java.net.ConnectException: Your endpoint configuration is wrong; - hadoop

Question

I am running word count program from my windows machine on hadoop cluster which is setup on remote linux machine.
Program is running successfully and I am getting output but I am getting following exception and my waitForCompletion(true) is not returning true.
java.io.IOException: java.net.ConnectException: Your endpoint configuration is wrong; For more details see: http://wiki.apache.org/hadoop/UnsetHostnameOrPort
at org.apache.hadoop.mapred.ClientServiceDelegate.invoke(ClientServiceDelegate.java:345)
at org.apache.hadoop.mapred.ClientServiceDelegate.getJobStatus(ClientServiceDelegate.java:430)
at org.apache.hadoop.mapred.YARNRunner.getJobStatus(YARNRunner.java:870)
at org.apache.hadoop.mapreduce.Job$1.run(Job.java:331)
at org.apache.hadoop.mapreduce.Job$1.run(Job.java:328)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1682)
at org.apache.hadoop.mapreduce.Job.updateStatus(Job.java:328)
at org.apache.hadoop.mapreduce.Job.isComplete(Job.java:612)
at org.apache.hadoop.mapreduce.Job.monitorAndPrintJob(Job.java:1629)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1591)
at practiceHadoop.WordCount$1.run(WordCount.java:60)
at practiceHadoop.WordCount$1.run(WordCount.java:1)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1682)
at practiceHadoop.WordCount.main(WordCount.java:24)
Caused by: java.net.ConnectException: Your endpoint configuration is wrong; For more details see: http://wiki.apache.org/hadoop/UnsetHostnameOrPort
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:831)
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:751)
at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1495)
at org.apache.hadoop.ipc.Client.call(Client.java:1437)
at org.apache.hadoop.ipc.Client.call(Client.java:1347)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:228)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116)
at com.sun.proxy.$Proxy16.getJobReport(Unknown Source)
at org.apache.hadoop.mapreduce.v2.api.impl.pb.client.MRClientProtocolPBClientImpl.getJobReport(MRClientProtocolPBClientImpl.java:133)
at sun.reflect.GeneratedMethodAccessor2.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.mapred.ClientServiceDelegate.invoke(ClientServiceDelegate.java:326)
... 17 more
Caused by: java.net.ConnectException: Connection refused: no further information
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531)
at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:685)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:788)
at org.apache.hadoop.ipc.Client$Connection.access$3500(Client.java:409)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:1552)
at org.apache.hadoop.ipc.Client.call(Client.java:1383)
... 26 more
My MapReduce Program which I run on eclipse (windows)
UserGroupInformation ugi = UserGroupInformation.createRemoteUser("admin");
ugi.doAs(new PrivilegedExceptionAction<Void>() {
public Void run() throws Exception {
try {
Configuration configuration = new Configuration();
configuration.set("yarn.resourcemanager.address", "192.168.33.75:50001"); // see step 3
configuration.set("mapreduce.framework.name", "yarn");
configuration.set("yarn.app.mapreduce.am.env",
"HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0");
configuration.set("mapreduce.map.env", "HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0");
configuration.set("mapreduce.reduce.env", "HADOOP_MAPRED_HOME=/home/admin/hadoop-3.1.0");
configuration.set("fs.defaultFS", "hdfs://192.168.33.75:54310"); // see step 2
configuration.set("mapreduce.app-submission.cross-platform", "true");
configuration.set("mapred.remote.os", "Linux");
configuration.set("yarn.application.classpath",
"{{HADOOP_CONF_DIR}},{{HADOOP_COMMON_HOME}}/share/hadoop/common/*,{{HADOOP_COMMON_HOME}}/share/hadoop/common/lib/*,"
+ " {{HADOOP_HDFS_HOME}}/share/hadoop/hdfs/*,{{HADOOP_HDFS_HOME}}/share/hadoop/hdfs/lib/*,"
+ "{{HADOOP_MAPRED_HOME}}/share/hadoop/mapreduce/*,{{HADOOP_MAPRED_HOME}}/share/hadoop/mapreduce/lib/*,"
+ "{{HADOOP_YARN_HOME}}/share/hadoop/yarn/*,{{HADOOP_YARN_HOME}}/share/hadoop/yarn/lib/*");
configuration.set("mlv_construct", "min");
configuration.set("column_name", "TotalCost");
Job job = Job.getInstance(configuration);
job.setJar("C:\\Users\\gauravp\\Desktop\\WordCountProgam.jar");
job.setJarByClass(WordCount.class); // use this when uploaded the Jar to the server and
// running the job directly and locally on the server
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setMapperClass(MapForWordCount.class);
job.setReducerClass(ReduceForWordCount.class);
Path input = new Path("/user/admin/wordCountInput.txt");
Path output = new Path("/user/admin/output");
FileSystem fs = FileSystem.get(configuration);
fs.delete(output);
FileInputFormat.addInputPath(job, input);
FileOutputFormat.setOutputPath(job, output);
if (job.waitForCompletion(true)) {
System.out.println("Job done...");
}
One more observation :
My connection from windows machine to remote linux machine ports (54310 and 50001) vanish after some time.
HDFS port connection status
yarn port connection status
I am stuck here from last 5 days. Please help me. Thanks in advance.

Answer 1

Check if your ResourceManager and NodeManager services are up and running using jps command. In my case only NameNode and DataNode services were up and above were not running. So when running a INSERT query on Hive, when it tried to run map reduce job it was failing with above error.
Starting yarn services mentioned above fixed the issue for me.