Eclipse连接Hadoop2.7.3集群配置及测试

1. 安装Hadoop2.7.3 6节点集群并HA with QJM and RM

node	NN	DN	ZKFC	ZK	JN	RM	NM
master	1		1	1	1	1
salve1	1		1	1	1	1
salve2		1		1	1		1
salve3		1					1
salve4		1					1
salve5		1					1

2. 编译hadoop-eclipse-plugin-2.7.3基于hadoop2x-eclipse-plugin

https://github.com/winghc/hadoop2x-eclipse-plugin

3. Eclipse version: eclipse-java-luna-SR2-win32-x86_64

4. 有用的hadoop2.7.3 hadoop.dll和winutils.exe.zip文件

5.  解压hadoop-2.7.3.tar.gz到windows目录并把步骤4解压后的bin文件夹放到windows下hadoop bin目录中

6. 安装eclipse并放编译好的hadoop-eclipse-plugin-2.7.3进plugin目录

Eclipse 配置如下图

7. 确保集群中master active 并连接hadoop集群，如下连接成功

8. 现在我们可以通过eclipse在windows访问hadoop集群hdfs文件，但是eclipse开发wordcount时仍然不能在windows提交并查看hdfs结果。需要一些额外配置详见如下来实现

9. 编译eclipse wordcount代码

package z_stu;
import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
public class WordCount {
public static class TokenizerMapper extends
Mapper {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(Object key, Text value, Context context)
throws IOException, InterruptedException {
StringTokenizer itr = new StringTokenizer(value.toString());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
context.write(word, one);
}
}
}
public static class IntSumReducer extends
Reducer {
private IntWritable result = new IntWritable();
public void reduce(Text key, Iterable values,
Context context) throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
result.set(sum);
context.write(key, result);
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "word count");
job.setJarByClass(WordCount.class);
job.setMapperClass(TokenizerMapper.class);
job.setCombinerClass(IntSumReducer.class);
job.setReducerClass(IntSumReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}

10. 导入已运行集群etc目录5个文件及修改mapred-site.xml/mapred-site.xml见下图

11. 配置windows hosts文件

12. 配置windows用户及系统环境变量

13. 把worldcount jar导入eclipse

14. 运行

15. 在hdfs/eclipse查看结果