org.cloudata.examples.web.TermUploadReduce.java Source code

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Here is the source code for org.cloudata.examples.web.TermUploadReduce.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.examples.web;

import java.io.BufferedInputStream;
import java.io.FileInputStream;
import java.io.IOException;
import java.text.DecimalFormat;
import java.util.Date;
import java.util.Iterator;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
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.client.Cell;
import org.cloudata.core.client.DirectUploader;
import org.cloudata.core.client.CTable;
import org.cloudata.core.client.Row;
import org.cloudata.core.common.conf.CloudataConf;
import org.cloudata.core.common.util.CloudataLineReader;
import org.cloudata.core.tablet.ColumnValue;

public class TermUploadReduce implements Reducer<WritableComparable, Writable, WritableComparable, Writable> {
    static final Log LOG = LogFactory.getLog(TermUploadReduce.class.getName());
    private CTable termTable;
    private IOException exception;
    private DirectUploader weightUploader;
    private DirectUploader dfUploader;

    int count = 0;
    DecimalFormat df = new DecimalFormat("0.0000000000");

    public void reduce(WritableComparable key, Iterator<Writable> values,
            OutputCollector<WritableComparable, Writable> collector, Reporter reporter) throws IOException {
        if (exception != null) {
            throw exception;
        }
        Text tKey = (Text) key;
        int keyIndex = tKey.find("\t");
        if (keyIndex < 0) {
            LOG.error("invalid value:" + tKey);
            return;
        }

        Row.Key rowKey = new Row.Key(tKey.getBytes(), 0, keyIndex);

        String keyStr = new String(tKey.getBytes(), keyIndex + 1, (tKey.getLength() - keyIndex - 1), "EUC-KR");

        //term, ?(tf), documentId url, freq, weight
        //term, ?(df), df
        String[] valueTokens = keyStr.split("\t");

        if (rowKey.getLength() < TestWebPage.MIN_TERM_LENGTH) {
            return;
        }

        count++;
        if (count % 50000 == 0) {
            System.out.println(new Date() + ":" + keyStr);
        }

        if (valueTokens.length == 2 && "df".equals(valueTokens[0])) {
            Row row = new Row(rowKey);
            row.addCell("df", new Cell(Cell.Key.EMPTY_KEY, valueTokens[1].getBytes()));
            dfUploader.put(row);
        } else if (valueTokens.length == 4 && "tf".equals(valueTokens[0])) {
            Row row = new Row(rowKey);
            String documentId = valueTokens[1];
            String freq = valueTokens[2];
            String weight = valueTokens[3];

            row.addCell("tf", new Cell(new Cell.Key(documentId), freq.getBytes()));
            row.addCell("weight", new Cell(new Cell.Key(documentId), weight.getBytes()));

            byte[] documentIdBytes = documentId.getBytes();

            row.addCell("i_weight",
                    new Cell(new Cell.Key((df.format(1.0 - Double.parseDouble(weight)) + documentId).getBytes()),
                            documentIdBytes));

            weightUploader.put(row);
        } else {
            LOG.error("invalid value:" + valueTokens.length + "," + count + "," + valueTokens[1] + "," + keyStr);
            return;
        }
    }

    //  private byte[] getDescCell.Key(double weight, byte[] documentIdBytes) {
    //    byte[] bytes = df.format(weight).getBytes();
    //    
    //    byte[] result = new byte[bytes.length + documentIdBytes.length];
    //    for(int i = 0; i < bytes.length; i++) {
    //      result[i] = (byte)(0xff - (int)bytes[i]);
    //    }
    //    
    //    System.arraycopy(documentIdBytes, 0, result, bytes.length, documentIdBytes.length);
    //    return result;
    //  }

    public void configure(JobConf jobConf) {
        try {
            CloudataConf conf = new CloudataConf();

            termTable = CTable.openTable(conf, TermUploadJob.TERM_TABLE);

            weightUploader = termTable.openDirectUploader(new String[] { "tf", "weight", "i_weight" });
            dfUploader = termTable.openDirectUploader(new String[] { "df" });
        } catch (IOException e) {
            exception = e;
        }
    }

    public void close() throws IOException {
        LOG.info("Start closing");
        weightUploader.close();
        dfUploader.close();
        LOG.info("End closing");
    }

    public static void main(String[] args) throws IOException {
        CloudataConf nconf = new CloudataConf();
        TermUploadReduce reduce = new TermUploadReduce();
        reduce.configure(null);

        CloudataLineReader reader = new CloudataLineReader(
                new BufferedInputStream(new FileInputStream("D:/temp1/blog")));

        int count = 1;
        Text text = new Text();
        while (true) {
            int length = reader.readLine(text);
            if (length <= 0) {
                break;
            }
            reduce.reduce(text, null, null, null);
        }
        reader.close();
        reduce.close();
    }
}