Hi,
 
I am trying to setup hadoop on two machines running solaris 10. After
fixing the scripts in bin to conform to bourne shell scripting standard,
I was able to start the jobtracker and tasktrackers. I am not using
HDFS. All the paths are common on all the machines as they are available
via NFS. I have made sure that the tmp directories are mapped to
seperate locations for both the machines. When I execute the wordcount
example, I get following errors 
 
2007-06-14 16:51:57,605 WARN org.apache.hadoop.mapred.TaskTracker:
getMapOutput(task_0001_m_000018_0,5) failed :
java.io.EOFException
        at java.io.DataInputStream.readFully(DataInputStream.java:178)
        at java.io.DataInputStream.readLong(DataInputStream.java:380)
        at
org.apache.hadoop.mapred.TaskTracker$MapOutputServlet.doGet(TaskTracker.
java:1911)
        at javax.servlet.http.HttpServlet.service(HttpServlet.java:689)
        at javax.servlet.http.HttpServlet.service(HttpServlet.java:802)
        at
org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:427)
        at
org.mortbay.jetty.servlet.WebApplicationHandler.dispatch(WebApplicationH
andler.java:475)
        at
org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:567)
        at org.mortbay.http.HttpContext.handle(HttpContext.java:1565)
        at
org.mortbay.jetty.servlet.WebApplicationContext.handle(WebApplicationCon
text.java:635)
        at org.mortbay.http.HttpContext.handle(HttpContext.java:1517)
        at org.mortbay.http.HttpServer.service(HttpServer.java:954)
        at
org.mortbay.http.HttpConnection.service(HttpConnection.java:814)
        at
org.mortbay.http.HttpConnection.handleNext(HttpConnection.java:981)
        at
org.mortbay.http.HttpConnection.handle(HttpConnection.java:831)
        at
org.mortbay.http.SocketListener.handleConnection(SocketListener.java:244
)
        at
org.mortbay.util.ThreadedServer.handle(ThreadedServer.java:357)
        at
org.mortbay.util.ThreadPool$PoolThread.run(ThreadPool.java:534)

 
These errors come when map task status is 100% and reduce is 76%. After
this the the map % drops to 95 and again both increase. This happens a
few times and then the job completes.
I have increased the number of tasks per node as well as the tasks per
job. Any idea what the problem is?
Please let me know if you need more information.
 
Thanks,
Neeraj
 

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