org.cloudata.util.matrix.MatrixMutiplyReduce.java Source code

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Here is the source code for org.cloudata.util.matrix.MatrixMutiplyReduce.java

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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.
 */
package org.cloudata.util.matrix;

import java.io.IOException;
import java.util.Iterator;

import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reducer;
import org.apache.hadoop.mapred.Reporter;
import org.cloudata.core.common.conf.CloudataConf;

public class MatrixMutiplyReduce implements Reducer<WritableComparable, Writable, Text, Text> {
    IOException err;
    AbstractMatrix resultMatrix;
    Reporter reporter;

    public void reduce(WritableComparable key, Iterator<Writable> values, OutputCollector<Text, Text> colletcor,
            Reporter reporter) throws IOException {
        if (this.reporter == null) {
            this.reporter = reporter;
        }
        MatrixItem matrixItem = (MatrixItem) key;
        double sum = 0;
        while (values.hasNext()) {
            Text value = (Text) values.next();
            sum += Double.parseDouble(value.toString());
        }
        resultMatrix.addToUploader(matrixItem.row, matrixItem.column, sum);
    }

    public void configure(JobConf job) {
        CloudataConf conf = new CloudataConf();
        boolean sparse = job.getBoolean(MatrixInputFormat.MATRIX_RESULT_SPARSE, false);
        String resultTableName = job.get(MatrixInputFormat.MATRIX_RESULT_TABLE);
        String resultColumnName = job.get(MatrixInputFormat.MATRIX_RESULT_COLUMN);

        try {
            if (sparse) {
                resultMatrix = new SparseMatrix(conf, resultTableName, resultColumnName);
            } else {
                resultMatrix = new Matrix(conf, resultTableName, resultColumnName);
            }
            resultMatrix.initUploader();
        } catch (IOException e) {
            err = e;
        }
    }

    public void close() throws IOException {
        resultMatrix.closeUploader();
    }
}