org.apache.whirr.examples.HadoopClusterExample.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.whirr.examples;

import org.apache.commons.configuration.PropertiesConfiguration;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hdfs.DistributedFileSystem;
import org.apache.hadoop.hdfs.protocol.FSConstants;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.ClusterStatus;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileOutputFormat;
import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.lib.LongSumReducer;
import org.apache.hadoop.mapred.lib.TokenCountMapper;
import org.apache.whirr.Cluster;
import org.apache.whirr.ClusterController;
import org.apache.whirr.ClusterControllerFactory;
import org.apache.whirr.ClusterSpec;
import org.apache.whirr.service.hadoop.HadoopProxy;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.io.OutputStreamWriter;
import java.io.Writer;
import java.util.Map;

/**
 * This class shows how you should use Whirr to start a Hadoop
 * cluster and submit a mapreduce job.
 *
 * The code was extracted from the Hadoop integration tests.
 */
public class HadoopClusterExample extends Example {

    private static final Logger LOG = LoggerFactory.getLogger(HadoopClusterExample.class);

    @Override
    public String getName() {
        return "hadoop-cluster";
    }

    @Override
    public int main(String[] args) throws Exception {

        /**
         * Assumption: Cloud credentials are available in the current environment
         *
         * export AWS_ACCESS_KEY_ID=...
         * export AWS_SECRET_ACCESS_KEY=...
         *
         * You can find the credentials for EC2 by following this steps:
         * 1. Go to http://aws-portal.amazon.com/gp/aws/developer/account/index.html?action=access-key
         * 2. Log in, if prompted
         * 3. Find your Access Key ID and Secret Access Key in the "Access Credentials"
         * section, under the "Access Keys" tab. You will have to click "Show" to see
         * the text of your secret access key.
         *
         */

        if (!System.getenv().containsKey("AWS_ACCESS_KEY_ID")) {
            LOG.error("AWS_ACCESS_KEY_ID is undefined in the current environment");
            return -1;
        }
        if (!System.getenv().containsKey("AWS_SECRET_ACCESS_KEY")) {
            LOG.error("AWS_SECRET_ACCESS_KEY is undefined in the current environment");
            return -2;
        }

        /**
         * Start by loading cluster configuration file and creating a ClusterSpec object
         *
         * You can find the file in the resources folder.
         */
        ClusterSpec spec = new ClusterSpec(new PropertiesConfiguration("whirr-hadoop-example.properties"));

        /**
         * Create an instance of the generic cluster controller
         */
        ClusterControllerFactory factory = new ClusterControllerFactory();
        ClusterController controller = factory.create(spec.getServiceName());

        /**
         * Start the cluster as defined in the configuration file
         */
        HadoopProxy proxy = null;
        try {
            LOG.info("Starting cluster {}", spec.getClusterName());
            Cluster cluster = controller.launchCluster(spec);

            LOG.info("Starting local SOCKS proxy");
            proxy = new HadoopProxy(spec, cluster);
            proxy.start();

            /**
             * Obtain a Hadoop configuration object and wait for services to start
             */
            Configuration config = getHadoopConfiguration(cluster);
            JobConf job = new JobConf(config, HadoopClusterExample.class);
            JobClient client = new JobClient(job);

            waitToExitSafeMode(client);
            waitForTaskTrackers(client);

            /**
             * Run a simple job to show that the cluster is available for work.
             */

            runWordCountingJob(config);

        } finally {
            /**
             * Stop the proxy and terminate all the cluster instances.
             */
            if (proxy != null) {
                proxy.stop();
            }
            controller.destroyCluster(spec);
            return 0;
        }
    }

    private void runWordCountingJob(Configuration config) throws IOException {
        JobConf job = new JobConf(config, HadoopClusterExample.class);

        FileSystem fs = FileSystem.get(config);

        OutputStream os = fs.create(new Path("input"));
        Writer wr = new OutputStreamWriter(os);
        wr.write("b a\n");
        wr.close();

        LOG.info("Wrote a file containing 'b a\\n'");

        job.setMapperClass(TokenCountMapper.class);
        job.setReducerClass(LongSumReducer.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(LongWritable.class);

        FileInputFormat.setInputPaths(job, new Path("input"));
        FileOutputFormat.setOutputPath(job, new Path("output"));

        JobClient.runJob(job);

        FSDataInputStream in = fs.open(new Path("output/part-00000"));
        BufferedReader reader = new BufferedReader(new InputStreamReader(in));

        String line = reader.readLine();
        int count = 0;
        while (line != null) {
            LOG.info("Line {}: {}", count, line);
            count += 1;
            line = reader.readLine();
        }
        reader.close();
    }

    private Configuration getHadoopConfiguration(Cluster cluster) {
        Configuration conf = new Configuration();
        for (Map.Entry<Object, Object> entry : cluster.getConfiguration().entrySet()) {
            conf.set(entry.getKey().toString(), entry.getValue().toString());
        }
        return conf;
    }

    private void waitToExitSafeMode(JobClient client) throws IOException {
        LOG.info("Waiting to exit safe mode...");
        FileSystem fs = client.getFs();
        DistributedFileSystem dfs = (DistributedFileSystem) fs;
        boolean inSafeMode = true;
        while (inSafeMode) {
            inSafeMode = dfs.setSafeMode(FSConstants.SafeModeAction.SAFEMODE_GET);
            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                break;
            }
        }
        LOG.info("Exited safe mode");
    }

    private void waitForTaskTrackers(JobClient client) throws IOException {
        LOG.info("Waiting for tasktrackers...");
        while (true) {
            ClusterStatus clusterStatus = client.getClusterStatus();
            int taskTrackerCount = clusterStatus.getTaskTrackers();
            if (taskTrackerCount > 0) {
                LOG.info("{} tasktrackers reported in. Continuing.", taskTrackerCount);
                break;
            }
            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                break;
            }
        }
    }

}