Examples with HealthPolicyConfig org.apache.heron.healthmgr.HealthPolicyConfig used on opensource projects

Example 6 with HealthPolicyConfig

use of org.apache.heron.healthmgr.HealthPolicyConfig in project heron by twitter.

the class WaitQueueSkewDetectorTest method testConfigAndFilter.

@Test
public void testConfigAndFilter() {
    HealthPolicyConfig config = mock(HealthPolicyConfig.class);
    when(config.getConfig(CONF_SKEW_RATIO, 20.0)).thenReturn(15.0);
    Measurement measurement1 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892222), 1501);
    Measurement measurement2 = new Measurement("bolt", "i2", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892222), 100.0);
    Collection<Measurement> metrics = new ArrayList<>();
    metrics.add(measurement1);
    metrics.add(measurement2);
    WaitQueueSkewDetector detector = new WaitQueueSkewDetector(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_WAIT_Q_SIZE_SKEW).size());
    assertEquals(1, symptomsTable.type("NEGATIVE " + BaseDetector.SymptomType.SYMPTOM_WAIT_Q_SIZE_SKEW).size());
    assertEquals(1, symptomsTable.type("POSITIVE " + BaseDetector.SymptomType.SYMPTOM_WAIT_Q_SIZE_SKEW).assignment("i1").size());
    assertEquals(1, symptomsTable.type("NEGATIVE " + BaseDetector.SymptomType.SYMPTOM_WAIT_Q_SIZE_SKEW).assignment("i2").size());
    measurement1 = new Measurement("bolt", "i1", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892222), 1500);
    measurement2 = new Measurement("bolt", "i2", METRIC_WAIT_Q_SIZE.text(), Instant.ofEpochSecond(1497892222), 110.0);
    metrics = new ArrayList<>();
    metrics.add(measurement1);
    metrics.add(measurement2);
    detector = new WaitQueueSkewDetector(config);
    detector.initialize(context);
    symptoms = detector.detect(metrics);
    assertEquals(0, symptoms.size());
}

Example 7 with HealthPolicyConfig

use of org.apache.heron.healthmgr.HealthPolicyConfig in project heron by twitter.

the class ProcessingRateSkewDetectorTest method testReturnsMultipleComponents.

@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());
}