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ci.datadog-api-spec
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Regenerate client from commit 85a84a0 of spec repo
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‎.generator/schemas/v2/openapi.yaml‎

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‎examples/v1/dashboards/CreateDashboard_1705253330.java‎

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// Create a new dashboard with timeseries widget using has_value_labels
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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.v1.api.DashboardsApi;
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import com.datadog.api.client.v1.model.Dashboard;
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import com.datadog.api.client.v1.model.DashboardLayoutType;
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import com.datadog.api.client.v1.model.TimeseriesRequestStyle;
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import com.datadog.api.client.v1.model.TimeseriesWidgetDefinition;
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import com.datadog.api.client.v1.model.TimeseriesWidgetDefinitionType;
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import com.datadog.api.client.v1.model.TimeseriesWidgetRequest;
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import com.datadog.api.client.v1.model.Widget;
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import com.datadog.api.client.v1.model.WidgetDefinition;
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import com.datadog.api.client.v1.model.WidgetDisplayType;
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import com.datadog.api.client.v1.model.WidgetLineType;
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import com.datadog.api.client.v1.model.WidgetLineWidth;
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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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DashboardsApi apiInstance = new DashboardsApi(defaultClient);
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Dashboard body =
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new Dashboard()
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.layoutType(DashboardLayoutType.ORDERED)
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.title("Example-Dashboard with has_value_labels")
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.widgets(
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Collections.singletonList(
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new Widget()
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.definition(
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new WidgetDefinition(
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new TimeseriesWidgetDefinition()
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.type(TimeseriesWidgetDefinitionType.TIMESERIES)
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.requests(
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Collections.singletonList(
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new TimeseriesWidgetRequest()
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.q("avg:system.cpu.user{*} by {host}")
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.style(
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new TimeseriesRequestStyle()
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.palette("dog_classic")
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.lineType(WidgetLineType.SOLID)
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.lineWidth(WidgetLineWidth.NORMAL)
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.hasValueLabels(true))
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.displayType(WidgetDisplayType.LINE)))))));
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try {
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Dashboard result = apiInstance.createDashboard(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 DashboardsApi#createDashboard");
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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/product-analytics/QueryProductAnalyticsScalar.java‎

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// Compute scalar analytics 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.ProductAnalyticsApi;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsQuery;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsRequest;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsRequestAttributes;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsRequestData;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsRequestType;
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import com.datadog.api.client.v2.model.ProductAnalyticsBaseQuery;
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import com.datadog.api.client.v2.model.ProductAnalyticsCompute;
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import com.datadog.api.client.v2.model.ProductAnalyticsEventQuery;
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import com.datadog.api.client.v2.model.ProductAnalyticsEventQueryDataSource;
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import com.datadog.api.client.v2.model.ProductAnalyticsEventSearch;
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import com.datadog.api.client.v2.model.ProductAnalyticsScalarResponse;
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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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ProductAnalyticsApi apiInstance = new ProductAnalyticsApi(defaultClient);
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ProductAnalyticsAnalyticsRequest body =
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new ProductAnalyticsAnalyticsRequest()
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.data(
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new ProductAnalyticsAnalyticsRequestData()
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.attributes(
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new ProductAnalyticsAnalyticsRequestAttributes()
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.from(1771232048460L)
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.query(
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new ProductAnalyticsAnalyticsQuery()
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.compute(new ProductAnalyticsCompute().aggregation("count"))
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.query(
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new ProductAnalyticsBaseQuery(
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new ProductAnalyticsEventQuery()
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.dataSource(
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ProductAnalyticsEventQueryDataSource
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.PRODUCT_ANALYTICS)
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.search(
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new ProductAnalyticsEventSearch()
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.query("@type:view")))))
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.to(1771836848262L))
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.type(ProductAnalyticsAnalyticsRequestType.FORMULA_ANALYTICS_EXTENDED_REQUEST));
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try {
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ProductAnalyticsScalarResponse result = apiInstance.queryProductAnalyticsScalar(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 ProductAnalyticsApi#queryProductAnalyticsScalar");
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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/product-analytics/QueryProductAnalyticsTimeseries.java‎

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// Compute timeseries analytics 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.ProductAnalyticsApi;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsQuery;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsRequest;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsRequestAttributes;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsRequestData;
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import com.datadog.api.client.v2.model.ProductAnalyticsAnalyticsRequestType;
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import com.datadog.api.client.v2.model.ProductAnalyticsBaseQuery;
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import com.datadog.api.client.v2.model.ProductAnalyticsCompute;
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import com.datadog.api.client.v2.model.ProductAnalyticsEventQuery;
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import com.datadog.api.client.v2.model.ProductAnalyticsEventQueryDataSource;
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import com.datadog.api.client.v2.model.ProductAnalyticsEventSearch;
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import com.datadog.api.client.v2.model.ProductAnalyticsTimeseriesResponse;
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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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ProductAnalyticsApi apiInstance = new ProductAnalyticsApi(defaultClient);
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ProductAnalyticsAnalyticsRequest body =
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new ProductAnalyticsAnalyticsRequest()
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.data(
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new ProductAnalyticsAnalyticsRequestData()
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.attributes(
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new ProductAnalyticsAnalyticsRequestAttributes()
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.from(1771232048460L)
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.query(
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new ProductAnalyticsAnalyticsQuery()
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.compute(new ProductAnalyticsCompute().aggregation("count"))
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.query(
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new ProductAnalyticsBaseQuery(
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new ProductAnalyticsEventQuery()
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.dataSource(
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ProductAnalyticsEventQueryDataSource
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.PRODUCT_ANALYTICS)
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.search(
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new ProductAnalyticsEventSearch()
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.query("@type:view")))))
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.to(1771836848262L))
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.type(ProductAnalyticsAnalyticsRequestType.FORMULA_ANALYTICS_EXTENDED_REQUEST));
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try {
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ProductAnalyticsTimeseriesResponse result = apiInstance.queryProductAnalyticsTimeseries(body);
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System.out.println(result);
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} catch (ApiException e) {
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System.err.println(
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"Exception when calling ProductAnalyticsApi#queryProductAnalyticsTimeseries");
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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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}

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