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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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.
 */

// ================================================================================================
//                                 !!! NOTICE !!!
// 
//  This interface has been directly copied from the Apache Hadoop project.
//  It has been added to this project to allow compiling against the type "Writable"
//  without adding the heavyweight Hadoop dependency. This keeps the project dependencies 
//  lightweight.
//
//  At runtime, the JVM will load either this interface, or the interface from a Hadoop jar,
//  if present. In both cases, the dynamic class loading, linking, and method lookup will
//  allow the types to interoperate as long as package name, class name, and method signature
//  of this interface are kept strictly in sync with the version packaged with Hadoop.
//
//  This is a core interface of the Hadoop project and has been stable across all releases.
//
// ================================================================================================

package org.apache.hadoop.io;

import java.io.DataOutput;
import java.io.DataInput;
import java.io.IOException;


/**
 * A serializable object which implements a simple, efficient, serialization 
 * protocol, based on {@link DataInput} and {@link DataOutput}.
 *
 * 

Any key or value type in the Hadoop Map-Reduce * framework implements this interface.

* *

Implementations typically implement a static read(DataInput) * method which constructs a new instance, calls {@link #readFields(DataInput)} * and returns the instance.

* *

Example:

*

 *     public class MyWritable implements Writable {
 *       // Some data
 *       private int counter;
 *       private long timestamp;
 *
 *       // Default constructor to allow (de)serialization
 *       MyWritable() { }
 *
 *       public void write(DataOutput out) throws IOException {
 *         out.writeInt(counter);
 *         out.writeLong(timestamp);
 *       }
 *
 *       public void readFields(DataInput in) throws IOException {
 *         counter = in.readInt();
 *         timestamp = in.readLong();
 *       }
 *
 *       public static MyWritable read(DataInput in) throws IOException {
 *         MyWritable w = new MyWritable();
 *         w.readFields(in);
 *         return w;
 *       }
 *     }
 * 

*/ public interface Writable { /** * Serialize the fields of this object to out. * * @param out * DataOuput to serialize this object into. * @throws IOException */ void write(DataOutput out) throws IOException; /** * Deserialize the fields of this object from in. * *

* For efficiency, implementations should attempt to re-use storage in the * existing object where possible. *

* * @param in * DataInput to deseriablize this object from. * @throws IOException */ void readFields(DataInput in) throws IOException; }




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