Thursday, September 19, 2013

Too many fetch-failures, hadoop mapreduce job, hadoop mapreduce Too many fetch-failures

This may happen due to following reasons:

1. Wrong DNS Entry, Hosts file entries, 

Description:

Nodes are not able to communicate with each other, so check if nodes where this error comes you can ping or  nslookup to that node

 2. Tasktracker http thread

Description:

Check of the value of this tag in mapreduce-site.xml, if it is lower make it somewhat higer around 100.

Posted by at
Labels: , , , , ,

No comments:

Post a Comment

Thank you for Commenting Will reply soon ......

Subscribe to: Post Comments (Atom)

Featured Posts

#Linux Commands Unveiled: #date, #uname, #hostname, #hostid, #arch, #nproc

 #Linux Commands Unveiled: #date, #uname, #hostname, #hostid, #arch, #nproc Linux is an open-source operating system that is loved by millio...

  • Hadoop : Hive
    Hadoop is a batch processing system, and Hadoop jobs tend to have high latency and incur substantial overhead in job submission and sched...
  • Print a triangle using shell script
    Print numbers in order : #!/bin/bash for i in $(seq 0 4) do for j in  $(seq $i -1 0) do     echo -n $j done echo done Will gi...