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ReservationSystem based on the
ResourceSchedulerActiveUsersManager tracks active users in the system.ReservationAllocation to the plan
QueueManager is malformed.AMRMTokenSecretManager
AMRMTokenSecretManagerdelegation header and
verifying it is a valid token.
ReservationSystem based on the
CapacitySchedulerCapacityScheduler context.PlanFollower.optional int32 am_container_exit_status = 9 [default = -1000];
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.RMAppAttemptStateProto app_attempt_state = 4;
optional bytes app_attempt_tokens = 3;
optional .hadoop.yarn.RMAppStateProto application_state = 5;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional string clientName = 2;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional int64 epoch = 1;
optional .hadoop.yarn.FinalApplicationStatusProto final_application_status = 8;
optional string final_tracking_url = 5;
optional int64 finish_time = 12;
optional int64 finish_time = 7;
optional int64 issueDate = 4;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional int32 masterKeyId = 7 [default = -1];
optional int64 maxDate = 5;
optional int64 memory_seconds = 10;
optional string message = 3;
optional string message = 9;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional string owner = 1;
optional string realUser = 3;
optional int64 renewDate = 8;
optional int64 renewDate = 2;
optional string renewer = 2;
optional int32 sequenceNumber = 6;
optional int64 start_time = 7;
optional int64 start_time = 4;
optional int64 submit_time = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional string user = 3;
optional int64 vcore_seconds = 11;
Schedulables as per
the SchedulingPolicy, to be used later for scheduling decisions.
FSQueues as per the
SchedulingPolicy.
Configuration and ACLs used (zkAcl) for
ZooKeeper access, construct the ACLs for the store's root node.
SchedulerEvent which notifies that a ContainerId
has expired, sent by ContainerAllocationExpirerContainerStatus during exceptional
circumstances.
ResourceManager.activeServices.
RMAppAttempt
RMAppAttempt.
RMApp.
AMRMTokenIdentifier by the RPC layer.
ContainerStatus during exceptional
circumstances.
CSQueue represents a node in the tree of
hierarchical queues in the CapacityScheduler.ReservationAllocation from the plan identified
uniquely by its ReservationId.
FSAppAttempt objects by priority and then by submit time, as
in the default scheduler in Hadoop.ActiveUsersManager for the queue.
optional int32 am_container_exit_status = 9 [default = -1000];
optional int32 am_container_exit_status = 9 [default = -1000];
optional int32 am_container_exit_status = 9 [default = -1000];
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
RMAppAttempt.
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
RMApp can have multiple application attempts RMAppAttempt.
optional .hadoop.yarn.RMAppAttemptStateProto app_attempt_state = 4;
optional .hadoop.yarn.RMAppAttemptStateProto app_attempt_state = 4;
optional .hadoop.yarn.RMAppAttemptStateProto app_attempt_state = 4;
RMAppAttempt.
optional bytes app_attempt_tokens = 3;
optional bytes app_attempt_tokens = 3;
optional bytes app_attempt_tokens = 3;
SchedulingPolicy
applies to
ApplicationAttemptId of the application master.
RMApp.
GetApplicationsRequest.
optional .hadoop.yarn.RMAppStateProto application_state = 5;
optional .hadoop.yarn.RMAppStateProto application_state = 5;
optional .hadoop.yarn.RMAppStateProto application_state = 5;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
ApplicationSubmissionContext for the application
ApplicationId can be obtained from the this
RMApp
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional string clientName = 2;
optional string clientName = 2;
optional string clientName = 2;
optional string clientName = 2;
optional string clientName = 2;
optional string clientName = 2;
Schedulables in that queue.
Resource reserved for a given user at the
specified time
RMApp can have multiple application attempts RMAppAttempt.
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
AMRMTokenSecretManager current Master key
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional int64 epoch = 1;
optional int64 epoch = 1;
optional int64 epoch = 1;
optional .hadoop.yarn.FinalApplicationStatusProto final_application_status = 8;
optional .hadoop.yarn.FinalApplicationStatusProto final_application_status = 8;
optional .hadoop.yarn.FinalApplicationStatusProto final_application_status = 8;
FinishApplicationMasterRequest.setFinalApplicationStatus(FinalApplicationStatus).
optional string final_tracking_url = 5;
optional string final_tracking_url = 5;
optional string final_tracking_url = 5;
optional string final_tracking_url = 5;
optional string final_tracking_url = 5;
optional string final_tracking_url = 5;
optional int64 finish_time = 12;
optional int64 finish_time = 12;
optional int64 finish_time = 12;
optional int64 finish_time = 7;
optional int64 finish_time = 7;
optional int64 finish_time = 7;
RMApp
clusterAvailable and
(queueFairShare - queueUsage) resources that are
applicable to this policy.
RMAppAttempt is running/ran on.
SchedulingPolicy instance corresponding to the passed clazz
optional int64 issueDate = 4;
optional int64 issueDate = 4;
optional int64 issueDate = 4;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional int32 masterKeyId = 7 [default = -1];
optional int32 masterKeyId = 7 [default = -1];
optional int32 masterKeyId = 7 [default = -1];
optional int64 maxDate = 5;
optional int64 maxDate = 5;
optional int64 maxDate = 5;
Resource allocation that can be reserved
in this plan
Resource.
optional int64 memory_seconds = 10;
optional int64 memory_seconds = 10;
optional int64 memory_seconds = 10;
optional string message = 3;
optional string message = 3;
optional string message = 3;
optional string message = 9;
optional string message = 9;
optional string message = 9;
optional string message = 3;
optional string message = 3;
optional string message = 3;
optional string message = 9;
optional string message = 9;
optional string message = 9;
Resource allocation that can be
reserved in this plan
Resource.
PlanFollower on what to do for applications
which are still running when the reservation is expiring (move-to-default
vs kill)
ApplicationSubmissionContext.setApplicationName(String).
ReservationId.
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
AMRMTokenSecretManager next Master key
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
Node information for this node.
optional string owner = 1;
optional string owner = 1;
optional string owner = 1;
optional string owner = 1;
optional string owner = 1;
optional string owner = 1;
Queue.
Plan that has been initialized.
PlanFollower is invoked
ApplicationSubmissionContext.setQueue(String).
Queue that an existing ReservationId is associated
with.
QueueMetrics for the queue in the
ResourceScheduler corresponding to this plan
ResourceScheduler corresponding
to this plan
user.
RMApp ran.
optional string realUser = 3;
optional string realUser = 3;
optional string realUser = 3;
optional string realUser = 3;
optional string realUser = 3;
optional string realUser = 3;
optional int64 renewDate = 8;
optional int64 renewDate = 8;
optional int64 renewDate = 8;
optional int64 renewDate = 2;
optional int64 renewDate = 2;
optional int64 renewDate = 2;
optional string renewer = 2;
optional string renewer = 2;
optional string renewer = 2;
optional string renewer = 2;
optional string renewer = 2;
optional string renewer = 2;
Planner, which will be invoked in response
to unexpected reduction in the resources of this plan
ReservationAgent configured for this plan that is
responsible for optimally placing various reservation requests
ReservationAllocation identified by its
ReservationId
ReservationDefinition submitted by the client
ReservationId that represents the
reservation
ResourceCalculator
RMApp can have multiple application attempts RMAppAttempt.
RMAppAttempt
RMApp.
RMAppAttempt.
optional int32 sequenceNumber = 6;
optional int32 sequenceNumber = 6;
optional int32 sequenceNumber = 6;
SharingPolicy that governs the sharing of the
resources of the plan between its various users
optional int64 start_time = 7;
optional int64 start_time = 7;
optional int64 start_time = 7;
optional int64 start_time = 4;
optional int64 start_time = 4;
optional int64 start_time = 4;
RMAppAttempt.
RMApp.
RMAppAttempt.
optional int64 submit_time = 1;
optional int64 submit_time = 1;
optional int64 submit_time = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
Resource assigned to this
plan (typically will correspond to the absolute capacity of the
corresponding queue).
Resource reserved for all users at the specified
time
optional string user = 3;
optional string user = 3;
optional string user = 3;
optional string user = 3;
optional string user = 3;
optional string user = 3;
optional int64 vcore_seconds = 11;
optional int64 vcore_seconds = 11;
optional int64 vcore_seconds = 11;
ReservationRequest from the deadline moving backward
towards the arrival.user has permission to perform the operation
optional int32 am_container_exit_status = 9 [default = -1000];
optional int32 am_container_exit_status = 9 [default = -1000];
optional int32 am_container_exit_status = 9 [default = -1000];
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.RMAppAttemptStateProto app_attempt_state = 4;
optional .hadoop.yarn.RMAppAttemptStateProto app_attempt_state = 4;
optional .hadoop.yarn.RMAppAttemptStateProto app_attempt_state = 4;
optional bytes app_attempt_tokens = 3;
optional bytes app_attempt_tokens = 3;
optional bytes app_attempt_tokens = 3;
optional .hadoop.yarn.RMAppStateProto application_state = 5;
optional .hadoop.yarn.RMAppStateProto application_state = 5;
optional .hadoop.yarn.RMAppStateProto application_state = 5;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional string clientName = 2;
optional string clientName = 2;
optional string clientName = 2;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional int64 epoch = 1;
optional int64 epoch = 1;
optional int64 epoch = 1;
optional .hadoop.yarn.FinalApplicationStatusProto final_application_status = 8;
optional .hadoop.yarn.FinalApplicationStatusProto final_application_status = 8;
optional .hadoop.yarn.FinalApplicationStatusProto final_application_status = 8;
optional string final_tracking_url = 5;
optional string final_tracking_url = 5;
optional string final_tracking_url = 5;
optional int64 finish_time = 12;
optional int64 finish_time = 12;
optional int64 finish_time = 12;
optional int64 finish_time = 7;
optional int64 finish_time = 7;
optional int64 finish_time = 7;
optional int64 issueDate = 4;
optional int64 issueDate = 4;
optional int64 issueDate = 4;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional int32 masterKeyId = 7 [default = -1];
optional int32 masterKeyId = 7 [default = -1];
optional int32 masterKeyId = 7 [default = -1];
optional int64 maxDate = 5;
optional int64 maxDate = 5;
optional int64 maxDate = 5;
optional int64 memory_seconds = 10;
optional int64 memory_seconds = 10;
optional int64 memory_seconds = 10;
optional string message = 3;
optional string message = 3;
optional string message = 3;
optional string message = 9;
optional string message = 9;
optional string message = 9;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional string owner = 1;
optional string owner = 1;
optional string owner = 1;
optional string realUser = 3;
optional string realUser = 3;
optional string realUser = 3;
optional int64 renewDate = 8;
optional int64 renewDate = 8;
optional int64 renewDate = 8;
optional int64 renewDate = 2;
optional int64 renewDate = 2;
optional int64 renewDate = 2;
optional string renewer = 2;
optional string renewer = 2;
optional string renewer = 2;
optional int32 sequenceNumber = 6;
optional int32 sequenceNumber = 6;
optional int32 sequenceNumber = 6;
optional int64 start_time = 7;
optional int64 start_time = 7;
optional int64 start_time = 7;
optional int64 start_time = 4;
optional int64 start_time = 4;
optional int64 start_time = 4;
optional int64 submit_time = 1;
optional int64 submit_time = 1;
optional int64 submit_time = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional string user = 3;
optional string user = 3;
optional string user = 3;
optional int64 vcore_seconds = 11;
optional int64 vcore_seconds = 11;
optional int64 vcore_seconds = 11;
SchedulingPolicy can be used for a queue at
the specified depth in the hierarchy
node at the
given priority?
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
WeightAdjuster implementation that gives a weight boost to new jobs
for a certain amount of time -- by default, a 3x weight boost for 60 seconds.SchedulingPolicy instance corresponding to the
SchedulingPolicy passed as a string.
Plan, by adding/removing/updating existing
reservations, and adding a subset of the reservation requests in the
contracts parameter.
ResourceScheduler with the Plan(s) and viceversa.ReservationSubmissionRequest.ReservationSystem.SchedulingEditPolicy that is designed to be
paired with the CapacityScheduler.RMNodes whose updates have been
received by the RMApp.
ReservationSystem.
ResourceScheduler.
ReservationDefinition.LeafQueue managed by the
ReservationSystemPlan at the moment.AMRMTokenIdentifier.
RMAPP_ACCEPTED = 4;
RMAPP_FAILED = 9;
RMAPP_FINAL_SAVING = 6;
RMAPP_FINISHED = 8;
RMAPP_FINISHING = 7;
RMAPP_KILLED = 10;
RMAPP_NEW_SAVING = 2;
RMAPP_NEW = 1;
RMAPP_RUNNING = 5;
RMAPP_SUBMITTED = 3;
ResourceManager uses this class to write the information of
RMApp, RMAppAttempt and RMContainer.RMATTEMPT_ALLOCATED_SAVING = 11;
RMATTEMPT_ALLOCATED = 4;
RMATTEMPT_FAILED = 6;
RMATTEMPT_FINAL_SAVING = 14;
RMATTEMPT_FINISHED = 9;
RMATTEMPT_FINISHING = 8;
RMATTEMPT_KILLED = 10;
RMATTEMPT_LAUNCHED_UNMANAGED_SAVING = 12;
RMATTEMPT_LAUNCHED = 5;
RMATTEMPT_NEW = 1;
RMATTEMPT_RECOVERED = 13;
RMATTEMPT_RUNNING = 7;
RMATTEMPT_SCHEDULED = 3;
RMATTEMPT_SUBMITTED = 2;
PolicyProvider for YARN ResourceManager protocols.optional int32 am_container_exit_status = 9 [default = -1000];
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto appAttemptId = 1;
optional .hadoop.yarn.RMAppAttemptStateProto app_attempt_state = 4;
optional bytes app_attempt_tokens = 3;
optional .hadoop.yarn.RMAppStateProto application_state = 5;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationSubmissionContextProto application_submission_context = 2;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional .hadoop.yarn.ApplicationAttemptIdProto attemptId = 1;
optional string clientName = 2;
optional string clientName = 2;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional .hadoop.yarn.MasterKeyProto current_master_key = 1;
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional string diagnostics = 6 [default = "N/A"];
optional int64 epoch = 1;
optional .hadoop.yarn.FinalApplicationStatusProto final_application_status = 8;
optional string final_tracking_url = 5;
optional string final_tracking_url = 5;
optional int64 finish_time = 12;
optional int64 finish_time = 7;
optional int64 issueDate = 4;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional .hadoop.yarn.ContainerProto master_container = 2;
optional int32 masterKeyId = 7 [default = -1];
optional int64 maxDate = 5;
optional int64 memory_seconds = 10;
optional string message = 3;
optional string message = 9;
optional string message = 3;
optional string message = 9;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional .hadoop.yarn.MasterKeyProto next_master_key = 2;
optional string owner = 1;
optional string owner = 1;
Queue.
ApplicationSubmissionContext.
Queue that an existing ReservationId should be
associated with.
optional string realUser = 3;
optional string realUser = 3;
optional int64 renewDate = 8;
optional int64 renewDate = 2;
optional string renewer = 2;
optional string renewer = 2;
ReservationSystem.
ResourceScheduler.
optional int32 sequenceNumber = 6;
optional int64 start_time = 7;
optional int64 start_time = 4;
optional int64 submit_time = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
optional .hadoop.yarn.YARNDelegationTokenIdentifierProto token_identifier = 1;
Resource assigned to this
plan
optional string user = 3;
optional string user = 3;
optional int64 vcore_seconds = 11;
ReservationAllocations for allocations being added to a Plan.PlanFollower to synchronize the specified Plan with
the ResourceScheduler
node at the given Priority.
NodeHeartbeatResponse with the list of containers and
applications to clean up for this node.
ReservationAllocation in the plan.
ReservationAllocation is acceptable according to this
sharing policy.
Plan associated with
the specified Queue or throws an exception message illustrating the
details of any validation check failures
Plan associated with
the specified Queue or throws an exception message illustrating the
details of any validation check failures
Plan associated with
the specified Queue or throws an exception message illustrating the
details of any validation check failures
AccessControlList
NewAppWeightBooster to give higher
weight to new jobs so that short jobs finish faster.hadoop.yarn.ClientToAMTokenIdentifierForTestProtohadoop.yarn.ClientToAMTokenIdentifierForTestProtohadoop.yarn.RMDelegationTokenIdentifierForTestProtohadoop.yarn.RMDelegationTokenIdentifierForTestProtohadoop.yarn.AMRMTokenSecretManagerStateProtohadoop.yarn.AMRMTokenSecretManagerStateProtohadoop.yarn.ApplicationAttemptStateDataProtohadoop.yarn.ApplicationAttemptStateDataProtohadoop.yarn.ApplicationStateDataProtohadoop.yarn.ApplicationStateDataProtohadoop.yarn.EpochProtohadoop.yarn.EpochProtohadoop.yarn.RMAppAttemptStateProtohadoop.yarn.RMAppStateProtohadoop.yarn.RMDelegationTokenIdentifierDataProtohadoop.yarn.RMDelegationTokenIdentifierDataProto
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