hbase ClassNotFoundException

Chcę uruchomić przykład zmniejszania mapy:

    package my.test;

import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;

import org.apache.commons.cli.BasicParser;
import org.apache.commons.cli.CommandLine;
import org.apache.commons.cli.CommandLineParser;
import org.apache.commons.cli.HelpFormatter;
import org.apache.commons.cli.Options;
import org.apache.commons.cli.ParseException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.MultiTableOutputFormat;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;




    /**
     * This class demonstrates the use of the MultiTableOutputFormat class.
     * Using this class we can write the output of a Hadoop map reduce program
     * into different HBase table.
     *
     * @version 1.0 19 Jul 2011
     * @author  Wildnove
     */
    public class TestMultiTable extends Configured implements Tool {

        private static final Logger LOG = Logger.getLogger(TestMultiTable.class);
        private static final String CMDLINE = "com.wildnove.tutorial.TestMultiTable <inputFile> [-n name] [-s]";

        public static void main(String[] args) throws Exception {
            int res = ToolRunner.run(new TestMultiTable(), args);
            System.exit(res);
        }

        @Override
        public int run(String[] args) throws Exception {
            HelpFormatter help = new HelpFormatter();
            Options options = new Options();
            options.addOption("h", "help", false, "print program usage");
            options.addOption("n", "name", true, "sets job name");
            CommandLineParser parser = new BasicParser();
            CommandLine cline;
            try {
                cline = parser.parse(options, args);
                args = cline.getArgs();
                if (args.length < 1) {
                    help.printHelp(CMDLINE, options);
                    return -1;
                }
            } catch (ParseException e) {
                System.out.println(e);
                e.printStackTrace();
                help.printHelp(CMDLINE, options);
                return -1;
            }

            String name = null;
            try {
                if (cline.hasOption('n'))
                    name = cline.getOptionValue('n');
                else
                    name = "wildnove.com - Tutorial MultiTableOutputFormat ";
                Configuration conf = getConf();
                FileSystem fs = FileSystem.get(conf);
                Path inputFile = new Path(fs.makeQualified(new Path(args[0])).toUri().getPath());
                if (!getMultiTableOutputJob(name, inputFile).waitForCompletion(true))
                    return -1;
            } catch (Exception e) {
                System.out.println(e);
                e.printStackTrace();
                help.printHelp(CMDLINE, options);
                return -1;
            }
            return 0;
        }

        /**
         * Here we configure our job to use MultiTableOutputFormat class as map reduce output.
         * Note that we use 1 reduce only for debugging purpose, but you can use more than 1 reduce.
         */
        private Job getMultiTableOutputJob(String name, Path inputFile) throws IOException {
            if (LOG.isInfoEnabled()) {
                LOG.info(name + " starting...");
                LOG.info("computing file: " + inputFile);
            }
            Job job = new Job(getConf(), name);
            job.setJarByClass(TestMultiTable.class);
            job.setMapperClass(Mapper.class);
            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            FileInputFormat.addInputPath(job, inputFile);
            job.setOutputFormatClass(MultiTableOutputFormat.class);
            job.setNumReduceTasks(1);
            job.setReducerClass(Reducer.class);

            return job;
        }

        private static class Mapper extends org.apache.hadoop.mapreduce.Mapper<LongWritable, Text, Text, Text> {

            private Text outKey = new Text();
            private Text outValue = new Text();

            /**
             * The map method splits the csv file according to this structure
             * brand,model,size (e.g. Cadillac,Seville,Midsize) and output all data using
             * brand as key and the couple model,size as value.
             */
            @Override
            public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
                String[] valueSplitted = value.toString().split(",");
                if (valueSplitted.length == 3) {
                    String brand = valueSplitted[0];
                    String model = valueSplitted[1];
                    String size = valueSplitted[2];

                    outKey.set(brand);
                    outValue.set(model + "," + size);
                    context.write(outKey, outValue);
                }
            }
        }

        private static class Reducer extends org.apache.hadoop.mapreduce.Reducer<Text, Text, ImmutableBytesWritable, Writable> {

            /**
             * The reduce method fill the TestCars table with all csv data,
             * compute some counters and save those counters into the TestBrandsSizes table.
             * So we use two different HBase table as output for the reduce method.
             */
            @Override
            protected void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
                Map<String, Integer> statsSizeCounters = new HashMap<String, Integer>();
                String brand = key.toString();
                // We are receiving all models,size grouped by brand.
                for (Text value : values) {
                    String[] valueSplitted = value.toString().split(",");
                    if (valueSplitted.length == 2) {
                        String model = valueSplitted[0];
                        String size = valueSplitted[1];

                        // Fill the TestCars table
                        ImmutableBytesWritable putTable = new ImmutableBytesWritable(Bytes.toBytes("TestCars"));
                        byte[] putKey = Bytes.toBytes(brand + "," + model);
                        byte[] putFamily = Bytes.toBytes("Car");
                        Put put = new Put(putKey);
                        // qualifier brand
                        byte[] putQualifier = Bytes.toBytes("brand");
                        byte[] putValue = Bytes.toBytes(brand);
                        put.add(putFamily, putQualifier, putValue);
                        // qualifier model
                        putQualifier = Bytes.toBytes("model");
                        putValue = Bytes.toBytes(model);
                        put.add(putFamily, putQualifier, putValue);
                        // qualifier size
                        putQualifier = Bytes.toBytes("size");
                        putValue = Bytes.toBytes(size);
                        put.add(putFamily, putQualifier, putValue);
                        context.write(putTable, put);

                        // Compute some counters: number of different sizes for a brand
                        if (!statsSizeCounters.containsKey(size))
                            statsSizeCounters.put(size, 1);
                        else
                            statsSizeCounters.put(size, statsSizeCounters.get(size) + 1);
                    }
                }

                for (Entry<String, Integer> entry : statsSizeCounters.entrySet()) {
                    // Fill the TestBrandsSizes table
                    ImmutableBytesWritable putTable = new ImmutableBytesWritable(Bytes.toBytes("TestBrandsSizes"));
                    byte[] putKey = Bytes.toBytes(brand);
                    byte[] putFamily = Bytes.toBytes("BrandSizes");
                    Put put = new Put(putKey);
                    // We can use as qualifier the sizes
                    byte[] putQualifier = Bytes.toBytes(entry.getKey());
                    byte[] putValue = Bytes.toBytes(entry.getValue());
                    put.add(putFamily, putQualifier, putValue);
                    context.write(putTable, put);
                }
            }
        }
    }

kompilacja do jar mt.jar z opcjami eclipse: plik jar

uruchom mapreduce:

[zhouhh @ Hadoop48 ~] $ HADOOP_CLASSPATH =${HBASE_HOME}/bin/hbase classpath:${HADOOP_HOME}/bin/hadoop classpath $ {HADOOP_HOME} / bin / hadoop jar mt.jar cars.csv 12/06/11 20:14:33 INFO test.TestMultiTable: wildnove.com - Samouczek MultiTableOutputFormat rozpoczynający się ... 12/06/11 20:14:33 INFO test.TestMultiTable: plik obliczeniowy: /user/zhouhh/cars.csv 12/06/11 20:14:34 INFO input.FileInputFormat: Całkowita liczba ścieżek wejściowych do przetworzenia: 1 12/06/11 20:14:34 INFO util .NativeCodeLoader: Załadowana biblioteka native-hadoop 12/06/11 20:14:34 WARN snappy.LoadSnappy: Snappy rodzima biblioteka nie załadowana 12/06/11 20:14:35 INFO mapred.JobClient: Uruchomione zadanie: job_201206111811_0012 12 / 06/11 20:14:36 ​​INFO mapred.JobClient: mapa 0% zmniejsza 0% 12/06/11 20:14:42 INFO mapred.JobClient: Identyfikator zadania: Próba_201206111811_0012_m_000002_0, Status: NIEudana java.lang.RuntimeException: java. lang.ClassNotFoundException: org.apache.hadoop.hbase.mapreduce.MultiTableOutputFormat w org.apache.hadoop.conf.Configuration.getClass (Configuration.java:867) w org.apache.hadoop.mapreduce.JobContext.getOutputFormatClass (JobContext.java : 235) na org.apache.hadoop. mapred.Task.initialize (Task.java:513) w org.apache.hadoop.mapred.MapTask.run (MapTask.java:353) na org.apache.hadoop.mapred.Child $ 4.run (Child.java:255 ) w java.security.AccessController.doPrivileged (metoda natywna) w javax.security.auth.Subject.doAs (Subject.java:415) w org.apache.hadoop.security.UserGroupInformation.doAs (UserGroupInformation.java:1121) w org.apache.hadoop.mapred.Child.main (Child.java:249) Przyczyna: java.lang.ClassNotFoundException: org.apache.hadoop.hbase.mapreduce.MultiTableOutputFormat w java.net.URLClassLoader $ 1.run (URLClassLoader. java: 366) w java.net.URLClassLoader $ 1.run (URLClassLoader.java:355) w java.security.AccessController.doPrivileged (metoda natywna) w java.net.URLClassLoader.findClass (URLClassLoader.java:354) w java. lang.ClassLoader.loadClass (ClassLoader.java:423) w sun.misc.Launcher $ AppClassLoader.loadClass (Launcher.java:308) w java.lang.ClassLoader.loadClass (ClassLoader.java:356) w java.lang.Class .forName0 (metoda rodzima) w java.lang.Class.forNam e (Class.java:264) w org.apache.hadoop.conf.Configuration.getClassByName (Configuration.java:820) w org.apache.hadoop.conf.Configuration.getClass (Configuration.java:865)

cars.csv:

[zhouhh @ Hadoop48 ~] $ cat cars.csv Acura, Integra, Small Acura, Legend, średniej wielkości Audi, 90, Compact Audi, 100, średniej wielkości BMW, 535i, Midsize Buick, Century, Midsize Buick, LeSabre, Large Buick, Roadmaster, Duży Buick, Riviera, średniej wielkości Cadillac, DeVille, duży Cadillac, Sewilla, średniej wielkości

MultiTableOutputFormat.class znajduje się w Hbase.0.94.jar

[zhouhh @ Hadoop48 ~] $ echo $ HADOOP_CLASSPATH | tr ':' 'n' | grep hbase /home/zhouhh/hbase-0.94.0/conf /home/zhouhh/hbase-0.94.0 /home/zhouhh/hbase-0.94.0/hbase-0.94.0.jar /home/zhouhh/hbase-0.94 .0 / hbase-0.94.0-tests.jar /home/zhouhh/hbase-0.94.0/lib/activation-1.1.jar /home/zhouhh/hbase-0.94.0/lib/asm-3.1.jar / home /zhouhh/hbase-0.94.0/lib/avro-1.5.3.jar /home/zhouhh/hbase-0.94.0/lib/avro-ipc-1.5.3.jar /home/zhouhh/hbase-0.94.0 /lib/commons-beanutils-1.7.0.jar /home/zhouhh/hbase-0.94.0/lib/commons-beanutils-core-1.8.0.jar /home/zhouhh/hbase-0.94.0/lib/commons -cli-1.2.jar /home/zhouhh/hbase-0.94.0/lib/commons-codec-1.4.jar /home/zhouhh/hbase-0.94.0/lib/commons-collections-3.2.1.jar / home /zhouhh/hbase-0.94.0/lib/commons-configuration-1.6.jar /home/zhouhh/hbase-0.94.0/lib/commons-digester-1.8.jar /home/zhouhh/hbase-0.94.0/lib /commons-el-1.0.jar /home/zhouhh/hbase-0.94.0/lib/commons-httpclient-3.1.jar /home/zhouhh/hbase-0.94.0/lib/commons-io-2.1.jar / home /zhouhh/hbase-0.94.0/lib/commons-lang-2.5.jar /home/zhouhh/hbase-0.94.0/lib/commons-logging-1.1.1 .jar /home/zhouhh/hbase-0.94.0/lib/commons-math-2.1.jar /home/zhouhh/hbase-0.94.0/lib/commons-net-1.4.1.jar / home / zhouhh / hbase -0.94.0 / lib / core-3.1.1.jar /home/zhouhh/hbase-0.94.0/lib/guava-r09.jar /home/zhouhh/hbase-0.94.0/lib/hadoop-core-1.0 .2.jar /home/zhouhh/hbase-0.94.0/lib/high-scale-lib-1.1.1.jar /home/zhouhh/hbase-0.94.0/lib/httpclient-4.1.2.jar / home /zhouhh/hbase-0.94.0/lib/httpcore-4.1.3.jar /home/zhouhh/hbase-0.94.0/lib/jackson-core-asl-1.5.5.jar /home/zhouhh/hbase-0.94 .0 / lib / jackson-jaxrs-1.5.5.jar /home/zhouhh/hbase-0.94.0/lib/jackson-mapper-asl-1.5.5.jar /home/zhouhh/hbase-0.94.0/lib /jackson-xc-1.5.5.jar /home/zhouhh/hbase-0.94.0/lib/jamon-runtime-2.3.1.jar /home/zhouhh/hbase-0.94.0/lib/jasper-compiler-5.5 .23.jar /home/zhouhh/hbase-0.94.0/lib/jasper-runtime-5.5.23.jar /home/zhouhh/hbase-0.94.0/lib/jaxb-api-2.1.jar / home / zhouhh /hbase-0.94.0/lib/jaxb-impl-2.1.12.jar /home/zhouhh/hbase-0.94.0/lib/jersey-core-1.4.jar /home/zhouhh/hbase-0.94.0/lib /jersey-json-1.4.jar / home / zhou hh / hbase-0.94.0 / lib / jersey-server-1.4.jar /home/zhouhh/hbase-0.94.0/lib/jettison-1.1.jar /home/zhouhh/hbase-0.94.0/lib/jetty- 6.1.26.jar /home/zhouhh/hbase-0.94.0/lib/jetty-util-6.1.26.jar /home/zhouhh/hbase-0.94.0/lib/jruby-complete-1.6.5.jar / home / zhouhh / hbase-0.94.0 / lib / jsp-2.1-6.1.14.jar /home/zhouhh/hbase-0.94.0/lib/jsp-api-2.1-6.1.14.jar / home / zhouhh / hbase-0.94.0 / lib / libthrift-0.8.0.jar /home/zhouhh/hbase-0.94.0/lib/log4j-1.2.16.jar /home/zhouhh/hbase-0.94.0/lib/netty- 3.2.4.Final.jar /home/zhouhh/hbase-0.94.0/lib/protobuf-java-2.4.0a.jar /home/zhouhh/hbase-0.94.0/lib/servlet-api-2.5-6.1. 14.jar /home/zhouhh/hbase-0.94.0/lib/slf4j-api-1.5.8.jar /home/zhouhh/hbase-0.94.0/lib/snappy-java-1.0.3.2.jar / home / zhouhh / hbase-0.94.0 / lib / stax-api-1.0.1.jar /home/zhouhh/hbase-0.94.0/lib/velocity-1.7.jar /home/zhouhh/hbase-0.94.0/lib/ xmlenc-0.52.jar /home/zhouhh/hbase-0.94.0/lib/zookeeper-3.4.3.jar /home/zhouhh/hbase-0.94.0/conf /home/zhouhh/hbase-0.94.0 / home / zhouhh / hbase-0.94.0 / hbase-0.94.0.ja r /home/zhouhh/hbase-0.94.0/hbase-0.94.0-tests.jar /home/zhouhh/hbase-0.94.0/lib/activation-1.1.jar /home/zhouhh/hbase-0.94.0/ lib / asm-3.1.jar /home/zhouhh/hbase-0.94.0/lib/avro-1.5.3.jar /home/zhouhh/hbase-0.94.0/lib/avro-ipc-1.5.3.jar / home / zhouhh / hbase-0.94.0 / lib / commons-beanutils-1.7.0.jar /home/zhouhh/hbase-0.94.0/lib/commons-beanutils-core-1.8.0.jar / home / zhouhh / hbase-0.94.0 / lib / commons-cli-1.2.jar /home/zhouhh/hbase-0.94.0/lib/commons-codec-1.4.jar /home/zhouhh/hbase-0.94.0/lib/commons- collections-3.2.1.jar /home/zhouhh/hbase-0.94.0/lib/commons-configuration-1.6.jar /home/zhouhh/hbase-0.94.0/lib/commons-digester-1.8.jar / home / zhouhh / hbase-0.94.0 / lib / commons-el-1.0.jar /home/zhouhh/hbase-0.94.0/lib/commons-httpclient-3.1.jar /home/zhouhh/hbase-0.94.0/lib/ commons-io-2.1.jar /home/zhouhh/hbase-0.94.0/lib/commons-lang-2.5.jar /home/zhouhh/hbase-0.94.0/lib/commons-logging-1.1.1.jar / home / zhouhh / hbase-0.94.0 / lib / commons-math-2.1.jar /home/zhouhh/hbase-0.94.0/lib/commons-net-1.4.1.jar / home / zhouhh / hbase-0.94.0 / lib / core-3.1.1.jar /home/zhouhh/hbase-0.94.0/lib/guava-r09.jar /home/zhouhh/hbase-0.94.0/lib/ hadoop-core-1.0.2.jar /home/zhouhh/hbase-0.94.0/lib/high-scale-lib-1.1.1.jar /home/zhouhh/hbase-0.94.0/lib/httpclient-4.1. 2.jar /home/zhouhh/hbase-0.94.0/lib/httpcore-4.1.3.jar /home/zhouhh/hbase-0.94.0/lib/jackson-core-asl-1.5.5.jar / home / zhouhh / hbase-0.94.0 / lib / jackson-jaxrs-1.5.5.jar /home/zhouhh/hbase-0.94.0/lib/jackson-mapper-asl-1.5.5.jar / home / zhouhh / hbase- 0.94.0 / lib / jackson-xc-1.5.5.jar /home/zhouhh/hbase-0.94.0/lib/jamon-runtime-2.3.1.jar /home/zhouhh/hbase-0.94.0/lib/ kompilator-jasper-5.5.23.jar /home/zhouhh/hbase-0.94.0/lib/jasper-runtime-5.5.23.jar /home/zhouhh/hbase-0.94.0/lib/jaxb-api-2.1. jar /home/zhouhh/hbase-0.94.0/lib/jaxb-impl-2.1.12.jar /home/zhouhh/hbase-0.94.0/lib/jersey-core-1.4.jar / home / zhouhh / hbase- 0.94.0 / lib / jersey-json-1.4.jar /home/zhouhh/hbase-0.94.0/lib/jersey-server-1.4.jar /home/zhouhh/hbase-0.94.0/lib/jettison-1.1. jar / home / zhouhh / hbase-0 .94.0 / lib / jetty-6.1.26.jar /home/zhouhh/hbase-0.94.0/lib/jetty-util-6.1.26.jar /home/zhouhh/hbase-0.94.0/lib/jruby-complete -1.6.5.jar /home/zhouhh/hbase-0.94.0/lib/jsp-2.1-6.1.14.jar /home/zhouhh/hbase-0.94.0/lib/jsp-api-2.1-6.1.14 .jar /home/zhouhh/hbase-0.94.0/lib/libthrift-0.8.0.jar /home/zhouhh/hbase-0.94.0/lib/log4j-1.2.16.jar /home/zhouhh/hbase-0.94 .0 / lib / netty-3.2.4.Final.jar /home/zhouhh/hbase-0.94.0/lib/protobuf-java-2.4.0a.jar /home/zhouhh/hbase-0.94.0/lib/servlet -api-2.5-6.1.14.jar /home/zhouhh/hbase-0.94.0/lib/slf4j-api-1.5.8.jar /home/zhouhh/hbase-0.94.0/lib/snappy-java-1.0 .3.2.jar /home/zhouhh/hbase-0.94.0/lib/stax-api-1.0.1.jar /home/zhouhh/hbase-0.94.0/lib/velocity-1.7.jar / home / zhouhh / hbase -0.94.0 / lib / xmlenc-0.52.jar /home/zhouhh/hbase-0.94.0/lib/zookeeper-3.4.3.jar

Próbowałem wielu metod, ale ten sam błąd nadal istnieje.

ktoś może mi pomóc? dzięki

questionAnswers(3)

yourAnswerToTheQuestion