<font face="verdana,sans-serif">I believe this issue is resolved with hit and trial.<br>Had to replace </font>-file dummy.jar with -files dummy.jar<br><font face="verdana,sans-serif"><br clear="all"></font><span style="font-family: verdana,sans-serif;">Sincerely,</span><br style="font-family: verdana,sans-serif;">
<span style="font-family: verdana,sans-serif;">Siddhartha Jonnalagadda, </span><br style="font-family: verdana,sans-serif;"><span style="font-family: verdana,sans-serif;"></span><span style="font-family: verdana,sans-serif;"></span><a style="font-family: verdana,sans-serif;" href="http://sjonnalagadda.wordpress.com" target="_blank">sjonnalagadda.wordpress.com</a><br style="font-family: verdana,sans-serif;">
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<br><br><div class="gmail_quote">On Sat, Jun 4, 2011 at 8:54 PM, Siddhartha Jonnalagadda <span dir="ltr"><<a href="mailto:sid.kgp@gmail.com">sid.kgp@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
<font face="verdana,sans-serif">Thanks Ashish, Ted, Miles and others for the instructions and suggestions on this topic.<br><br>I finished reading the Hadoop book and read the tutorial by Michael Noll.<br><br></font>I was able to reproduce the results in python (<a href="http://www.michael-noll.com/tutorials/writing-an-hadoop-mapreduce-program-in-python/#run-the-mapreduce-job" rel="nofollow" target="_blank">http://www.michael-noll.com/tutorials/writing-an-hadoop-mapreduce-program-in-python/#run-the-mapreduce-job</a>), but created a Mapper and Reducer in Java since all my code is currently in Java.<br>
I first tried this:<br>
echo “foo foo quux labs foo bar quux” |java -cp ~/dummy.jar WCMapper | sort | java -cp ~/dummy.jar WCReducer
<p>It gave the correct output:<br>
labs 1<br>
foo 3<br>
bar 1<br>
quux 2</p>
<p>Then, I installed a single-node cluster in hadoop and tried this:
hadoop jar contrib/streaming/hadoop-streaming-0.20.203.0.jar -mapper
“java -cp ~/dummy.jar WCMapper” -reducer “java -cp ~/dummy.jar
WCReducer” -input gutenberg/* -output gutenberg-output -file dummy.jar
(by tailoring the python command)</p>
<p>This is the error:<br>
hadoop@siddhartha-laptop:/usr/local/hadoop$ hadoop jar
contrib/streaming/hadoop-streaming-0.20.203.0.jar -mapper “java -cp
~/dummy.jar WCMapper” -reducer “java -cp ~/dummy.jar WCReducer” -input
gutenberg/* -output gutenberg-output -file dummy.jar<br>
packageJobJar: [dummy.jar,
/app/hadoop/tmp/hadoop-unjar5573454211442575176/] []
/tmp/streamjob6721719460213928092.jar tmpDir=null<br>
11/06/04 20:47:15 INFO mapred.FileInputFormat: Total input paths to process : 3<br>
11/06/04 20:47:15 INFO streaming.StreamJob: getLocalDirs(): [/app/hadoop/tmp/mapred/local]<br>
11/06/04 20:47:15 INFO streaming.StreamJob: Running job: job_201106031901_0039<br>
11/06/04 20:47:15 INFO streaming.StreamJob: To kill this job, run:<br>
11/06/04 20:47:15 INFO streaming.StreamJob:
/usr/local/hadoop/bin/../bin/hadoop job
-Dmapred.job.tracker=localhost:54311 -kill job_201106031901_0039<br>
11/06/04 20:47:15 INFO streaming.StreamJob: Tracking URL: <a href="http://localhost:50030/jobdetails.jsp?jobid=job_201106031901_0039" rel="nofollow" target="_blank">http://localhost:50030/jobdetails.jsp?jobid=job_201106031901_0039</a><br>
11/06/04 20:47:16 INFO streaming.StreamJob: map 0% reduce 0%<br>
11/06/04 20:48:00 INFO streaming.StreamJob: map 100% reduce 100%<br>
11/06/04 20:48:00 INFO streaming.StreamJob: To kill this job, run:<br>
11/06/04 20:48:00 INFO streaming.StreamJob:
/usr/local/hadoop/bin/../bin/hadoop job
-Dmapred.job.tracker=localhost:54311 -kill job_201106031901_0039<br>
11/06/04 20:48:00 INFO streaming.StreamJob: Tracking URL: <a href="http://localhost:50030/jobdetails.jsp?jobid=job_201106031901_0039" rel="nofollow" target="_blank">http://localhost:50030/jobdetails.jsp?jobid=job_201106031901_0039</a><br>
11/06/04 20:48:00 ERROR streaming.StreamJob: Job not successful. Error: NA<br>
11/06/04 20:48:00 INFO streaming.StreamJob: killJob…<br>
Streaming Job Failed!</p>
<p><b>Any advice?</b></p><font face="verdana,sans-serif">I also tried in vain - hadoop jar contrib/streaming/hadoop-streaming-0.20.203.0.jar -file dummy.jar -mapper "java -cp dummy.jar WCMapper" -reducer "java -cp dummy.jar WCReducer" -input gutenberg/* -output gutenberg-output<br>
<br><br clear="all"></font><div class="im"><span style="font-family: verdana,sans-serif;">Sincerely,</span><br style="font-family: verdana,sans-serif;"><span style="font-family: verdana,sans-serif;">Siddhartha Jonnalagadda, </span><br style="font-family: verdana,sans-serif;">
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<br><br></div><div><div></div><div class="h5"><div class="gmail_quote">On Sun, May 22, 2011 at 3:33 AM, Miles Osborne <span dir="ltr"><<a href="mailto:miles@inf.ed.ac.uk" target="_blank">miles@inf.ed.ac.uk</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
There really is no need to reinvent the wheel. If you want to easily<br>
scale your task then just use Hadoop. Installing it is easy. Look at<br>
the "streaming" interface which will allow you to call your code<br>
directly, without any special libraries etc.<br>
<br>
To give you a feel for how easy it is, this would be the command<br>
(assuming your job is called "parser" and you have loaded your data<br>
onto Hadoop already)<br>
<br>
hadoop jar /usr/local/share/hadoop/contrib/streaming/hadoop-*-streaming.jar<br>
-mapper parser -input myData/* -output myDataOut -file parser -<br>
-numReduceTasks 0<br>
<br>
and that is it. not hard as you can see.<br>
<br>
(home brew approaches are not robust and that is the real magic behind<br>
map Reduce)<br>
<font color="#888888"><br>
Miles<br>
</font><div><br>
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