[
https://issues.apache.org/jira/browse/HADOOP-4931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12665690#action_12665690
]
Hemanth Yamijala commented on HADOOP-4931:
------------------------------------------
Vivek, few comments:
- I think monitoring should be with cluster setup rather than with the
map/reduce tutorial. This is because it is more of an admin feature. The user
parameters for memory should be as you have defined in the map/reduce tutorial,
and possibly we can link the monitoring section in the cluster setup guide for
more details.
- "Users can, optionally, indicate the VM task-limit per job." I think we can
use 'specify' instead of indicate, as it seems to describe things better.
- "To enable monitoring for a (TT)" should be "To enable monitoring for a TT"
- Some of the documented variable names and types need to be checked. For e.g.
it is not mapred.tasktracker.virtualmemory.reserved, but
mapred.tasktracker.vmem.reserved. The type is long and not int. I think the
value is in bytes and not KB.
- We should mention that both monitoring and scheduling is only supported on
the Linux platform right now.
- Can we add a note that in monitoring, when a task is killed, a message is
logged so users can see it in the daemon logs.
- Some of the parameters are cluster wide parameters. For e.g. default vmem. It
would be best to call this out explicitly.
- In the capacity scheduler documentation, I think limit and the percentage
pmem in vmem are two separate configuration items where you are treating them
as one.
> Document TaskTracker's memory management functionality and
> CapacityScheduler's memory based scheduling.
> -------------------------------------------------------------------------------------------------------
>
> Key: HADOOP-4931
> URL: https://issues.apache.org/jira/browse/HADOOP-4931
> Project: Hadoop Core
> Issue Type: Bug
> Components: contrib/capacity-sched, mapred
> Reporter: Vinod K V
> Assignee: Vivek Ratan
> Attachments: 4931.1.patch
>
>
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.