _ZFlat10-8 479MB/s ± 1% pb _ZFlat11-8 270MB/s ± 1% gaviota

For comparison (Go's encoded output is byte-for-byte identical to C++'s), here are the numbers from C++ Snappy's

make CXXFLAGS="-O2 -DNDEBUG -g" clean snappy_unittest.log && cat snappy_unittest.log

BM_UFlat/0 2.4GB/s html BM_UFlat/1 1.4GB/s urls BM_UFlat/2 21.8GB/s jpg BM_UFlat/3 1.5GB/s jpg_200 BM_UFlat/4 13.3GB/s pdf BM_UFlat/5 2.1GB/s html4 BM_UFlat/6 1.0GB/s txt1 BM_UFlat/7 959.4MB/s txt2 BM_UFlat/8 1.0GB/s txt3 BM_UFlat/9 864.5MB/s txt4 BM_UFlat/10 2.9GB/s pb BM_UFlat/11 1.2GB/s gaviota

BM_ZFlat/0 944.3MB/s html (22.31 %) BM_ZFlat/1 501.6MB/s urls (47.78 %) BM_ZFlat/2 14.3GB/s jpg (99.95 %) BM_ZFlat/3 538.3MB/s jpg_200 (73.00 %) BM_ZFlat/4 8.3GB/s pdf (83.30 %) BM_ZFlat/5 903.5MB/s html4 (22.52 %) BM_ZFlat/6 336.0MB/s txt1 (57.88 %) BM_ZFlat/7 312.3MB/s txt2 (61.91 %) BM_ZFlat/8 353.1MB/s txt3 (54.99 %) BM_ZFlat/9 289.9MB/s txt4 (66.26 %) BM_ZFlat/10 1.2GB/s pb (19.68 %) BM_ZFlat/11 527.4MB/s gaviota (37.72 %)