Java tutorial
/** * Code from : https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1/src/examples/org/apache/hadoop/examples/terasort/TeraSort.java */ /** * 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 source; import java.io.IOException; import java.io.PrintStream; import java.net.URI; import java.util.ArrayList; import java.util.List; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.filecache.DistributedCache; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.SequenceFile; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.FileOutputFormat; import org.apache.hadoop.mapred.JobClient; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.Partitioner; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; /** * Generates the sampled split points, launches the job, and waits for it to * finish. * <p> * To run the program: * <b>bin/hadoop jar hadoop-examples-*.jar terasort in-dir out-dir</b> */ public class TeraSort extends Configured implements Tool { private static final Log LOG = LogFactory.getLog(TeraSort.class); private static final String OUTPUT_REPLICATION = "mapreduce.terasort.output.replication"; /** * A partitioner that splits text keys into roughly equal partitions * in a global sorted order. */ static class TotalOrderPartitioner implements Partitioner<Text, Text> { private TrieNode trie; private Text[] splitPoints; /** * A generic trie node */ static abstract class TrieNode { private int level; TrieNode(int level) { this.level = level; } abstract int findPartition(Text key); abstract void print(PrintStream strm) throws IOException; int getLevel() { return level; } } /** * An inner trie node that contains 256 children based on the next * character. */ static class InnerTrieNode extends TrieNode { private TrieNode[] child = new TrieNode[256]; InnerTrieNode(int level) { super(level); } int findPartition(Text key) { int level = getLevel(); if (key.getLength() <= level) { return child[0].findPartition(key); } return child[key.getBytes()[level]].findPartition(key); } void setChild(int idx, TrieNode child) { this.child[idx] = child; } void print(PrintStream strm) throws IOException { for (int ch = 0; ch < 255; ++ch) { for (int i = 0; i < 2 * getLevel(); ++i) { strm.print(' '); } strm.print(ch); strm.println(" ->"); if (child[ch] != null) { child[ch].print(strm); } } } } /** * A leaf trie node that does string compares to figure out where the given * key belongs between lower..upper. */ static class LeafTrieNode extends TrieNode { int lower; int upper; Text[] splitPoints; LeafTrieNode(int level, Text[] splitPoints, int lower, int upper) { super(level); this.splitPoints = splitPoints; this.lower = lower; this.upper = upper; } int findPartition(Text key) { for (int i = lower; i < upper; ++i) { if (splitPoints[i].compareTo(key) >= 0) { return i; } } return upper; } void print(PrintStream strm) throws IOException { for (int i = 0; i < 2 * getLevel(); ++i) { strm.print(' '); } strm.print(lower); strm.print(", "); strm.println(upper); } } /** * Read the cut points from the given sequence file. * @param fs the file system * @param p the path to read * @param job the job config * @return the strings to split the partitions on * @throws IOException */ private static Text[] readPartitions(FileSystem fs, Path p, JobConf job) throws IOException { SequenceFile.Reader reader = new SequenceFile.Reader(fs, p, job); List<Text> parts = new ArrayList<Text>(); Text key = new Text(); NullWritable value = NullWritable.get(); while (reader.next(key, value)) { parts.add(key); key = new Text(); } reader.close(); return parts.toArray(new Text[parts.size()]); } /** * Given a sorted set of cut points, build a trie that will find the correct * partition quickly. * @param splits the list of cut points * @param lower the lower bound of partitions 0..numPartitions-1 * @param upper the upper bound of partitions 0..numPartitions-1 * @param prefix the prefix that we have already checked against * @param maxDepth the maximum depth we will build a trie for * @return the trie node that will divide the splits correctly */ private static TrieNode buildTrie(Text[] splits, int lower, int upper, Text prefix, int maxDepth) { int depth = prefix.getLength(); if (depth >= maxDepth || lower == upper) { return new LeafTrieNode(depth, splits, lower, upper); } InnerTrieNode result = new InnerTrieNode(depth); Text trial = new Text(prefix); // append an extra byte on to the prefix trial.append(new byte[1], 0, 1); int currentBound = lower; for (int ch = 0; ch < 255; ++ch) { trial.getBytes()[depth] = (byte) (ch + 1); lower = currentBound; while (currentBound < upper) { if (splits[currentBound].compareTo(trial) >= 0) { break; } currentBound += 1; } trial.getBytes()[depth] = (byte) ch; result.child[ch] = buildTrie(splits, lower, currentBound, trial, maxDepth); } // pick up the rest trial.getBytes()[depth] = 127; result.child[255] = buildTrie(splits, currentBound, upper, trial, maxDepth); return result; } public void configure(JobConf job) { try { FileSystem fs = FileSystem.getLocal(job); Path partFile = new Path(TeraInputFormat.PARTITION_FILENAME); splitPoints = readPartitions(fs, partFile, job); trie = buildTrie(splitPoints, 0, splitPoints.length, new Text(), 2); } catch (IOException ie) { throw new IllegalArgumentException("can't read paritions file", ie); } } public TotalOrderPartitioner() { } public int getPartition(Text key, Text value, int numPartitions) { return trie.findPartition(key); } } public static int getOutputReplication(JobConf job) { return job.getInt(OUTPUT_REPLICATION, 1); } public int run(String[] args) throws Exception { LOG.info("starting"); JobConf job = (JobConf) getConf(); Path inputDir = new Path(args[0]); inputDir = inputDir.makeQualified(inputDir.getFileSystem(job)); Path partitionFile = new Path(inputDir, TeraInputFormat.PARTITION_FILENAME); URI partitionUri = new URI(partitionFile.toString() + "#" + TeraInputFormat.PARTITION_FILENAME); TeraInputFormat.setInputPaths(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); job.setJobName("TeraSort"); job.setJarByClass(TeraSort.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); job.setInputFormat(TeraInputFormat.class); job.setOutputFormat(TeraOutputFormat.class); job.setPartitionerClass(TotalOrderPartitioner.class); TeraInputFormat.writePartitionFile(job, partitionFile); DistributedCache.addCacheFile(partitionUri, job); DistributedCache.createSymlink(job); job.setInt("dfs.replication", getOutputReplication(job)); TeraOutputFormat.setFinalSync(job, true); JobClient.runJob(job); LOG.info("done"); return 0; } /** * @param args */ public static void main(String[] args) throws Exception { JobConf jobConf = new JobConf(); //MY CHANGES IN ORDER TO OOZIE CONFIGURATIONS WORK jobConf.addResource(new Path("file:///", System.getProperty("oozie.action.conf.xml"))); //END int res = ToolRunner.run(jobConf, new TeraSort(), args); System.exit(res); } }