Code Monkey home page Code Monkey logo

leveldbjni's Introduction

LevelDB JNI

Description

LevelDB JNI gives you a Java interface to the LevelDB C++ library which is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values..

Getting the JAR

Just add the following jar to your java project: leveldbjni-all-1.8.jar

Using as a Maven Dependency

You just need to add the following dependency to your Maven pom.

<dependencies>
  <dependency>
    <groupId>org.fusesource.leveldbjni</groupId>
    <artifactId>leveldbjni-all</artifactId>
    <version>1.8</version>
  </dependency>
</dependencies>

By using the leveldbjni-all then the Java driver of leveldb is being used. If you want to use the navitive drivers, then use the os specific dependency instead of leveldbjni-all. For example to use linux 64 bit, then use this dependency:

<dependencies>
  <dependency>
    <groupId>org.fusesource.leveldbjni</groupId>
    <artifactId>leveldbjni-linux64</artifactId>
    <version>1.8</version>
  </dependency>
</dependencies>

API Usage:

Recommended Package imports:

import org.iq80.leveldb.*;
import static org.fusesource.leveldbjni.JniDBFactory.*;
import java.io.*;

Opening and closing the database.

Options options = new Options();
options.createIfMissing(true);
DB db = factory.open(new File("example"), options);
try {
  // Use the db in here....
} finally {
  // Make sure you close the db to shutdown the 
  // database and avoid resource leaks.
  db.close();
}

Putting, Getting, and Deleting key/values.

db.put(bytes("Tampa"), bytes("rocks"));
String value = asString(db.get(bytes("Tampa")));
db.delete(bytes("Tampa"));

Performing Batch/Bulk/Atomic Updates.

WriteBatch batch = db.createWriteBatch();
try {
  batch.delete(bytes("Denver"));
  batch.put(bytes("Tampa"), bytes("green"));
  batch.put(bytes("London"), bytes("red"));

  db.write(batch);
} finally {
  // Make sure you close the batch to avoid resource leaks.
  batch.close();
}

Iterating key/values.

DBIterator iterator = db.iterator();
try {
  for(iterator.seekToFirst(); iterator.hasNext(); iterator.next()) {
    String key = asString(iterator.peekNext().getKey());
    String value = asString(iterator.peekNext().getValue());
    System.out.println(key+" = "+value);
  }
} finally {
  // Make sure you close the iterator to avoid resource leaks.
  iterator.close();
}

Working against a Snapshot view of the Database.

ReadOptions ro = new ReadOptions();
ro.snapshot(db.getSnapshot());
try {
  
  // All read operations will now use the same 
  // consistent view of the data.
  ... = db.iterator(ro);
  ... = db.get(bytes("Tampa"), ro);

} finally {
  // Make sure you close the snapshot to avoid resource leaks.
  ro.snapshot().close();
}

Using a custom Comparator.

DBComparator comparator = new DBComparator(){
    public int compare(byte[] key1, byte[] key2) {
        return new String(key1).compareTo(new String(key2));
    }
    public String name() {
        return "simple";
    }
    public byte[] findShortestSeparator(byte[] start, byte[] limit) {
        return start;
    }
    public byte[] findShortSuccessor(byte[] key) {
        return key;
    }
};
Options options = new Options();
options.comparator(comparator);
DB db = factory.open(new File("example"), options);

Disabling Compression

Options options = new Options();
options.compressionType(CompressionType.NONE);
DB db = factory.open(new File("example"), options);

Configuring the Cache

Options options = new Options();
options.cacheSize(100 * 1048576); // 100MB cache
DB db = factory.open(new File("example"), options);

Getting approximate sizes.

long[] sizes = db.getApproximateSizes(new Range(bytes("a"), bytes("k")), new Range(bytes("k"), bytes("z")));
System.out.println("Size: "+sizes[0]+", "+sizes[1]);

Getting database status.

String stats = db.getProperty("leveldb.stats");
System.out.println(stats);

Getting informational log messages.

Logger logger = new Logger() {
  public void log(String message) {
    System.out.println(message);
  }
};
Options options = new Options();
options.logger(logger);
DB db = factory.open(new File("example"), options);

Destroying a database.

Options options = new Options();
factory.destroy(new File("example"), options);

Repairing a database.

Options options = new Options();
factory.repair(new File("example"), options);

Using a memory pool to make native memory allocations more efficient:

JniDBFactory.pushMemoryPool(1024 * 512);
try {
    // .. work with the DB in here, 
} finally {
    JniDBFactory.popMemoryPool();
}

Building

Prerequisites

Supported Platforms

The following worked for me on:

  • OS X Lion with X Code 4
  • CentOS 5.6 (32 and 64 bit)
  • Ubuntu 12.04 (32 and 64 bit)
  • apt-get install autoconf libtool

Build Procedure

Then download the snappy, leveldb, and leveldbjni project source code:

wget http://snappy.googlecode.com/files/snappy-1.0.5.tar.gz
tar -zxvf snappy-1.0.5.tar.gz
git clone git://github.com/chirino/leveldb.git
git clone git://github.com/fusesource/leveldbjni.git
export SNAPPY_HOME=`cd snappy-1.0.5; pwd`
export LEVELDB_HOME=`cd leveldb; pwd`
export LEVELDBJNI_HOME=`cd leveldbjni; pwd`

Compile the snappy project. This produces a static library.

cd ${SNAPPY_HOME}
./configure --disable-shared --with-pic
make

Patch and Compile the leveldb project. This produces a static library.

cd ${LEVELDB_HOME}
export LIBRARY_PATH=${SNAPPY_HOME}
export C_INCLUDE_PATH=${LIBRARY_PATH}
export CPLUS_INCLUDE_PATH=${LIBRARY_PATH}
git apply ../leveldbjni/leveldb.patch
make libleveldb.a

Now use maven to build the leveldbjni project.

cd ${LEVELDBJNI_HOME}
mvn clean install -P download -P ${platform}

Replace ${platform} with one of the following platform identifiers (depending on the platform your building on):

  • osx
  • linux32
  • linux64
  • win32
  • win64

If your platform does not have the right auto-tools levels available just copy the leveldbjni-${version}-SNAPSHOT-native-src.zip artifact from a platform the does have the tools available then add the following argument to your maven build:

-Dnative-src-url=file:leveldbjni-${verision}-SNAPSHOT-native-src.zip

Build Results

  • leveldbjni/target/leveldbjni-${version}.jar : The java class file to the library.
  • leveldbjni/target/leveldbjni-${version}-native-src.zip : A GNU style source project which you can use to build the native library on other systems.
  • leveldbjni-${platform}/target/leveldbjni-${platform}-${version}.jar : A jar file containing the built native library using your currently platform.

leveldbjni's People

Contributors

chirino avatar hsn10 avatar davsclaus avatar fordguo avatar jsherman1 avatar ostinru avatar rgrzywinski avatar tabish121 avatar lsb avatar dawnbreaks avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.