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From "Vinod K V (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-4665) Add preemption to the fair scheduler
Date Tue, 31 Mar 2009 05:05:51 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-4665?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12693990#action_12693990

Vinod K V commented on HADOOP-4665:

Sorry for the late reply, was on a long weekend.

Your explanation w.r.t the min-shares of pools clarified my doubts. Thanks!

I have discussed the overall approach of this patch with Hemant, Sreekanth and Rahul offline.
We concluded on one slight improvement - the preemption patch of capacity-scheduler treats
the preemption timeouts to be a kind of SLA for the pool/queue and so leaves a couple of heartbeats
for slots to become free after it preempts a task. Can we do something like that here? - Essentially,
the proposal is to preempt a task when a job's fairshare/minshare are not met within PREEMPTION_TIMEOUT-
2/3 heartbeats.

Few other code comments I have:
 - Can we make PREEMPTION_INTERVAL configurable?
 - The check as to whether FairScheduler will do preemption(preemptionEnabled && !useFifo)
is done deep inside - all the stats are calculated and then only preemption is skipped if
not needed. Can we take this check, may be, to the beginning of preemptTasksIfNecessary()
method or inside update() method itself.
 - The class FairSchedulerEventLog can just be package-private. So do all the methods inside
- init, log, shutdown and isEnabled - they don't need to be public as of now.

Again, sorry for the late reply. Appreciate your patience.

> Add preemption to the fair scheduler
> ------------------------------------
>                 Key: HADOOP-4665
>                 URL: https://issues.apache.org/jira/browse/HADOOP-4665
>             Project: Hadoop Core
>          Issue Type: New Feature
>          Components: contrib/fair-share
>            Reporter: Matei Zaharia
>            Assignee: Matei Zaharia
>             Fix For: 0.21.0
>         Attachments: fs-preemption-v0.patch, hadoop-4665-v1.patch, hadoop-4665-v1b.patch,
hadoop-4665-v2.patch, hadoop-4665-v3.patch, hadoop-4665-v4.patch
> Task preemption is necessary in a multi-user Hadoop cluster for two reasons: users might
submit long-running tasks by mistake (e.g. an infinite loop in a map program), or tasks may
be long due to having to process large amounts of data. The Fair Scheduler (HADOOP-3746) has
a concept of guaranteed capacity for certain queues, as well as a goal of providing good performance
for interactive jobs on average through fair sharing. Therefore, it will support preempting
under two conditions:
> 1) A job isn't getting its _guaranteed_ share of the cluster for at least T1 seconds.
> 2) A job is getting significantly less than its _fair_ share for T2 seconds (e.g. less
than half its share).
> T1 will be chosen smaller than T2 (and will be configurable per queue) to meet guarantees
quickly. T2 is meant as a last resort in case non-critical jobs in queues with no guaranteed
capacity are being starved.
> When deciding which tasks to kill to make room for the job, we will use the following
> - Look for tasks to kill only in jobs that have more than their fair share, ordering
these by deficit (most overscheduled jobs first).
> - For maps: kill tasks that have run for the least amount of time (limiting wasted time).
> - For reduces: similar to maps, but give extra preference for reduces in the copy phase
where there is not much map output per task (at Facebook, we have observed this to be the
main time we need preemption - when a job has a long map phase and its reducers are mostly
sitting idle and filling up slots).

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