MapFileOutputFormat is missing from hadoop 1.x

The new API version of MapFileOutputFormat is not availble in the hadoop 1.x release series now (although equivalent old API MapFileOutputFormat class is available, located in package org.apache.hadoop.mapred).

 

To make use of this class, you have to port this class from hadoop 2.x or other version of hadoop that this class is available. The implementation is:

/**
 * 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.
 */

import java.io.IOException;
import java.util.Arrays;

import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.FileUtil;

import org.apache.hadoop.io.MapFile;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.SequenceFile.CompressionType;
import org.apache.hadoop.io.compress.CompressionCodec;
import org.apache.hadoop.io.compress.DefaultCodec;
import org.apache.hadoop.mapreduce.Partitioner;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat;
import org.apache.hadoop.util.ReflectionUtils;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.conf.Configuration;

/**
 * An {@link org.apache.hadoop.mapreduce.OutputFormat} that writes
 * {@link MapFile}s.
 *
 * Since this class is missing from hadoop 1.x, I ported it from main trunk.
 */
@InterfaceAudience.Public
@InterfaceStability.Stable
public class MapFileOutputFormat
        extends FileOutputFormat<WritableComparable<?>, Writable> {

    public RecordWriter<WritableComparable<?>, Writable> getRecordWriter(
            TaskAttemptContext context) throws IOException {
        Configuration conf = context.getConfiguration();
        CompressionCodec codec = null;
        CompressionType compressionType = CompressionType.NONE;
        if (getCompressOutput(context)) {
            // find the kind of compression to do
            compressionType = SequenceFileOutputFormat.getOutputCompressionType(context);

            // find the right codec
            Class<?> codecClass = getOutputCompressorClass(context,
                    DefaultCodec.class);
            codec = (CompressionCodec) ReflectionUtils.newInstance(codecClass, conf);
        }

        Path file = getDefaultWorkFile(context, "");
        FileSystem fs = file.getFileSystem(conf);
        // ignore the progress parameter, since MapFile is local
        final MapFile.Writer out =
                new MapFile.Writer(conf, fs, file.toString(),
                        context.getOutputKeyClass().asSubclass(WritableComparable.class),
                        context.getOutputValueClass().asSubclass(Writable.class),
                        compressionType, codec, context);

        return new RecordWriter<WritableComparable<?>, Writable>() {
            public void write(WritableComparable<?> key, Writable value)
                    throws IOException {
                out.append(key, value);
            }

            public void close(TaskAttemptContext context) throws IOException {
                out.close();
            }
        };
    }

    /** Open the output generated by this format. */
    public static MapFile.Reader[] getReaders(Path dir,
                                              Configuration conf) throws IOException {
        FileSystem fs = dir.getFileSystem(conf);
        Path[] names = FileUtil.stat2Paths(fs.listStatus(dir));

        // sort names, so that hash partitioning works
        Arrays.sort(names);

        MapFile.Reader[] parts = new MapFile.Reader[names.length];
        for (int i = 0; i < names.length; i++) {
            parts[i] = new MapFile.Reader(fs, names[i].toString(), conf);
        }
        return parts;
    }

    /** Get an entry from output generated by this class. */
    public static <K extends WritableComparable<?>, V extends Writable>
    Writable getEntry(MapFile.Reader[] readers,
                      Partitioner<K, V> partitioner, K key, V value) throws IOException {
        int part = partitioner.getPartition(key, value, readers.length);
        return readers[part].get(key, value);
    }
}

 Also you can refer to the MapReduce JIRA ticket: https://issues.apache.org/jira/browse/MAPREDUCE-4158 which is assigned to Tom White.

 

你可能感兴趣的:(hadoop)