ml.shifu.guagua.io.Bytable Maven / Gradle / Ivy
/*
* Copyright [2013-2014] eBay Software Foundation
*
* 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.
*/
package ml.shifu.guagua.io;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
/**
* {@link Bytable} defines master and worker results.
*
*
* {@link Bytable} is coped from Hadoop io Writable. Hadoop Writable was used firstly but {@link Bytable} is used to
* make guagua-core independent (not depend on any platform).
*
*
* To use Hadoop original Writable, GuaguaWritableAdapter in guagua-mapreduce module is an adapter to help you re-use
* Hadoop existing Writable in guagua application.
*
* @see GuaguaWritableAdapter in guagua-mapreduce
*/
public interface Bytable {
/**
* Serialize the fields of this object to out.
*
* @param out
* DataOuput to serialize this object into.
* @throws IOException
* In case of any io exception.
*/
void write(DataOutput out) throws IOException;
/**
* De-serialize 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 de-seriablize this object from.
* @throws IOException
* In case of any io exception.
*/
void readFields(DataInput in) throws IOException;
}