use of com.microsoft.dhalion.detector.Symptom in project incubator-heron by apache.
the class UnderProvisioningDiagnoserTest method diagnosisFailsNotSimilarProcessingRates.
@Test
public void diagnosisFailsNotSimilarProcessingRates() {
List<Symptom> symptoms = TestUtils.createBpSymptomList(123, 0, 0);
symptoms.add(TestUtils.createExeCountSymptom(100, 500, 500));
Diagnosis result = new UnderProvisioningDiagnoser().diagnose(symptoms);
assertNull(result);
}
use of com.microsoft.dhalion.detector.Symptom in project incubator-heron by apache.
the class GrowingWaitQueueDetector method detect.
/**
* Detects all components unable to keep up with input load, hence having a growing pending buffer
* or wait queue
*
* @return A collection of all components executing slower than input rate.
*/
@Override
public List<Symptom> detect() {
ArrayList<Symptom> result = new ArrayList<>();
Map<String, ComponentMetrics> bufferSizes = pendingBufferSensor.get();
for (ComponentMetrics compMetrics : bufferSizes.values()) {
ComponentMetricsHelper compStats = new ComponentMetricsHelper(compMetrics);
compStats.computeBufferSizeTrend();
if (compStats.getMaxBufferChangeRate() > rateLimit) {
LOG.info(String.format("Detected growing wait queues for %s, max rate %f", compMetrics.getName(), compStats.getMaxBufferChangeRate()));
result.add(new Symptom(SYMPTOM_GROWING_WAIT_Q.text(), compMetrics));
}
}
return result;
}
use of com.microsoft.dhalion.detector.Symptom in project incubator-heron by apache.
the class SlowInstanceDiagnoser method diagnose.
@Override
public Diagnosis diagnose(List<Symptom> symptoms) {
List<Symptom> bpSymptoms = getBackPressureSymptoms(symptoms);
Map<String, ComponentMetrics> processingRateSkewComponents = getProcessingRateSkewComponents(symptoms);
Map<String, ComponentMetrics> waitQDisparityComponents = getWaitQDisparityComponents(symptoms);
if (bpSymptoms.isEmpty() || waitQDisparityComponents.isEmpty() || !processingRateSkewComponents.isEmpty()) {
// execution count, no action is needed
return null;
} else if (bpSymptoms.size() > 1) {
// TODO handle cases where multiple detectors create back pressure symptom
throw new IllegalStateException("Multiple back-pressure symptoms case");
}
ComponentMetrics bpMetrics = bpSymptoms.iterator().next().getComponent();
// verify wait Q disparity and back pressure for the same component exists
ComponentMetrics pendingBufferMetrics = waitQDisparityComponents.get(bpMetrics.getName());
if (pendingBufferMetrics == null) {
// no wait Q disparity for the component with back pressure. There is no slow instance
return null;
}
ComponentMetrics mergedData = ComponentMetrics.merge(bpMetrics, pendingBufferMetrics);
ComponentMetricsHelper compStats = new ComponentMetricsHelper(mergedData);
compStats.computeBpStats();
MetricsStats bufferStats = compStats.computeMinMaxStats(METRIC_BUFFER_SIZE);
Symptom resultSymptom = null;
for (InstanceMetrics boltMetrics : compStats.getBoltsWithBackpressure()) {
double bufferSize = boltMetrics.getMetricValueSum(METRIC_BUFFER_SIZE.text());
double bpValue = boltMetrics.getMetricValueSum(METRIC_BACK_PRESSURE.text());
if (bufferStats.getMetricMax() < bufferSize * 2) {
LOG.info(String.format("SLOW: %s back-pressure(%s) and high buffer size: %s " + "and similar processing rates", boltMetrics.getName(), bpValue, bufferSize));
resultSymptom = new Symptom(SYMPTOM_SLOW_INSTANCE.text(), mergedData);
}
}
return resultSymptom != null ? new Diagnosis(DIAGNOSIS_SLOW_INSTANCE.text(), resultSymptom) : null;
}
use of com.microsoft.dhalion.detector.Symptom in project incubator-heron by apache.
the class SkewDetector method detect.
/**
* Detects components experiencing data skew, instances with vastly different execute counts.
*
* @return A collection of affected components
*/
@Override
public List<Symptom> detect() {
ArrayList<Symptom> result = new ArrayList<>();
Map<String, ComponentMetrics> metrics = sensor.get();
for (ComponentMetrics compMetrics : metrics.values()) {
ComponentMetricsHelper compStats = new ComponentMetricsHelper(compMetrics);
MetricsStats stats = compStats.computeMinMaxStats(sensor.getMetricName());
if (stats.getMetricMax() > skewRatio * stats.getMetricMin()) {
LOG.info(String.format("Detected skew for %s, min = %f, max = %f", compMetrics.getName(), stats.getMetricMin(), stats.getMetricMax()));
result.add(new Symptom(symptomName.text(), compMetrics));
}
}
return result;
}
use of com.microsoft.dhalion.detector.Symptom in project incubator-heron by apache.
the class RestartContainerResolver method resolve.
@Override
public List<Action> resolve(List<Diagnosis> diagnosis) {
List<Action> actions = new ArrayList<>();
for (Diagnosis diagnoses : diagnosis) {
Symptom bpSymptom = diagnoses.getSymptoms().get(SYMPTOM_SLOW_INSTANCE.text());
if (bpSymptom == null || bpSymptom.getComponents().isEmpty()) {
// nothing to fix as there is no back pressure
continue;
}
if (bpSymptom.getComponents().size() > 1) {
throw new UnsupportedOperationException("Multiple components with back pressure symptom");
}
// want to know which stmgr has backpressure
String stmgrId = null;
for (InstanceMetrics im : bpSymptom.getComponent().getMetrics().values()) {
if (im.hasMetricAboveLimit(METRIC_BACK_PRESSURE.text(), noiseFilterMillis)) {
String instanceId = im.getName();
int fromIndex = instanceId.indexOf('_') + 1;
int toIndex = instanceId.indexOf('_', fromIndex);
stmgrId = instanceId.substring(fromIndex, toIndex);
break;
}
}
LOG.info("Restarting container: " + stmgrId);
boolean b = schedulerClient.restartTopology(RestartTopologyRequest.newBuilder().setContainerIndex(Integer.valueOf(stmgrId)).setTopologyName(topologyName).build());
LOG.info("Restarted container result: " + b);
ContainerRestart action = new ContainerRestart();
LOG.info("Broadcasting container restart event");
eventManager.onEvent(action);
actions.add(action);
return actions;
}
return actions;
}
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