Min Shen created YARN-5734:
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Summary: 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
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 administrators.
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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