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From "Wangda Tan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-5734) OrgQueue for easy CapacityScheduler queue configuration management
Date Fri, 09 Dec 2016 18:50:58 GMT

    [ https://issues.apache.org/jira/browse/YARN-5734?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15736005#comment-15736005

Wangda Tan commented on YARN-5734:

bq. f the reinitialization fails (i.e. scheduler.reinitialize(X+1)), then we will need to
call scheduler.reinitialize(X). In this case we need to call reinitialize twice. Is this acceptable?

If everything works as expected, reinitialize failure will not change queue hierarchy. If
there's any cases which makes queue structure still get updated when reinitialize fails. Queue
configs could be turned to a limbo state, we need fix such cases separately. 

bq. I think we will still need some sort of PluggablePolicy,... 
Make sense

bq. Not sure if this is what you meant ..
I'm not sure what is the interface design, but I think the logic you described should be roughly
same as what in my mind. We can check detailed logic while doing patch review.

bq. I am thinking we can add a scheduler specific ConfigurationProvider option in yarn-site.xml
Instead of specifying ConfigurationProvider, I think it might be easier for end user to specify
config like {{...scheduler.dynamic-queue-config.enabled}}. We can use different ConfigurationProvider
implementation depends on value of dynamic-config.enabled.

bq. Not sure what you mean by loading configuration file from xml while setting the cluster,
can you elaborate on that? Do you mean if store is enabled and the admin wants to wipe it
and load a new conf from a file into the store? Do we plan on supporting that?
If we allow intialize store-based config based on capacity-scheduler.xml, this is not required.

> OrgQueue for easy CapacityScheduler queue configuration management
> ------------------------------------------------------------------
>                 Key: YARN-5734
>                 URL: https://issues.apache.org/jira/browse/YARN-5734
>             Project: Hadoop YARN
>          Issue Type: New Feature
>            Reporter: Min Shen
>            Assignee: Min Shen
>         Attachments: OrgQueue_API-Based_Config_Management_v1.pdf, OrgQueue_Design_v0.pdf
> The current xml based configuration mechanism in CapacityScheduler makes it very inconvenient
to apply any changes to the queue configurations. We saw 2 main drawbacks in the file based
configuration mechanism:
> # This makes it very inconvenient to automate queue configuration updates. For example,
in our cluster setup, we leverage the queue mapping feature from YARN-2411 to route users
to their dedicated organization queues. It could be extremely cumbersome to keep updating
the config file to manage the very dynamic mapping between users to organizations.
> # Even a user has the admin permission on one specific queue, that user is unable to
make any queue configuration changes to resize the subqueues, changing queue ACLs, or creating
new queues. All these operations need to be performed in a centralized manner by the cluster
> With these current limitations, we realized the need of a more flexible configuration
mechanism that allows queue configurations to be stored and managed more dynamically. We developed
the feature internally at LinkedIn which introduces the concept of MutableConfigurationProvider.
What it essentially does is to provide a set of configuration mutation APIs that allows queue
configurations to be updated externally with a set of REST APIs. When performing the queue
configuration changes, the queue ACLs will be honored, which means only queue administrators
can make configuration changes to a given queue. MutableConfigurationProvider is implemented
as a pluggable interface, and we have one implementation of this interface which is based
on Derby embedded database.
> This feature has been deployed at LinkedIn's Hadoop cluster for a year now, and have
gone through several iterations of gathering feedbacks from users and improving accordingly.
With this feature, cluster administrators are able to automate lots of thequeue configuration
management tasks, such as setting the queue capacities to adjust cluster resources between
queues based on established resource consumption patterns, or managing updating the user to
queue mappings. We have attached our design documentation with this ticket and would like
to receive feedbacks from the community regarding how to best integrate it with the latest
version of YARN.

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