blob: ca05cf8429dfbd28f6c2610807d4df5c53547e86 [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;
/**
* 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
*/
class InstancePartitionsCountConstraint extends SoftConstraint {
private static final float MAX_SCORE = 1f;
private static final float MIN_SCORE = 0f;
InstancePartitionsCountConstraint() {
super(MAX_SCORE, MIN_SCORE);
}
@Override
protected float getAssignmentScore(AssignableNode node, AssignableReplica replica,
ClusterContext clusterContext) {
float doubleEstimatedMaxPartitionCount = 2 * clusterContext.getEstimatedMaxPartitionCount();
float currentPartitionCount = node.getAssignedReplicaCount();
return Math.max((doubleEstimatedMaxPartitionCount - currentPartitionCount)
/ doubleEstimatedMaxPartitionCount, 0);
}
}