Why is map reduce job poinitng to localhost:8080? - hadoop

Question

I am working with Map Reduce job and executing it using ToolRunner's run method.
Here is my code:
public class MaxTemperature extends Configured implements Tool {
public static void main(String[] args) throws Exception {
System.setProperty("hadoop.home.dir", "/");
int exitCode = ToolRunner.run(new MaxTemperature(), args);
System.exit(exitCode);
}
#Override
public int run(String[] args) throws Exception {
if (args.length != 2) {
System.err.println("Usage: MaxTemperature <input path> <output path>");
System.exit(-1);
}
System.out.println("Starting job");
Job job = new Job();
job.setJarByClass(MaxTemperature.class);
job.setJobName("Max temperature");
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setMapperClass(MaxTemperatureMapper.class);
job.setReducerClass(MaxTemperatureReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
int returnValue = job.waitForCompletion(true) ? 0:1;
if(job.isSuccessful()) {
System.out.println("Job was successful");
} else if(!job.isSuccessful()) {
System.out.println("Job was not successful");
}
return returnValue;
}
}
The job executed well as expected. But when i looked into the logs which displays the information abou the job tracking, I found that the Map reduce is pointing to localhost:8080 for the tracking of the job.
Here is the snapshot of logs:
20521 [main] INFO org.apache.hadoop.mapreduce.JobSubmitter - number of splits:1
20670 [main] INFO org.apache.hadoop.mapreduce.JobSubmitter - Submitting tokens for job: job_local1454583076_0001
20713 [main] WARN org.apache.hadoop.conf.Configuration - file:/tmp/hadoop-KV/mapred/staging/KV1454583076/.staging/job_local1454583076_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
20716 [main] WARN org.apache.hadoop.conf.Configuration - file:/tmp/hadoop-KV/mapred/staging/KV1454583076/.staging/job_local1454583076_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
20818 [main] WARN org.apache.hadoop.conf.Configuration - file:/tmp/hadoop-KV/mapred/local/localRunner/KV/job_local1454583076_0001/job_local1454583076_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring.
20820 [main] WARN org.apache.hadoop.conf.Configuration - file:/tmp/hadoop-KV/mapred/local/localRunner/KV/job_local1454583076_0001/job_local1454583076_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring.
**20826 [main] INFO org.apache.hadoop.mapreduce.Job - The url to track the job: http://localhost:8080/**
20827 [main] INFO org.apache.hadoop.mapreduce.Job - Running job: job_local1454583076_0001
20829 [Thread-10] INFO org.apache.hadoop.mapred.LocalJobRunner - OutputCommitter set in config null
So my question is why is map reduce pointing to localhost:8080
The url to track the job: http://localhost:8080/
There is no configuration file or properties file where i manually set this. Also, is it possible that i can change it to some other port? If yes, how can i achieve this?

Answer 1

So the ports are configured in yarn-site.xml : yarn-site.xml
Check : yarn.resourcemanager.webapp.address

Answer 2

We need to change the default configuration and create a Configuration object and set the properties to this configuration object and then create a Job object using this Configuration as follows:
Configuration configuration = getConf();
//configuration.set("fs.defaultFS", "hdfs://192.**.***.2**");
//configuration.set("mapred.job.tracker", "jobtracker:jtPort");
configuration.set("mapreduce.jobtracker.address", "localhost:54311");
configuration.set("mapreduce.framework.name", "yarn");
configuration.set("yarn.resourcemanager.address", "127.0.0.1:8032");
//configuration.set("yarn.resourcemanager.webapp.address", "127.0.0.1:8032");
//Initialize the Hadoop job and set the jar as well as the name of the Job
Job job = new Job(configuration);