hbase ClassNotFoundException
Ich möchte ein Kartenreduzierungsbeispiel ausführen:
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);
}
}
}
}
Erstelle eine jar mt.jar mit Eclipse Optionen: jar Datei
Führe die Mapreduce aus:
[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 - Tutorial MultiTableOutputFormat wird gestartet ... 12/06/11 20:14:33 INFO test.TestMultiTable: Berechnungsdatei: /user/zhouhh/cars.csv 12/06/11 20:14:34 INFO input.FileInputFormat: Insgesamt zu verarbeitende Eingabepfade: 1 12/06/11 20:14:34 INFO util .NativeCodeLoader: Die native-hadoop-Bibliothek wurde geladen. 12/06/11 20:14:34 WARN snappy.LoadSnappy: Die native snappy-Bibliothek wurde nicht geladen. 12/06/11 20:14:35 INFO mapred.JobClient: Laufender Job: job_201206111811_0012 12 / 06/11 20:14:36 INFO mapred.JobClient: map 0% redu 0% 12/06/11 20:14:42 INFO mapred.JobClient: Task-ID: attempt_201206111811_0012_m_000002_0, Status: FAILED java.lang.RuntimeException: java. lang.ClassNotFoundException: org.apache.hadoop.hbase.mapreduce.MultiTableOutputFormat bei org.apache.hadoop.conf.Configuration.getClass (Configuration.java:867) bei org.apache.hadoop.mapreduce.JobContext.getOutputFormat : 235) bei org.apache.hadoop. mapred.Task.initialize (Task.java:513) at org.apache.hadoop.mapred.MapTask.run (MapTask.java:353) at org.apache.hadoop.mapred.Child $ 4.run (Child.java:255 ) unter java.security.AccessController.doPrivileged (Native Method) unter javax.security.auth.Subject.doAs (Subject.java:415) unter org.apache.hadoop.security.UserGroupInformation.doAs (UserGroupInformation.java:1121) unter org.apache.hadoop.mapred.Child.main (Child.java:249) Auslöser: java.lang.ClassNotFoundException: org.apache.hadoop.hbase.mapreduce.MultiTableOutputFormat bei java.net.URLClassLoader $ 1.run (URLClassLoader $ 1.roader) java: 366) bei java.net.URLClassLoader $ 1.run (URLClassLoader.java:355) bei java.security.AccessController.doPrivileged (native Methode) bei java.net.URLClassLoader.findClass (URLClassLoader.java:354) bei java. lang.ClassLoader.loadClass (ClassLoader.java:423) bei sun.misc.Launcher $ AppClassLoader.loadClass (Launcher.java:308) bei java.lang.ClassLoader.loadClass (ClassLoader.java:356) bei java.lang.Class .forName0 (native Methode) bei java.lang.Class.forNam e (Class.java:264) bei org.apache.hadoop.conf.Configuration.getClassByName (Configuration.java:820) bei org.apache.hadoop.conf.Configuration.getClass (Configuration.java:865)
cars.csv:
[zhouhh @ Hadoop48 ~] $ cat cars.csv Acura, Integra, Kleiner Acura, Legende, Mittelklasse-Audi, 90, Kompakter Audi, 100, Mittelklasse-BMW, 535i, Mittelklasse-Buick, Jahrhundert, Mittelklasse-Buick, LeSabre, Großer Buick, Roadmaster, Großer Buick, Riviera, mittelgroßer Cadillac, DeVille, großer Cadillac, Sevilla, mittelgroß
MultiTableOutputFormat.class befindet sich in 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/ 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/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
Ich habe viele Methoden ausprobiert, aber den gleichen Fehler immer noch da.
kann mir jemand helfen? Vielen Dank