hadoop Plan 源码
haddop Plan 代码
文件路径：/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/reservation/Plan.java
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.yarn.server.resourcemanager.reservation;
import org.apache.hadoop.yarn.api.records.ReservationDefinition;
/**
* A Plan represents the central data structure of a reservation system that
* maintains the "agenda" for the cluster. In particular, it maintains
* information on how a set of {@link ReservationDefinition} that have been
* previously accepted will be honored.
*
* {@link ReservationDefinition} submitted by the users through the RM public
* APIs are passed to appropriate {@code ReservationAgent}s, which in turn will
* consult the Plan (via the {@link PlanView} interface) and try to determine
* whether there are sufficient resources available in this Plan to satisfy the
* temporal and resource constraints of a {@link ReservationDefinition}. If a
* valid allocation is found the agent will try to store it in the plan (via the
* {@link PlanEdit} interface). Upon success the system return to the user a
* positive acknowledgment, and a reservation identifier to be later used to
* access the reserved resources.
*
* A {@link PlanFollower} will continuously read from the Plan and will
* affect the instantaneous allocation of resources among jobs running by
* publishing the "current" slice of the Plan to the underlying scheduler. I.e.,
* the configuration of queues/weights of the scheduler are modified to reflect
* the allocations in the Plan.
*
* As this interface have several methods we decompose them into three groups:
* {@link PlanContext}: containing configuration type information,
* {@link PlanView} read-only access to the plan state, and {@link PlanEdit}
* write access to the plan state.
*/
public interface Plan extends PlanContext, PlanView, PlanEdit {
}
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