blob: f70de9ac3c8c4c641e25c6175ec42c020a1518a6 [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.
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import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import org.apache.helix.HelixManagerProperties;
import org.apache.helix.SystemPropertyKeys;
import org.apache.helix.controller.rebalancer.waged.RebalanceAlgorithm;
import org.apache.helix.model.ClusterConfig;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.Maps;
/**
* 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;
private static final Map<String, Float> MODEL = new HashMap<>() {
{
// The default setting
put(PartitionMovementConstraint.class.getSimpleName(), 1f);
put(InstancePartitionsCountConstraint.class.getSimpleName(), 0.3f);
put(ResourcePartitionAntiAffinityConstraint.class.getSimpleName(), 0.1f);
put(ResourceTopStateAntiAffinityConstraint.class.getSimpleName(), 0.1f);
put(MaxCapacityUsageInstanceConstraint.class.getSimpleName(), 0.5f);
}
};
static {
Properties properties =
new HelixManagerProperties(SystemPropertyKeys.SOFT_CONSTRAINT_WEIGHTS).getProperties();
// overwrite the default value with data load from property file
properties.forEach((constraintName, weight) -> MODEL.put(String.valueOf(constraintName),
Float.valueOf(String.valueOf(weight))));
}
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);
List<SoftConstraint> softConstraints = ImmutableList.of(new PartitionMovementConstraint(),
new InstancePartitionsCountConstraint(), new ResourcePartitionAntiAffinityConstraint(),
new ResourceTopStateAntiAffinityConstraint(), new MaxCapacityUsageInstanceConstraint());
Map<SoftConstraint, Float> softConstraintsWithWeight = Maps.toMap(softConstraints, key -> {
String name = key.getClass().getSimpleName();
float weight = MODEL.get(name);
return name.equals(PartitionMovementConstraint.class.getSimpleName()) ? movementRatio * weight
: evennessRatio * weight;
});
return new ConstraintBasedAlgorithm(hardConstraints, softConstraintsWithWeight);
}
}