Java tutorial
/* * Mavuno: A Hadoop-Based Text Mining Toolkit * * 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 edu.isi.mavuno.util; import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; import org.apache.hadoop.io.Writable; /** * @author metzler * */ public class ScoreWritable implements Writable { // score public double score; // static score public double staticScore; // score normalization factor public double norm; public ScoreWritable() { score = 0.0; staticScore = 0.0; norm = 0.0; } /* (non-Javadoc) * @see org.apache.hadoop.io.Writable#readFields(java.io.DataInput) */ @Override public void readFields(DataInput in) throws IOException { score = in.readDouble(); staticScore = in.readDouble(); norm = in.readDouble(); } /* (non-Javadoc) * @see org.apache.hadoop.io.Writable#write(java.io.DataOutput) */ @Override public void write(DataOutput out) throws IOException { out.writeDouble(score); out.writeDouble(staticScore); out.writeDouble(norm); } @Override public String toString() { StringBuilder str = new StringBuilder(); str.append(score); str.append('\t'); str.append(staticScore); str.append('\t'); str.append(norm); return str.toString(); } }