option "-D mapred.tasktracker.map.tasks.maximum=1" does not work when no of mappers is bigger than no of nodes - always spawns 2 mapers/node --------------------------------------------------------------------------------------------------------------------------------------------
Key: MAPREDUCE-1781 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1781 Project: Hadoop Map/Reduce Issue Type: Bug Components: contrib/streaming Affects Versions: 0.20.2 Environment: Debian Lenny x64, and Hadoop 0.20.2, 2GB RAM Reporter: Tudor Vlad Hello I am a new user of Hadoop and I have some trouble using Hadoop Streaming and the "-D mapred.tasktracker.map.tasks.maximum" option. I'm experimenting with an unmanaged application (C++) which I want to run over several nodes in 2 scenarios 1) the number of maps (input splits) is equal to the number of nodes 2) the number of maps is a multiple of the number of nodes (5, 10, 20, ... Initially, when running the tests in scenario 1 I would sometimes get 2 process/node on half the nodes. However I fixed this by adding the optin "-D mapred.tasktracker.map.tasks.maximum=1", so everything works fine. In the case of scenario 2 (more maps than nodes) this directive no longer works, always obtaining 2 processes/node. I tested the even with putting maximum=5 and I still get 2 processes/node. The entire command I use is: /usr/bin/time --format="-duration:\t%e |\t-MFaults:\t%F |\t-ContxtSwitch:\t%w" \ /opt/hadoop/bin/hadoop jar /opt/hadoop/contrib/streaming/hadoop-0.20.2-streaming.jar \ -D mapred.tasktracker.map.tasks.maximum=1 \ -D mapred.map.tasks=30 \ -D mapred.reduce.tasks=0 \ -D io.file.buffer.size=5242880 \ -libjars "/opt/hadoop/contrib/streaming/hadoop-7debug.jar" \ -input input/test \ -output out1 \ -mapper "/opt/jobdata/script_1k" \ -inputformat "me.MyInputFormat" Why is this happening and how can I make it work properly (i.e. be able to limit exactly how many mappers I can have at 1 time per node)? Thank you in advance -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.