blob: 8f41f5e3b343be41c784a148ce61b03ef1c96176 [file] [log] [blame]
package org.apache.helix.controller.rebalancer.waged.constraints;
/*
* 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.
*/
import org.apache.helix.controller.rebalancer.waged.model.AssignableNode;
import org.apache.helix.controller.rebalancer.waged.model.AssignableReplica;
import org.apache.helix.controller.rebalancer.waged.model.ClusterContext;
/**
* The constraint evaluates the score by checking the max used capacity key out of all the capacity
* keys.
* The higher the maximum usage value for the capacity key, the lower the score will be, implying
* that it is that much less desirable to assign anything on the given node.
* It is a greedy approach since it evaluates only on the most used capacity key.
*/
class MaxCapacityUsageInstanceConstraint extends UsageSoftConstraint {
@Override
protected double getAssignmentScore(AssignableNode node, AssignableReplica replica,
ClusterContext clusterContext) {
float estimatedMaxUtilization = clusterContext.getEstimatedMaxUtilization();
float projectedHighestUtilization = node.getProjectedHighestUtilization(replica.getCapacity());
return computeUtilizationScore(estimatedMaxUtilization, projectedHighestUtilization);
}
}