[jira] [Comment Edited] (YARN-3983) Make CapacityScheduler to easier extend application allocation logic

["Jian He (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/YARN-3983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14647150#comment-14647150 ] 

Jian He edited comment on YARN-3983 at 7/30/15 5:13 AM:
--------------------------------------------------------

thanks Wangda ! some comments on the patch
 - ApplicationResourceAllocator -> ContainerAllocator
 - NewContainerAllocator ->  RegularContainerAllocator 
 - internalPreAllocation - > preAllocate
 - move the assingContainersOnNode into internalApplyAllocation
 - internalApplyAllocation -> doAllocation
 - doAllocation -> allocate
 - AllocatorAllocationResult -> ContainerAllocation
 - SKIPPED_APP -> APP_SKIPPED; similarly for others
 - this.resourceToBeAllocated can be  set null; the caller can check whether null or not
{code}
    if (resourceToBeAllocated == null) {
      this.resourceToBeAllocated = Resources.none();
    } else {
      this.resourceToBeAllocated = resourceToBeAllocated;
    }
{code}
- AllocatorAllocationResult#allocateNodeType -> AllocatorAllocationResult#containerNodeType
- Fix FiCaSchedulerApp#assignContainer method format and remove the unused createdContainer parameter
- handleNewContainerReservation does not need be a separate method;
- getCSAssignmentFromAllocateResult can be part of doAllocation.


was (Author: jianhe):
thanks Wangda ! some comments on the patch
 - ApplicationResourceAllocator -> ContainerAllocator
 - NewContainerAllocator ->  RegularContainerAllocator 
 - internalPreAllocation - > preAllocate
 - move the assingContainersOnNode into internalApplyAllocation
 - internalApplyAllocation -> doAllocation
 - doAllocation -> allocate
 - AllocatorAllocationResult -> ContainerAllocation
 - SKIPPED_APP -> SKIP_APP; similarly for others
 - this.resourceToBeAllocated can be  set null; the caller can check whether null or not
{code}
    if (resourceToBeAllocated == null) {
      this.resourceToBeAllocated = Resources.none();
    } else {
      this.resourceToBeAllocated = resourceToBeAllocated;
    }
{code}
- AllocatorAllocationResult#allocateNodeType -> AllocatorAllocationResult#containerNodeType
- Fix FiCaSchedulerApp#assignContainer method format and remove the unused createdContainer parameter
- handleNewContainerReservation does not need be a separate method;
- getCSAssignmentFromAllocateResult can be part of doAllocation.

> Make CapacityScheduler to easier extend application allocation logic
> --------------------------------------------------------------------
>
>                 Key: YARN-3983
>                 URL: https://issues.apache.org/jira/browse/YARN-3983
>             Project: Hadoop YARN
>          Issue Type: Bug
>            Reporter: Wangda Tan
>            Assignee: Wangda Tan
>         Attachments: YARN-3983.1.patch
>
>
> While working on YARN-1651 (resource allocation for increasing container), I found it is very hard to extend existing CapacityScheduler resource allocation logic to support different types of resource allocation.
> For example, there's a lot of differences between increasing a container and allocating a container:
> - Increasing a container doesn't need to check locality delay.
> - Increasing a container doesn't need to build/modify a resource request tree (ANY->RACK/HOST).
> - Increasing a container doesn't need to check allocation/reservation starvation (see {{shouldAllocOrReserveNewContainer}}).
> - After increasing a container is approved by scheduler, it need to update an existing container token instead of creating new container.
> And there're lots of similarities when allocating different types of resources.
> - User-limit/queue-limit will be enforced for both of them.
> - Both of them needs resource reservation logic. (Maybe continuous reservation looking is needed for both of them).
> The purpose of this JIRA is to make easier extending CapacityScheduler resource allocation logic to support different types of resource allocation, make common code reusable, and also better code organization.



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