fd07ae7afe | ||
---|---|---|
lib | ||
project | ||
src | ||
.gitignore | ||
.travis.yml | ||
INSTALL | ||
LICENSE | ||
Makefile | ||
Makefile.common | ||
Makefile.package | ||
Milestone.md | ||
NOTICE | ||
README.md | ||
build.sbt | ||
googlecode_upload.py | ||
sbt | ||
stylesheet.css | ||
version.sbt |
README.md
The snappy-java is a Java port of the snappy http://code.google.com/p/snappy/, a fast C++ compresser/decompresser developed by Google.
Features
- Fast compression/decompression around 200~400MB/sec.
- Less memory usage. SnappyOutputStream uses only 32KB+ in default.
- JNI-based implementation to achieve comparable performance to the native C++ version.
- Although snappy-java uses JNI, it can be used safely with multiple class loaders (e.g. Tomcat, etc.).
- Compression/decompression of Java primitive arrays (
float[]
,double[]
,int[]
,short[]
,long[]
, etc.) - Portable across various operating systems; Snappy-java contains native libraries built for Window/Mac/Linux (64-bit). snappy-java loads one of these libraries according to your machine environment (It looks system properties,
os.name
andos.arch
). - Simple usage. Add the snappy-java-(version).jar file to your classpath. Then call compression/decompression methods in
org.xerial.snappy.Snappy
. - Framing-format support (Since 1.1.0 version)
- OSGi support
- Apache License Version 2.0. Free for both commercial and non-commercial use.
Performance
-
Snappy's main target is very high-speed compression/decompression with reasonable compression size. So the compression ratio of snappy-java is modest and about the same as
LZF
(ranging 20%-100% according to the dataset). -
Here are some benchmark results, comparing snappy-java and the other compressors
LZO-java
/LZF
/QuickLZ
/Gzip
/Bzip2
. Thanks Tatu Saloranta @cotowncoder for providing the benchmark suite. -
The benchmark result indicates snappy-java is the fastest compreesor/decompressor in Java: http://ning.github.com/jvm-compressor-benchmark/results/canterbury-roundtrip-2011-07-28/index.html
-
The decompression speed is twice as fast as the others: http://ning.github.com/jvm-compressor-benchmark/results/canterbury-uncompress-2011-07-28/index.html
Download
The current stable version is available from here:
- Release version: http://central.maven.org/maven2/org/xerial/snappy/snappy-java/
- Snapshot version (the latest beta version): https://oss.sonatype.org/content/repositories/snapshots/org/xerial/snappy/snappy-java/
Using with Maven
- Snappy-java is available from Maven's central repository: http://central.maven.org/maven2/org/xerial/snappy/snappy-java
Add the following dependency to your pom.xml:
<dependency>
<groupId>org.xerial.snappy</groupId>
<artifactId>snappy-java</artifactId>
<version>1.1.2.1</version>
<type>jar</type>
<scope>compile</scope>
</dependency>
Using with sbt
libraryDependencies += "org.xerial.snappy" % "snappy-java" % "1.1.2.1"
Usage
First, import org.xerial.snapy.Snappy
in your Java code:
import org.xerial.snappy.Snappy;
Then use Snappy.compress(byte[])
and Snappy.uncompress(byte[])
:
String input = "Hello snappy-java! Snappy-java is a JNI-based wrapper of "
+ "Snappy, a fast compresser/decompresser.";
byte[] compressed = Snappy.compress(input.getBytes("UTF-8"));
byte[] uncompressed = Snappy.uncompress(compressed);
String result = new String(uncompressed, "UTF-8");
System.out.println(result);
In addition, high-level methods (Snappy.compress(String)
, Snappy.compress(float[] ..)
etc. ) and low-level ones (e.g. Snappy.rawCompress(.. )
, Snappy.rawUncompress(..)
, etc.), which minimize memory copies, can be used.
Stream-based API
Stream-based compressor/decompressor SnappyOutputStream
/SnappyInputStream
are also available for reading/writing large data sets. SnappyFramedOutputStream
/SnappyFramedInputStream
can be used for the framing format.
- See also Javadoc API
Compatibility Notes
SnappyOutputStream
andSnappyInputStream
use[magic header:16 bytes]([block size:int32][compressed data:byte array])*
format. You can read the result ofSnappy.compress
withSnappyInputStream
, but you cannot read the compressed data generated bySnappyOutputStream
withSnappy.uncompress
. Here is the compatibility matrix of data foramt:
Write\Read | Snappy.uncompress |
SnappyInputStream |
SnappyFramedInputStream |
---|---|---|---|
Snappy.compress |
ok | ok | x |
SnappyOutputStream |
x | ok | x |
SnappyFramedOutputStream |
x | x | ok |
Setting classpath
If you have snappy-java-(VERSION).jar in the current directory, use -classpath
option as follows:
$ javac -classpath ".;snappy-java-(VERSION).jar" Sample.java # in Windows
or
$ javac -classpath ".:snappy-java-(VERSION).jar" Sample.java # in Mac or Linux
Public discussion group
Post bug reports or feature request to the Issue Tracker: https://github.com/xerial/snappy-java/issues
Public discussion forum is here: Xerial Public Discussion Group
Building from the source code
See the installation instruction. Building from the source code is an option when your OS platform and CPU architecture is not supported. To build snappy-java, you need Git, JDK (1.6 or higher), g++ compiler (mingw in Windows) etc.
$ git clone https://github.com/xerial/snappy-java.git
$ cd snappy-java
$ make
When building on Solaris use
$ gmake
A file target/snappy-java-$(version).jar
is the product additionally containing the native library built for your platform.
Building Linux x86_64 binary
snappy-java tries to static link libstdc++ to increase the availability for various Linux versions. However, standard distributions of 64-bit Linux OS rarely provide libstdc++ compiled with -fPIC
option. I currently uses custom g++, compiled as follows:
$ cd work
$ wget (gcc-4.8.3 source)
$ tar xvfz (gcc-4.8.3.tar.gz)
$ cd gcc-4.8.3
$ ./contrib/download_prerequisites
$ cd ..
$ mkdir objdir
$ cd objdir
$ ../gcc-4.8.3/configure --prefix=$HOME/local/gcc-4.8.3 CXXFLAGS=-fPIC CFLAGS=-fPIC --enable-languages=c,c++
$ make
$ make install
This g++ build enables static linking of libstdc++. For more infomation on building GCC, see GCC's home page.
Building Linux s390/s390x binaries
Older snapshots of snappy contain a buggy config.h.in that does not work properly on some big-endian platforms like Linux on IBM z (s390/s390x). Building snappy-java on s390/s390x requires fetching the snappy source from GitHub, and processing the source with autoconf to obtain a usable config.h. On a RHEL s390x system, these steps produced a working 64-bit snappy-java build (the process should be similar for other distributions):
$ sudo yum install java-1.7.1-ibm-devel libstdc++-static-devel
$ export JAVA_HOME=/usr/lib/jvm/java-1.7.1-ibm-1.7.1.2.10-1jpp.3.el7_0.s390x
$ make USE_GIT=1 GIT_REPO_URL=https://github.com/google/snappy.git GIT_SNAPPY_BRANCH=master IBM_JDK_7=1
Cross-compiling for other platforms
The Makefile contains rules for cross-compiling the native library for other platforms so that the snappy-java JAR can support multiple platforms. For example, to build the native libraries for x86 Linux, x86 and x86-64 Windows, and soft- and hard-float ARM:
$ make linux32 win32 win64 linux-arm linux-armhf
If you append snappy
to the line above, it will also build the native library for the current platform and then build the snappy-java JAR (containing all native libraries built so far).
Of course, you must first have the necessary cross-compilers and development libraries installed for each target CPU and OS. For example, on Ubuntu 12.04 for x86-64, install the following packages for each target:
- linux32:
sudo apt-get install g++-multilib libc6-dev-i386 lib32stdc++6
- win32:
sudo apt-get install g++-mingw-w64-i686
- win64:
sudo apt-get install g++-mingw-w64-x86-64
- arm:
sudo apt-get install g++-arm-linux-gnueabi
- armhf:
sudo apt-get install g++-arm-linux-gnueabihf
Unfortunately, cross-compiling for Mac OS X is not currently possible; you must compile within OS X.
If you are using Mac and openjdk7 (or higher), use the following option:
$ make native LIBNAME=libsnappyjava.dylib
For developers
snappy-java uses sbt (simple build tool for Scala) as a build tool. Here is a simple usage
$ ./sbt # enter sbt console
> ~test # run tests upon source code change
> ~test-only * # run tests that matches a given name pattern
> publishM2 # publish jar to $HOME/.m2/repository
> package # create jar file
> findbugs # Produce findbugs report in target/findbugs
> jacoco:cover # Report the code coverage of tests to target/jacoco folder
If you need to see detailed debug messages, launch sbt with -Dloglevel=debug
option:
$ ./sbt -Dloglevel=debug
For the details of sbt usage, see my blog post: Building Java Projects with sbt
Miscellaneous Notes
Using snappy-java with Tomcat 6 (or higher) Web Server
Simply put the snappy-java's jar to WEB-INF/lib folder of your web application. Usual JNI-library specific problem no longer exists since snappy-java version 1.0.3 or higher can be loaded by multiple class loaders.
Snappy-java is developed by Taro L. Saito. Twitter @taroleo