blob: 657fc8297c853ecfa0b3313a23eca0564f67d41e [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 java.util.List;
import java.util.Map;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import org.apache.helix.controller.rebalancer.waged.RebalanceAlgorithm;
import org.apache.helix.model.ClusterConfig;
/**
* The factory class to create an instance of {@link ConstraintBasedAlgorithm}
*/
public class ConstraintBasedAlgorithmFactory {
// Evenness constraints tend to score within a smaller range.
// In order to let their scores cause enough difference in the final evaluation result, we need to
// enlarge the overall weight of the evenness constraints compared with the movement constraint.
// TODO: Tune or make the following factor configurable.
private static final int EVENNESS_PREFERENCE_NORMALIZE_FACTOR = 50;
public static RebalanceAlgorithm getInstance(
Map<ClusterConfig.GlobalRebalancePreferenceKey, Integer> preferences) {
List<HardConstraint> hardConstraints = ImmutableList
.of(new FaultZoneAwareConstraint(), new NodeCapacityConstraint(),
new ReplicaActivateConstraint(), new NodeMaxPartitionLimitConstraint(),
new ValidGroupTagConstraint(), new SamePartitionOnInstanceConstraint());
int evennessPreference =
preferences.getOrDefault(ClusterConfig.GlobalRebalancePreferenceKey.EVENNESS, 1)
* EVENNESS_PREFERENCE_NORMALIZE_FACTOR;
int movementPreference =
preferences.getOrDefault(ClusterConfig.GlobalRebalancePreferenceKey.LESS_MOVEMENT, 1);
float evennessRatio = (float) evennessPreference / (evennessPreference + movementPreference);
float movementRatio = (float) movementPreference / (evennessPreference + movementPreference);
Map<SoftConstraint, Float> softConstraints = ImmutableMap.<SoftConstraint, Float>builder()
.put(new PartitionMovementConstraint(), movementRatio)
.put(new InstancePartitionsCountConstraint(), 0.3f * evennessRatio)
.put(new ResourcePartitionAntiAffinityConstraint(), 0.1f * evennessRatio)
.put(new ResourceTopStateAntiAffinityConstraint(), 0.1f * evennessRatio)
.put(new MaxCapacityUsageInstanceConstraint(), 0.5f * evennessRatio).build();
return new ConstraintBasedAlgorithm(hardConstraints, softConstraints);
}
}