This fork of LevelDB JNI gives you a Java interface to the PebblesDB C++ library, which is a write-optimized key-value store built with FLSM (Fragmented Log-Structured Merge Tree) data structure. FLSM is a modification of the standard log-structured merge tree data structure which aims at achieving higher write throughput and lower write amplification without compromising on read throughput.
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();
}
- GNU compiler toolchain
- Maven 3
The following worked for me on:
- Ubuntu 14.04, 16.06, 18.04 (64 bit)
Run : apt-get install autoconf libtool
Then download the snappy, pebblesdb, and leveldbjni project source code:
wget https://src.fedoraproject.org/lookaside/pkgs/snappy/snappy-1.0.5.tar.gz/4c0af044e654f5983f4acbf00d1ac236/snappy-1.0.5.tar.gz
tar -zxvf snappy-1.0.5.tar.gz
git clone https://github.com/utsaslab/pebblesdb.git
git clone https://github.com/utsaslab/leveldbjni.git
export SNAPPY_HOME=`cd snappy-1.0.5; pwd`
export PEBBLESDB_HOME=`cd pebblesdb; 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 ${PEBBLESDB_HOME}
git apply ../leveldbjni/pebblesdb.patch
mkdir -p build && cd build
cmake .. && make install -j16
Now use maven to build the leveldbjni project.
cd ${LEVELDBJNI_HOME}
chmod a+x setup.sh
./setup.sh
export LEVELDB_HOME=`cd pebblesdb; pwd`
export platform="linux64"
mvn clean install -P download -P ${platform}
Here, ${platform} can be one of the following platform identifiers (depending on the platform you are building on):
- osx
- linux32
- linux64
- win32
- win64
- freebsd64
If your platform does not have the right auto-tools levels available
just copy the leveldbjni-${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-${verision}-SNAPSHOT-native-src.zip
leveldbjni/target/leveldbjni-${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.
Firstly build this project for the specific platform. Refer above for building instructions.
Then, clone the following fork of YCSB.
git clone https://github.com/utsaslab/YCSB.git
export YCSB_HOME=`cd YCSB; pwd`
cd ${YCSB_HOME}
Copy the jars created by LevelDbJni.
mkdir ${YCSB_HOME}/pebblesdb/lib
cp ${LEVELDBJNI_HOME}/leveldbjni/target/*.jar ${YCSB_HOME}/pebblesdb/lib
cp ${LEVELDBJNI_HOME}/leveldbjni-{platform}/target/*.jar ${YCSB_HOME}/pebblesdb/lib
Build the pebblesDB binding.
mvn -pl com.yahoo.ycsb:pebblesdb-binding -am clean package
Run the YCSB workloads. Example command :-
java -cp pebblesdb/target/*:pebblesdb/target/dependency/*:pebblesdb/lib/*: com.yahoo.ycsb.Client -load -db com.yahoo.ycsb.db.PebblesDbClient -P workloads/workloada
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent