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+/**
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+ * Licensed to the Apache Software Foundation (ASF) under one
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+ * or more contributor license agreements. See the NOTICE file
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+ * distributed with this work for additional information
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+ * regarding copyright ownership. The ASF licenses this file
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+ * to you under the Apache License, Version 2.0 (the
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+ * "License"); you may not use this file except in compliance
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+ * with the License. You may obtain a copy of the License at
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+ *
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+ * http://www.apache.org/licenses/LICENSE-2.0
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+ *
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+ * Unless required by applicable law or agreed to in writing, software
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+ * distributed under the License is distributed on an "AS IS" BASIS,
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+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ * See the License for the specific language governing permissions and
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+ * limitations under the License.
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+ */
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+
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+package org.apache.hadoop.mapreduce.lib.input;
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+
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+import static junit.framework.Assert.assertEquals;
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+import static junit.framework.Assert.assertFalse;
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+import static junit.framework.Assert.assertNotNull;
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+import static junit.framework.Assert.fail;
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+
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+import java.io.IOException;
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+import java.io.OutputStream;
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+import java.io.OutputStreamWriter;
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+import java.io.Writer;
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+import java.util.ArrayList;
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+import java.util.BitSet;
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+import java.util.List;
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+import java.util.Random;
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+
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+import org.apache.commons.logging.Log;
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+import org.apache.commons.logging.LogFactory;
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+import org.apache.hadoop.conf.Configuration;
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+import org.apache.hadoop.fs.FileSystem;
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+import org.apache.hadoop.fs.Path;
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+import org.apache.hadoop.io.LongWritable;
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+import org.apache.hadoop.io.Text;
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+import org.apache.hadoop.io.compress.CompressionCodec;
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+import org.apache.hadoop.io.compress.GzipCodec;
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+import org.apache.hadoop.mapreduce.InputFormat;
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+import org.apache.hadoop.mapreduce.InputSplit;
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+import org.apache.hadoop.mapreduce.Job;
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+import org.apache.hadoop.mapreduce.MapContext;
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+import org.apache.hadoop.mapreduce.MapReduceTestUtil;
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+import org.apache.hadoop.mapreduce.RecordReader;
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+import org.apache.hadoop.mapreduce.TaskAttemptContext;
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+import org.apache.hadoop.mapreduce.task.MapContextImpl;
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+import org.apache.hadoop.util.ReflectionUtils;
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+import org.junit.Test;
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+
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+public class TestCombineTextInputFormat {
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+ private static final Log LOG =
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+ LogFactory.getLog(TestCombineTextInputFormat.class);
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+
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+ private static Configuration defaultConf = new Configuration();
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+ private static FileSystem localFs = null;
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+
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+ static {
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+ try {
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+ defaultConf.set("fs.defaultFS", "file:///");
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+ localFs = FileSystem.getLocal(defaultConf);
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+ } catch (IOException e) {
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+ throw new RuntimeException("init failure", e);
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+ }
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+ }
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+
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+ private static Path workDir =
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+ new Path(new Path(System.getProperty("test.build.data", "."), "data"),
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+ "TestCombineTextInputFormat");
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+
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+ @Test(timeout=10000)
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+ public void testFormat() throws Exception {
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+ Job job = Job.getInstance(new Configuration(defaultConf));
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+
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+ Random random = new Random();
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+ long seed = random.nextLong();
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+ LOG.info("seed = " + seed);
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+ random.setSeed(seed);
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+
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+ localFs.delete(workDir, true);
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+ FileInputFormat.setInputPaths(job, workDir);
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+
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+ final int length = 10000;
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+ final int numFiles = 10;
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+
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+ // create files with various lengths
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+ createFiles(length, numFiles, random);
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+
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+ // create a combined split for the files
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+ CombineTextInputFormat format = new CombineTextInputFormat();
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+ for (int i = 0; i < 3; i++) {
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+ int numSplits = random.nextInt(length/20) + 1;
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+ LOG.info("splitting: requesting = " + numSplits);
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+ List<InputSplit> splits = format.getSplits(job);
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+ LOG.info("splitting: got = " + splits.size());
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+
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+ // we should have a single split as the length is comfortably smaller than
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+ // the block size
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+ assertEquals("We got more than one splits!", 1, splits.size());
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+ InputSplit split = splits.get(0);
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+ assertEquals("It should be CombineFileSplit",
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+ CombineFileSplit.class, split.getClass());
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+
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+ // check the split
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+ BitSet bits = new BitSet(length);
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+ LOG.debug("split= " + split);
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+ TaskAttemptContext context = MapReduceTestUtil.
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+ createDummyMapTaskAttemptContext(job.getConfiguration());
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+ RecordReader<LongWritable, Text> reader =
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+ format.createRecordReader(split, context);
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+ assertEquals("reader class is CombineFileRecordReader.",
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+ CombineFileRecordReader.class, reader.getClass());
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+ MapContext<LongWritable,Text,LongWritable,Text> mcontext =
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+ new MapContextImpl<LongWritable,Text,LongWritable,Text>(job.getConfiguration(),
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+ context.getTaskAttemptID(), reader, null, null,
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+ MapReduceTestUtil.createDummyReporter(), split);
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+ reader.initialize(split, mcontext);
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+
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+ try {
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+ int count = 0;
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+ while (reader.nextKeyValue()) {
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+ LongWritable key = reader.getCurrentKey();
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+ assertNotNull("Key should not be null.", key);
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+ Text value = reader.getCurrentValue();
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+ final int v = Integer.parseInt(value.toString());
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+ LOG.debug("read " + v);
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+ assertFalse("Key in multiple partitions.", bits.get(v));
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+ bits.set(v);
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+ count++;
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+ }
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+ LOG.debug("split=" + split + " count=" + count);
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+ } finally {
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+ reader.close();
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+ }
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+ assertEquals("Some keys in no partition.", length, bits.cardinality());
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+ }
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+ }
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+
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+ private static class Range {
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+ private final int start;
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+ private final int end;
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+
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+ Range(int start, int end) {
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+ this.start = start;
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+ this.end = end;
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+ }
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+
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+ @Override
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+ public String toString() {
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+ return "(" + start + ", " + end + ")";
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+ }
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+ }
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+
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+ private static Range[] createRanges(int length, int numFiles, Random random) {
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+ // generate a number of files with various lengths
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+ Range[] ranges = new Range[numFiles];
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+ for (int i = 0; i < numFiles; i++) {
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+ int start = i == 0 ? 0 : ranges[i-1].end;
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+ int end = i == numFiles - 1 ?
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+ length :
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+ (length/numFiles)*(2*i + 1)/2 + random.nextInt(length/numFiles) + 1;
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+ ranges[i] = new Range(start, end);
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+ }
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+ return ranges;
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+ }
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+
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+ private static void createFiles(int length, int numFiles, Random random)
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+ throws IOException {
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+ Range[] ranges = createRanges(length, numFiles, random);
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+
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+ for (int i = 0; i < numFiles; i++) {
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+ Path file = new Path(workDir, "test_" + i + ".txt");
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+ Writer writer = new OutputStreamWriter(localFs.create(file));
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+ Range range = ranges[i];
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+ try {
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+ for (int j = range.start; j < range.end; j++) {
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+ writer.write(Integer.toString(j));
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+ writer.write("\n");
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+ }
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+ } finally {
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+ writer.close();
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+ }
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+ }
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+ }
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+
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+ private static void writeFile(FileSystem fs, Path name,
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+ CompressionCodec codec,
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+ String contents) throws IOException {
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+ OutputStream stm;
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+ if (codec == null) {
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+ stm = fs.create(name);
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+ } else {
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+ stm = codec.createOutputStream(fs.create(name));
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+ }
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+ stm.write(contents.getBytes());
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+ stm.close();
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+ }
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+
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+ private static List<Text> readSplit(InputFormat<LongWritable,Text> format,
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+ InputSplit split, Job job) throws IOException, InterruptedException {
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+ List<Text> result = new ArrayList<Text>();
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+ Configuration conf = job.getConfiguration();
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+ TaskAttemptContext context = MapReduceTestUtil.
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+ createDummyMapTaskAttemptContext(conf);
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+ RecordReader<LongWritable, Text> reader = format.createRecordReader(split,
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+ MapReduceTestUtil.createDummyMapTaskAttemptContext(conf));
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+ MapContext<LongWritable,Text,LongWritable,Text> mcontext =
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+ new MapContextImpl<LongWritable,Text,LongWritable,Text>(conf,
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+ context.getTaskAttemptID(), reader, null, null,
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+ MapReduceTestUtil.createDummyReporter(),
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+ split);
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+ reader.initialize(split, mcontext);
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+ while (reader.nextKeyValue()) {
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+ result.add(new Text(reader.getCurrentValue()));
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+ }
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+ return result;
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+ }
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+
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+ /**
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+ * Test using the gzip codec for reading
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+ */
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+ @Test(timeout=10000)
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+ public void testGzip() throws IOException, InterruptedException {
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+ Configuration conf = new Configuration(defaultConf);
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+ CompressionCodec gzip = new GzipCodec();
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+ ReflectionUtils.setConf(gzip, conf);
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+ localFs.delete(workDir, true);
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+ writeFile(localFs, new Path(workDir, "part1.txt.gz"), gzip,
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+ "the quick\nbrown\nfox jumped\nover\n the lazy\n dog\n");
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+ writeFile(localFs, new Path(workDir, "part2.txt.gz"), gzip,
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+ "this is a test\nof gzip\n");
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+ Job job = Job.getInstance(conf);
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+ FileInputFormat.setInputPaths(job, workDir);
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+ CombineTextInputFormat format = new CombineTextInputFormat();
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+ List<InputSplit> splits = format.getSplits(job);
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+ assertEquals("compressed splits == 1", 1, splits.size());
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+ List<Text> results = readSplit(format, splits.get(0), job);
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+ assertEquals("splits[0] length", 8, results.size());
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+
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+ final String[] firstList =
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+ {"the quick", "brown", "fox jumped", "over", " the lazy", " dog"};
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+ final String[] secondList = {"this is a test", "of gzip"};
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+ String first = results.get(0).toString();
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+ if (first.equals(firstList[0])) {
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+ testResults(results, firstList, secondList);
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+ } else if (first.equals(secondList[0])) {
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+ testResults(results, secondList, firstList);
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+ } else {
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+ fail("unexpected first token!");
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+ }
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+ }
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+
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+ private static void testResults(List<Text> results, String[] first,
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+ String[] second) {
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+ for (int i = 0; i < first.length; i++) {
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+ assertEquals("splits[0]["+i+"]", first[i], results.get(i).toString());
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+ }
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+ for (int i = 0; i < second.length; i++) {
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+ int j = i + first.length;
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+ assertEquals("splits[0]["+j+"]", second[i], results.get(j).toString());
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+ }
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+ }
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+}
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