| 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.RebalanceAlgorithm; |
| 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.ClusterModel; |
| import org.apache.helix.controller.rebalancer.waged.model.OptimalAssignment; |
| import org.apache.helix.model.Partition; |
| import org.apache.helix.model.ResourceAssignment; |
| import org.mockito.Mockito; |
| |
| import java.util.Collections; |
| import java.util.HashMap; |
| import java.util.Iterator; |
| import java.util.Map; |
| |
| import static org.mockito.Mockito.when; |
| |
| /** |
| * A mock up rebalance algorithm for unit test. |
| * Note that the mock algorithm won't propagate the existing assignment to the output as a real |
| * algorithm will do. This is for the convenience of testing. |
| */ |
| public class MockRebalanceAlgorithm implements RebalanceAlgorithm { |
| Map<String, ResourceAssignment> _resultHistory = Collections.emptyMap(); |
| |
| @Override |
| public OptimalAssignment calculate(ClusterModel clusterModel) { |
| // If no predefined rebalance result setup, do card dealing. |
| Map<String, ResourceAssignment> result = new HashMap<>(); |
| Iterator<AssignableNode> nodeIterator = |
| clusterModel.getAssignableNodes().values().stream().sorted().iterator(); |
| for (String resource : clusterModel.getAssignableReplicaMap().keySet()) { |
| Iterator<AssignableReplica> replicaIterator = |
| clusterModel.getAssignableReplicaMap().get(resource).stream().sorted().iterator(); |
| while (replicaIterator.hasNext()) { |
| AssignableReplica replica = replicaIterator.next(); |
| if (!nodeIterator.hasNext()) { |
| nodeIterator = clusterModel.getAssignableNodes().values().stream().sorted().iterator(); |
| } |
| AssignableNode node = nodeIterator.next(); |
| |
| // Put the assignment |
| ResourceAssignment assignment = result.computeIfAbsent(replica.getResourceName(), |
| resourceName -> new ResourceAssignment(resourceName)); |
| Partition partition = new Partition(replica.getPartitionName()); |
| if (assignment.getReplicaMap(partition).isEmpty()) { |
| assignment.addReplicaMap(partition, new HashMap<>()); |
| } |
| assignment.getReplicaMap(partition).put(node.getInstanceName(), replica.getReplicaState()); |
| } |
| } |
| |
| _resultHistory = result; |
| |
| // Mock the return value for supporting test. |
| OptimalAssignment optimalAssignment = Mockito.mock(OptimalAssignment.class); |
| when(optimalAssignment.getOptimalResourceAssignment()).thenReturn(result); |
| return optimalAssignment; |
| } |
| |
| public Map<String, ResourceAssignment> getRebalanceResult() { |
| return new HashMap<>(_resultHistory); |
| } |
| } |