signed

QiShunwang

“诚信为本、客户至上”

java连接hdfs ha和调用mapreduce jar示例

2021/6/9 3:19:22   来源:

Java API 连接 HDFS HA

复制代码 代码如下:

public static void main(String[] args) {
  Configuration conf = new Configuration();
  conf.set("fs.defaultFS", "hdfs://hadoop2cluster");
  conf.set("dfs.nameservices", "hadoop2cluster");
  conf.set("dfs.ha.namenodes.hadoop2cluster", "nn1,nn2");
  conf.set("dfs.namenode.rpc-address.hadoop2cluster.nn1", "10.0.1.165:8020");
  conf.set("dfs.namenode.rpc-address.hadoop2cluster.nn2", "10.0.1.166:8020");
  conf.set("dfs.client.failover.proxy.provider.hadoop2cluster",        "org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider");
  FileSystem fs = null;
  try {
     fs = FileSystem.get(conf);
     FileStatus[] list = fs.listStatus(new Path("/"));
     for (FileStatus file : list) {
       System.out.println(file.getPath().getName());
      }
  } catch (IOException e) {
     e.printStackTrace();
  } finally{
      try {
        fs.close();
      } catch (IOException e) {
        e.printStackTrace();
      }
  }
}

Java API调用MapReduce程序

复制代码 代码如下:

String[] args = new String[24];
args[0] = “/usr/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar";
args[1] = "wordcount";
args[2] = "-D";
args[3] = "yarn.resourcemanager.address=10.0.1.165:8032";
args[4] = "-D";
args[5] = "yarn.resourcemanager.scheduler.address=10.0.1.165:8030";
args[6] = "-D";
args[7] = "fs.defaultFS=hdfs://hadoop2cluster/";
args[8] = "-D";
args[9] = "dfs.nameservices=hadoop2cluster";
args[10] = "-D";
args[11] = "dfs.ha.namenodes.hadoop2cluster=nn1,nn2";
args[12] = "-D";
args[13] = "dfs.namenode.rpc-address.hadoop2cluster.nn1=10.0.1.165:8020";
args[14] = "-D";
args[15] = "dfs.namenode.rpc-address.hadoop2cluster.nn2=10.0.1.166:8020";
args[16] = "-D";
args[17] = "dfs.client.failover.proxy.provider.hadoop2cluster=org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider";
args[18] = "-D";
args[19] = "fs.hdfs.impl=org.apache.hadoop.hdfs.DistributedFileSystem";
args[20] = "-D";
args[21] = "mapreduce.framework.name=yarn";
args[22] = "/input";
args[23] = "/out01";
RunJar.main(args);

您可能感兴趣的文章:
  • Java基础之MapReduce框架总结与扩展知识点
  • java8 Stream API之reduce使用说明
  • JAVA8 stream中三个参数的reduce方法对List进行分组统计操作
  • Java 8系列之Stream中万能的reduce用法说明
  • java8 利用reduce实现将列表中的多个元素的属性求和并返回操作
  • Java/Web调用Hadoop进行MapReduce示例代码
  • java 矩阵乘法的mapreduce程序实现
  • Java函数式编程(七):MapReduce
  • java8新特性之stream流中reduce()求和知识总结