Hadoop JobClient.runJob: unable to initialize cluster - error message (?) And proposed solution

Question

(Now I solved this problem by adding the dependency indicated at the end of this post, but wondering if there is a better alternative or if I missed something important?)

When you try to start the mapreduce job, the line

JobClient.runJob(conf)

provides the following error stack:

Exception in thread "main" java.io.IOException: Cannot initialize Cluster. Please check your     configuration for mapreduce.framework.name and the correspond server addresses.
    at org.apache.hadoop.mapreduce.Cluster.initialize(Cluster.java:119)
    at org.apache.hadoop.mapreduce.Cluster.<init>(Cluster.java:81)
    at org.apache.hadoop.mapreduce.Cluster.<init>(Cluster.java:74)
    at org.apache.hadoop.mapred.JobClient.init(JobClient.java:465)
    at org.apache.hadoop.mapred.JobClient.<init>(JobClient.java:444)
    at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:826)

My setup is this:

public static void main(String[] args) throws IOException {
    JobConf conf = new JobConf(Reduce.class);          
    conf.set("mapreduce.framework.name","yarn");
    conf.set("mapreduce.jobhistory.address","s17.myserver.com:10020");
    conf.set("mapreduce.jobhistory.webapp.address","s17.myserver.com:19888");

    conf.set("yarn.resourcemanager.address","s6.myserver.com:8032");
    conf.set("yarn.resourcemanager.scheduler.address","s6.myserver.com:8030");
    conf.set("yarn.resourcemanager.resource-tracker.address","s6.myserver.com:8031");
    conf.set("yarn.resourcemanager.admin.address","s6.myserver.com:8033");
    conf.set("yarn.resourcemanager.webapp.address","s6.myserver.com:8088");

    /// error on the following line
    JobClient.runJob(conf);
}

After spending considerable time checking and re-checking my configurations, I was able to solve the problem by adding the following dependency to my project:

Hadoop-MapReduce-client-jobclient

Am I missing something or is the error message just misleading?

Answer 1

. . , Hadoop...