I have setup a distributed environment on Fedora OS to run Hadoop. System Fedora1 is the name node, Fedora2 is Job tracker, Fedora3 and Fedora4 are task trackers. Conf/masters contains the entries Fedora1, Fedors2, and conf/slaves contains the entries Fedora3, Fedora4. When I run the sample wordcount example with single task tracker (either Fedora3 or Fedora4), it works fine and the job completes in a few seconds. However, when I add the other task tracker in conf/slaves, the reducer stop at 16% and the job completes after 13 minutes. The same problem exists in versions 16.4, 17.2.1 and 18.3. The output on the namenode console is shown below:
[r...@fedora1 hadoop-0.17.2.1Cluster]# bin/hadoop jar samples/wordcount.jar org.myorg.WordCount input output 09/02/19 17:43:18 INFO mapred.FileInputFormat: Total input paths to process : 1 09/02/19 17:43:19 INFO mapred.JobClient: Running job: job_200902191741_0001 09/02/19 17:43:20 INFO mapred.JobClient: map 0% reduce 0% 09/02/19 17:43:26 INFO mapred.JobClient: map 50% reduce 0% 09/02/19 17:43:27 INFO mapred.JobClient: map 100% reduce 0% 09/02/19 17:43:35 INFO mapred.JobClient: map 100% reduce 16% 09/02/19 17:56:15 INFO mapred.JobClient: Task Id : task_200902191741_0001_m_000001_0, Status : FAILED Too many fetch-failures 09/02/19 17:56:15 WARN mapred.JobClient: Error reading task outputNo route to host 09/02/19 17:56:18 WARN mapred.JobClient: Error reading task outputNo route to host 09/02/19 17:56:25 INFO mapred.JobClient: map 100% reduce 81% 09/02/19 17:56:26 INFO mapred.JobClient: map 100% reduce 100% 09/02/19 17:56:27 INFO mapred.JobClient: Job complete: job_200902191741_0001 09/02/19 17:56:27 INFO mapred.JobClient: Counters: 16 09/02/19 17:56:27 INFO mapred.JobClient: Job Counters 09/02/19 17:56:27 INFO mapred.JobClient: Launched map tasks=3 09/02/19 17:56:27 INFO mapred.JobClient: Launched reduce tasks=1 09/02/19 17:56:27 INFO mapred.JobClient: Data-local map tasks=3 09/02/19 17:56:27 INFO mapred.JobClient: Map-Reduce Framework 09/02/19 17:56:27 INFO mapred.JobClient: Map input records=5 09/02/19 17:56:27 INFO mapred.JobClient: Map output records=25 09/02/19 17:56:27 INFO mapred.JobClient: Map input bytes=138 09/02/19 17:56:27 INFO mapred.JobClient: Map output bytes=238 09/02/19 17:56:27 INFO mapred.JobClient: Combine input records=25 09/02/19 17:56:27 INFO mapred.JobClient: Combine output records=23 09/02/19 17:56:27 INFO mapred.JobClient: Reduce input groups=23 09/02/19 17:56:27 INFO mapred.JobClient: Reduce input records=23 09/02/19 17:56:27 INFO mapred.JobClient: Reduce output records=23 09/02/19 17:56:27 INFO mapred.JobClient: File Systems 09/02/19 17:56:27 INFO mapred.JobClient: Local bytes read=522 09/02/19 17:56:27 INFO mapred.JobClient: Local bytes written=1177 09/02/19 17:56:27 INFO mapred.JobClient: HDFS bytes read=208 09/02/19 17:56:27 INFO mapred.JobClient: HDFS bytes written=175 Appreciate any help on this. Thanks Jagadesh DISCLAIMER: This email (including any attachments) is intended for the sole use of the intended recipient/s and may contain material that is CONFIDENTIAL AND PRIVATE COMPANY INFORMATION. Any review or reliance by others or copying or distribution or forwarding of any or all of the contents in this message is STRICTLY PROHIBITED. If you are not the intended recipient, please contact the sender by email and delete all copies; your cooperation in this regard is appreciated.
