[jira] Reopened: (HADOOP-2247) Mappers fail easily due to repeated failures

["Arun C Murthy (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HADOOP-2247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Arun C Murthy reopened HADOOP-2247:
-----------------------------------


I realised (a tad late) that this can't be scheduled for 0.15.2 unless we put in HADOOP-1984 into it too... either that or we schedule this for 0.16.0. 

Thoughts?

> Mappers fail easily due to repeated failures
> --------------------------------------------
>
>                 Key: HADOOP-2247
>                 URL: https://issues.apache.org/jira/browse/HADOOP-2247
>             Project: Hadoop
>          Issue Type: Bug
>    Affects Versions: 0.15.0
>         Environment: 1400 Node hadoop cluster
>            Reporter: Srikanth Kakani
>            Assignee: Amar Kamat
>            Priority: Blocker
>             Fix For: 0.15.2
>
>         Attachments: HADOOP-2220.patch, HADOOP-2220.patch, HADOOP-2220.patch
>
>
> Related to HADOOP-2220, problem introduced in HADOOP-1158
> At this scale hardcoding the number of fetch failures to a static number: in this case 3 is never going to work. Although the jobs we are running are loading the systems 3 failures can randomly occur within the lifetime of a map. Even fetching the data can cause enough load for so many failures to occur.
> We believe that number of tasks and size of cluster should be taken into account. Based on which we believe that a ratio between total fetch attempts and total failed attempts should be taken into consideration.
> Given our experience with a task should be declared "Too many fetch failures" based on:
> failures > n /*could be 3*/ && (failures/total attempts) > k% /*could be 30-40%*/
> Basically the first factor is to give some headstart to the second factor, second factor then takes into account the cluster size and the task size.
> Additionally we could take recency into account, say failures and attempts in last one hour. We do not want to make it too small.

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