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api-clients-generation-pipeline[bot]ci.datadog-api-spec
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ci.datadog-api-spec
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Regenerate client from commit fc2584f of spec repo (#3688)
Co-authored-by: ci.datadog-api-spec <packages@datadoghq.com>
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144 files changed

Lines changed: 9610 additions & 17 deletions

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‎.generator/schemas/v2/openapi.yaml‎

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‎examples/v2/metrics/QueryScalarData_1479548882.java‎

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// Scalar cross product query with apm_resource_stats data source returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
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import com.datadog.api.client.v2.api.MetricsApi;
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import com.datadog.api.client.v2.model.ApmResourceStatName;
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import com.datadog.api.client.v2.model.ApmResourceStatsDataSource;
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import com.datadog.api.client.v2.model.ApmResourceStatsQuery;
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import com.datadog.api.client.v2.model.FormulaLimit;
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import com.datadog.api.client.v2.model.QueryFormula;
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import com.datadog.api.client.v2.model.QuerySortOrder;
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import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
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import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
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import com.datadog.api.client.v2.model.ScalarFormulaRequest;
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import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
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import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
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import com.datadog.api.client.v2.model.ScalarQuery;
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import java.util.Collections;
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public class Example {
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public static void main(String[] args) {
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ApiClient defaultClient = ApiClient.getDefaultApiClient();
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MetricsApi apiInstance = new MetricsApi(defaultClient);
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ScalarFormulaQueryRequest body =
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new ScalarFormulaQueryRequest()
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.data(
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new ScalarFormulaRequest()
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.attributes(
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new ScalarFormulaRequestAttributes()
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.formulas(
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Collections.singletonList(
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new QueryFormula()
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.formula("a")
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.limit(
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new FormulaLimit()
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.count(10)
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.order(QuerySortOrder.DESC))))
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.from(1636625471000L)
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.queries(
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Collections.singletonList(
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new ScalarQuery(
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new ApmResourceStatsQuery()
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.dataSource(
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ApmResourceStatsDataSource.APM_RESOURCE_STATS)
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.name("a")
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.env("staging")
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.service("azure-bill-import")
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.stat(ApmResourceStatName.HITS)
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.operationName("cassandra.query")
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.groupBy(Collections.singletonList("resource_name"))
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.primaryTagName("datacenter")
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.primaryTagValue("*"))))
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.to(1636629071000L))
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.type(ScalarFormulaRequestType.SCALAR_REQUEST));
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try {
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ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
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System.out.println(result);
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} catch (ApiException e) {
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System.err.println("Exception when calling MetricsApi#queryScalarData");
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System.err.println("Status code: " + e.getCode());
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System.err.println("Reason: " + e.getResponseBody());
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System.err.println("Response headers: " + e.getResponseHeaders());
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e.printStackTrace();
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}
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}
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}

‎examples/v2/metrics/QueryScalarData_1904811219.java‎

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// Scalar cross product query with apm_metrics data source returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
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import com.datadog.api.client.v2.api.MetricsApi;
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import com.datadog.api.client.v2.model.ApmMetricsDataSource;
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import com.datadog.api.client.v2.model.ApmMetricsQuery;
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import com.datadog.api.client.v2.model.ApmMetricsStat;
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import com.datadog.api.client.v2.model.FormulaLimit;
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import com.datadog.api.client.v2.model.QueryFormula;
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import com.datadog.api.client.v2.model.QuerySortOrder;
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import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
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import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
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import com.datadog.api.client.v2.model.ScalarFormulaRequest;
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import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
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import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
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import com.datadog.api.client.v2.model.ScalarQuery;
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import java.util.Collections;
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public class Example {
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public static void main(String[] args) {
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ApiClient defaultClient = ApiClient.getDefaultApiClient();
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MetricsApi apiInstance = new MetricsApi(defaultClient);
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ScalarFormulaQueryRequest body =
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new ScalarFormulaQueryRequest()
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.data(
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new ScalarFormulaRequest()
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.attributes(
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new ScalarFormulaRequestAttributes()
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.formulas(
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Collections.singletonList(
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new QueryFormula()
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.formula("a")
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.limit(
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new FormulaLimit()
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.count(10)
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.order(QuerySortOrder.DESC))))
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.from(1636625471000L)
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.queries(
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Collections.singletonList(
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new ScalarQuery(
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new ApmMetricsQuery()
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.dataSource(ApmMetricsDataSource.APM_METRICS)
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.name("a")
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.stat(ApmMetricsStat.HITS)
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.service("web-store")
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.queryFilter("env:prod")
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.groupBy(Collections.singletonList("resource_name")))))
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.to(1636629071000L))
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.type(ScalarFormulaRequestType.SCALAR_REQUEST));
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try {
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ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
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System.out.println(result);
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} catch (ApiException e) {
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System.err.println("Exception when calling MetricsApi#queryScalarData");
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System.err.println("Status code: " + e.getCode());
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System.err.println("Reason: " + e.getResponseBody());
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System.err.println("Response headers: " + e.getResponseHeaders());
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e.printStackTrace();
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}
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}
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}

‎examples/v2/metrics/QueryScalarData_2298288525.java‎

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// Scalar cross product query with slo data source returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
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import com.datadog.api.client.v2.api.MetricsApi;
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import com.datadog.api.client.v2.model.FormulaLimit;
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import com.datadog.api.client.v2.model.QueryFormula;
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import com.datadog.api.client.v2.model.QuerySortOrder;
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import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
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import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
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import com.datadog.api.client.v2.model.ScalarFormulaRequest;
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import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
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import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
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import com.datadog.api.client.v2.model.ScalarQuery;
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import com.datadog.api.client.v2.model.SloDataSource;
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import com.datadog.api.client.v2.model.SloQuery;
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import com.datadog.api.client.v2.model.SlosGroupMode;
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import com.datadog.api.client.v2.model.SlosMeasure;
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import com.datadog.api.client.v2.model.SlosQueryType;
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import java.util.Collections;
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public class Example {
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public static void main(String[] args) {
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ApiClient defaultClient = ApiClient.getDefaultApiClient();
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MetricsApi apiInstance = new MetricsApi(defaultClient);
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ScalarFormulaQueryRequest body =
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new ScalarFormulaQueryRequest()
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.data(
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new ScalarFormulaRequest()
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.attributes(
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new ScalarFormulaRequestAttributes()
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.formulas(
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Collections.singletonList(
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new QueryFormula()
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.formula("a")
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.limit(
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new FormulaLimit()
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.count(10)
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.order(QuerySortOrder.DESC))))
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.from(1636625471000L)
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.queries(
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Collections.singletonList(
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new ScalarQuery(
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new SloQuery()
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.dataSource(SloDataSource.SLO)
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.name("a")
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.sloId("12345678910")
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.measure(SlosMeasure.SLO_STATUS)
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.sloQueryType(SlosQueryType.METRIC)
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.groupMode(SlosGroupMode.OVERALL)
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.additionalQueryFilters("*"))))
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.to(1636629071000L))
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.type(ScalarFormulaRequestType.SCALAR_REQUEST));
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try {
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ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
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System.out.println(result);
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} catch (ApiException e) {
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System.err.println("Exception when calling MetricsApi#queryScalarData");
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System.err.println("Status code: " + e.getCode());
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System.err.println("Reason: " + e.getResponseBody());
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System.err.println("Response headers: " + e.getResponseHeaders());
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e.printStackTrace();
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}
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}
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}

‎examples/v2/metrics/QueryScalarData_2312509843.java‎

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// Scalar cross product query with rum data source returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
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import com.datadog.api.client.v2.api.MetricsApi;
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import com.datadog.api.client.v2.model.EventsAggregation;
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import com.datadog.api.client.v2.model.EventsCompute;
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import com.datadog.api.client.v2.model.EventsDataSource;
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import com.datadog.api.client.v2.model.EventsScalarQuery;
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import com.datadog.api.client.v2.model.EventsSearch;
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import com.datadog.api.client.v2.model.FormulaLimit;
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import com.datadog.api.client.v2.model.QueryFormula;
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import com.datadog.api.client.v2.model.QuerySortOrder;
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import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
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import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
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import com.datadog.api.client.v2.model.ScalarFormulaRequest;
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import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
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import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
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import com.datadog.api.client.v2.model.ScalarQuery;
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import java.util.Collections;
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public class Example {
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public static void main(String[] args) {
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ApiClient defaultClient = ApiClient.getDefaultApiClient();
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MetricsApi apiInstance = new MetricsApi(defaultClient);
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ScalarFormulaQueryRequest body =
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new ScalarFormulaQueryRequest()
29+
.data(
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new ScalarFormulaRequest()
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.attributes(
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new ScalarFormulaRequestAttributes()
33+
.formulas(
34+
Collections.singletonList(
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new QueryFormula()
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.formula("a")
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.limit(
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new FormulaLimit()
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.count(10)
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.order(QuerySortOrder.DESC))))
41+
.from(1636625471000L)
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.queries(
43+
Collections.singletonList(
44+
new ScalarQuery(
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new EventsScalarQuery()
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.dataSource(EventsDataSource.RUM)
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.name("a")
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.compute(
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new EventsCompute()
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.aggregation(EventsAggregation.COUNT))
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.search(new EventsSearch().query("*"))
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.indexes(Collections.singletonList("*")))))
53+
.to(1636629071000L))
54+
.type(ScalarFormulaRequestType.SCALAR_REQUEST));
55+
56+
try {
57+
ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
58+
System.out.println(result);
59+
} catch (ApiException e) {
60+
System.err.println("Exception when calling MetricsApi#queryScalarData");
61+
System.err.println("Status code: " + e.getCode());
62+
System.err.println("Reason: " + e.getResponseBody());
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System.err.println("Response headers: " + e.getResponseHeaders());
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e.printStackTrace();
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}
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}
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}

‎examples/v2/metrics/QueryScalarData_2398494003.java‎

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// Scalar cross product query with ci_pipelines data source returns "OK" response
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import com.datadog.api.client.ApiClient;
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import com.datadog.api.client.ApiException;
5+
import com.datadog.api.client.v2.api.MetricsApi;
6+
import com.datadog.api.client.v2.model.EventsAggregation;
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import com.datadog.api.client.v2.model.EventsCompute;
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import com.datadog.api.client.v2.model.EventsDataSource;
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import com.datadog.api.client.v2.model.EventsScalarQuery;
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import com.datadog.api.client.v2.model.EventsSearch;
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import com.datadog.api.client.v2.model.FormulaLimit;
12+
import com.datadog.api.client.v2.model.QueryFormula;
13+
import com.datadog.api.client.v2.model.QuerySortOrder;
14+
import com.datadog.api.client.v2.model.ScalarFormulaQueryRequest;
15+
import com.datadog.api.client.v2.model.ScalarFormulaQueryResponse;
16+
import com.datadog.api.client.v2.model.ScalarFormulaRequest;
17+
import com.datadog.api.client.v2.model.ScalarFormulaRequestAttributes;
18+
import com.datadog.api.client.v2.model.ScalarFormulaRequestType;
19+
import com.datadog.api.client.v2.model.ScalarQuery;
20+
import java.util.Collections;
21+
22+
public class Example {
23+
public static void main(String[] args) {
24+
ApiClient defaultClient = ApiClient.getDefaultApiClient();
25+
MetricsApi apiInstance = new MetricsApi(defaultClient);
26+
27+
ScalarFormulaQueryRequest body =
28+
new ScalarFormulaQueryRequest()
29+
.data(
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new ScalarFormulaRequest()
31+
.attributes(
32+
new ScalarFormulaRequestAttributes()
33+
.formulas(
34+
Collections.singletonList(
35+
new QueryFormula()
36+
.formula("a")
37+
.limit(
38+
new FormulaLimit()
39+
.count(10)
40+
.order(QuerySortOrder.DESC))))
41+
.from(1636625471000L)
42+
.queries(
43+
Collections.singletonList(
44+
new ScalarQuery(
45+
new EventsScalarQuery()
46+
.dataSource(EventsDataSource.CI_PIPELINES)
47+
.name("a")
48+
.compute(
49+
new EventsCompute()
50+
.aggregation(EventsAggregation.COUNT))
51+
.search(new EventsSearch().query("*"))
52+
.indexes(Collections.singletonList("*")))))
53+
.to(1636629071000L))
54+
.type(ScalarFormulaRequestType.SCALAR_REQUEST));
55+
56+
try {
57+
ScalarFormulaQueryResponse result = apiInstance.queryScalarData(body);
58+
System.out.println(result);
59+
} catch (ApiException e) {
60+
System.err.println("Exception when calling MetricsApi#queryScalarData");
61+
System.err.println("Status code: " + e.getCode());
62+
System.err.println("Reason: " + e.getResponseBody());
63+
System.err.println("Response headers: " + e.getResponseHeaders());
64+
e.printStackTrace();
65+
}
66+
}
67+
}

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