MetricsAdvisorClient Class
- java.
lang. Object - com.
azure. ai. metricsadvisor. MetricsAdvisorClient
- com.
public final class MetricsAdvisorClient
This class provides a synchronous client to connect to the Metrics Advisor Azure Cognitive Service.
This client provides synchronous methods to perform:
- Analyze root cause into specific dimension using the com.azure.ai.metricsadvisor.MetricsAdvisorClient#listIncidentRootCauses(String, String, Context) method with your respective data source.
- Fetch incidents triggered for a particular detection configuration using the com.azure.ai.metricsadvisor.MetricsAdvisorClient#listIncidentsForDetectionConfig(String, OffsetDateTime, OffsetDateTime, ListIncidentsDetectedOptions, Context) method.
- Fetch all the anomalies detected for a particular detection configuration using the com.azure.ai.metricsadvisor.MetricsAdvisorClient#listAnomaliesForDetectionConfig(String, OffsetDateTime, OffsetDateTime) method./li>
Service clients are the point of interaction for developers to use Azure Metrics Advisor. MetricsAdvisorClient is the synchronous service client and MetricsAdvisorAsyncClient is the asynchronous service client. The examples shown in this document use a credential object named DefaultAzureCredential for authentication, which is appropriate for most scenarios, including local development and production environments. Additionally, we recommend using managed identity for authentication in production environments. You can find more information on different ways of authenticating and their corresponding credential types in the Azure Identity documentation".
Sample: Construct a MetricsAdvisorClient with DefaultAzureCredential
The following code sample demonstrates the creation of a MetricsAdvisorClient, using the `DefaultAzureCredentialBuilder` to configure it.
MetricsAdvisorClient metricsAdvisorClient =
new MetricsAdvisorClientBuilder()
.credential(new DefaultAzureCredentialBuilder().build())
.endpoint("{endpoint}")
.buildClient();
Further, see the code sample below to use MetricsAdvisorKeyCredential for client creation.
MetricsAdvisorClient metricsAdvisorClient =
new MetricsAdvisorClientBuilder()
.credential(new MetricsAdvisorKeyCredential("{subscription_key}", "{api_key}"))
.endpoint("{endpoint}")
.buildClient();
Method Summary
Methods inherited from java.lang.Object
Method Details
addFeedback
public MetricFeedback addFeedback(String metricId, MetricFeedback metricFeedback)
Create a new metric feedback.
Code sample
final String metricId = "d3gh4i4-b804-4ab9-a70f-0da0c89cft3l";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final MetricChangePointFeedback metricChangePointFeedback
= new MetricChangePointFeedback(startTime, endTime, ChangePointValue.AUTO_DETECT);
final MetricFeedback metricFeedback
= metricsAdvisorClient.addFeedback(metricId, metricChangePointFeedback);
MetricChangePointFeedback createdMetricChangePointFeedback = (MetricChangePointFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback Id: %s%n", createdMetricChangePointFeedback.getId());
System.out.printf("Data Feed Metric feedback change point value: %s%n",
createdMetricChangePointFeedback.getChangePointValue().toString());
System.out.printf("Data Feed Metric feedback start time: %s%n",
createdMetricChangePointFeedback.getStartTime());
System.out.printf("Data Feed Metric feedback end time: %s%n",
createdMetricChangePointFeedback.getEndTime());
Parameters:
metricId
- the unique id for which the feedback needs to be submitted.
metricFeedback
- the actual metric feedback.
Returns:
the created MetricFeedback.
addFeedbackWithResponse
public Response
Create a new metric feedback.
Code sample
final String metricId = "d3gh4i4-b804-4ab9-a70f-0da0c89cft3l";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final MetricChangePointFeedback metricChangePointFeedback
= new MetricChangePointFeedback(startTime, endTime, ChangePointValue.AUTO_DETECT);
final Response<MetricFeedback> metricFeedbackResponse
= metricsAdvisorClient.addFeedbackWithResponse(metricId, metricChangePointFeedback, Context.NONE);
System.out.printf("Data Feed Metric feedback creation operation status %s%n",
metricFeedbackResponse.getStatusCode());
MetricChangePointFeedback createdMetricChangePointFeedback
= (MetricChangePointFeedback) metricFeedbackResponse.getValue();
System.out.printf("Data Feed Metric feedback Id: %s%n", createdMetricChangePointFeedback.getId());
System.out.printf("Data Feed Metric feedback change point value: %s%n",
createdMetricChangePointFeedback.getChangePointValue().toString());
System.out.printf("Data Feed Metric feedback start time: %s%n",
createdMetricChangePointFeedback.getStartTime());
System.out.printf("Data Feed Metric feedback end time: %s%n",
createdMetricChangePointFeedback.getEndTime());
System.out.printf("Data Feed Metric feedback associated dimension filter: %s%n",
createdMetricChangePointFeedback.getDimensionFilter().asMap());
Parameters:
metricId
- the unique id for which the feedback needs to be submitted.
metricFeedback
- the actual metric feedback.
context
- Additional context that is passed through the HTTP pipeline during the service call.
Returns:
A Response<T> containing the created MetricFeedback.
getFeedback
public MetricFeedback getFeedback(String feedbackId)
Get a metric feedback by its id.
Code sample
final String feedbackId = "8i3h4i4-b804-4ab9-a70f-0da0c89cft3l";
final MetricFeedback metricFeedback = metricsAdvisorClient.getFeedback(feedbackId);
System.out.printf("Data Feed Metric feedback Id: %s%n", metricFeedback.getId());
System.out.printf("Data Feed Metric feedback associated dimension filter: %s%n",
metricFeedback.getDimensionFilter().asMap());
if (PERIOD.equals(metricFeedback.getFeedbackType())) {
MetricPeriodFeedback createMetricPeriodFeedback
= (MetricPeriodFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback type: %s%n",
createMetricPeriodFeedback.getPeriodType().toString());
System.out.printf("Data Feed Metric feedback period value: %d%n",
createMetricPeriodFeedback.getPeriodValue());
}
Parameters:
feedbackId
- The metric feedback unique id.
Returns:
The metric feedback for the provided id.
getFeedbackWithResponse
public Response
Get a metric feedback by its id.
Code sample
final String feedbackId = "8i3h4i4-b804-4ab9-a70f-0da0c89cft3l";
final Response<MetricFeedback> metricFeedbackResponse
= metricsAdvisorClient.getFeedbackWithResponse(feedbackId, Context.NONE);
final MetricFeedback metricFeedback = metricFeedbackResponse.getValue();
System.out.printf("Data Feed Metric feedback Id: %s%n", metricFeedback.getId());
System.out.printf("Data Feed Metric feedback associated dimension filter: %s%n",
metricFeedback.getDimensionFilter().asMap());
if (PERIOD.equals(metricFeedback.getFeedbackType())) {
MetricPeriodFeedback createMetricPeriodFeedback
= (MetricPeriodFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback type: %s%n",
createMetricPeriodFeedback.getPeriodType().toString());
System.out.printf("Data Feed Metric feedback period value: %d%n",
createMetricPeriodFeedback.getPeriodValue());
}
Parameters:
feedbackId
- The metric feedback unique id.
context
- Additional context that is passed through the HTTP pipeline during the service call.
Returns:
The metric feedback for the provided id.
listAlerts
public PagedIterable
Fetch the alerts triggered by an anomaly alert configuration.
Code sample
final String alertConfigurationId = "ff3014a0-bbbb-41ec-a637-677e77b81299";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
PagedIterable<AnomalyAlert> alertsIterable
= metricsAdvisorClient.listAlerts(alertConfigurationId, startTime, endTime);
for (AnomalyAlert anomalyAlert : alertsIterable) {
System.out.printf("Anomaly Alert Id: %s%n", anomalyAlert.getId());
System.out.printf("Created Time: %s%n", anomalyAlert.getCreatedTime());
System.out.printf("Modified Time: %s%n", anomalyAlert.getModifiedTime());
}
Parameters:
alertConfigurationId
- The anomaly alert configuration id.
startTime
- The start time of the time range within which the alerts were triggered.
endTime
- The end time of the time range within which the alerts were triggered.
Returns:
The alerts.
listAlerts
public PagedIterable
Fetch the alerts triggered by an anomaly alert configuration.
Code sample
final String alertConfigurationId = "ff3014a0-bbbb-41ec-a637-677e77b81299";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final AlertQueryTimeMode timeMode = AlertQueryTimeMode.ANOMALY_TIME;
final ListAlertOptions options = new ListAlertOptions()
.setAlertQueryTimeMode(timeMode)
.setMaxPageSize(10);
PagedIterable<AnomalyAlert> alertsIterable
= metricsAdvisorClient.listAlerts(alertConfigurationId, startTime, endTime, options, Context.NONE);
Stream<PagedResponse<AnomalyAlert>> alertsPageStream = alertsIterable.streamByPage();
int[] pageCount = new int[1];
alertsPageStream.forEach(alertsPage -> {
System.out.printf("Page: %d%n", pageCount[0]++);
IterableStream<AnomalyAlert> alertsPageItems = alertsPage.getElements();
for (AnomalyAlert anomalyAlert : alertsPageItems) {
System.out.printf("AnomalyAlert Id: %s%n", anomalyAlert.getId());
System.out.printf("Created Time: %s%n", anomalyAlert.getCreatedTime());
System.out.printf("Modified Time: %s%n", anomalyAlert.getModifiedTime());
}
});
Parameters:
alertConfigurationId
- The anomaly alert configuration id.
startTime
- The start time of the time range within which the alerts were triggered.
endTime
- The end time of the time range within which the alerts were triggered.
options
- The additional parameters.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
The alerts.
listAnomaliesForAlert
public PagedIterable
Fetch the anomalies in an alert.
Code sample
final String alertConfigurationId = "ff3014a0-bbbb-41ec-a637-677e77b81299";
final String alertId = "1746b031c00";
PagedIterable<DataPointAnomaly> anomaliesIterable = metricsAdvisorClient.listAnomaliesForAlert(
alertConfigurationId,
alertId
);
for (DataPointAnomaly dataPointAnomaly : anomaliesIterable) {
System.out.printf("Data Feed Metric Id: %s%n", dataPointAnomaly.getMetricId());
System.out.printf("Detection Configuration Id: %s%n", dataPointAnomaly.getDetectionConfigurationId());
System.out.printf("DataPoint Anomaly Created Time: %s%n", dataPointAnomaly.getCreatedTime());
System.out.printf("DataPoint Anomaly Modified Time: %s%n", dataPointAnomaly.getModifiedTime());
System.out.printf("DataPoint Anomaly AnomalySeverity: %s%n", dataPointAnomaly.getSeverity());
System.out.printf("DataPoint Anomaly Status: %s%n", dataPointAnomaly.getStatus());
System.out.printf("Series Key:");
System.out.println(dataPointAnomaly.getSeriesKey().asMap());
}
Parameters:
alertConfigurationId
- The anomaly alert configuration id.
alertId
- The alert id.
Returns:
The anomalies.
listAnomaliesForAlert
public PagedIterable
Fetch the anomalies in an alert.
Code sample
final String alertConfigurationId = "ff3014a0-bbbb-41ec-a637-677e77b81299";
final String alertId = "1746b031c00";
final ListAnomaliesAlertedOptions options = new ListAnomaliesAlertedOptions()
.setMaxPageSize(10);
PagedIterable<DataPointAnomaly> anomaliesIterable = metricsAdvisorClient.listAnomaliesForAlert(
alertConfigurationId,
alertId,
options,
Context.NONE);
Stream<PagedResponse<DataPointAnomaly>> anomaliesPageStream = anomaliesIterable.streamByPage();
int[] pageCount = new int[1];
anomaliesPageStream.forEach(anomaliesPage -> {
System.out.printf("Page: %d%n", pageCount[0]++);
IterableStream<DataPointAnomaly> anomaliesPageItems = anomaliesPage.getElements();
for (DataPointAnomaly dataPointAnomaly : anomaliesPageItems) {
System.out.printf("Data Feed Metric Id: %s%n", dataPointAnomaly.getMetricId());
System.out.printf("Detection Configuration Id: %s%n", dataPointAnomaly.getDetectionConfigurationId());
System.out.printf("DataPoint Anomaly Created Time: %s%n", dataPointAnomaly.getCreatedTime());
System.out.printf("DataPoint Anomaly Modified Time: %s%n", dataPointAnomaly.getModifiedTime());
System.out.printf("DataPoint Anomaly AnomalySeverity: %s%n", dataPointAnomaly.getSeverity());
System.out.printf("DataPoint Anomaly Status: %s%n", dataPointAnomaly.getStatus());
System.out.printf("Series Key:");
System.out.println(dataPointAnomaly.getSeriesKey().asMap());
}
});
Parameters:
alertConfigurationId
- The anomaly alert configuration id.
alertId
- The alert id.
options
- The additional parameters.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
The anomalies.
listAnomaliesForDetectionConfig
public PagedIterable
Fetch the anomalies identified by an anomaly detection configuration.
Code sample
final String detectionConfigurationId = "c0f2539f-b804-4ab9-a70f-0da0c89c76d8";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T12:00:00Z");
final ListAnomaliesDetectedFilter filter = new ListAnomaliesDetectedFilter()
.setSeverityRange(AnomalySeverity.LOW, AnomalySeverity.MEDIUM);
final ListAnomaliesDetectedOptions options = new ListAnomaliesDetectedOptions()
.setMaxPageSize(10)
.setFilter(filter);
PagedIterable<DataPointAnomaly> anomaliesIterable
= metricsAdvisorClient.listAnomaliesForDetectionConfig(detectionConfigurationId, startTime, endTime,
options, Context.NONE);
for (DataPointAnomaly dataPointAnomaly : anomaliesIterable) {
System.out.printf("DataPointAnomaly AnomalySeverity: %s%n", dataPointAnomaly.getSeverity());
System.out.printf("Series Key:");
DimensionKey seriesKey = dataPointAnomaly.getSeriesKey();
for (Map.Entry<String, String> dimension : seriesKey.asMap().entrySet()) {
System.out.printf("DimensionName: %s DimensionValue:%s%n",
dimension.getKey(), dimension.getValue());
}
}
Parameters:
detectionConfigurationId
- The anomaly detection configuration id.
startTime
- The start time of the time range within which the anomalies were detected.
endTime
- The end time of the time range within which the anomalies were detected.
Returns:
The anomalies.
listAnomaliesForDetectionConfig
public PagedIterable
Fetch the anomalies identified by an anomaly detection configuration.
Code sample
final String detectionConfigurationId = "c0f2539f-b804-4ab9-a70f-0da0c89c76d8";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T12:00:00Z");
final ListAnomaliesDetectedFilter filter = new ListAnomaliesDetectedFilter()
.setSeverityRange(AnomalySeverity.LOW, AnomalySeverity.MEDIUM);
final ListAnomaliesDetectedOptions options = new ListAnomaliesDetectedOptions()
.setMaxPageSize(10)
.setFilter(filter);
PagedIterable<DataPointAnomaly> anomaliesIterable
= metricsAdvisorClient.listAnomaliesForDetectionConfig(detectionConfigurationId,
startTime, endTime, options,
Context.NONE);
Stream<PagedResponse<DataPointAnomaly>> anomaliesPageStream = anomaliesIterable.streamByPage();
int[] pageCount = new int[1];
anomaliesPageStream.forEach(anomaliesPage -> {
System.out.printf("Page: %d%n", pageCount[0]++);
IterableStream<DataPointAnomaly> anomaliesPageItems = anomaliesPage.getElements();
for (DataPointAnomaly dataPointAnomaly : anomaliesPageItems) {
System.out.printf("DataPoint Anomaly AnomalySeverity: %s%n", dataPointAnomaly.getSeverity());
System.out.printf("Series Key:");
DimensionKey seriesKey = dataPointAnomaly.getSeriesKey();
for (Map.Entry<String, String> dimension : seriesKey.asMap().entrySet()) {
System.out.printf("DimensionName: %s DimensionValue:%s%n",
dimension.getKey(), dimension.getValue());
}
}
});
Parameters:
detectionConfigurationId
- The anomaly detection configuration id.
startTime
- The start time of the time range within which the anomalies were detected.
endTime
- The end time of the time range within which the anomalies were detected.
options
- The additional parameters.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
The anomalies.
listAnomalyDimensionValues
public PagedIterable
Fetch dimension values that have anomalies.
Code sample
final String detectionConfigurationId = "c0f2539f-b804-4ab9-a70f-0da0c89c76d8";
final String dimensionName = "Dim1";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
PagedIterable<String> dimensionValueIterable
= metricsAdvisorClient.listAnomalyDimensionValues(detectionConfigurationId,
dimensionName,
startTime, endTime);
for (String dimensionValue : dimensionValueIterable) {
System.out.printf("DataFeedDimension Value: %s%n", dimensionValue);
}
Parameters:
detectionConfigurationId
- Identifies the configuration used to detect the anomalies.
dimensionName
- The dimension name to retrieve the values for.
startTime
- The start time of the time range within which the anomalies were identified.
endTime
- The end time of the time range within which the anomalies were identified.
Returns:
The dimension values with anomalies.
listAnomalyDimensionValues
public PagedIterable
Fetch dimension values that have anomalies.
Code sample
final String detectionConfigurationId = "c0f2539f-b804-4ab9-a70f-0da0c89c76d8";
final String dimensionName = "Dim1";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final ListAnomalyDimensionValuesOptions options
= new ListAnomalyDimensionValuesOptions()
.setMaxPageSize(10);
PagedIterable<String> dimensionValueIterable
= metricsAdvisorClient.listAnomalyDimensionValues(detectionConfigurationId,
dimensionName,
startTime, endTime, options,
Context.NONE);
Stream<PagedResponse<String>> dimensionValuePageStream = dimensionValueIterable.streamByPage();
int[] pageCount = new int[1];
dimensionValuePageStream.forEach(dimensionValuePage -> {
System.out.printf("Page: %d%n", pageCount[0]++);
IterableStream<String> dimensionValuePageItems = dimensionValuePage.getElements();
for (String dimensionValue : dimensionValuePageItems) {
System.out.printf("DataFeedDimension Value: %s%n", dimensionValue);
}
});
Parameters:
detectionConfigurationId
- Identifies the configuration used to detect the anomalies.
dimensionName
- The dimension name to retrieve the values for.
startTime
- The start time of the time range within which the anomalies were identified.
endTime
- The end time of the time range within which the anomalies were identified.
options
- The additional parameters.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
The dimension values with anomalies.
listFeedback
public PagedIterable
List information of all metric feedbacks on the metrics advisor account.
Code sample
final String metricId = "d3gh4i4-b804-4ab9-a70f-0da0c89cft3l";
metricsAdvisorClient.listFeedback(metricId)
.forEach(metricFeedback -> {
System.out.printf("Data Feed Metric feedback Id: %s%n", metricFeedback.getId());
System.out.printf("Data Feed Metric feedback associated dimension filter: %s%n",
metricFeedback.getDimensionFilter().asMap());
if (PERIOD.equals(metricFeedback.getFeedbackType())) {
MetricPeriodFeedback periodFeedback
= (MetricPeriodFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback type: %s%n",
periodFeedback.getPeriodType().toString());
System.out.printf("Data Feed Metric feedback period value: %d%n",
periodFeedback.getPeriodValue());
} else if (ANOMALY.equals(metricFeedback.getFeedbackType())) {
MetricAnomalyFeedback metricAnomalyFeedback
= (MetricAnomalyFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback anomaly value: %s%n",
metricAnomalyFeedback.getAnomalyValue().toString());
System.out.printf("Data Feed Metric feedback associated detection configuration: %s%n",
metricAnomalyFeedback.getDetectionConfigurationId());
} else if (COMMENT.equals(metricFeedback.getFeedbackType())) {
MetricCommentFeedback metricCommentFeedback
= (MetricCommentFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback comment value: %s%n",
metricCommentFeedback.getComment());
}
});
Parameters:
metricId
- the unique metric Id.
Returns:
A PagedIterable<T> containing information of all the MetricFeedback
in the account.
listFeedback
public PagedIterable
List information of all metric feedbacks on the metrics advisor account.
Code sample
final String metricId = "d3gh4i4-b804-4ab9-a70f-0da0c89cft3l";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
metricsAdvisorClient.listFeedback(metricId,
new ListMetricFeedbackOptions()
.setFilter(new ListMetricFeedbackFilter()
.setStartTime(startTime)
.setTimeMode(FeedbackQueryTimeMode.FEEDBACK_CREATED_TIME)
.setEndTime(endTime)), Context.NONE)
.forEach(metricFeedback -> {
System.out.printf("Data Feed Metric feedback Id: %s%n", metricFeedback.getId());
System.out.printf("Data Feed Metric feedback associated dimension filter: %s%n",
metricFeedback.getDimensionFilter().asMap());
System.out.printf("Data Feed Metric feedback created time %s%n", metricFeedback.getCreatedTime());
if (PERIOD.equals(metricFeedback.getFeedbackType())) {
MetricPeriodFeedback periodFeedback
= (MetricPeriodFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback type: %s%n",
periodFeedback.getPeriodType().toString());
System.out.printf("Data Feed Metric feedback period value: %d%n",
periodFeedback.getPeriodValue());
} else if (ANOMALY.equals(metricFeedback.getFeedbackType())) {
MetricAnomalyFeedback metricAnomalyFeedback
= (MetricAnomalyFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback anomaly value: %s%n",
metricAnomalyFeedback.getAnomalyValue().toString());
System.out.printf("Data Feed Metric feedback associated detection configuration: %s%n",
metricAnomalyFeedback.getDetectionConfigurationId());
} else if (COMMENT.equals(metricFeedback.getFeedbackType())) {
MetricCommentFeedback metricCommentFeedback
= (MetricCommentFeedback) metricFeedback;
System.out.printf("Data Feed Metric feedback comment value: %s%n",
metricCommentFeedback.getComment());
}
});
Parameters:
metricId
- the unique metric Id.
options
- The configurable ListMetricFeedbackOptions to pass for filtering the output
result.
context
- Additional context that is passed through the HTTP pipeline during the service call.
Returns:
A PagedIterable<T> containing information of all the MetricFeedback
in the account.
listIncidentRootCauses
public PagedIterable
List the root causes for an anomalyIncident.
Code sample
final String detectionConfigurationId = "c0f2539f-b804-4ab9-a70f-0da0c89c76d8";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
metricsAdvisorClient.listIncidentsForDetectionConfig(detectionConfigurationId, startTime, endTime)
.forEach(incident -> {
metricsAdvisorClient.listIncidentRootCauses(incident)
.forEach(incidentRootCause -> {
System.out.printf("Description: %s%n", incidentRootCause.getDescription());
System.out.printf("Series Key:");
System.out.println(incidentRootCause.getSeriesKey().asMap());
System.out.printf("Confidence for the detected incident root cause %.2f%n",
incidentRootCause.getContributionScore());
});
});
Parameters:
anomalyIncident
- the anomalyIncident for which you want to query root causes for.
Returns:
the list of root causes for that anomalyIncident.
listIncidentRootCauses
public PagedIterable
List the root causes for an incident.
Code sample
final String detectionConfigurationId = "c0dddf2539f-b804-4ab9-a70f-0da0c89c76d8";
final String incidentId = "c5thh0f2539f-b804-4ab9-a70f-0da0c89c456d";
metricsAdvisorClient.listIncidentRootCauses(detectionConfigurationId, incidentId)
.forEach(incidentRootCause -> {
System.out.printf("Description: %s%n", incidentRootCause.getDescription());
System.out.printf("Series Key:");
System.out.println(incidentRootCause.getSeriesKey().asMap());
System.out.printf("Confidence for the detected incident root cause %.2f%n",
incidentRootCause.getContributionScore());
});
Parameters:
detectionConfigurationId
- anomaly detection configuration unique id.
incidentId
- the incident for which you want to query root causes for.
Returns:
the list of root causes for that incident.
listIncidentRootCauses
public PagedIterable
List the root causes for an incident.
Code sample
final String detectionConfigurationId = "c0dddf2539f-b804-4ab9-a70f-0da0c89c76d8";
final String incidentId = "c5thh0f2539f-b804-4ab9-a70f-0da0c89c456d";
PagedIterable<IncidentRootCause> rootCauseIterable
= metricsAdvisorClient.listIncidentRootCauses(detectionConfigurationId, incidentId, Context.NONE);
Stream<PagedResponse<IncidentRootCause>> rootCausePageIterable = rootCauseIterable.streamByPage();
rootCausePageIterable.forEach(response -> {
System.out.printf("Response StatusCode: %s%n", response.getStatusCode());
IterableStream<IncidentRootCause> pageElements = response.getElements();
for (IncidentRootCause incidentRootCause : pageElements) {
System.out.printf("Description: %s%n", incidentRootCause.getDescription());
System.out.printf("Series Key:");
System.out.println(incidentRootCause.getSeriesKey().asMap());
System.out.printf("Confidence for the detected incident root cause %.2f%n",
incidentRootCause.getContributionScore());
}
});
Parameters:
detectionConfigurationId
- anomaly detection configuration unique id.
incidentId
- the incident for which you want to query root causes for.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
the list of root causes for that incident.
listIncidentsForAlert
public PagedIterable
Fetch the incidents in an alert.
Code sample
final String alertConfigurationId = "ff3014a0-bbbb-41ec-a637-677e77b81299";
final String alertId = "1746b031c00";
PagedIterable<AnomalyIncident> incidentsIterable = metricsAdvisorClient.listIncidentsForAlert(
alertConfigurationId,
alertId);
Stream<PagedResponse<AnomalyIncident>> incidentsPageStream = incidentsIterable.streamByPage();
int[] pageCount = new int[1];
incidentsPageStream.forEach(incidentsPage -> {
System.out.printf("Page: %d%n", pageCount[0]++);
IterableStream<AnomalyIncident> incidentsPageItems = incidentsPage.getElements();
for (AnomalyIncident anomalyIncident : incidentsPageItems) {
System.out.printf("Data Feed Metric Id: %s%n", anomalyIncident.getMetricId());
System.out.printf("Detection Configuration Id: %s%n", anomalyIncident.getDetectionConfigurationId());
System.out.printf("Anomaly Incident Id: %s%n", anomalyIncident.getId());
System.out.printf("Anomaly Incident Start Time: %s%n", anomalyIncident.getStartTime());
System.out.printf("Anomaly Incident AnomalySeverity: %s%n", anomalyIncident.getSeverity());
System.out.printf("Anomaly Incident Status: %s%n", anomalyIncident.getStatus());
System.out.printf("Root DataFeedDimension Key:");
DimensionKey rootDimension = anomalyIncident.getRootDimensionKey();
for (Map.Entry<String, String> dimension : rootDimension.asMap().entrySet()) {
System.out.printf("DimensionKey: %s DimensionValue:%s%n",
dimension.getKey(), dimension.getValue());
}
}
});
Parameters:
alertConfigurationId
- The anomaly alert configuration id.
alertId
- The alert id.
Returns:
The incidents.
listIncidentsForAlert
public PagedIterable
Fetch the incidents in an alert.
Code sample
final String alertConfigurationId = "ff3014a0-bbbb-41ec-a637-677e77b81299";
final String alertId = "1746b031c00";
final ListIncidentsAlertedOptions options = new ListIncidentsAlertedOptions()
.setMaxPageSize(10);
PagedIterable<AnomalyIncident> incidentsIterable = metricsAdvisorClient.listIncidentsForAlert(
alertConfigurationId,
alertId,
options,
Context.NONE);
Stream<PagedResponse<AnomalyIncident>> incidentsPageStream = incidentsIterable.streamByPage();
int[] pageCount = new int[1];
incidentsPageStream.forEach(incidentsPage -> {
System.out.printf("Page: %d%n", pageCount[0]++);
IterableStream<AnomalyIncident> incidentsPageItems = incidentsPage.getElements();
for (AnomalyIncident anomalyIncident : incidentsPageItems) {
System.out.printf("Data Feed Metric Id: %s%n", anomalyIncident.getMetricId());
System.out.printf("Detection Configuration Id: %s%n", anomalyIncident.getDetectionConfigurationId());
System.out.printf("Anomaly Incident Id: %s%n", anomalyIncident.getId());
System.out.printf("Anomaly Incident Start Time: %s%n", anomalyIncident.getStartTime());
System.out.printf("Anomaly Incident AnomalySeverity: %s%n", anomalyIncident.getSeverity());
System.out.printf("Anomaly Incident Status: %s%n", anomalyIncident.getStatus());
System.out.printf("Root DataFeedDimension Key:");
DimensionKey rootDimension = anomalyIncident.getRootDimensionKey();
for (Map.Entry<String, String> dimension : rootDimension.asMap().entrySet()) {
System.out.printf("DimensionKey: %s DimensionValue:%s%n",
dimension.getKey(), dimension.getValue());
}
}
});
Parameters:
alertConfigurationId
- The anomaly alert configuration id.
alertId
- The alert id.
options
- The additional parameters.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
The incidents.
listIncidentsForDetectionConfig
public PagedIterable
Fetch the incidents identified by an anomaly detection configuration.
Code sample
final String detectionConfigurationId = "c0f2539f-b804-4ab9-a70f-0da0c89c76d8";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T12:00:00Z");
PagedIterable<AnomalyIncident> incidentsIterable
= metricsAdvisorClient.listIncidentsForDetectionConfig(detectionConfigurationId, startTime, endTime);
for (AnomalyIncident anomalyIncident : incidentsIterable) {
System.out.printf("Data Feed Metric Id: %s%n", anomalyIncident.getMetricId());
System.out.printf("Detection Configuration Id: %s%n", anomalyIncident.getDetectionConfigurationId());
System.out.printf("Anomaly Incident Id: %s%n", anomalyIncident.getId());
System.out.printf("Anomaly Incident Start Time: %s%n", anomalyIncident.getStartTime());
System.out.printf("Anomaly Incident AnomalySeverity: %s%n", anomalyIncident.getSeverity());
System.out.printf("Anomaly Incident Status: %s%n", anomalyIncident.getStatus());
System.out.printf("Root DataFeedDimension Key: %s%n", anomalyIncident.getRootDimensionKey().asMap());
}
Parameters:
detectionConfigurationId
- The anomaly detection configuration id.
startTime
- The start time of the time range within which the incidents were detected.
endTime
- The end time of the time range within which the incidents were detected.
Returns:
The incidents.
listIncidentsForDetectionConfig
public PagedIterable
Fetch the incidents identified by an anomaly detection configuration.
Code sample
final String detectionConfigurationId = "c0f2539f-b804-4ab9-a70f-0da0c89c76d8";
final OffsetDateTime startTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T12:00:00Z");
final ListIncidentsDetectedOptions options = new ListIncidentsDetectedOptions()
.setMaxPageSize(1000);
PagedIterable<AnomalyIncident> incidentsIterable
= metricsAdvisorClient.listIncidentsForDetectionConfig(detectionConfigurationId,
startTime, endTime, options,
Context.NONE);
Stream<PagedResponse<AnomalyIncident>> incidentsPageStream = incidentsIterable.streamByPage();
int[] pageCount = new int[1];
incidentsPageStream.forEach(incidentsPage -> {
System.out.printf("Page: %d%n", pageCount[0]++);
IterableStream<AnomalyIncident> pageElements = incidentsPage.getElements();
for (AnomalyIncident anomalyIncident : pageElements) {
System.out.printf("Data Feed Metric Id: %s%n", anomalyIncident.getMetricId());
System.out.printf("Detection Configuration Id: %s%n", anomalyIncident.getDetectionConfigurationId());
System.out.printf("Anomaly Incident Id: %s%n", anomalyIncident.getId());
System.out.printf("Anomaly Incident Start Time: %s%n", anomalyIncident.getStartTime());
System.out.printf("Anomaly Incident AnomalySeverity: %s%n", anomalyIncident.getSeverity());
System.out.printf("Anomaly Incident Status: %s%n", anomalyIncident.getStatus());
System.out.printf("Root DataFeedDimension Key:");
System.out.printf("Root DataFeedDimension Key: %s%n", anomalyIncident.getRootDimensionKey().asMap());
}
});
Parameters:
detectionConfigurationId
- The anomaly detection configuration id.
startTime
- The start time of the time range within which the incidents were detected.
endTime
- The end time of the time range within which the incidents were detected.
options
- The additional parameters.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
The incidents.
listMetricDimensionValues
public PagedIterable
List dimension values from certain metric.
Code sample
final String metricId = "gh3014a0-41ec-a637-677e77b81455";
metricsAdvisorClient.listMetricDimensionValues(metricId, "category")
.forEach(System.out::println);
Parameters:
metricId
- metric unique id.
dimensionName
- the query dimension name.
Returns:
the PagedIterable<T> of the dimension values for that metric.
listMetricDimensionValues
public PagedIterable
List dimension values from certain metric.
Code sample
final String metricId = "gh3014a0-41ec-a637-677e77b81455";
metricsAdvisorClient.listMetricDimensionValues(metricId, "category",
new ListMetricDimensionValuesOptions().setDimensionValueToFilter("Electronics")
.setMaxPageSize(3), Context.NONE)
.forEach(System.out::println);
Parameters:
metricId
- metric unique id.
dimensionName
- the query dimension name.
options
- the additional parameters to specify while querying.
context
- Additional context that is passed through the HTTP pipeline during the service call.
Returns:
the PagedIterable<T> of the dimension values for that metric.
listMetricEnrichedSeriesData
public PagedIterable
Given a list of time series keys, retrieve time series version enriched using a detection configuration.
Code sample
final String detectionConfigurationId = "e87d899d-a5a0-4259-b752-11aea34d5e34";
final DimensionKey seriesKey = new DimensionKey()
.put("Dim1", "Common Lime")
.put("Dim2", "Antelope");
final OffsetDateTime startTime = OffsetDateTime.parse("2020-08-12T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-12T00:00:00Z");
PagedIterable<MetricEnrichedSeriesData> enrichedDataIterable
= metricsAdvisorClient.listMetricEnrichedSeriesData(detectionConfigurationId,
Arrays.asList(seriesKey),
startTime,
endTime);
for (MetricEnrichedSeriesData enrichedData : enrichedDataIterable) {
System.out.printf("Series Key %s%n:", enrichedData.getSeriesKey().asMap());
System.out.println("List of data points for this series");
System.out.println(enrichedData.getMetricValues());
System.out.println("Timestamps of the data related to this time series:");
System.out.println(enrichedData.getTimestamps());
System.out.println("The expected values of the data points calculated by the smart detector:");
System.out.println(enrichedData.getExpectedMetricValues());
System.out.println("The lower boundary values of the data points calculated by smart detector:");
System.out.println(enrichedData.getLowerBoundaryValues());
System.out.println("the periods calculated for the data points in the time series:");
System.out.println(enrichedData.getPeriods());
}
Parameters:
detectionConfigurationId
- The id of the configuration used to enrich the time series
identified by the keys in
seriesKeys.
seriesKeys
- The time series key list, each key identifies a specific time series.
startTime
- The start time.
endTime
- The end time.
Returns:
The enriched time series.
listMetricEnrichedSeriesData
public PagedIterable
Given a list of time series keys, retrieve time series version enriched using a detection configuration.
Code sample
final String detectionConfigurationId = "e87d899d-a5a0-4259-b752-11aea34d5e34";
final DimensionKey seriesKey = new DimensionKey()
.put("Dim1", "Common Lime")
.put("Dim2", "Antelope");
final OffsetDateTime startTime = OffsetDateTime.parse("2020-08-12T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-12T00:00:00Z");
PagedIterable<MetricEnrichedSeriesData> enrichedDataIterable
= metricsAdvisorClient.listMetricEnrichedSeriesData(detectionConfigurationId,
Arrays.asList(seriesKey),
startTime,
endTime);
Stream<PagedResponse<MetricEnrichedSeriesData>> enrichedDataPageStream
= enrichedDataIterable.streamByPage();
int[] pageCount = new int[1];
enrichedDataPageStream.forEach(enrichedDataPage -> {
System.out.printf("Page: %d%n", pageCount[0]++);
IterableStream<MetricEnrichedSeriesData> pageElements = enrichedDataPage.getElements();
for (MetricEnrichedSeriesData enrichedData : pageElements) {
System.out.printf("Series Key %s%n:", enrichedData.getSeriesKey().asMap());
System.out.println("List of data points for this series");
System.out.println(enrichedData.getMetricValues());
System.out.println("Timestamps of the data related to this time series:");
System.out.println(enrichedData.getTimestamps());
System.out.println("The expected values of the data points calculated by the smart detector:");
System.out.println(enrichedData.getExpectedMetricValues());
System.out.println("The lower boundary values of the data points calculated by smart detector:");
System.out.println(enrichedData.getLowerBoundaryValues());
System.out.println("the periods calculated for the data points in the time series:");
System.out.println(enrichedData.getPeriods());
}
});
Parameters:
detectionConfigurationId
- The id of the configuration used to enrich the time series
identified by the keys in
seriesKeys.
seriesKeys
- The time series key list, each key identifies a specific time series.
startTime
- The start time of the time range within which the enriched data is returned.
endTime
- The end time of the time range within which the enriched data is returned.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
The enriched time series.
listMetricEnrichmentStatus
public PagedIterable
List the enrichment status for a metric.
Code sample
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final String metricId = "d3gh4i4-b804-4ab9-a70f-0da0c89cft3l";
metricsAdvisorClient.listMetricEnrichmentStatus(metricId, startTime, endTime)
.forEach(enrichmentStatus -> {
System.out.printf("Data Feed Metric enrichment status : %s%n", enrichmentStatus.getStatus());
System.out.printf("Data Feed Metric enrichment status message: %s%n", enrichmentStatus.getMessage());
System.out.printf("Data Feed Metric enrichment status data slice timestamp : %s%n",
enrichmentStatus.getTimestamp());
});
Parameters:
metricId
- metric unique id.
startTime
- The start time for querying the time series data.
endTime
- The end time for querying the time series data.
Returns:
the list of enrichment status's for the specified metric.
listMetricEnrichmentStatus
public PagedIterable
List the enrichment status for a metric.
Code sample
final OffsetDateTime startTime = OffsetDateTime.parse("2020-01-01T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final String metricId = "d3gh4i4-b804-4ab9-a70f-0da0c89cft3l";
final ListMetricEnrichmentStatusOptions options = new ListMetricEnrichmentStatusOptions().setMaxPageSize(10);
metricsAdvisorClient.listMetricEnrichmentStatus(metricId, startTime, endTime, options, Context.NONE)
.forEach(enrichmentStatus -> {
System.out.printf("Data Feed Metric enrichment status : %s%n", enrichmentStatus.getStatus());
System.out.printf("Data Feed Metric enrichment status message: %s%n", enrichmentStatus.getMessage());
System.out.printf("Data Feed Metric enrichment status data slice timestamp : %s%n",
enrichmentStatus.getTimestamp());
});
Parameters:
metricId
- metric unique id.
startTime
- The start time for querying the time series data.
endTime
- The end time for querying the time series data.
options
- the additional configurable options to specify when querying the result.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
the list of enrichment status's for the specified metric.
listMetricSeriesData
public PagedIterable
Get time series data from metric.
Code sample
final OffsetDateTime startTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T12:00:00Z");
metricsAdvisorClient.listMetricSeriesData("metricId",
Arrays.asList(new DimensionKey(new HashMap<String, String>() {{
put("Dim1", "value1");
}})), startTime, endTime)
.forEach(metricSeriesData -> {
System.out.println("List of data points for this series:");
System.out.println(metricSeriesData.getMetricValues());
System.out.println("Timestamps of the data related to this time series:");
System.out.println(metricSeriesData.getTimestamps());
System.out.printf("Series Key:");
System.out.println(metricSeriesData.getSeriesKey().asMap());
});
Parameters:
metricId
- metric unique id.
seriesKeys
- the series key to filter.
This enables additional filtering of dimension values being queried.
For example, let's say we've the dimensions 'category' and 'city',
so the api can query value of the dimension 'category', with series key as 'city=redmond'.
startTime
- The start time for querying the time series data.
endTime
- The end time for querying the time series data.
Returns:
A PagedIterable<T> of the MetricSeriesData.
listMetricSeriesData
public PagedIterable
Get time series data from metric.
Code sample
final OffsetDateTime startTime = OffsetDateTime.parse("2020-09-09T00:00:00Z");
final OffsetDateTime endTime = OffsetDateTime.parse("2020-09-09T12:00:00Z");
metricsAdvisorClient.listMetricSeriesData("metricId",
Arrays.asList(new DimensionKey(new HashMap<String, String>() {{
put("Dim1", "value1");
}})), startTime, endTime)
.forEach(metricSeriesData -> {
System.out.printf("Data feed Id: %s%n", metricSeriesData.getMetricId());
System.out.printf("Data feed description: %s%n", metricSeriesData.getSeriesKey());
System.out.printf("Data feed source type: %.2f%n", metricSeriesData.getTimestamps());
System.out.printf("Data feed creator: %.2f%n", metricSeriesData.getMetricValues());
});
Parameters:
metricId
- metric unique id.
seriesKeys
- the series key to filter.
This enables additional filtering of dimension values being queried.
For example, let's say we've the dimensions 'category' and 'city',
so the api can query value of the dimension 'category', with series key as 'city=redmond'.
startTime
- The start time for querying the time series data.
endTime
- The end time for querying the time series data.
context
- Additional context that is passed through the Http pipeline during the service call.
Returns:
A PagedIterable<T> of the MetricSeriesData.
listMetricSeriesDefinitions
public PagedIterable
List series (dimension combinations) from metric.
Code sample
final OffsetDateTime activeSince = OffsetDateTime.parse("2020-07-10T00:00:00Z");
metricsAdvisorClient.listMetricSeriesDefinitions(
"metricId",
activeSince)
.forEach(metricSeriesDefinition -> {
System.out.printf("Data Feed Metric id for the retrieved series definition : %s%n",
metricSeriesDefinition.getMetricId());
System.out.printf("Data Feed Metric dimension: %s%n", metricSeriesDefinition.getSeriesKey().asMap());
});
Parameters:
metricId
- metric unique id.
activeSince
- the start time for querying series ingested after this time.
Returns:
A PagedIterable<T> of the MetricSeriesDefinition.
listMetricSeriesDefinitions
public PagedIterable
List series (dimension combinations) from metric.
Code sample
String metricId = "b460abfc-7a58-47d7-9d99-21ee21fdfc6e";
final OffsetDateTime activeSince = OffsetDateTime.parse("2020-07-10T00:00:00Z");
final ListMetricSeriesDefinitionOptions options
= new ListMetricSeriesDefinitionOptions()
.setMaxPageSize(10)
.setDimensionCombinationToFilter(new HashMap<String, List<String>>() {{
put("Dim2", Collections.singletonList("Angelfish"));
}});
metricsAdvisorClient.listMetricSeriesDefinitions(metricId, activeSince, options, Context.NONE)
.forEach(metricSeriesDefinition -> {
System.out.printf("Data Feed Metric id for the retrieved series definition : %s%n",
metricSeriesDefinition.getMetricId());
System.out.printf("Series Key:");
System.out.println(metricSeriesDefinition.getSeriesKey().asMap());
});
Parameters:
metricId
- metric unique id.
activeSince
- the start time for querying series ingested after this time.
options
- the additional filtering attributes that can be provided to query the series.
context
- Additional context that is passed through the HTTP pipeline during the service call.
Returns:
A PagedIterable<T> of the MetricSeriesDefinition.
Applies to
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Azure SDK for Java