报错信息和日志信息如下图，求牛人看看什么问题

[程猿薇茑]

我是写了一个wordcount程序，把处理完的数据写到hbase中(我已经在hadoo的hadoop-env.sh文件中export了HBase相关类)
请大家帮忙看个错误，两个图分别是提交到hadoop运行程序时报的错，和日志。日志上报的那个TableOutputFormat类我其实已经把相应的jar包路径写到hadoop-env.sh中的HADOOP_CLASSPATH中了。

[程猿薇茑]

求顶！！！！！！！！！！！

[小白鸽]

集群的每台机器都配了 hadoop-env.sh吗

[程猿薇茑]

这是代码

package hbaseExec3;

import java.io.IOException;
import java.util.StringTokenizer;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.client.HBaseAdmin;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.mapreduce.TableOutputFormat;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
//import org.apache.hadoop.mapreduce.Mapper.Context;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;

public class WordCountHbase extends Configured implements Tool {

	public static class MyMapper extends
			Mapper<Object, Text, Text, IntWritable> {
		private final static IntWritable one = new IntWritable(1);
		private Text word = new Text();

		@Override
		protected void setup(Context context) throws IOException,
				InterruptedException {
			// TODO Auto-generated method stub
			super.setup(context);
		}

		@Override
		protected void map(Object key, Text value, Context context)
				throws IOException, InterruptedException {
			System.out.println("开始执行map函数");
			StringTokenizer tokenizer = new StringTokenizer(value.toString());
			while (tokenizer.hasMoreTokens()) {
				word.set(tokenizer.nextToken());
				context.write(word, one);
			}
		}

	}

	public static class MyReducer extends
			TableReducer<Text, IntWritable, NullWritable> {

		@Override
		protected void reduce(Text key, Iterable<IntWritable> values,
				Context context) throws IOException, InterruptedException {
			System.out.println("开始执行reduce函数");
			int sum = 0;
			for (IntWritable val : values) {
				sum += val.get();
			}

			// Put实例化,每个词存一行
			Put put = new Put(Bytes.toBytes(key.toString()));
			// 列族为content，列修饰符为count，列值为数目
			put.add(Bytes.toBytes("content"), Bytes.toBytes("count"),
					Bytes.toBytes(String.valueOf(sum)));

			context.write(NullWritable.get(), put);
		}

	}

	// 创建HBase数据表
	public static void createHBaseTable(String tableName) throws Exception {
		// 创建表描述
		HTableDescriptor htd = new HTableDescriptor(tableName);
		// 创建列族描述
		HColumnDescriptor col = new HColumnDescriptor("content");
		htd.addFamily(col);

		// 配置HBase
		Configuration conf = HBaseConfiguration.create();
		conf.set("hbase.zookeeper.quorum", "172.16.122.212");
		conf.set("hbase.zookeeper.property.clientPort", "2181");

		HBaseAdmin hAdmin = new HBaseAdmin(conf);
		if (hAdmin.tableExists(tableName)) {
			System.out.println("该数据表已经存在，正在重新创建...");
			hAdmin.disableTable(tableName);
			hAdmin.deleteTable(tableName);
		}
		System.out.println("创建表：" + tableName);
		hAdmin.createTable(htd);
	}

	@Override
	public int run(String[] args) throws Exception {
		// TODO Auto-generated method stub
		String tableName="wordcount";
		// 第一步：创建数据库表
		WordCountHbase.createHBaseTable(tableName);
		// 第二步：进行MapReduce处理
		// 配置MapReduce
		Configuration conf = new Configuration();
		// 这几句话很关键
		conf.set("mapred.job.tracker", "172.16.122.212:9001");
		//conf.set("fs.defaultFS", "hdfs://hadoop:9000");
		conf.set("hbase.zookeeper.quorum", "172.16.122.212");
		conf.set("hbase.zookeeper.property.clientPort", "2181");
		conf.set("mapreduce.framework.name", "yarn");
		conf.set(TableOutputFormat.OUTPUT_TABLE, tableName);
		
		Job job = new Job(conf, "WordCount-hbase");
		job.setJarByClass(WordCountHbase.class);
		// 设置Map和Reduce处理类
		job.setMapperClass(MyMapper.class);
		job.setReducerClass(MyReducer.class);
		
		// 设置输出类型
		job.setMapOutputKeyClass(Text.class);
		job.setMapOutputValueClass(IntWritable.class);
		
		// 设置输入和输出格式
		job.setInputFormatClass(TextInputFormat.class);
		job.setOutputFormatClass(TableOutputFormat.class);
		
		// 设置输入目录
		FileInputFormat.addInputPath(job, new Path(args[0]));
		//FileOutputFormat.setOutputPath(job, new Path(args[1]));
		
		System.exit(job.waitForCompletion(true)?0:1);
		return 0;
	}

	
	public static void main(String[] args) throws Exception {
		System.out.println("开始执行main函数");
		int res = ToolRunner.run(new Configuration(), new WordCountHbase(),
				args);
		System.exit(res);
	}

}

[郗晓勇]

http://goobbe.com/questions/6137102/java-lang-classnotfoundexception-org-apache-hadoop-hbase-mapreduce-tableoutputfo http://goobbe.com/questions/6137102/java-lang-classnotfoundexception-org-apache-hadoop-hbase-mapreduce-tableoutputfo

[程猿薇茑]

引用 3 楼 baifanwudi 的回复:

集群的每台机器都配了 hadoop-env.sh吗

我是虚拟机里装的，就装了一台虚拟机

[程猿薇茑]

引用 5 楼 beijiguangyong 的回复:

http://goobbe.com/questions/6137102/java-lang-classnotfoundexception-org-apache-hadoop-hbase-mapreduce-tableoutputfo http://goobbe.com/questions/6137102/java-lang-classnotfoundexception-org-apache-hadoop-hbase-mapreduce-tableoutputfo

感觉还是用CDH好，不会有hadoop，hbase版本不兼容问题