| 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 static org.mockito.Mockito.mock; |
| import static org.mockito.Mockito.when; |
| |
| import java.util.Collections; |
| import java.util.Map; |
| |
| 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; |
| import org.apache.helix.model.Partition; |
| import org.apache.helix.model.ResourceAssignment; |
| import org.testng.Assert; |
| import org.testng.annotations.BeforeMethod; |
| import org.testng.annotations.Test; |
| |
| import com.google.common.collect.ImmutableMap; |
| |
| public class TestPartitionMovementConstraint { |
| private static final String INSTANCE = "TestInstance"; |
| private static final String RESOURCE = "TestResource"; |
| private static final String PARTITION = "TestPartition"; |
| private AssignableNode _testNode; |
| private AssignableReplica _testReplica; |
| private ClusterContext _clusterContext; |
| private SoftConstraint _constraint = new PartitionMovementConstraint(); |
| |
| @BeforeMethod |
| public void init() { |
| _testNode = mock(AssignableNode.class); |
| _testReplica = mock(AssignableReplica.class); |
| _clusterContext = mock(ClusterContext.class); |
| when(_testReplica.getResourceName()).thenReturn(RESOURCE); |
| when(_testReplica.getPartitionName()).thenReturn(PARTITION); |
| when(_testNode.getInstanceName()).thenReturn(INSTANCE); |
| } |
| |
| @Test |
| public void testGetAssignmentScoreWhenBestPossibleBaselineMissing() { |
| when(_clusterContext.getBaselineAssignment()).thenReturn(Collections.emptyMap()); |
| when(_clusterContext.getBestPossibleAssignment()).thenReturn(Collections.emptyMap()); |
| double score = _constraint.getAssignmentScore(_testNode, _testReplica, _clusterContext); |
| double normalizedScore = |
| _constraint.getAssignmentNormalizedScore(_testNode, _testReplica, _clusterContext); |
| Assert.assertEquals(score, 0.0); |
| Assert.assertEquals(normalizedScore, 0.0); |
| } |
| |
| @Test |
| public void testGetAssignmentScoreWhenBestPossibleBaselineSame() { |
| ResourceAssignment mockResourceAssignment = mock(ResourceAssignment.class); |
| when(mockResourceAssignment.getReplicaMap(new Partition(PARTITION))) |
| .thenReturn(ImmutableMap.of(INSTANCE, "Master")); |
| Map<String, ResourceAssignment> assignmentMap = |
| ImmutableMap.of(RESOURCE, mockResourceAssignment); |
| when(_clusterContext.getBaselineAssignment()).thenReturn(assignmentMap); |
| when(_clusterContext.getBestPossibleAssignment()).thenReturn(assignmentMap); |
| // when the calculated states are both equal to the replica's current state |
| when(_testReplica.getReplicaState()).thenReturn("Master"); |
| double score = _constraint.getAssignmentScore(_testNode, _testReplica, _clusterContext); |
| double normalizedScore = |
| _constraint.getAssignmentNormalizedScore(_testNode, _testReplica, _clusterContext); |
| |
| Assert.assertEquals(score, 1.0); |
| Assert.assertEquals(normalizedScore, 1.0); |
| // when the calculated states are both different from the replica's current state |
| when(_testReplica.getReplicaState()).thenReturn("Slave"); |
| score = _constraint.getAssignmentScore(_testNode, _testReplica, _clusterContext); |
| normalizedScore = |
| _constraint.getAssignmentNormalizedScore(_testNode, _testReplica, _clusterContext); |
| |
| Assert.assertEquals(score, 0.5); |
| Assert.assertEquals(normalizedScore, 0.5); |
| } |
| |
| @Test |
| public void testGetAssignmentScoreWhenBestPossibleBaselineOpposite() { |
| ResourceAssignment bestPossibleResourceAssignment = mock(ResourceAssignment.class); |
| when(bestPossibleResourceAssignment.getReplicaMap(new Partition(PARTITION))) |
| .thenReturn(ImmutableMap.of(INSTANCE, "Master")); |
| ResourceAssignment baselineResourceAssignment = mock(ResourceAssignment.class); |
| when(baselineResourceAssignment.getReplicaMap(new Partition(PARTITION))) |
| .thenReturn(ImmutableMap.of(INSTANCE, "Slave")); |
| when(_clusterContext.getBaselineAssignment()) |
| .thenReturn(ImmutableMap.of(RESOURCE, baselineResourceAssignment)); |
| when(_clusterContext.getBestPossibleAssignment()) |
| .thenReturn(ImmutableMap.of(RESOURCE, bestPossibleResourceAssignment)); |
| // when the replica's state matches with best possible only |
| when(_testReplica.getReplicaState()).thenReturn("Master"); |
| double score = _constraint.getAssignmentScore(_testNode, _testReplica, _clusterContext); |
| double normalizedScore = |
| _constraint.getAssignmentNormalizedScore(_testNode, _testReplica, _clusterContext); |
| |
| Assert.assertEquals(score, 1.0); |
| Assert.assertEquals(normalizedScore, 1.0); |
| // when the replica's state matches with baseline only |
| when(_testReplica.getReplicaState()).thenReturn("Slave"); |
| score = _constraint.getAssignmentScore(_testNode, _testReplica, _clusterContext); |
| normalizedScore = |
| _constraint.getAssignmentNormalizedScore(_testNode, _testReplica, _clusterContext); |
| |
| // The calculated score is lower than previous value cause the replica's state matches with |
| // best possible is preferred |
| Assert.assertEquals(score, 0.5); |
| Assert.assertEquals(normalizedScore, 0.5); |
| } |
| } |