use of org.apache.heron.healthmgr.HealthPolicyConfig in project heron by twitter.
the class GrowingWaitQueueDetectorTest method testDetector.
@Test
public void testDetector() {
HealthPolicyConfig config = mock(HealthPolicyConfig.class);
when(config.getConfig(CONF_LIMIT, 10.0)).thenReturn(5.0);
Measurement measurement1 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892222), 0.0);
Measurement measurement2 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892270), 300.0);
Measurement measurement3 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892330), 700.0);
Measurement measurement4 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892390), 1000.0);
Measurement measurement5 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892450), 1300.0);
Collection<Measurement> metrics = new ArrayList<>();
metrics.add(measurement1);
metrics.add(measurement2);
metrics.add(measurement3);
metrics.add(measurement4);
metrics.add(measurement5);
GrowingWaitQueueDetector detector = new GrowingWaitQueueDetector(config);
PoliciesExecutor.ExecutionContext context = mock(PoliciesExecutor.ExecutionContext.class);
when(context.checkpoint()).thenReturn(Instant.now());
detector.initialize(context);
Collection<Symptom> symptoms = detector.detect(metrics);
assertEquals(1, symptoms.size());
assertEquals(1, symptoms.iterator().next().assignments().size());
measurement1 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892222), 0.0);
measurement2 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892270), 200.0);
measurement3 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892330), 400.0);
measurement4 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892390), 600.0);
measurement5 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892450), 800.0);
metrics = new ArrayList<>();
metrics.add(measurement1);
metrics.add(measurement2);
metrics.add(measurement3);
metrics.add(measurement4);
metrics.add(measurement5);
detector = new GrowingWaitQueueDetector(config);
symptoms = detector.detect(metrics);
assertEquals(0, symptoms.size());
}
use of org.apache.heron.healthmgr.HealthPolicyConfig in project heron by twitter.
the class BackPressureDetectorTest method testConfigAndFilter.
@Test
public void testConfigAndFilter() throws IOException {
HealthPolicyConfig config = mock(HealthPolicyConfig.class);
when(config.getConfig(CONF_NOISE_FILTER, 20)).thenReturn(50);
Measurement measurement1 = new Measurement("bolt", "i1", METRIC_BACK_PRESSURE.text(), now, 55);
Measurement measurement2 = new Measurement("bolt", "i2", METRIC_BACK_PRESSURE.text(), now, 3);
Measurement measurement3 = new Measurement("bolt", "i3", METRIC_BACK_PRESSURE.text(), now, 0);
Collection<Measurement> metrics = new ArrayList<>();
metrics.add(measurement1);
metrics.add(measurement2);
metrics.add(measurement3);
HealthManagerMetrics publishingMetrics = mock(HealthManagerMetrics.class);
BackPressureDetector detector = new BackPressureDetector(config, publishingMetrics);
PoliciesExecutor.ExecutionContext context = mock(PoliciesExecutor.ExecutionContext.class);
when(context.checkpoint()).thenReturn(now);
detector.initialize(context);
Collection<Symptom> symptoms = detector.detect(metrics);
Assert.assertEquals(2, symptoms.size());
SymptomsTable compSymptom = SymptomsTable.of(symptoms).type(SYMPTOM_COMP_BACK_PRESSURE.text());
Assert.assertEquals(1, compSymptom.size());
Assert.assertEquals(1, compSymptom.get().iterator().next().assignments().size());
SymptomsTable instanceSymptom = SymptomsTable.of(symptoms).type(SYMPTOM_INSTANCE_BACK_PRESSURE.text());
Assert.assertEquals(1, instanceSymptom.size());
Assert.assertEquals(1, instanceSymptom.get().iterator().next().assignments().size());
Symptom symptom = symptoms.iterator().next();
measurement1 = new Measurement("bolt", "i1", METRIC_BACK_PRESSURE.text(), now, 45);
measurement2 = new Measurement("bolt", "i2", METRIC_BACK_PRESSURE.text(), now, 3);
metrics = new ArrayList<>();
metrics.add(measurement1);
metrics.add(measurement2);
detector = new BackPressureDetector(config, publishingMetrics);
detector.initialize(context);
symptoms = detector.detect(metrics);
Assert.assertEquals(0, symptoms.size());
}
use of org.apache.heron.healthmgr.HealthPolicyConfig in project heron by twitter.
the class LargeWaitQueueDetectorTest method testConfigAndFilter.
@Test
public void testConfigAndFilter() {
HealthPolicyConfig config = mock(HealthPolicyConfig.class);
when(config.getConfig(CONF_SIZE_LIMIT, 1000)).thenReturn(20);
Measurement measurement1 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892222), 21);
Measurement measurement2 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892322), 21);
Collection<Measurement> metrics = new ArrayList<>();
metrics.add(measurement1);
metrics.add(measurement2);
LargeWaitQueueDetector detector = new LargeWaitQueueDetector(config);
PoliciesExecutor.ExecutionContext context = mock(PoliciesExecutor.ExecutionContext.class);
when(context.checkpoint()).thenReturn(Instant.now());
detector.initialize(context);
Collection<Symptom> symptoms = detector.detect(metrics);
assertEquals(1, symptoms.size());
assertEquals(1, symptoms.iterator().next().assignments().size());
measurement1 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892222), 11);
measurement2 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892322), 10);
metrics = new ArrayList<>();
metrics.add(measurement1);
metrics.add(measurement2);
detector = new LargeWaitQueueDetector(config);
symptoms = detector.detect(metrics);
assertEquals(0, symptoms.size());
}
use of org.apache.heron.healthmgr.HealthPolicyConfig in project heron by twitter.
the class ProcessingRateSkewDetectorTest method testGetMaxMin.
@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));
}
use of org.apache.heron.healthmgr.HealthPolicyConfig in project heron by twitter.
the class ProcessingRateSkewDetectorTest method testConfigAndFilter.
@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());
}
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