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Easy Redis Java client and Real-Time Data Platform. Valkey compatible. Sync/Async/RxJava3/Reactive API. Client side caching. Over 50 Redis based Java objects and services: JCache API, Apache Tomcat, Hibernate, Spring, Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Scheduler, RPC

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/*--------------------------------------------------------------------------
 *  Copyright 2011 Taro L. Saito
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *--------------------------------------------------------------------------*/

/**
 * Snappy API for compressing/decompressing data.
 * 
 * Usage
 * First, import {@link org.xerial.snappy.Snappy} in your Java code:
 * 
 * 
 * import org.xerial.snappy.Snappy;
 * 

 * 
 * Then use {@link org.xerial.snappy.Snappy#compress(byte[])} and {@link org.xerial.snappy.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.
 */
package org.xerial.snappy;