Re: shuffle access error to class o.a.h.m.JobInitializationPoller$JobInitializationThread

2011-07-14 Thread Yuri Pradkin
This problem didn't show when I ran tests, which led me to conclude that it's rooted in my local setup. The problem magically disappeared after I cleaned up the classpath a bit (removing fault injection jars and a few others). This experience taught me a few things: 1. Fault injection compile

[jira] [Created] (MAPREDUCE-2686) NPE while requesting info for a non-existing job

2011-07-14 Thread Ramya Sunil (JIRA)
NPE while requesting info for a non-existing job Key: MAPREDUCE-2686 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2686 Project: Hadoop Map/Reduce Issue Type: Bug Components:

[jira] [Created] (MAPREDUCE-2685) Hadoop-Mapreduce-trunk build is failing

2011-07-14 Thread Devaraj K (JIRA)
Hadoop-Mapreduce-trunk build is failing --- Key: MAPREDUCE-2685 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2685 Project: Hadoop Map/Reduce Issue Type: Bug Affects Versions: 0.23.0

Hadoop-Mapreduce-trunk - Build # 737 - Still Failing

2011-07-14 Thread Apache Jenkins Server
See https://builds.apache.org/job/Hadoop-Mapreduce-trunk/737/ ### ## LAST 60 LINES OF THE CONSOLE ### [...truncated 235897 lines...] [junit]0.95:96670 [junit

Re: shuffle access error to class o.a.h.m.JobInitializationPoller$JobInitializationThread

2011-07-14 Thread yuri
Hi Arun, Before I file a jira, I want to make sure it's not a simple misconfiguration on my part, or a "wrong" jar in the classpath, or something else obvious to current developers. I was running a streaming job, here's all I could find in the tasktracker's log: 2011-07-14 07:24:20,307 WARN or

[jira] [Resolved] (MAPREDUCE-2684) Job Tracker can starve reduces with very large input.

2011-07-14 Thread Robert Joseph Evans (JIRA)
[ https://issues.apache.org/jira/browse/MAPREDUCE-2684?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Robert Joseph Evans resolved MAPREDUCE-2684. Resolution: Duplicate > Job Tracker can starve reduces with very large