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java连接hdfs ha和调用mapreduce jar示例

程序员文章站 2024-02-25 08:07:10
java api 连接 hdfs ha 复制代码 代码如下:public static void main(string[] args) {  configura...

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);