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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
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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;
/**
* Evaluate by instance's current partition count versus estimated max partition count
* Intuitively, Encourage the assignment if the instance's occupancy rate is below average;
* Discourage the assignment if the instance's occupancy rate is above average
* The normalized score will be within [0, 1]
*/
class InstancePartitionsCountConstraint extends UsageSoftConstraint {
@Override
protected double getAssignmentScore(AssignableNode node, AssignableReplica replica,
ClusterContext clusterContext) {
int estimatedMaxPartitionCount = clusterContext.getEstimatedMaxPartitionCount();
int currentPartitionCount = node.getAssignedReplicaCount();
return computeUtilizationScore(estimatedMaxPartitionCount, currentPartitionCount);
}
}