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Add query type schemas for timeseries-query data sources #3688

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575 changes: 575 additions & 0 deletions .generator/schemas/v2/openapi.yaml
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68 changes: 68 additions & 0 deletions examples/v2/metrics/QueryScalarData_1479548882.java
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// Scalar cross product query with apm_resource_stats data source returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.ApmResourceStatName;
import com.datadog.api.client.v2.model.ApmResourceStatsDataSource;
import com.datadog.api.client.v2.model.ApmResourceStatsQuery;
import com.datadog.api.client.v2.model.FormulaLimit;
import com.datadog.api.client.v2.model.QueryFormula;
import com.datadog.api.client.v2.model.QuerySortOrder;
import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
import com.datadog.api.client.v2.model.ScalarFormulaRequest;
import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
import com.datadog.api.client.v2.model.ScalarQuery;
import java.util.Collections;

public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
MetricsApi apiInstance = new MetricsApi(defaultClient);

ScalarFormulaQueryRequest body =
new ScalarFormulaQueryRequest()
.data(
new ScalarFormulaRequest()
.attributes(
new ScalarFormulaRequestAttributes()
.formulas(
Collections.singletonList(
new QueryFormula()
.formula("a")
.limit(
new FormulaLimit()
.count(10)
.order(QuerySortOrder.DESC))))
.from(1636625471000L)
.queries(
Collections.singletonList(
new ScalarQuery(
new ApmResourceStatsQuery()
.dataSource(
ApmResourceStatsDataSource.APM_RESOURCE_STATS)
.name("a")
.env("staging")
.service("azure-bill-import")
.stat(ApmResourceStatName.HITS)
.operationName("cassandra.query")
.groupBy(Collections.singletonList("resource_name"))
.primaryTagName("datacenter")
.primaryTagValue("*"))))
.to(1636629071000L))
.type(ScalarFormulaRequestType.SCALAR_REQUEST));

try {
ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling MetricsApi#queryScalarData");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
64 changes: 64 additions & 0 deletions examples/v2/metrics/QueryScalarData_1904811219.java
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// Scalar cross product query with apm_metrics data source returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.ApmMetricsDataSource;
import com.datadog.api.client.v2.model.ApmMetricsQuery;
import com.datadog.api.client.v2.model.ApmMetricsStat;
import com.datadog.api.client.v2.model.FormulaLimit;
import com.datadog.api.client.v2.model.QueryFormula;
import com.datadog.api.client.v2.model.QuerySortOrder;
import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
import com.datadog.api.client.v2.model.ScalarFormulaRequest;
import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
import com.datadog.api.client.v2.model.ScalarQuery;
import java.util.Collections;

public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
MetricsApi apiInstance = new MetricsApi(defaultClient);

ScalarFormulaQueryRequest body =
new ScalarFormulaQueryRequest()
.data(
new ScalarFormulaRequest()
.attributes(
new ScalarFormulaRequestAttributes()
.formulas(
Collections.singletonList(
new QueryFormula()
.formula("a")
.limit(
new FormulaLimit()
.count(10)
.order(QuerySortOrder.DESC))))
.from(1636625471000L)
.queries(
Collections.singletonList(
new ScalarQuery(
new ApmMetricsQuery()
.dataSource(ApmMetricsDataSource.APM_METRICS)
.name("a")
.stat(ApmMetricsStat.HITS)
.service("web-store")
.queryFilter("env:prod")
.groupBy(Collections.singletonList("resource_name")))))
.to(1636629071000L))
.type(ScalarFormulaRequestType.SCALAR_REQUEST));

try {
ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling MetricsApi#queryScalarData");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
67 changes: 67 additions & 0 deletions examples/v2/metrics/QueryScalarData_2298288525.java
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// Scalar cross product query with slo data source returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.FormulaLimit;
import com.datadog.api.client.v2.model.QueryFormula;
import com.datadog.api.client.v2.model.QuerySortOrder;
import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
import com.datadog.api.client.v2.model.ScalarFormulaRequest;
import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
import com.datadog.api.client.v2.model.ScalarQuery;
import com.datadog.api.client.v2.model.SloDataSource;
import com.datadog.api.client.v2.model.SloQuery;
import com.datadog.api.client.v2.model.SlosGroupMode;
import com.datadog.api.client.v2.model.SlosMeasure;
import com.datadog.api.client.v2.model.SlosQueryType;
import java.util.Collections;

public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
MetricsApi apiInstance = new MetricsApi(defaultClient);

ScalarFormulaQueryRequest body =
new ScalarFormulaQueryRequest()
.data(
new ScalarFormulaRequest()
.attributes(
new ScalarFormulaRequestAttributes()
.formulas(
Collections.singletonList(
new QueryFormula()
.formula("a")
.limit(
new FormulaLimit()
.count(10)
.order(QuerySortOrder.DESC))))
.from(1636625471000L)
.queries(
Collections.singletonList(
new ScalarQuery(
new SloQuery()
.dataSource(SloDataSource.SLO)
.name("a")
.sloId("12345678910")
.measure(SlosMeasure.SLO_STATUS)
.sloQueryType(SlosQueryType.METRIC)
.groupMode(SlosGroupMode.OVERALL)
.additionalQueryFilters("*"))))
.to(1636629071000L))
.type(ScalarFormulaRequestType.SCALAR_REQUEST));

try {
ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling MetricsApi#queryScalarData");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
72 changes: 72 additions & 0 deletions examples/v2/metrics/QueryScalarData_2533499017.java
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// Scalar cross product query with apm_dependency_stats data source returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.ApmDependencyStatName;
import com.datadog.api.client.v2.model.ApmDependencyStatsDataSource;
import com.datadog.api.client.v2.model.ApmDependencyStatsQuery;
import com.datadog.api.client.v2.model.FormulaLimit;
import com.datadog.api.client.v2.model.QueryFormula;
import com.datadog.api.client.v2.model.QuerySortOrder;
import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
import com.datadog.api.client.v2.model.ScalarFormulaRequest;
import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
import com.datadog.api.client.v2.model.ScalarQuery;
import java.util.Collections;

public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
MetricsApi apiInstance = new MetricsApi(defaultClient);

ScalarFormulaQueryRequest body =
new ScalarFormulaQueryRequest()
.data(
new ScalarFormulaRequest()
.attributes(
new ScalarFormulaRequestAttributes()
.formulas(
Collections.singletonList(
new QueryFormula()
.formula("a")
.limit(
new FormulaLimit()
.count(10)
.order(QuerySortOrder.DESC))))
.from(1636625471000L)
.queries(
Collections.singletonList(
new ScalarQuery(
new ApmDependencyStatsQuery()
.dataSource(
ApmDependencyStatsDataSource.APM_DEPENDENCY_STATS)
.name("a")
.env("ci")
.service("cassandra")
.stat(ApmDependencyStatName.AVG_DURATION)
.operationName("cassandra.query")
.resourceName(
"DELETE FROM"
+ " monitor_history.monitor_state_change_history"
+ " WHERE org_id = ? AND monitor_id IN ? AND"
+ " group = ?")
.primaryTagName("datacenter")
.primaryTagValue("edge-eu1.prod.dog"))))
.to(1636629071000L))
.type(ScalarFormulaRequestType.SCALAR_REQUEST));

try {
ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling MetricsApi#queryScalarData");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
64 changes: 64 additions & 0 deletions examples/v2/metrics/QueryScalarData_4230617918.java
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// Scalar cross product query with process data source returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.FormulaLimit;
import com.datadog.api.client.v2.model.ProcessDataSource;
import com.datadog.api.client.v2.model.ProcessScalarQuery;
import com.datadog.api.client.v2.model.QueryFormula;
import com.datadog.api.client.v2.model.QuerySortOrder;
import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
import com.datadog.api.client.v2.model.ScalarFormulaRequest;
import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
import com.datadog.api.client.v2.model.ScalarQuery;
import java.util.Collections;

public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
MetricsApi apiInstance = new MetricsApi(defaultClient);

ScalarFormulaQueryRequest body =
new ScalarFormulaQueryRequest()
.data(
new ScalarFormulaRequest()
.attributes(
new ScalarFormulaRequestAttributes()
.formulas(
Collections.singletonList(
new QueryFormula()
.formula("a")
.limit(
new FormulaLimit()
.count(10)
.order(QuerySortOrder.DESC))))
.from(1636625471000L)
.queries(
Collections.singletonList(
new ScalarQuery(
new ProcessScalarQuery()
.dataSource(ProcessDataSource.PROCESS)
.name("a")
.metric("process.stat.cpu.total_pct")
.textFilter("")
.limit(10L)
.sort("desc")
.isNormalizedCpu(false))))
.to(1636629071000L))
.type(ScalarFormulaRequestType.SCALAR_REQUEST));

try {
ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling MetricsApi#queryScalarData");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
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