远程提交Map/Reduce任务

1. 将开发好MR代码打包成jar。添加到distributed cache中。

 

Xml代码  

1. bin/hadoop fs -copyFromLocal /root/stat-analysis-mapred-1.0-SNAPSHOT.jar /user/root/lib  

bin/hadoop fs -copyFromLocal /root/stat-analysis-mapred-1.0-SNAPSHOT.jar /user/root/lib

 

2.  在服务器端创建和你客户端一模一样的用户。创建目录 /tmp/hadoop-root/stagging/用户 

 

3.  客户端提交job的代码

 

Java代码  

1. Configuration conf = HBaseConfiguration.create();   
2.         conf.set("hbase.zookeeper.quorum", "node.tracker1");   
3.         conf.set("fs.default.name", "hdfs://node.tracker1:9000/hbase");   
4.         conf.set("mapred.job.tracker", "node.tracker1:9001");   
5.           
6.         Job job = new Job(conf, "Hbase_FreqCounter1");   
7.          
8.         job.setJarByClass(FreqCounter1.class);   
9.         Scan scan = new Scan();   
10.         String columns = "details"; // comma seperated  
11.         scan.addFamily(Bytes.toBytes(columns));   
12.         scan.setFilter(new FirstKeyOnlyFilter());   
13.         TableMapReduceUtil.initTableMapperJob("access_logs", scan, Mapper1.class, ImmutableBytesWritable.class,   
14.                 IntWritable.class, job);   
15.         TableMapReduceUtil.initTableReducerJob("summary_user", Reducer1.class, job);   
16. /           TableMapReduceUtil.addDependencyJars(job);   
17.            
18.         DistributedCache.addFileToClassPath(new Path("hdfs://node.tracker1:9000/user/root/lib/stat-analysis-mapred-1.0-SNAPSHOT.jar"),job.getConfiguration());   
19.         job.submit();  

Configuration conf = HBaseConfiguration.create();        conf.set("hbase.zookeeper.quorum", "node.tracker1");        conf.set("fs.default.name", "hdfs://node.tracker1:9000/hbase");        conf.set("mapred.job.tracker", "node.tracker1:9001");               Job job = new Job(conf, "Hbase_FreqCounter1");              job.setJarByClass(FreqCounter1.class);        Scan scan = new Scan();        String columns = "details"; // comma seperated        scan.addFamily(Bytes.toBytes(columns));        scan.setFilter(new FirstKeyOnlyFilter());        TableMapReduceUtil.initTableMapperJob("access_logs", scan, Mapper1.class, ImmutableBytesWritable.class,                IntWritable.class, job);        TableMapReduceUtil.initTableReducerJob("summary_user", Reducer1.class, job);//        TableMapReduceUtil.addDependencyJars(job);                DistributedCache.addFileToClassPath(new Path("hdfs://node.tracker1:9000/user/root/lib/stat-analysis-mapred-1.0-SNAPSHOT.jar"),job.getConfiguration());        job.submit();

 

 

4.运行java application，登陆node的MR管理页面，可以看到