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From "Jonathan Hung (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-5734) OrgQueue for easy CapacityScheduler queue configuration management
Date Wed, 25 Jan 2017 01:53:27 GMT

    [ https://issues.apache.org/jira/browse/YARN-5734?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15837017#comment-15837017

Jonathan Hung commented on YARN-5734:

[~leftnoteasy] thanks for the review. Regarding 1 and 3, potentially there are queue admins
(but not yarn admins) that will change scheduler configuration. In this case the AdminService
will not check (yarn admin) acls, it should delegate it to ConfigurationMutationPolicy. With
this in mind do you still think AdminService is the right place to put the change configuration

For 3, I will add javadocs and a default implementation of the ConfigurationMutationPolicy
(which will just check against queue admin acls). (YARN-5954)

Regarding 2, do you mean a separate configuration provider (MutableConfigurationManager) for
CS, and {{yarn.resourcemanager.configuration.provider-class}} for everything else? As it is
now, I made a mistake in the current patch, we can actually take -Provider out of RMContext,
since {{yarn.resourcemanager.configuration.provider-class}} is MutableConfigurationManager,
so we can just access it via rmContext.getConfigurationProvider(). If we make MutableConfigurationManager
part of CS only, the ClientRMService/AdminService still needs to access it somehow. Also to
avoid having to change it in other places, currently MutableConfigurationManager overrides
LocalConfigurationProvider, so the getConfigurationInputStream behavior in all other non-CS
places should be the same. As long as MutableConfigurationManager does not overwrite this
functionality we can load stuff from {{yarn-site}}, etc in the same way. (Also in the future
if we add store functionality to other non-CS configurations we can just do this through the
configuration provider.) Thoughts on this?

> 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, OrgQueueAPI-BasedSchedulerConfigurationManagement_v2.pdf,
OrgQueue_Design_v0.pdf, YARN-5734-YARN-5734.001.patch
> 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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