org.apache.hadoop.mapreduce.lib.input.TestCombineTextInputFormat.java Source code

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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.apache.hadoop.mapreduce.lib.input;

import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.fail;

import java.io.IOException;
import java.io.OutputStream;
import java.io.OutputStreamWriter;
import java.io.Writer;
import java.util.ArrayList;
import java.util.BitSet;
import java.util.List;
import java.util.Random;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.CompressionCodec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapreduce.InputFormat;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.MapContext;
import org.apache.hadoop.mapreduce.MapReduceTestUtil;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.task.MapContextImpl;
import org.apache.hadoop.util.ReflectionUtils;
import org.junit.Test;

public class TestCombineTextInputFormat {
    private static final Log LOG = LogFactory.getLog(TestCombineTextInputFormat.class);

    private static Configuration defaultConf = new Configuration();
    private static FileSystem localFs = null;

    static {
        try {
            defaultConf.set("fs.defaultFS", "file:///");
            localFs = FileSystem.getLocal(defaultConf);
        } catch (IOException e) {
            throw new RuntimeException("init failure", e);
        }
    }

    private static Path workDir = new Path(new Path(System.getProperty("test.build.data", "."), "data"),
            "TestCombineTextInputFormat");

    @Test(timeout = 10000)
    public void testFormat() throws Exception {
        Job job = Job.getInstance(new Configuration(defaultConf));

        Random random = new Random();
        long seed = random.nextLong();
        LOG.info("seed = " + seed);
        random.setSeed(seed);

        localFs.delete(workDir, true);
        FileInputFormat.setInputPaths(job, workDir);

        final int length = 10000;
        final int numFiles = 10;

        // create files with various lengths
        createFiles(length, numFiles, random);

        // create a combined split for the files
        CombineTextInputFormat format = new CombineTextInputFormat();
        for (int i = 0; i < 3; i++) {
            int numSplits = random.nextInt(length / 20) + 1;
            LOG.info("splitting: requesting = " + numSplits);
            List<InputSplit> splits = format.getSplits(job);
            LOG.info("splitting: got =        " + splits.size());

            // we should have a single split as the length is comfortably smaller than
            // the block size
            assertEquals("We got more than one splits!", 1, splits.size());
            InputSplit split = splits.get(0);
            assertEquals("It should be CombineFileSplit", CombineFileSplit.class, split.getClass());

            // check the split
            BitSet bits = new BitSet(length);
            LOG.debug("split= " + split);
            TaskAttemptContext context = MapReduceTestUtil.createDummyMapTaskAttemptContext(job.getConfiguration());
            RecordReader<LongWritable, Text> reader = format.createRecordReader(split, context);
            assertEquals("reader class is CombineFileRecordReader.", CombineFileRecordReader.class,
                    reader.getClass());
            MapContext<LongWritable, Text, LongWritable, Text> mcontext = new MapContextImpl<LongWritable, Text, LongWritable, Text>(
                    job.getConfiguration(), context.getTaskAttemptID(), reader, null, null,
                    MapReduceTestUtil.createDummyReporter(), split);
            reader.initialize(split, mcontext);

            try {
                int count = 0;
                while (reader.nextKeyValue()) {
                    LongWritable key = reader.getCurrentKey();
                    assertNotNull("Key should not be null.", key);
                    Text value = reader.getCurrentValue();
                    final int v = Integer.parseInt(value.toString());
                    LOG.debug("read " + v);
                    assertFalse("Key in multiple partitions.", bits.get(v));
                    bits.set(v);
                    count++;
                }
                LOG.debug("split=" + split + " count=" + count);
            } finally {
                reader.close();
            }
            assertEquals("Some keys in no partition.", length, bits.cardinality());
        }
    }

    private static class Range {
        private final int start;
        private final int end;

        Range(int start, int end) {
            this.start = start;
            this.end = end;
        }

        @Override
        public String toString() {
            return "(" + start + ", " + end + ")";
        }
    }

    private static Range[] createRanges(int length, int numFiles, Random random) {
        // generate a number of files with various lengths
        Range[] ranges = new Range[numFiles];
        for (int i = 0; i < numFiles; i++) {
            int start = i == 0 ? 0 : ranges[i - 1].end;
            int end = i == numFiles - 1 ? length
                    : (length / numFiles) * (2 * i + 1) / 2 + random.nextInt(length / numFiles) + 1;
            ranges[i] = new Range(start, end);
        }
        return ranges;
    }

    private static void createFiles(int length, int numFiles, Random random) throws IOException {
        Range[] ranges = createRanges(length, numFiles, random);

        for (int i = 0; i < numFiles; i++) {
            Path file = new Path(workDir, "test_" + i + ".txt");
            Writer writer = new OutputStreamWriter(localFs.create(file));
            Range range = ranges[i];
            try {
                for (int j = range.start; j < range.end; j++) {
                    writer.write(Integer.toString(j));
                    writer.write("\n");
                }
            } finally {
                writer.close();
            }
        }
    }

    private static void writeFile(FileSystem fs, Path name, CompressionCodec codec, String contents)
            throws IOException {
        OutputStream stm;
        if (codec == null) {
            stm = fs.create(name);
        } else {
            stm = codec.createOutputStream(fs.create(name));
        }
        stm.write(contents.getBytes());
        stm.close();
    }

    private static List<Text> readSplit(InputFormat<LongWritable, Text> format, InputSplit split, Job job)
            throws IOException, InterruptedException {
        List<Text> result = new ArrayList<Text>();
        Configuration conf = job.getConfiguration();
        TaskAttemptContext context = MapReduceTestUtil.createDummyMapTaskAttemptContext(conf);
        RecordReader<LongWritable, Text> reader = format.createRecordReader(split,
                MapReduceTestUtil.createDummyMapTaskAttemptContext(conf));
        MapContext<LongWritable, Text, LongWritable, Text> mcontext = new MapContextImpl<LongWritable, Text, LongWritable, Text>(
                conf, context.getTaskAttemptID(), reader, null, null, MapReduceTestUtil.createDummyReporter(),
                split);
        reader.initialize(split, mcontext);
        while (reader.nextKeyValue()) {
            result.add(new Text(reader.getCurrentValue()));
        }
        return result;
    }

    /**
     * Test using the gzip codec for reading
     */
    @Test(timeout = 10000)
    public void testGzip() throws IOException, InterruptedException {
        Configuration conf = new Configuration(defaultConf);
        CompressionCodec gzip = new GzipCodec();
        ReflectionUtils.setConf(gzip, conf);
        localFs.delete(workDir, true);
        writeFile(localFs, new Path(workDir, "part1.txt.gz"), gzip,
                "the quick\nbrown\nfox jumped\nover\n the lazy\n dog\n");
        writeFile(localFs, new Path(workDir, "part2.txt.gz"), gzip, "this is a test\nof gzip\n");
        Job job = Job.getInstance(conf);
        FileInputFormat.setInputPaths(job, workDir);
        CombineTextInputFormat format = new CombineTextInputFormat();
        List<InputSplit> splits = format.getSplits(job);
        assertEquals("compressed splits == 1", 1, splits.size());
        List<Text> results = readSplit(format, splits.get(0), job);
        assertEquals("splits[0] length", 8, results.size());

        final String[] firstList = { "the quick", "brown", "fox jumped", "over", " the lazy", " dog" };
        final String[] secondList = { "this is a test", "of gzip" };
        String first = results.get(0).toString();
        if (first.equals(firstList[0])) {
            testResults(results, firstList, secondList);
        } else if (first.equals(secondList[0])) {
            testResults(results, secondList, firstList);
        } else {
            fail("unexpected first token!");
        }
    }

    private static void testResults(List<Text> results, String[] first, String[] second) {
        for (int i = 0; i < first.length; i++) {
            assertEquals("splits[0][" + i + "]", first[i], results.get(i).toString());
        }
        for (int i = 0; i < second.length; i++) {
            int j = i + first.length;
            assertEquals("splits[0][" + j + "]", second[i], results.get(j).toString());
        }
    }
}