Recover the deprecated mapred.tasktracker.tasks.maximum
-------------------------------------------------------
Key: HADOOP-3420
URL: https://issues.apache.org/jira/browse/HADOOP-3420
Project: Hadoop Core
Issue Type: Improvement
Components: conf
Affects Versions: 0.16.4, 0.16.3, 0.16.2, 0.16.1, 0.16.0
Reporter: Iván de Prado
https://issues.apache.org/jira/browse/HADOOP-1274 replaced the configuration
attribute mapred.tasktracker.tasks.maximum with
mapred.tasktracker.map.tasks.maximum and
mapred.tasktracker.reduce.tasks.maximum because it sometimes make sense to have
more mappers than reducers assigned to each node.
But deprecating mapred.tasktracker.tasks.maximum could be an issue in some
situations. For example, when more than one job is running, reduce tasks + map
tasks eat too many resources. For avoid this cases an upper limit of tasks is
needed. So I propose to have the configuration parameter
mapred.tasktracker.tasks.maximum as a total limit of task. It is compatible
with mapred.tasktracker.map.tasks.maximum and
mapred.tasktracker.reduce.tasks.maximum.
As an example:
I have a 8 cores, 4GB, 4 nodes cluster. I want to limit the number of tasks per
node to 8. 8 tasks per nodes would use almost 100% cpu and 4 GB of the memory.
I have set:
mapred.tasktracker.map.tasks.maximum -> 8
mapred.tasktracker.reduce.tasks.maximum -> 8
1) When running only one Job at the same time, it works smoothly: 8 task
average per node, no swapping in nodes, almost 4 GB of memory usage and 100% of
CPU usage.
2) When running more than one Job at the same time, it works really bad: 16
tasks average per node, 8 GB usage of memory (4 GB swapped), and a lot of
System CPU usage.
So, I think that have sense to restore the old attribute
mapred.tasktracker.tasks.maximum making it compatible with the new ones.
Task trackers could not:
- run more than mapred.tasktracker.tasks.maximum tasks per node,
- run more than mapred.tasktracker.map.tasks.maximum mappers per node,
- run more than mapred.tasktracker.reduce.tasks.maximum reducers per node.
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.