| /** |
| * 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. |
| */ |
| |
| package org.apache.heron.healthmgr.detectors; |
| |
| import java.time.Instant; |
| import java.util.ArrayList; |
| import java.util.Collection; |
| |
| import com.microsoft.dhalion.core.Measurement; |
| import com.microsoft.dhalion.core.MeasurementsTable; |
| import com.microsoft.dhalion.core.Symptom; |
| import com.microsoft.dhalion.core.SymptomsTable; |
| import com.microsoft.dhalion.policy.PoliciesExecutor; |
| |
| import org.junit.Test; |
| |
| import org.apache.heron.healthmgr.HealthPolicyConfig; |
| |
| import static org.apache.heron.healthmgr.detectors.ProcessingRateSkewDetector.CONF_SKEW_RATIO; |
| import static org.apache.heron.healthmgr.sensors.BaseSensor.MetricName.METRIC_EXE_COUNT; |
| import static org.junit.Assert.assertEquals; |
| import static org.mockito.Mockito.mock; |
| import static org.mockito.Mockito.when; |
| |
| public class ProcessingRateSkewDetectorTest { |
| |
| @Test |
| public void testGetMaxMin() { |
| HealthPolicyConfig config = mock(HealthPolicyConfig.class); |
| when(config.getConfig(CONF_SKEW_RATIO, 1.5)).thenReturn(2.5); |
| |
| Measurement measurement1 = new Measurement( |
| "bolt", "i1", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 1000); |
| Measurement measurement2 = new Measurement( |
| "bolt", "i1", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892122), 3000); |
| Measurement measurement3 = new Measurement( |
| "bolt", "i2", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 200.0); |
| Measurement measurement4 = new Measurement( |
| "bolt", "i2", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 400.0); |
| |
| Collection<Measurement> metrics = new ArrayList<>(); |
| metrics.add(measurement1); |
| metrics.add(measurement2); |
| metrics.add(measurement3); |
| metrics.add(measurement4); |
| |
| MeasurementsTable metricsTable = MeasurementsTable.of(metrics); |
| |
| |
| ProcessingRateSkewDetector detector = new ProcessingRateSkewDetector(config); |
| |
| assertEquals(2000, (int) detector.getMaxOfAverage(metricsTable)); |
| assertEquals(300, (int) detector.getMinOfAverage(metricsTable)); |
| |
| } |
| |
| @Test |
| public void testConfigAndFilter() { |
| HealthPolicyConfig config = mock(HealthPolicyConfig.class); |
| when(config.getConfig(CONF_SKEW_RATIO, 1.5)).thenReturn(2.5); |
| |
| Measurement measurement1 = new Measurement( |
| "bolt", "i1", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 1000); |
| Measurement measurement2 = new Measurement( |
| "bolt", "i2", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 200.0); |
| |
| Collection<Measurement> metrics = new ArrayList<>(); |
| metrics.add(measurement1); |
| metrics.add(measurement2); |
| |
| ProcessingRateSkewDetector detector = new ProcessingRateSkewDetector(config); |
| PoliciesExecutor.ExecutionContext context = mock(PoliciesExecutor.ExecutionContext.class); |
| when(context.checkpoint()).thenReturn(Instant.now()); |
| detector.initialize(context); |
| |
| Collection<Symptom> symptoms = detector.detect(metrics); |
| |
| assertEquals(3, symptoms.size()); |
| SymptomsTable symptomsTable = SymptomsTable.of(symptoms); |
| assertEquals(1, symptomsTable.type("POSITIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).size()); |
| assertEquals(1, symptomsTable.type("NEGATIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).size()); |
| assertEquals(1, symptomsTable.type("POSITIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).assignment("i1").size()); |
| assertEquals(1, symptomsTable.type("NEGATIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).assignment("i2").size()); |
| |
| measurement1 = new Measurement( |
| "bolt", "i1", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 1000); |
| measurement2 = new Measurement( |
| "bolt", "i2", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 500.0); |
| |
| metrics = new ArrayList<>(); |
| metrics.add(measurement1); |
| metrics.add(measurement2); |
| |
| detector = new ProcessingRateSkewDetector(config); |
| detector.initialize(context); |
| symptoms = detector.detect(metrics); |
| |
| assertEquals(0, symptoms.size()); |
| } |
| |
| @Test |
| public void testReturnsMultipleComponents() { |
| HealthPolicyConfig config = mock(HealthPolicyConfig.class); |
| when(config.getConfig(CONF_SKEW_RATIO, 1.5)).thenReturn(2.5); |
| |
| Measurement measurement1 = new Measurement( |
| "bolt", "i1", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 1000); |
| Measurement measurement2 = new Measurement( |
| "bolt", "i2", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 200.0); |
| |
| Measurement measurement3 = new Measurement( |
| "bolt2", "i3", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 1000); |
| Measurement measurement4 = new Measurement( |
| "bolt2", "i4", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 200.0); |
| |
| Measurement measurement5 = new Measurement( |
| "bolt3", "i5", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 1000); |
| Measurement measurement6 = new Measurement( |
| "bolt3", "i6", METRIC_EXE_COUNT.text(), Instant.ofEpochSecond(1497892222), 500.0); |
| |
| |
| Collection<Measurement> metrics = new ArrayList<>(); |
| metrics.add(measurement1); |
| metrics.add(measurement2); |
| metrics.add(measurement3); |
| metrics.add(measurement4); |
| metrics.add(measurement5); |
| metrics.add(measurement6); |
| |
| ProcessingRateSkewDetector detector = new ProcessingRateSkewDetector(config); |
| PoliciesExecutor.ExecutionContext context = mock(PoliciesExecutor.ExecutionContext.class); |
| when(context.checkpoint()).thenReturn(Instant.now()); |
| detector.initialize(context); |
| |
| Collection<Symptom> symptoms = detector.detect(metrics); |
| |
| assertEquals(6, symptoms.size()); |
| |
| SymptomsTable symptomsTable = SymptomsTable.of(symptoms); |
| assertEquals(2, symptomsTable.type("POSITIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).size()); |
| assertEquals(2, symptomsTable.type("NEGATIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).size()); |
| assertEquals(1, symptomsTable.type("POSITIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).assignment("i1").size()); |
| assertEquals(1, symptomsTable.type("POSITIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).assignment("i3").size()); |
| assertEquals(1, symptomsTable.type("NEGATIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).assignment("i2").size()); |
| assertEquals(1, symptomsTable.type("NEGATIVE " + BaseDetector.SymptomType |
| .SYMPTOM_PROCESSING_RATE_SKEW).assignment("i4").size()); |
| |
| } |
| } |