ダッシュボード

API を介してすべてのダッシュボードを簡単に整理、検索、およびチームや組織と共有できます。

Create a new dashboard

v1 (latest)

POST https://api.datadoghq.eu/api/v1/dashboardhttps://api.ddog-gov.com/api/v1/dashboardhttps://api.datadoghq.com/api/v1/dashboardhttps://api.us3.datadoghq.com/api/v1/dashboardhttps://api.us5.datadoghq.com/api/v1/dashboard

概要

指定されたオプションを使用してダッシュボードを作成します。ウィジェットでクエリを定義するときは、どのクエリに as_count() または as_rate() 修飾子を追加する必要があるかに注意してください。これらの修飾子の詳細については、次のドキュメントを参照してください。 This endpoint requires the dashboards_write authorization scope.

リクエスト

Body Data (required)

ダッシュボードのリクエスト本文を作成します。

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フィールド

種類

説明

author_handle

string

Identifier of the dashboard author.

author_name

string

Name of the dashboard author.

created_at

date-time

Creation date of the dashboard.

description

string

Description of the dashboard.

string

ID of the dashboard.

is_read_only

boolean

DEPRECATED: Whether this dashboard is read-only. If True, only the author and admins can make changes to it. Prefer using restricted_roles to manage write authorization.

layout_type [required]

enum

Layout type of the dashboard. Allowed enum values: ordered,free

modified_at

date-time

Modification date of the dashboard.

notify_list

[string]

List of handles of users to notify when changes are made to this dashboard.

reflow_type

enum

Reflow type for a new dashboard layout dashboard. Set this only when layout type is 'ordered'. If set to 'fixed', the dashboard expects all widgets to have a layout, and if it's set to 'auto', widgets should not have layouts. Allowed enum values: auto,fixed

restricted_roles

[string]

A list of role identifiers. Only the author and users associated with at least one of these roles can edit this dashboard.

template_variable_presets

[object]

Array of template variables saved views.

template_variables

[object]

List of template variables for this dashboard.

title [required]

string

Title of the dashboard.

url

string

The URL of the dashboard.

widgets [required]

[object]

List of widgets to display on the dashboard.

{
  "title": "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_APM_Stats",
  "description": "",
  "widgets": [
    {
      "definition": {
        "title": "APM Stats - Request latency HOP",
        "title_size": "16",
        "title_align": "left",
        "show_legend": false,
        "type": "distribution",
        "xaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "yaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "requests": [
          {
            "query": {
              "primary_tag_value": "*",
              "stat": "latency_distribution",
              "data_source": "apm_resource_stats",
              "name": "query1",
              "service": "azure-bill-import",
              "group_by": [
                "resource_name"
              ],
              "env": "staging",
              "primary_tag_name": "datacenter",
              "operation_name": "universal.http.client"
            },
            "request_type": "histogram",
            "style": {
              "palette": "dog_classic"
            }
          }
        ]
      },
      "layout": {
        "x": 8,
        "y": 0,
        "width": 4,
        "height": 2
      }
    }
  ],
  "layout_type": "ordered"
}
{
  "title": "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
  "description": "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
  "widgets": [
    {
      "definition": {
        "title": "Events Platform - Request latency HOP",
        "title_size": "16",
        "title_align": "left",
        "show_legend": false,
        "type": "distribution",
        "xaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "yaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "requests": [
          {
            "query": {
              "search": {
                "query": ""
              },
              "data_source": "events",
              "compute": {
                "metric": "@duration",
                "aggregation": "min"
              },
              "name": "query1",
              "indexes": [
                "*"
              ],
              "group_by": []
            },
            "request_type": "histogram"
          }
        ]
      },
      "layout": {
        "x": 0,
        "y": 0,
        "width": 4,
        "height": 2
      }
    }
  ],
  "layout_type": "ordered"
}
{
  "title": "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_metrics_q",
  "widgets": [
    {
      "definition": {
        "title": "Metrics HOP",
        "title_size": "16",
        "title_align": "left",
        "show_legend": false,
        "type": "distribution",
        "xaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "yaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "requests": [
          {
            "query": {
              "query": "histogram:trace.Load{*}",
              "data_source": "metrics",
              "name": "query1"
            },
            "request_type": "histogram",
            "style": {
              "palette": "dog_classic"
            }
          }
        ]
      },
      "layout": {
        "x": 0,
        "y": 0,
        "width": 4,
        "height": 2
      }
    }
  ],
  "layout_type": "ordered"
}

応答

A dashboard is Datadog’s tool for visually tracking, analyzing, and displaying key performance metrics, which enable you to monitor the health of your infrastructure.

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フィールド

種類

説明

author_handle

string

Identifier of the dashboard author.

author_name

string

Name of the dashboard author.

created_at

date-time

Creation date of the dashboard.

description

string

Description of the dashboard.

string

ID of the dashboard.

is_read_only

boolean

DEPRECATED: Whether this dashboard is read-only. If True, only the author and admins can make changes to it. Prefer using restricted_roles to manage write authorization.

layout_type [required]

enum

Layout type of the dashboard. Allowed enum values: ordered,free

modified_at

date-time

Modification date of the dashboard.

notify_list

[string]

List of handles of users to notify when changes are made to this dashboard.

reflow_type

enum

restricted_roles

[string]

A list of role identifiers. Only the author and users associated with at least one of these roles can edit this dashboard.

template_variable_presets

[object]

Array of template variables saved views.

template_variables

[object]

List of template variables for this dashboard.

title [required]

string

Title of the dashboard.

url

string

The URL of the dashboard.

widgets [required]

[object]

List of widgets to display on the dashboard.

{
  "author_handle": "test@datadoghq.com",
  "author_name": "John Doe",
  "created_at": "2019-09-19T10:00:00.000Z",
  "description": "string",
  "id": "123-abc-456",
  "is_read_only": false,
  "layout_type": "ordered",
  "modified_at": "2019-09-19T10:00:00.000Z",
  "notify_list": [],
  "reflow_type": "string",
  "restricted_roles": [],
  "template_variable_presets": [
    {
      "name": "string",
      "template_variables": [
        {
          "name": "string",
          "value": "string",
          "values": []
        }
      ]
    }
  ],
  "template_variables": [
    {
      "available_values": [
        "my-host",
        "host1",
        "host2"
      ],
      "default": "my-host",
      "defaults": [
        "my-host-1",
        "my-host-2"
      ],
      "name": "host1",
      "prefix": "host"
    }
  ],
  "title": "",
  "url": "/dashboard/123-abc-456/example-dashboard-title",
  "widgets": [
    {
      "definition": {
        "requests": {
          "fill": {
            "q": "avg:system.cpu.user{*}"
          }
        },
        "type": "hostmap"
      },
      "id": "integer",
      "layout": {
        "height": 0,
        "is_column_break": false,
        "width": 0,
        "x": 0,
        "y": 0
      }
    }
  ]
}

Bad Request

Error response object.

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フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Authentication Error

Error response object.

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フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

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フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

コード例

  
  # Curl command
curl -X POST "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "title": "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_APM_Stats",
  "description": "",
  "widgets": [
    {
      "definition": {
        "title": "APM Stats - Request latency HOP",
        "title_size": "16",
        "title_align": "left",
        "show_legend": false,
        "type": "distribution",
        "xaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "yaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "requests": [
          {
            "query": {
              "primary_tag_value": "*",
              "stat": "latency_distribution",
              "data_source": "apm_resource_stats",
              "name": "query1",
              "service": "azure-bill-import",
              "group_by": [
                "resource_name"
              ],
              "env": "staging",
              "primary_tag_name": "datacenter",
              "operation_name": "universal.http.client"
            },
            "request_type": "histogram",
            "style": {
              "palette": "dog_classic"
            }
          }
        ]
      },
      "layout": {
        "x": 8,
        "y": 0,
        "width": 4,
        "height": 2
      }
    }
  ],
  "layout_type": "ordered"
}
EOF


  
                        
  
  # Curl command
curl -X POST "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "title": "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
  "description": "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
  "widgets": [
    {
      "definition": {
        "title": "Events Platform - Request latency HOP",
        "title_size": "16",
        "title_align": "left",
        "show_legend": false,
        "type": "distribution",
        "xaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "yaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "requests": [
          {
            "query": {
              "search": {
                "query": ""
              },
              "data_source": "events",
              "compute": {
                "metric": "@duration",
                "aggregation": "min"
              },
              "name": "query1",
              "indexes": [
                "*"
              ],
              "group_by": []
            },
            "request_type": "histogram"
          }
        ]
      },
      "layout": {
        "x": 0,
        "y": 0,
        "width": 4,
        "height": 2
      }
    }
  ],
  "layout_type": "ordered"
}
EOF


  
                        
  
  # Curl command
curl -X POST "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "title": "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_metrics_q",
  "widgets": [
    {
      "definition": {
        "title": "Metrics HOP",
        "title_size": "16",
        "title_align": "left",
        "show_legend": false,
        "type": "distribution",
        "xaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "yaxis": {
          "max": "auto",
          "include_zero": true,
          "scale": "linear",
          "min": "auto"
        },
        "requests": [
          {
            "query": {
              "query": "histogram:trace.Load{*}",
              "data_source": "metrics",
              "name": "query1"
            },
            "request_type": "histogram",
            "style": {
              "palette": "dog_classic"
            }
          }
        ]
      },
      "layout": {
        "x": 0,
        "y": 0,
        "width": 4,
        "height": 2
      }
    }
  ],
  "layout_type": "ordered"
}
EOF


  
                        

// Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	body := datadogV1.Dashboard{
		Title:       "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_APM_Stats",
		Description: *datadog.NewNullableString(datadog.PtrString("")),
		Widgets: []datadogV1.Widget{
			{
				Definition: datadogV1.WidgetDefinition{
					DistributionWidgetDefinition: &datadogV1.DistributionWidgetDefinition{
						Title:      datadog.PtrString("APM Stats - Request latency HOP"),
						TitleSize:  datadog.PtrString("16"),
						TitleAlign: datadogV1.WIDGETTEXTALIGN_LEFT.Ptr(),
						ShowLegend: datadog.PtrBool(false),
						Type:       datadogV1.DISTRIBUTIONWIDGETDEFINITIONTYPE_DISTRIBUTION,
						Xaxis: &datadogV1.DistributionWidgetXAxis{
							Max:         datadog.PtrString("auto"),
							IncludeZero: datadog.PtrBool(true),
							Scale:       datadog.PtrString("linear"),
							Min:         datadog.PtrString("auto"),
						},
						Yaxis: &datadogV1.DistributionWidgetYAxis{
							Max:         datadog.PtrString("auto"),
							IncludeZero: datadog.PtrBool(true),
							Scale:       datadog.PtrString("linear"),
							Min:         datadog.PtrString("auto"),
						},
						Requests: []datadogV1.DistributionWidgetRequest{
							{
								Query: &datadogV1.DistributionWidgetHistogramRequestQuery{
									FormulaAndFunctionApmResourceStatsQueryDefinition: &datadogV1.FormulaAndFunctionApmResourceStatsQueryDefinition{
										PrimaryTagValue: datadog.PtrString("*"),
										Stat:            datadogV1.FORMULAANDFUNCTIONAPMRESOURCESTATNAME_LATENCY_DISTRIBUTION,
										DataSource:      datadogV1.FORMULAANDFUNCTIONAPMRESOURCESTATSDATASOURCE_APM_RESOURCE_STATS,
										Name:            "query1",
										Service:         "azure-bill-import",
										GroupBy: []string{
											"resource_name",
										},
										Env:            "staging",
										PrimaryTagName: datadog.PtrString("datacenter"),
										OperationName:  datadog.PtrString("universal.http.client"),
									}},
								RequestType: datadogV1.DISTRIBUTIONWIDGETHISTOGRAMREQUESTTYPE_HISTOGRAM.Ptr(),
								Style: &datadogV1.WidgetStyle{
									Palette: datadog.PtrString("dog_classic"),
								},
							},
						},
					}},
				Layout: &datadogV1.WidgetLayout{
					X:      8,
					Y:      0,
					Width:  4,
					Height: 2,
				},
			},
		},
		LayoutType: datadogV1.DASHBOARDLAYOUTTYPE_ORDERED,
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	resp, r, err := api.CreateDashboard(ctx, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.CreateDashboard`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.CreateDashboard`:\n%s\n", responseContent)
}

// Create a distribution widget using a histogram request containing a formulas and functions events query

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	body := datadogV1.Dashboard{
		Title:       "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
		Description: *datadog.NewNullableString(datadog.PtrString("Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu")),
		Widgets: []datadogV1.Widget{
			{
				Definition: datadogV1.WidgetDefinition{
					DistributionWidgetDefinition: &datadogV1.DistributionWidgetDefinition{
						Title:      datadog.PtrString("Events Platform - Request latency HOP"),
						TitleSize:  datadog.PtrString("16"),
						TitleAlign: datadogV1.WIDGETTEXTALIGN_LEFT.Ptr(),
						ShowLegend: datadog.PtrBool(false),
						Type:       datadogV1.DISTRIBUTIONWIDGETDEFINITIONTYPE_DISTRIBUTION,
						Xaxis: &datadogV1.DistributionWidgetXAxis{
							Max:         datadog.PtrString("auto"),
							IncludeZero: datadog.PtrBool(true),
							Scale:       datadog.PtrString("linear"),
							Min:         datadog.PtrString("auto"),
						},
						Yaxis: &datadogV1.DistributionWidgetYAxis{
							Max:         datadog.PtrString("auto"),
							IncludeZero: datadog.PtrBool(true),
							Scale:       datadog.PtrString("linear"),
							Min:         datadog.PtrString("auto"),
						},
						Requests: []datadogV1.DistributionWidgetRequest{
							{
								Query: &datadogV1.DistributionWidgetHistogramRequestQuery{
									FormulaAndFunctionEventQueryDefinition: &datadogV1.FormulaAndFunctionEventQueryDefinition{
										Search: &datadogV1.FormulaAndFunctionEventQueryDefinitionSearch{
											Query: "",
										},
										DataSource: datadogV1.FORMULAANDFUNCTIONEVENTSDATASOURCE_EVENTS,
										Compute: datadogV1.FormulaAndFunctionEventQueryDefinitionCompute{
											Metric:      datadog.PtrString("@duration"),
											Aggregation: datadogV1.FORMULAANDFUNCTIONEVENTAGGREGATION_MIN,
										},
										Name: "query1",
										Indexes: []string{
											"*",
										},
										GroupBy: []datadogV1.FormulaAndFunctionEventQueryGroupBy{},
									}},
								RequestType: datadogV1.DISTRIBUTIONWIDGETHISTOGRAMREQUESTTYPE_HISTOGRAM.Ptr(),
							},
						},
					}},
				Layout: &datadogV1.WidgetLayout{
					X:      0,
					Y:      0,
					Width:  4,
					Height: 2,
				},
			},
		},
		LayoutType: datadogV1.DASHBOARDLAYOUTTYPE_ORDERED,
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	resp, r, err := api.CreateDashboard(ctx, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.CreateDashboard`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.CreateDashboard`:\n%s\n", responseContent)
}

// Create a distribution widget using a histogram request containing a formulas and functions metrics query

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	body := datadogV1.Dashboard{
		Title: "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_metrics_q",
		Widgets: []datadogV1.Widget{
			{
				Definition: datadogV1.WidgetDefinition{
					DistributionWidgetDefinition: &datadogV1.DistributionWidgetDefinition{
						Title:      datadog.PtrString("Metrics HOP"),
						TitleSize:  datadog.PtrString("16"),
						TitleAlign: datadogV1.WIDGETTEXTALIGN_LEFT.Ptr(),
						ShowLegend: datadog.PtrBool(false),
						Type:       datadogV1.DISTRIBUTIONWIDGETDEFINITIONTYPE_DISTRIBUTION,
						Xaxis: &datadogV1.DistributionWidgetXAxis{
							Max:         datadog.PtrString("auto"),
							IncludeZero: datadog.PtrBool(true),
							Scale:       datadog.PtrString("linear"),
							Min:         datadog.PtrString("auto"),
						},
						Yaxis: &datadogV1.DistributionWidgetYAxis{
							Max:         datadog.PtrString("auto"),
							IncludeZero: datadog.PtrBool(true),
							Scale:       datadog.PtrString("linear"),
							Min:         datadog.PtrString("auto"),
						},
						Requests: []datadogV1.DistributionWidgetRequest{
							{
								Query: &datadogV1.DistributionWidgetHistogramRequestQuery{
									FormulaAndFunctionMetricQueryDefinition: &datadogV1.FormulaAndFunctionMetricQueryDefinition{
										Query:      "histogram:trace.Load{*}",
										DataSource: datadogV1.FORMULAANDFUNCTIONMETRICDATASOURCE_METRICS,
										Name:       "query1",
									}},
								RequestType: datadogV1.DISTRIBUTIONWIDGETHISTOGRAMREQUESTTYPE_HISTOGRAM.Ptr(),
								Style: &datadogV1.WidgetStyle{
									Palette: datadog.PtrString("dog_classic"),
								},
							},
						},
					}},
				Layout: &datadogV1.WidgetLayout{
					X:      0,
					Y:      0,
					Width:  4,
					Height: 2,
				},
			},
		},
		LayoutType: datadogV1.DASHBOARDLAYOUTTYPE_ORDERED,
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	resp, r, err := api.CreateDashboard(ctx, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.CreateDashboard`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.CreateDashboard`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Create a distribution widget using a histogram request containing a formulas and functions APM
// Stats query

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.Dashboard;
import com.datadog.api.client.v1.model.DashboardLayoutType;
import com.datadog.api.client.v1.model.DistributionWidgetDefinition;
import com.datadog.api.client.v1.model.DistributionWidgetDefinitionType;
import com.datadog.api.client.v1.model.DistributionWidgetHistogramRequestQuery;
import com.datadog.api.client.v1.model.DistributionWidgetHistogramRequestType;
import com.datadog.api.client.v1.model.DistributionWidgetRequest;
import com.datadog.api.client.v1.model.DistributionWidgetXAxis;
import com.datadog.api.client.v1.model.DistributionWidgetYAxis;
import com.datadog.api.client.v1.model.FormulaAndFunctionApmResourceStatName;
import com.datadog.api.client.v1.model.FormulaAndFunctionApmResourceStatsDataSource;
import com.datadog.api.client.v1.model.FormulaAndFunctionApmResourceStatsQueryDefinition;
import com.datadog.api.client.v1.model.Widget;
import com.datadog.api.client.v1.model.WidgetDefinition;
import com.datadog.api.client.v1.model.WidgetLayout;
import com.datadog.api.client.v1.model.WidgetStyle;
import com.datadog.api.client.v1.model.WidgetTextAlign;
import java.util.Collections;

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

    Dashboard body =
        new Dashboard()
            .title(
                "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_APM_Stats")
            .description("")
            .widgets(
                Collections.singletonList(
                    new Widget()
                        .definition(
                            new WidgetDefinition(
                                new DistributionWidgetDefinition()
                                    .title("APM Stats - Request latency HOP")
                                    .titleSize("16")
                                    .titleAlign(WidgetTextAlign.LEFT)
                                    .showLegend(false)
                                    .type(DistributionWidgetDefinitionType.DISTRIBUTION)
                                    .xaxis(
                                        new DistributionWidgetXAxis()
                                            .max("auto")
                                            .includeZero(true)
                                            .scale("linear")
                                            .min("auto"))
                                    .yaxis(
                                        new DistributionWidgetYAxis()
                                            .max("auto")
                                            .includeZero(true)
                                            .scale("linear")
                                            .min("auto"))
                                    .requests(
                                        Collections.singletonList(
                                            new DistributionWidgetRequest()
                                                .query(
                                                    new DistributionWidgetHistogramRequestQuery(
                                                        new FormulaAndFunctionApmResourceStatsQueryDefinition()
                                                            .primaryTagValue("*")
                                                            .stat(
                                                                FormulaAndFunctionApmResourceStatName
                                                                    .LATENCY_DISTRIBUTION)
                                                            .dataSource(
                                                                FormulaAndFunctionApmResourceStatsDataSource
                                                                    .APM_RESOURCE_STATS)
                                                            .name("query1")
                                                            .service("azure-bill-import")
                                                            .groupBy(
                                                                Collections.singletonList(
                                                                    "resource_name"))
                                                            .env("staging")
                                                            .primaryTagName("datacenter")
                                                            .operationName(
                                                                "universal.http.client")))
                                                .requestType(
                                                    DistributionWidgetHistogramRequestType
                                                        .HISTOGRAM)
                                                .style(new WidgetStyle().palette("dog_classic"))))))
                        .layout(new WidgetLayout().x(8L).y(0L).width(4L).height(2L))))
            .layoutType(DashboardLayoutType.ORDERED);

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

// Create a distribution widget using a histogram request containing a formulas and functions events
// query

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.Dashboard;
import com.datadog.api.client.v1.model.DashboardLayoutType;
import com.datadog.api.client.v1.model.DistributionWidgetDefinition;
import com.datadog.api.client.v1.model.DistributionWidgetDefinitionType;
import com.datadog.api.client.v1.model.DistributionWidgetHistogramRequestQuery;
import com.datadog.api.client.v1.model.DistributionWidgetHistogramRequestType;
import com.datadog.api.client.v1.model.DistributionWidgetRequest;
import com.datadog.api.client.v1.model.DistributionWidgetXAxis;
import com.datadog.api.client.v1.model.DistributionWidgetYAxis;
import com.datadog.api.client.v1.model.FormulaAndFunctionEventAggregation;
import com.datadog.api.client.v1.model.FormulaAndFunctionEventQueryDefinition;
import com.datadog.api.client.v1.model.FormulaAndFunctionEventQueryDefinitionCompute;
import com.datadog.api.client.v1.model.FormulaAndFunctionEventQueryDefinitionSearch;
import com.datadog.api.client.v1.model.FormulaAndFunctionEventsDataSource;
import com.datadog.api.client.v1.model.Widget;
import com.datadog.api.client.v1.model.WidgetDefinition;
import com.datadog.api.client.v1.model.WidgetLayout;
import com.datadog.api.client.v1.model.WidgetTextAlign;
import java.util.Collections;

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

    Dashboard body =
        new Dashboard()
            .title(
                "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu")
            .description(
                "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu")
            .widgets(
                Collections.singletonList(
                    new Widget()
                        .definition(
                            new WidgetDefinition(
                                new DistributionWidgetDefinition()
                                    .title("Events Platform - Request latency HOP")
                                    .titleSize("16")
                                    .titleAlign(WidgetTextAlign.LEFT)
                                    .showLegend(false)
                                    .type(DistributionWidgetDefinitionType.DISTRIBUTION)
                                    .xaxis(
                                        new DistributionWidgetXAxis()
                                            .max("auto")
                                            .includeZero(true)
                                            .scale("linear")
                                            .min("auto"))
                                    .yaxis(
                                        new DistributionWidgetYAxis()
                                            .max("auto")
                                            .includeZero(true)
                                            .scale("linear")
                                            .min("auto"))
                                    .requests(
                                        Collections.singletonList(
                                            new DistributionWidgetRequest()
                                                .query(
                                                    new DistributionWidgetHistogramRequestQuery(
                                                        new FormulaAndFunctionEventQueryDefinition()
                                                            .search(
                                                                new FormulaAndFunctionEventQueryDefinitionSearch()
                                                                    .query(""))
                                                            .dataSource(
                                                                FormulaAndFunctionEventsDataSource
                                                                    .EVENTS)
                                                            .compute(
                                                                new FormulaAndFunctionEventQueryDefinitionCompute()
                                                                    .metric("@duration")
                                                                    .aggregation(
                                                                        FormulaAndFunctionEventAggregation
                                                                            .MIN))
                                                            .name("query1")
                                                            .indexes(
                                                                Collections.singletonList("*"))))
                                                .requestType(
                                                    DistributionWidgetHistogramRequestType
                                                        .HISTOGRAM)))))
                        .layout(new WidgetLayout().x(0L).y(0L).width(4L).height(2L))))
            .layoutType(DashboardLayoutType.ORDERED);

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

// Create a distribution widget using a histogram request containing a formulas and functions
// metrics query

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.Dashboard;
import com.datadog.api.client.v1.model.DashboardLayoutType;
import com.datadog.api.client.v1.model.DistributionWidgetDefinition;
import com.datadog.api.client.v1.model.DistributionWidgetDefinitionType;
import com.datadog.api.client.v1.model.DistributionWidgetHistogramRequestQuery;
import com.datadog.api.client.v1.model.DistributionWidgetHistogramRequestType;
import com.datadog.api.client.v1.model.DistributionWidgetRequest;
import com.datadog.api.client.v1.model.DistributionWidgetXAxis;
import com.datadog.api.client.v1.model.DistributionWidgetYAxis;
import com.datadog.api.client.v1.model.FormulaAndFunctionMetricDataSource;
import com.datadog.api.client.v1.model.FormulaAndFunctionMetricQueryDefinition;
import com.datadog.api.client.v1.model.Widget;
import com.datadog.api.client.v1.model.WidgetDefinition;
import com.datadog.api.client.v1.model.WidgetLayout;
import com.datadog.api.client.v1.model.WidgetStyle;
import com.datadog.api.client.v1.model.WidgetTextAlign;
import java.util.Collections;

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

    Dashboard body =
        new Dashboard()
            .title(
                "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_metrics_q")
            .widgets(
                Collections.singletonList(
                    new Widget()
                        .definition(
                            new WidgetDefinition(
                                new DistributionWidgetDefinition()
                                    .title("Metrics HOP")
                                    .titleSize("16")
                                    .titleAlign(WidgetTextAlign.LEFT)
                                    .showLegend(false)
                                    .type(DistributionWidgetDefinitionType.DISTRIBUTION)
                                    .xaxis(
                                        new DistributionWidgetXAxis()
                                            .max("auto")
                                            .includeZero(true)
                                            .scale("linear")
                                            .min("auto"))
                                    .yaxis(
                                        new DistributionWidgetYAxis()
                                            .max("auto")
                                            .includeZero(true)
                                            .scale("linear")
                                            .min("auto"))
                                    .requests(
                                        Collections.singletonList(
                                            new DistributionWidgetRequest()
                                                .query(
                                                    new DistributionWidgetHistogramRequestQuery(
                                                        new FormulaAndFunctionMetricQueryDefinition()
                                                            .query("histogram:trace.Load{*}")
                                                            .dataSource(
                                                                FormulaAndFunctionMetricDataSource
                                                                    .METRICS)
                                                            .name("query1")))
                                                .requestType(
                                                    DistributionWidgetHistogramRequestType
                                                        .HISTOGRAM)
                                                .style(new WidgetStyle().palette("dog_classic"))))))
                        .layout(new WidgetLayout().x(0L).y(0L).width(4L).height(2L))))
            .layoutType(DashboardLayoutType.ORDERED);

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

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

from datadog import initialize, api

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

initialize(**options)

title = 'Average Memory Free Shell'
widgets = [{
    'definition': {
        'type': 'timeseries',
        'requests': [
            {'q': 'avg:system.mem.free{*}'}
        ],
        'title': 'Average Memory Free'
    }
}]
layout_type = 'ordered'
description = 'A dashboard with memory info.'
is_read_only = True
notify_list = ['user@domain.com']
template_variables = [{
    'name': 'host1',
    'prefix': 'host',
    'default': 'my-host'
}]

saved_views = [{
    'name': 'Saved views for hostname 2',
    'template_variables': [{'name': 'host', 'value': '<HOSTNAME_2>'}]}
]

api.Dashboard.create(title=title,
                     widgets=widgets,
                     layout_type=layout_type,
                     description=description,
                     is_read_only=is_read_only,
                     notify_list=notify_list,
                     template_variables=template_variables,
                     template_variable_presets=saved_view)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

"""
Create a distribution widget using a histogram request containing a formulas and functions APM Stats query
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi
from datadog_api_client.v1.model.dashboard import Dashboard
from datadog_api_client.v1.model.dashboard_layout_type import DashboardLayoutType
from datadog_api_client.v1.model.distribution_widget_definition import DistributionWidgetDefinition
from datadog_api_client.v1.model.distribution_widget_definition_type import DistributionWidgetDefinitionType
from datadog_api_client.v1.model.distribution_widget_histogram_request_type import (
    DistributionWidgetHistogramRequestType,
)
from datadog_api_client.v1.model.distribution_widget_request import DistributionWidgetRequest
from datadog_api_client.v1.model.distribution_widget_x_axis import DistributionWidgetXAxis
from datadog_api_client.v1.model.distribution_widget_y_axis import DistributionWidgetYAxis
from datadog_api_client.v1.model.formula_and_function_apm_resource_stat_name import (
    FormulaAndFunctionApmResourceStatName,
)
from datadog_api_client.v1.model.formula_and_function_apm_resource_stats_data_source import (
    FormulaAndFunctionApmResourceStatsDataSource,
)
from datadog_api_client.v1.model.formula_and_function_apm_resource_stats_query_definition import (
    FormulaAndFunctionApmResourceStatsQueryDefinition,
)
from datadog_api_client.v1.model.widget import Widget
from datadog_api_client.v1.model.widget_layout import WidgetLayout
from datadog_api_client.v1.model.widget_style import WidgetStyle
from datadog_api_client.v1.model.widget_text_align import WidgetTextAlign

body = Dashboard(
    title="Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_APM_Stats",
    description="",
    widgets=[
        Widget(
            definition=DistributionWidgetDefinition(
                title="APM Stats - Request latency HOP",
                title_size="16",
                title_align=WidgetTextAlign.LEFT,
                show_legend=False,
                type=DistributionWidgetDefinitionType.DISTRIBUTION,
                xaxis=DistributionWidgetXAxis(
                    max="auto",
                    include_zero=True,
                    scale="linear",
                    min="auto",
                ),
                yaxis=DistributionWidgetYAxis(
                    max="auto",
                    include_zero=True,
                    scale="linear",
                    min="auto",
                ),
                requests=[
                    DistributionWidgetRequest(
                        query=FormulaAndFunctionApmResourceStatsQueryDefinition(
                            primary_tag_value="*",
                            stat=FormulaAndFunctionApmResourceStatName.LATENCY_DISTRIBUTION,
                            data_source=FormulaAndFunctionApmResourceStatsDataSource.APM_RESOURCE_STATS,
                            name="query1",
                            service="azure-bill-import",
                            group_by=[
                                "resource_name",
                            ],
                            env="staging",
                            primary_tag_name="datacenter",
                            operation_name="universal.http.client",
                        ),
                        request_type=DistributionWidgetHistogramRequestType.HISTOGRAM,
                        style=WidgetStyle(
                            palette="dog_classic",
                        ),
                    ),
                ],
            ),
            layout=WidgetLayout(
                x=8,
                y=0,
                width=4,
                height=2,
            ),
        ),
    ],
    layout_type=DashboardLayoutType.ORDERED,
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    response = api_instance.create_dashboard(body=body)

    print(response)

"""
Create a distribution widget using a histogram request containing a formulas and functions events query
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi
from datadog_api_client.v1.model.dashboard import Dashboard
from datadog_api_client.v1.model.dashboard_layout_type import DashboardLayoutType
from datadog_api_client.v1.model.distribution_widget_definition import DistributionWidgetDefinition
from datadog_api_client.v1.model.distribution_widget_definition_type import DistributionWidgetDefinitionType
from datadog_api_client.v1.model.distribution_widget_histogram_request_type import (
    DistributionWidgetHistogramRequestType,
)
from datadog_api_client.v1.model.distribution_widget_request import DistributionWidgetRequest
from datadog_api_client.v1.model.distribution_widget_x_axis import DistributionWidgetXAxis
from datadog_api_client.v1.model.distribution_widget_y_axis import DistributionWidgetYAxis
from datadog_api_client.v1.model.formula_and_function_event_aggregation import FormulaAndFunctionEventAggregation
from datadog_api_client.v1.model.formula_and_function_event_query_definition import (
    FormulaAndFunctionEventQueryDefinition,
)
from datadog_api_client.v1.model.formula_and_function_event_query_definition_compute import (
    FormulaAndFunctionEventQueryDefinitionCompute,
)
from datadog_api_client.v1.model.formula_and_function_event_query_definition_search import (
    FormulaAndFunctionEventQueryDefinitionSearch,
)
from datadog_api_client.v1.model.formula_and_function_events_data_source import FormulaAndFunctionEventsDataSource
from datadog_api_client.v1.model.widget import Widget
from datadog_api_client.v1.model.widget_layout import WidgetLayout
from datadog_api_client.v1.model.widget_text_align import WidgetTextAlign

body = Dashboard(
    title="Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
    description="Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
    widgets=[
        Widget(
            definition=DistributionWidgetDefinition(
                title="Events Platform - Request latency HOP",
                title_size="16",
                title_align=WidgetTextAlign.LEFT,
                show_legend=False,
                type=DistributionWidgetDefinitionType.DISTRIBUTION,
                xaxis=DistributionWidgetXAxis(
                    max="auto",
                    include_zero=True,
                    scale="linear",
                    min="auto",
                ),
                yaxis=DistributionWidgetYAxis(
                    max="auto",
                    include_zero=True,
                    scale="linear",
                    min="auto",
                ),
                requests=[
                    DistributionWidgetRequest(
                        query=FormulaAndFunctionEventQueryDefinition(
                            search=FormulaAndFunctionEventQueryDefinitionSearch(
                                query="",
                            ),
                            data_source=FormulaAndFunctionEventsDataSource.EVENTS,
                            compute=FormulaAndFunctionEventQueryDefinitionCompute(
                                metric="@duration",
                                aggregation=FormulaAndFunctionEventAggregation.MIN,
                            ),
                            name="query1",
                            indexes=[
                                "*",
                            ],
                            group_by=[],
                        ),
                        request_type=DistributionWidgetHistogramRequestType.HISTOGRAM,
                    ),
                ],
            ),
            layout=WidgetLayout(
                x=0,
                y=0,
                width=4,
                height=2,
            ),
        ),
    ],
    layout_type=DashboardLayoutType.ORDERED,
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    response = api_instance.create_dashboard(body=body)

    print(response)

"""
Create a distribution widget using a histogram request containing a formulas and functions metrics query
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi
from datadog_api_client.v1.model.dashboard import Dashboard
from datadog_api_client.v1.model.dashboard_layout_type import DashboardLayoutType
from datadog_api_client.v1.model.distribution_widget_definition import DistributionWidgetDefinition
from datadog_api_client.v1.model.distribution_widget_definition_type import DistributionWidgetDefinitionType
from datadog_api_client.v1.model.distribution_widget_histogram_request_type import (
    DistributionWidgetHistogramRequestType,
)
from datadog_api_client.v1.model.distribution_widget_request import DistributionWidgetRequest
from datadog_api_client.v1.model.distribution_widget_x_axis import DistributionWidgetXAxis
from datadog_api_client.v1.model.distribution_widget_y_axis import DistributionWidgetYAxis
from datadog_api_client.v1.model.formula_and_function_metric_data_source import FormulaAndFunctionMetricDataSource
from datadog_api_client.v1.model.formula_and_function_metric_query_definition import (
    FormulaAndFunctionMetricQueryDefinition,
)
from datadog_api_client.v1.model.widget import Widget
from datadog_api_client.v1.model.widget_layout import WidgetLayout
from datadog_api_client.v1.model.widget_style import WidgetStyle
from datadog_api_client.v1.model.widget_text_align import WidgetTextAlign

body = Dashboard(
    title="Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_metrics_q",
    widgets=[
        Widget(
            definition=DistributionWidgetDefinition(
                title="Metrics HOP",
                title_size="16",
                title_align=WidgetTextAlign.LEFT,
                show_legend=False,
                type=DistributionWidgetDefinitionType.DISTRIBUTION,
                xaxis=DistributionWidgetXAxis(
                    max="auto",
                    include_zero=True,
                    scale="linear",
                    min="auto",
                ),
                yaxis=DistributionWidgetYAxis(
                    max="auto",
                    include_zero=True,
                    scale="linear",
                    min="auto",
                ),
                requests=[
                    DistributionWidgetRequest(
                        query=FormulaAndFunctionMetricQueryDefinition(
                            query="histogram:trace.Load{*}",
                            data_source=FormulaAndFunctionMetricDataSource.METRICS,
                            name="query1",
                        ),
                        request_type=DistributionWidgetHistogramRequestType.HISTOGRAM,
                        style=WidgetStyle(
                            palette="dog_classic",
                        ),
                    ),
                ],
            ),
            layout=WidgetLayout(
                x=0,
                y=0,
                width=4,
                height=2,
            ),
        ),
    ],
    layout_type=DashboardLayoutType.ORDERED,
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    response = api_instance.create_dashboard(body=body)

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

# Create a dashboard.
title = 'Average Memory Free Shell'
widgets = [{
    'definition': {
        'type' => 'timeseries',
        'requests' => [
            {'q' => 'avg:system.mem.free{*}'}
        ],
        'title' => 'Average Memory Free'
    }
}]
layout_type = 'ordered'
description = 'A dashboard with memory info.'
is_read_only = true
notify_list = ['user@domain.com']
template_variables = [{
    'name' => 'host',
    'prefix' => 'host',
    'default' => '<HOSTNAME_1>'
}]

saved_view = [{
  'name': 'Saved views for hostname 2',
  'template_variables': [{'name': 'host', 'value': '<HOSTNAME_2>'}]}
  ]

dog.create_board(title, widgets, layout_type, {
    :description => description,
    :is_read_only => is_read_only,
    :notify_list => notify_list,
    :template_variables => template_variables,
    :template_variable_presets => saved_view
    })

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

# Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new

body = DatadogAPIClient::V1::Dashboard.new({
  title: "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_APM_Stats",
  description: "",
  widgets: [
    DatadogAPIClient::V1::Widget.new({
      definition: DatadogAPIClient::V1::DistributionWidgetDefinition.new({
        title: "APM Stats - Request latency HOP",
        title_size: "16",
        title_align: DatadogAPIClient::V1::WidgetTextAlign::LEFT,
        show_legend: false,
        type: DatadogAPIClient::V1::DistributionWidgetDefinitionType::DISTRIBUTION,
        xaxis: DatadogAPIClient::V1::DistributionWidgetXAxis.new({
          max: "auto",
          include_zero: true,
          scale: "linear",
          min: "auto",
        }),
        yaxis: DatadogAPIClient::V1::DistributionWidgetYAxis.new({
          max: "auto",
          include_zero: true,
          scale: "linear",
          min: "auto",
        }),
        requests: [
          DatadogAPIClient::V1::DistributionWidgetRequest.new({
            query: DatadogAPIClient::V1::FormulaAndFunctionApmResourceStatsQueryDefinition.new({
              primary_tag_value: "*",
              stat: DatadogAPIClient::V1::FormulaAndFunctionApmResourceStatName::LATENCY_DISTRIBUTION,
              data_source: DatadogAPIClient::V1::FormulaAndFunctionApmResourceStatsDataSource::APM_RESOURCE_STATS,
              name: "query1",
              service: "azure-bill-import",
              group_by: [
                "resource_name",
              ],
              env: "staging",
              primary_tag_name: "datacenter",
              operation_name: "universal.http.client",
            }),
            request_type: DatadogAPIClient::V1::DistributionWidgetHistogramRequestType::HISTOGRAM,
            style: DatadogAPIClient::V1::WidgetStyle.new({
              palette: "dog_classic",
            }),
          }),
        ],
      }),
      layout: DatadogAPIClient::V1::WidgetLayout.new({
        x: 8,
        y: 0,
        width: 4,
        height: 2,
      }),
    }),
  ],
  layout_type: DatadogAPIClient::V1::DashboardLayoutType::ORDERED,
})
p api_instance.create_dashboard(body)

# Create a distribution widget using a histogram request containing a formulas and functions events query

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new

body = DatadogAPIClient::V1::Dashboard.new({
  title: "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
  description: "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
  widgets: [
    DatadogAPIClient::V1::Widget.new({
      definition: DatadogAPIClient::V1::DistributionWidgetDefinition.new({
        title: "Events Platform - Request latency HOP",
        title_size: "16",
        title_align: DatadogAPIClient::V1::WidgetTextAlign::LEFT,
        show_legend: false,
        type: DatadogAPIClient::V1::DistributionWidgetDefinitionType::DISTRIBUTION,
        xaxis: DatadogAPIClient::V1::DistributionWidgetXAxis.new({
          max: "auto",
          include_zero: true,
          scale: "linear",
          min: "auto",
        }),
        yaxis: DatadogAPIClient::V1::DistributionWidgetYAxis.new({
          max: "auto",
          include_zero: true,
          scale: "linear",
          min: "auto",
        }),
        requests: [
          DatadogAPIClient::V1::DistributionWidgetRequest.new({
            query: DatadogAPIClient::V1::FormulaAndFunctionEventQueryDefinition.new({
              search: DatadogAPIClient::V1::FormulaAndFunctionEventQueryDefinitionSearch.new({
                query: "",
              }),
              data_source: DatadogAPIClient::V1::FormulaAndFunctionEventsDataSource::EVENTS,
              compute: DatadogAPIClient::V1::FormulaAndFunctionEventQueryDefinitionCompute.new({
                metric: "@duration",
                aggregation: DatadogAPIClient::V1::FormulaAndFunctionEventAggregation::MIN,
              }),
              name: "query1",
              indexes: [
                "*",
              ],
              group_by: [],
            }),
            request_type: DatadogAPIClient::V1::DistributionWidgetHistogramRequestType::HISTOGRAM,
          }),
        ],
      }),
      layout: DatadogAPIClient::V1::WidgetLayout.new({
        x: 0,
        y: 0,
        width: 4,
        height: 2,
      }),
    }),
  ],
  layout_type: DatadogAPIClient::V1::DashboardLayoutType::ORDERED,
})
p api_instance.create_dashboard(body)

# Create a distribution widget using a histogram request containing a formulas and functions metrics query

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new

body = DatadogAPIClient::V1::Dashboard.new({
  title: "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_metrics_q",
  widgets: [
    DatadogAPIClient::V1::Widget.new({
      definition: DatadogAPIClient::V1::DistributionWidgetDefinition.new({
        title: "Metrics HOP",
        title_size: "16",
        title_align: DatadogAPIClient::V1::WidgetTextAlign::LEFT,
        show_legend: false,
        type: DatadogAPIClient::V1::DistributionWidgetDefinitionType::DISTRIBUTION,
        xaxis: DatadogAPIClient::V1::DistributionWidgetXAxis.new({
          max: "auto",
          include_zero: true,
          scale: "linear",
          min: "auto",
        }),
        yaxis: DatadogAPIClient::V1::DistributionWidgetYAxis.new({
          max: "auto",
          include_zero: true,
          scale: "linear",
          min: "auto",
        }),
        requests: [
          DatadogAPIClient::V1::DistributionWidgetRequest.new({
            query: DatadogAPIClient::V1::FormulaAndFunctionMetricQueryDefinition.new({
              query: "histogram:trace.Load{*}",
              data_source: DatadogAPIClient::V1::FormulaAndFunctionMetricDataSource::METRICS,
              name: "query1",
            }),
            request_type: DatadogAPIClient::V1::DistributionWidgetHistogramRequestType::HISTOGRAM,
            style: DatadogAPIClient::V1::WidgetStyle.new({
              palette: "dog_classic",
            }),
          }),
        ],
      }),
      layout: DatadogAPIClient::V1::WidgetLayout.new({
        x: 0,
        y: 0,
        width: 4,
        height: 2,
      }),
    }),
  ],
  layout_type: DatadogAPIClient::V1::DashboardLayoutType::ORDERED,
})
p api_instance.create_dashboard(body)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

/**
 * Create a distribution widget using a histogram request containing a formulas and functions APM Stats query
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

const params: v1.DashboardsApiCreateDashboardRequest = {
  body: {
    title:
      "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_APM_Stats",
    description: "",
    widgets: [
      {
        definition: {
          title: "APM Stats - Request latency HOP",
          titleSize: "16",
          titleAlign: "left",
          showLegend: false,
          type: "distribution",
          xaxis: {
            max: "auto",
            includeZero: true,
            scale: "linear",
            min: "auto",
          },
          yaxis: {
            max: "auto",
            includeZero: true,
            scale: "linear",
            min: "auto",
          },
          requests: [
            {
              query: {
                primaryTagValue: "*",
                stat: "latency_distribution",
                dataSource: "apm_resource_stats",
                name: "query1",
                service: "azure-bill-import",
                groupBy: ["resource_name"],
                env: "staging",
                primaryTagName: "datacenter",
                operationName: "universal.http.client",
              },
              requestType: "histogram",
              style: {
                palette: "dog_classic",
              },
            },
          ],
        },
        layout: {
          x: 8,
          y: 0,
          width: 4,
          height: 2,
        },
      },
    ],
    layoutType: "ordered",
  },
};

apiInstance
  .createDashboard(params)
  .then((data: v1.Dashboard) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

/**
 * Create a distribution widget using a histogram request containing a formulas and functions events query
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

const params: v1.DashboardsApiCreateDashboardRequest = {
  body: {
    title:
      "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
    description:
      "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu",
    widgets: [
      {
        definition: {
          title: "Events Platform - Request latency HOP",
          titleSize: "16",
          titleAlign: "left",
          showLegend: false,
          type: "distribution",
          xaxis: {
            max: "auto",
            includeZero: true,
            scale: "linear",
            min: "auto",
          },
          yaxis: {
            max: "auto",
            includeZero: true,
            scale: "linear",
            min: "auto",
          },
          requests: [
            {
              query: {
                search: {
                  query: "",
                },
                dataSource: "events",
                compute: {
                  metric: "@duration",
                  aggregation: "min",
                },
                name: "query1",
                indexes: ["*"],
                groupBy: [],
              },
              requestType: "histogram",
            },
          ],
        },
        layout: {
          x: 0,
          y: 0,
          width: 4,
          height: 2,
        },
      },
    ],
    layoutType: "ordered",
  },
};

apiInstance
  .createDashboard(params)
  .then((data: v1.Dashboard) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

/**
 * Create a distribution widget using a histogram request containing a formulas and functions metrics query
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

const params: v1.DashboardsApiCreateDashboardRequest = {
  body: {
    title:
      "Example-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_metrics_q",
    widgets: [
      {
        definition: {
          title: "Metrics HOP",
          titleSize: "16",
          titleAlign: "left",
          showLegend: false,
          type: "distribution",
          xaxis: {
            max: "auto",
            includeZero: true,
            scale: "linear",
            min: "auto",
          },
          yaxis: {
            max: "auto",
            includeZero: true,
            scale: "linear",
            min: "auto",
          },
          requests: [
            {
              query: {
                query: "histogram:trace.Load{*}",
                dataSource: "metrics",
                name: "query1",
              },
              requestType: "histogram",
              style: {
                palette: "dog_classic",
              },
            },
          ],
        },
        layout: {
          x: 0,
          y: 0,
          width: 4,
          height: 2,
        },
      },
    ],
    layoutType: "ordered",
  },
};

apiInstance
  .createDashboard(params)
  .then((data: v1.Dashboard) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get a dashboard

v1 (latest)

GET https://api.datadoghq.eu/api/v1/dashboard/{dashboard_id}https://api.ddog-gov.com/api/v1/dashboard/{dashboard_id}https://api.datadoghq.com/api/v1/dashboard/{dashboard_id}https://api.us3.datadoghq.com/api/v1/dashboard/{dashboard_id}https://api.us5.datadoghq.com/api/v1/dashboard/{dashboard_id}

概要

指定の ID を使用してダッシュボードを取得します。 This endpoint requires the dashboards_read authorization scope.

引数

パスパラメーター

名前

種類

説明

dashboard_id [required]

string

The ID of the dashboard.

応答

A dashboard is Datadog’s tool for visually tracking, analyzing, and displaying key performance metrics, which enable you to monitor the health of your infrastructure.

Expand All

フィールド

種類

説明

author_handle

string

Identifier of the dashboard author.

author_name

string

Name of the dashboard author.

created_at

date-time

Creation date of the dashboard.

description

string

Description of the dashboard.

string

ID of the dashboard.

is_read_only

boolean

DEPRECATED: Whether this dashboard is read-only. If True, only the author and admins can make changes to it. Prefer using restricted_roles to manage write authorization.

layout_type [required]

enum

Layout type of the dashboard. Allowed enum values: ordered,free

modified_at

date-time

Modification date of the dashboard.

notify_list

[string]

List of handles of users to notify when changes are made to this dashboard.

reflow_type

enum

restricted_roles

[string]

A list of role identifiers. Only the author and users associated with at least one of these roles can edit this dashboard.

template_variable_presets

[object]

Array of template variables saved views.

template_variables

[object]

List of template variables for this dashboard.

title [required]

string

Title of the dashboard.

url

string

The URL of the dashboard.

widgets [required]

[object]

List of widgets to display on the dashboard.

{
  "author_handle": "test@datadoghq.com",
  "author_name": "John Doe",
  "created_at": "2019-09-19T10:00:00.000Z",
  "description": "string",
  "id": "123-abc-456",
  "is_read_only": false,
  "layout_type": "ordered",
  "modified_at": "2019-09-19T10:00:00.000Z",
  "notify_list": [],
  "reflow_type": "string",
  "restricted_roles": [],
  "template_variable_presets": [
    {
      "name": "string",
      "template_variables": [
        {
          "name": "string",
          "value": "string",
          "values": []
        }
      ]
    }
  ],
  "template_variables": [
    {
      "available_values": [
        "my-host",
        "host1",
        "host2"
      ],
      "default": "my-host",
      "defaults": [
        "my-host-1",
        "my-host-2"
      ],
      "name": "host1",
      "prefix": "host"
    }
  ],
  "title": "",
  "url": "/dashboard/123-abc-456/example-dashboard-title",
  "widgets": [
    {
      "definition": {
        "requests": {
          "fill": {
            "q": "avg:system.cpu.user{*}"
          }
        },
        "type": "hostmap"
      },
      "id": "integer",
      "layout": {
        "height": 0,
        "is_column_break": false,
        "width": 0,
        "x": 0,
        "y": 0
      }
    }
  ]
}

Authentication Error

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Item Not Found

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

コード例

# Path parameters
export dashboard_id="CHANGE_ME"
# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard/${dashboard_id}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"



           

"""
Get a dashboard returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi

# there is a valid "dashboard" in the system
DASHBOARD_ID = environ["DASHBOARD_ID"]

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    response = api_instance.get_dashboard(
        dashboard_id=DASHBOARD_ID,
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get a dashboard returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new

# there is a valid "dashboard" in the system
DASHBOARD_ID = ENV["DASHBOARD_ID"]
p api_instance.get_dashboard(DASHBOARD_ID)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

dashboard_id = '<DASHBOARD_ID>'
dog.get_board(dashboard_id)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get a dashboard returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	// there is a valid "dashboard" in the system
	DashboardID := os.Getenv("DASHBOARD_ID")

	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	resp, r, err := api.GetDashboard(ctx, DashboardID)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.GetDashboard`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.GetDashboard`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get a dashboard returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.Dashboard;

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

    // there is a valid "dashboard" in the system
    String DASHBOARD_ID = System.getenv("DASHBOARD_ID");

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

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

from datadog import initialize, api

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

initialize(**options)

dashboard_id = '<DASHBOARD_ID>'

api.Dashboard.get(dashboard_id)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

/**
 * Get a dashboard returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

// there is a valid "dashboard" in the system
const DASHBOARD_ID = process.env.DASHBOARD_ID as string;

const params: v1.DashboardsApiGetDashboardRequest = {
  dashboardId: DASHBOARD_ID,
};

apiInstance
  .getDashboard(params)
  .then((data: v1.Dashboard) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get all dashboards

v1 (latest)

GET https://api.datadoghq.eu/api/v1/dashboardhttps://api.ddog-gov.com/api/v1/dashboardhttps://api.datadoghq.com/api/v1/dashboardhttps://api.us3.datadoghq.com/api/v1/dashboardhttps://api.us5.datadoghq.com/api/v1/dashboard

概要

すべてのダッシュボードを取得します。

注: このクエリはカスタマイズして作成された、または複製されたダッシュボードのみを返します。このクエリではプリセットされたダッシュボードは取得できません。

This endpoint requires the dashboards_read authorization scope.

引数

クエリ文字列

名前

種類

説明

filter[shared]

boolean

When true, this query only returns shared custom created or cloned dashboards.

filter[deleted]

boolean

When true, this query returns only deleted custom-created or cloned dashboards. This parameter is incompatible with filter[shared].

応答

Dashboard summary response.

Expand All

フィールド

種類

説明

dashboards

[object]

List of dashboard definitions.

{
  "dashboards": [
    {
      "author_handle": "string",
      "created_at": "2019-09-19T10:00:00.000Z",
      "description": "string",
      "id": "string",
      "is_read_only": false,
      "layout_type": "ordered",
      "modified_at": "2019-09-19T10:00:00.000Z",
      "title": "string",
      "url": "string"
    }
  ]
}

Authentication Error

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

コード例

# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

"""
Get all dashboards returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    response = api_instance.list_dashboards(
        filter_shared=False,
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get all dashboards returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new
opts = {
  filter_shared: false,
}
p api_instance.list_dashboards(opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

dog.get_all_boards()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get all dashboards returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	resp, r, err := api.ListDashboards(ctx, *datadogV1.NewListDashboardsOptionalParameters().WithFilterShared(false))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.ListDashboards`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.ListDashboards`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get all dashboards returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.api.DashboardsApi.ListDashboardsOptionalParameters;
import com.datadog.api.client.v1.model.DashboardSummary;

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

    try {
      DashboardSummary result =
          apiInstance.listDashboards(new ListDashboardsOptionalParameters().filterShared(false));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling DashboardsApi#listDashboards");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

from datadog import initialize, api

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

initialize(**options)

api.Dashboard.get_all()

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

/**
 * Get all dashboards returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

const params: v1.DashboardsApiListDashboardsRequest = {
  filterShared: false,
};

apiInstance
  .listDashboards(params)
  .then((data: v1.DashboardSummary) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Update a dashboard

v1 (latest)

PUT https://api.datadoghq.eu/api/v1/dashboard/{dashboard_id}https://api.ddog-gov.com/api/v1/dashboard/{dashboard_id}https://api.datadoghq.com/api/v1/dashboard/{dashboard_id}https://api.us3.datadoghq.com/api/v1/dashboard/{dashboard_id}https://api.us5.datadoghq.com/api/v1/dashboard/{dashboard_id}

概要

指定の ID を使用してダッシュボードを更新します。 This endpoint requires the dashboards_write authorization scope.

引数

パスパラメーター

名前

種類

説明

dashboard_id [required]

string

The ID of the dashboard.

リクエスト

Body Data (required)

ダッシュボードのリクエスト本文を更新します。

Expand All

フィールド

種類

説明

author_handle

string

Identifier of the dashboard author.

author_name

string

Name of the dashboard author.

created_at

date-time

Creation date of the dashboard.

description

string

Description of the dashboard.

string

ID of the dashboard.

is_read_only

boolean

DEPRECATED: Whether this dashboard is read-only. If True, only the author and admins can make changes to it. Prefer using restricted_roles to manage write authorization.

layout_type [required]

enum

Layout type of the dashboard. Allowed enum values: ordered,free

modified_at

date-time

Modification date of the dashboard.

notify_list

[string]

List of handles of users to notify when changes are made to this dashboard.

reflow_type

enum

restricted_roles

[string]

A list of role identifiers. Only the author and users associated with at least one of these roles can edit this dashboard.

template_variable_presets

[object]

Array of template variables saved views.

template_variables

[object]

List of template variables for this dashboard.

title [required]

string

Title of the dashboard.

url

string

The URL of the dashboard.

widgets [required]

[object]

List of widgets to display on the dashboard.

{
  "layout_type": "ordered",
  "title": "Example-Update_a_dashboard_returns_OK_response with list_stream widget",
  "description": "Updated description",
  "widgets": [
    {
      "definition": {
        "type": "list_stream",
        "requests": [
          {
            "columns": [
              {
                "width": "auto",
                "field": "timestamp"
              }
            ],
            "query": {
              "data_source": "apm_issue_stream",
              "query_string": ""
            },
            "response_format": "event_list"
          }
        ]
      }
    }
  ]
}

応答

A dashboard is Datadog’s tool for visually tracking, analyzing, and displaying key performance metrics, which enable you to monitor the health of your infrastructure.

Expand All

フィールド

種類

説明

author_handle

string

Identifier of the dashboard author.

author_name

string

Name of the dashboard author.

created_at

date-time

Creation date of the dashboard.

description

string

Description of the dashboard.

string

ID of the dashboard.

is_read_only

boolean

DEPRECATED: Whether this dashboard is read-only. If True, only the author and admins can make changes to it. Prefer using restricted_roles to manage write authorization.

layout_type [required]

enum

Layout type of the dashboard. Allowed enum values: ordered,free

modified_at

date-time

Modification date of the dashboard.

notify_list

[string]

List of handles of users to notify when changes are made to this dashboard.

reflow_type

enum

restricted_roles

[string]

A list of role identifiers. Only the author and users associated with at least one of these roles can edit this dashboard.

template_variable_presets

[object]

Array of template variables saved views.

template_variables

[object]

List of template variables for this dashboard.

title [required]

string

Title of the dashboard.

url

string

The URL of the dashboard.

widgets [required]

[object]

List of widgets to display on the dashboard.

{
  "author_handle": "test@datadoghq.com",
  "author_name": "John Doe",
  "created_at": "2019-09-19T10:00:00.000Z",
  "description": "string",
  "id": "123-abc-456",
  "is_read_only": false,
  "layout_type": "ordered",
  "modified_at": "2019-09-19T10:00:00.000Z",
  "notify_list": [],
  "reflow_type": "string",
  "restricted_roles": [],
  "template_variable_presets": [
    {
      "name": "string",
      "template_variables": [
        {
          "name": "string",
          "value": "string",
          "values": []
        }
      ]
    }
  ],
  "template_variables": [
    {
      "available_values": [
        "my-host",
        "host1",
        "host2"
      ],
      "default": "my-host",
      "defaults": [
        "my-host-1",
        "my-host-2"
      ],
      "name": "host1",
      "prefix": "host"
    }
  ],
  "title": "",
  "url": "/dashboard/123-abc-456/example-dashboard-title",
  "widgets": [
    {
      "definition": {
        "requests": {
          "fill": {
            "q": "avg:system.cpu.user{*}"
          }
        },
        "type": "hostmap"
      },
      "id": "integer",
      "layout": {
        "height": 0,
        "is_column_break": false,
        "width": 0,
        "x": 0,
        "y": 0
      }
    }
  ]
}

Bad Request

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Authentication Error

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Item Not Found

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

コード例

  
  # Path parameters
export dashboard_id="CHANGE_ME"
# Curl command
curl -X PUT "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard/${dashboard_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "layout_type": "ordered",
  "title": "Example-Update_a_dashboard_returns_OK_response with list_stream widget",
  "description": "Updated description",
  "widgets": [
    {
      "definition": {
        "type": "list_stream",
        "requests": [
          {
            "columns": [
              {
                "width": "auto",
                "field": "timestamp"
              }
            ],
            "query": {
              "data_source": "apm_issue_stream",
              "query_string": ""
            },
            "response_format": "event_list"
          }
        ]
      }
    }
  ]
}
EOF


  
                        

// Update a dashboard returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	// there is a valid "dashboard" in the system
	DashboardID := os.Getenv("DASHBOARD_ID")

	body := datadogV1.Dashboard{
		LayoutType:  datadogV1.DASHBOARDLAYOUTTYPE_ORDERED,
		Title:       "Example-Update_a_dashboard_returns_OK_response with list_stream widget",
		Description: *datadog.NewNullableString(datadog.PtrString("Updated description")),
		Widgets: []datadogV1.Widget{
			{
				Definition: datadogV1.WidgetDefinition{
					ListStreamWidgetDefinition: &datadogV1.ListStreamWidgetDefinition{
						Type: datadogV1.LISTSTREAMWIDGETDEFINITIONTYPE_LIST_STREAM,
						Requests: []datadogV1.ListStreamWidgetRequest{
							{
								Columns: []datadogV1.ListStreamColumn{
									{
										Width: datadogV1.LISTSTREAMCOLUMNWIDTH_AUTO,
										Field: "timestamp",
									},
								},
								Query: datadogV1.ListStreamQuery{
									DataSource:  datadogV1.LISTSTREAMSOURCE_APM_ISSUE_STREAM,
									QueryString: "",
								},
								ResponseFormat: datadogV1.LISTSTREAMRESPONSEFORMAT_EVENT_LIST,
							},
						},
					}},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	resp, r, err := api.UpdateDashboard(ctx, DashboardID, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.UpdateDashboard`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.UpdateDashboard`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Update a dashboard returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.Dashboard;
import com.datadog.api.client.v1.model.DashboardLayoutType;
import com.datadog.api.client.v1.model.ListStreamColumn;
import com.datadog.api.client.v1.model.ListStreamColumnWidth;
import com.datadog.api.client.v1.model.ListStreamQuery;
import com.datadog.api.client.v1.model.ListStreamResponseFormat;
import com.datadog.api.client.v1.model.ListStreamSource;
import com.datadog.api.client.v1.model.ListStreamWidgetDefinition;
import com.datadog.api.client.v1.model.ListStreamWidgetDefinitionType;
import com.datadog.api.client.v1.model.ListStreamWidgetRequest;
import com.datadog.api.client.v1.model.Widget;
import com.datadog.api.client.v1.model.WidgetDefinition;
import java.util.Collections;

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

    // there is a valid "dashboard" in the system
    String DASHBOARD_ID = System.getenv("DASHBOARD_ID");

    Dashboard body =
        new Dashboard()
            .layoutType(DashboardLayoutType.ORDERED)
            .title("Example-Update_a_dashboard_returns_OK_response with list_stream widget")
            .description("Updated description")
            .widgets(
                Collections.singletonList(
                    new Widget()
                        .definition(
                            new WidgetDefinition(
                                new ListStreamWidgetDefinition()
                                    .type(ListStreamWidgetDefinitionType.LIST_STREAM)
                                    .requests(
                                        Collections.singletonList(
                                            new ListStreamWidgetRequest()
                                                .columns(
                                                    Collections.singletonList(
                                                        new ListStreamColumn()
                                                            .width(ListStreamColumnWidth.AUTO)
                                                            .field("timestamp")))
                                                .query(
                                                    new ListStreamQuery()
                                                        .dataSource(
                                                            ListStreamSource.APM_ISSUE_STREAM)
                                                        .queryString(""))
                                                .responseFormat(
                                                    ListStreamResponseFormat.EVENT_LIST)))))));

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

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

"""
Update a dashboard returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi
from datadog_api_client.v1.model.dashboard import Dashboard
from datadog_api_client.v1.model.dashboard_layout_type import DashboardLayoutType
from datadog_api_client.v1.model.list_stream_column import ListStreamColumn
from datadog_api_client.v1.model.list_stream_column_width import ListStreamColumnWidth
from datadog_api_client.v1.model.list_stream_query import ListStreamQuery
from datadog_api_client.v1.model.list_stream_response_format import ListStreamResponseFormat
from datadog_api_client.v1.model.list_stream_source import ListStreamSource
from datadog_api_client.v1.model.list_stream_widget_definition import ListStreamWidgetDefinition
from datadog_api_client.v1.model.list_stream_widget_definition_type import ListStreamWidgetDefinitionType
from datadog_api_client.v1.model.list_stream_widget_request import ListStreamWidgetRequest
from datadog_api_client.v1.model.widget import Widget

# there is a valid "dashboard" in the system
DASHBOARD_ID = environ["DASHBOARD_ID"]

body = Dashboard(
    layout_type=DashboardLayoutType.ORDERED,
    title="Example-Update_a_dashboard_returns_OK_response with list_stream widget",
    description="Updated description",
    widgets=[
        Widget(
            definition=ListStreamWidgetDefinition(
                type=ListStreamWidgetDefinitionType.LIST_STREAM,
                requests=[
                    ListStreamWidgetRequest(
                        columns=[
                            ListStreamColumn(
                                width=ListStreamColumnWidth.AUTO,
                                field="timestamp",
                            ),
                        ],
                        query=ListStreamQuery(
                            data_source=ListStreamSource.APM_ISSUE_STREAM,
                            query_string="",
                        ),
                        response_format=ListStreamResponseFormat.EVENT_LIST,
                    ),
                ],
            ),
        ),
    ],
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    response = api_instance.update_dashboard(dashboard_id=DASHBOARD_ID, body=body)

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Update a dashboard returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new

# there is a valid "dashboard" in the system
DASHBOARD_ID = ENV["DASHBOARD_ID"]

body = DatadogAPIClient::V1::Dashboard.new({
  layout_type: DatadogAPIClient::V1::DashboardLayoutType::ORDERED,
  title: "Example-Update_a_dashboard_returns_OK_response with list_stream widget",
  description: "Updated description",
  widgets: [
    DatadogAPIClient::V1::Widget.new({
      definition: DatadogAPIClient::V1::ListStreamWidgetDefinition.new({
        type: DatadogAPIClient::V1::ListStreamWidgetDefinitionType::LIST_STREAM,
        requests: [
          DatadogAPIClient::V1::ListStreamWidgetRequest.new({
            columns: [
              DatadogAPIClient::V1::ListStreamColumn.new({
                width: DatadogAPIClient::V1::ListStreamColumnWidth::AUTO,
                field: "timestamp",
              }),
            ],
            query: DatadogAPIClient::V1::ListStreamQuery.new({
              data_source: DatadogAPIClient::V1::ListStreamSource::APM_ISSUE_STREAM,
              query_string: "",
            }),
            response_format: DatadogAPIClient::V1::ListStreamResponseFormat::EVENT_LIST,
          }),
        ],
      }),
    }),
  ],
})
p api_instance.update_dashboard(DASHBOARD_ID, body)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

/**
 * Update a dashboard returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

// there is a valid "dashboard" in the system
const DASHBOARD_ID = process.env.DASHBOARD_ID as string;

const params: v1.DashboardsApiUpdateDashboardRequest = {
  body: {
    layoutType: "ordered",
    title:
      "Example-Update_a_dashboard_returns_OK_response with list_stream widget",
    description: "Updated description",
    widgets: [
      {
        definition: {
          type: "list_stream",
          requests: [
            {
              columns: [
                {
                  width: "auto",
                  field: "timestamp",
                },
              ],
              query: {
                dataSource: "apm_issue_stream",
                queryString: "",
              },
              responseFormat: "event_list",
            },
          ],
        },
      },
    ],
  },
  dashboardId: DASHBOARD_ID,
};

apiInstance
  .updateDashboard(params)
  .then((data: v1.Dashboard) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Delete a dashboard

v1 (latest)

DELETE https://api.datadoghq.eu/api/v1/dashboard/{dashboard_id}https://api.ddog-gov.com/api/v1/dashboard/{dashboard_id}https://api.datadoghq.com/api/v1/dashboard/{dashboard_id}https://api.us3.datadoghq.com/api/v1/dashboard/{dashboard_id}https://api.us5.datadoghq.com/api/v1/dashboard/{dashboard_id}

概要

指定の ID を使用してダッシュボードを削除します。 This endpoint requires the dashboards_write authorization scope.

引数

パスパラメーター

名前

種類

説明

dashboard_id [required]

string

The ID of the dashboard.

応答

Response from the delete dashboard call.

Expand All

フィールド

種類

説明

deleted_dashboard_id

string

ID of the deleted dashboard.

{
  "deleted_dashboard_id": "string"
}

Authentication Error

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Dashboards Not Found

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

コード例

# Path parameters
export dashboard_id="CHANGE_ME"
# Curl command
curl -X DELETE "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard/${dashboard_id}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"



           

"""
Delete a dashboard returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi

# there is a valid "dashboard" in the system
DASHBOARD_ID = environ["DASHBOARD_ID"]

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    response = api_instance.delete_dashboard(
        dashboard_id=DASHBOARD_ID,
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Delete a dashboard returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new

# there is a valid "dashboard" in the system
DASHBOARD_ID = ENV["DASHBOARD_ID"]
p api_instance.delete_dashboard(DASHBOARD_ID)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

dashboard_id = '<DASHBOARD_ID>'
dog.delete_board(dashboard_id)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Delete a dashboard returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	// there is a valid "dashboard" in the system
	DashboardID := os.Getenv("DASHBOARD_ID")

	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	resp, r, err := api.DeleteDashboard(ctx, DashboardID)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.DeleteDashboard`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.DeleteDashboard`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Delete a dashboard returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.DashboardDeleteResponse;

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

    // there is a valid "dashboard" in the system
    String DASHBOARD_ID = System.getenv("DASHBOARD_ID");

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

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

from datadog import initialize, api

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

initialize(**options)

dashboard_id = '<DASHBOARD_ID>'

api.Dashboard.delete(dashboard_id)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"

/**
 * Delete a dashboard returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

// there is a valid "dashboard" in the system
const DASHBOARD_ID = process.env.DASHBOARD_ID as string;

const params: v1.DashboardsApiDeleteDashboardRequest = {
  dashboardId: DASHBOARD_ID,
};

apiInstance
  .deleteDashboard(params)
  .then((data: v1.DashboardDeleteResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Delete dashboards

v1 (latest)

DELETE https://api.datadoghq.eu/api/v1/dashboardhttps://api.ddog-gov.com/api/v1/dashboardhttps://api.datadoghq.com/api/v1/dashboardhttps://api.us3.datadoghq.com/api/v1/dashboardhttps://api.us5.datadoghq.com/api/v1/dashboard

概要

指定された ID を使用するダッシュボードを削除します。エラーがあった場合、ダッシュボードは削除されません (部分的に成功した場合も完了とはみなされません)。 This endpoint requires the dashboards_write authorization scope.

リクエスト

Body Data (required)

ダッシュボードのリクエスト本文を削除します。

Expand All

フィールド

種類

説明

data [required]

[object]

List of dashboard bulk action request data objects.

{
  "data": [
    {
      "id": "123-abc-456",
      "type": "dashboard"
    }
  ]
}

応答

No Content

Bad Request

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Dashboards Not Found

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

コード例

  
  ## json-request-body
# 
# Curl command
curl -X DELETE "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "data": [
    {
      "id": "123-abc-456",
      "type": "dashboard"
    },
    {
      "id": "789-def-101",
      "type": "dashboard"
    }
  ]
}
EOF


  
                        

// Delete dashboards returns "No Content" response

package main

import (
	"context"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	// there is a valid "dashboard" in the system
	DashboardID := os.Getenv("DASHBOARD_ID")

	body := datadogV1.DashboardBulkDeleteRequest{
		Data: []datadogV1.DashboardBulkActionData{
			{
				Id:   DashboardID,
				Type: datadogV1.DASHBOARDRESOURCETYPE_DASHBOARD,
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	r, err := api.DeleteDashboards(ctx, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.DeleteDashboards`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Delete dashboards returns "No Content" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.DashboardBulkActionData;
import com.datadog.api.client.v1.model.DashboardBulkDeleteRequest;
import com.datadog.api.client.v1.model.DashboardResourceType;
import java.util.Collections;

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

    // there is a valid "dashboard" in the system
    String DASHBOARD_ID = System.getenv("DASHBOARD_ID");

    DashboardBulkDeleteRequest body =
        new DashboardBulkDeleteRequest()
            .data(
                Collections.singletonList(
                    new DashboardBulkActionData()
                        .id(DASHBOARD_ID)
                        .type(DashboardResourceType.DASHBOARD)));

    try {
      apiInstance.deleteDashboards(body);
    } catch (ApiException e) {
      System.err.println("Exception when calling DashboardsApi#deleteDashboards");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

"""
Delete dashboards returns "No Content" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi
from datadog_api_client.v1.model.dashboard_bulk_action_data import DashboardBulkActionData
from datadog_api_client.v1.model.dashboard_bulk_action_data_list import DashboardBulkActionDataList
from datadog_api_client.v1.model.dashboard_bulk_delete_request import DashboardBulkDeleteRequest
from datadog_api_client.v1.model.dashboard_resource_type import DashboardResourceType

# there is a valid "dashboard" in the system
DASHBOARD_ID = environ["DASHBOARD_ID"]

body = DashboardBulkDeleteRequest(
    data=DashboardBulkActionDataList(
        [
            DashboardBulkActionData(
                id=DASHBOARD_ID,
                type=DashboardResourceType.DASHBOARD,
            ),
        ]
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    api_instance.delete_dashboards(body=body)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Delete dashboards returns "No Content" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new

# there is a valid "dashboard" in the system
DASHBOARD_ID = ENV["DASHBOARD_ID"]

body = DatadogAPIClient::V1::DashboardBulkDeleteRequest.new({
  data: [
    DatadogAPIClient::V1::DashboardBulkActionData.new({
      id: DASHBOARD_ID,
      type: DatadogAPIClient::V1::DashboardResourceType::DASHBOARD,
    }),
  ],
})
api_instance.delete_dashboards(body)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

/**
 * Delete dashboards returns "No Content" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

// there is a valid "dashboard" in the system
const DASHBOARD_ID = process.env.DASHBOARD_ID as string;

const params: v1.DashboardsApiDeleteDashboardsRequest = {
  body: {
    data: [
      {
        id: DASHBOARD_ID,
        type: "dashboard",
      },
    ],
  },
};

apiInstance
  .deleteDashboards(params)
  .then((data: any) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Restore deleted dashboards

v1 (latest)

PATCH https://api.datadoghq.eu/api/v1/dashboardhttps://api.ddog-gov.com/api/v1/dashboardhttps://api.datadoghq.com/api/v1/dashboardhttps://api.us3.datadoghq.com/api/v1/dashboardhttps://api.us5.datadoghq.com/api/v1/dashboard

概要

指定された ID を使用するダッシュボードを復元します。エラーがあった場合、ダッシュボードは復元されません (部分的に成功した場合も完了とはみなされません)。 This endpoint requires the dashboards_write authorization scope.

リクエスト

Body Data (required)

ダッシュボードのリクエスト本文を復元します。

Expand All

フィールド

種類

説明

data [required]

[object]

List of dashboard bulk action request data objects.

{
  "data": [
    {
      "id": "123-abc-456",
      "type": "dashboard"
    }
  ]
}

応答

No Content

Bad Request

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Dashboards Not Found

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

フィールド

種類

説明

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

コード例

  
  ## json-request-body
# 
# Curl command
curl -X PATCH "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/dashboard" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "data": [
    {
      "id": "123-abc-456",
      "type": "dashboard"
    },
    {
      "id": "789-def-101",
      "type": "dashboard"
    }
  ]
}
EOF


  
                        

// Restore deleted dashboards returns "No Content" response

package main

import (
	"context"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	// there is a valid "dashboard" in the system
	DashboardID := os.Getenv("DASHBOARD_ID")

	body := datadogV1.DashboardRestoreRequest{
		Data: []datadogV1.DashboardBulkActionData{
			{
				Id:   DashboardID,
				Type: datadogV1.DASHBOARDRESOURCETYPE_DASHBOARD,
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewDashboardsApi(apiClient)
	r, err := api.RestoreDashboards(ctx, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.RestoreDashboards`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Restore deleted dashboards returns "No Content" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.DashboardBulkActionData;
import com.datadog.api.client.v1.model.DashboardResourceType;
import com.datadog.api.client.v1.model.DashboardRestoreRequest;
import java.util.Collections;

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

    // there is a valid "dashboard" in the system
    String DASHBOARD_ID = System.getenv("DASHBOARD_ID");

    DashboardRestoreRequest body =
        new DashboardRestoreRequest()
            .data(
                Collections.singletonList(
                    new DashboardBulkActionData()
                        .id(DASHBOARD_ID)
                        .type(DashboardResourceType.DASHBOARD)));

    try {
      apiInstance.restoreDashboards(body);
    } catch (ApiException e) {
      System.err.println("Exception when calling DashboardsApi#restoreDashboards");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

"""
Restore deleted dashboards returns "No Content" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.dashboards_api import DashboardsApi
from datadog_api_client.v1.model.dashboard_bulk_action_data import DashboardBulkActionData
from datadog_api_client.v1.model.dashboard_bulk_action_data_list import DashboardBulkActionDataList
from datadog_api_client.v1.model.dashboard_resource_type import DashboardResourceType
from datadog_api_client.v1.model.dashboard_restore_request import DashboardRestoreRequest

# there is a valid "dashboard" in the system
DASHBOARD_ID = environ["DASHBOARD_ID"]

body = DashboardRestoreRequest(
    data=DashboardBulkActionDataList(
        [
            DashboardBulkActionData(
                id=DASHBOARD_ID,
                type=DashboardResourceType.DASHBOARD,
            ),
        ]
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DashboardsApi(api_client)
    api_instance.restore_dashboards(body=body)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Restore deleted dashboards returns "No Content" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::DashboardsAPI.new

# there is a valid "dashboard" in the system
DASHBOARD_ID = ENV["DASHBOARD_ID"]

body = DatadogAPIClient::V1::DashboardRestoreRequest.new({
  data: [
    DatadogAPIClient::V1::DashboardBulkActionData.new({
      id: DASHBOARD_ID,
      type: DatadogAPIClient::V1::DashboardResourceType::DASHBOARD,
    }),
  ],
})
api_instance.restore_dashboards(body)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

/**
 * Restore deleted dashboards returns "No Content" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.DashboardsApi(configuration);

// there is a valid "dashboard" in the system
const DASHBOARD_ID = process.env.DASHBOARD_ID as string;

const params: v1.DashboardsApiRestoreDashboardsRequest = {
  body: {
    data: [
      {
        id: DASHBOARD_ID,
        type: "dashboard",
      },
    ],
  },
};

apiInstance
  .restoreDashboards(params)
  .then((data: any) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Create a shared dashboard

v1 (latest)

POST https://api.datadoghq.eu/api/v1/dashboard/publichttps://api.ddog-gov.com/api/v1/dashboard/publichttps://api.datadoghq.com/api/v1/dashboard/publichttps://api.us3.datadoghq.com/api/v1/dashboard/publichttps://api.us5.datadoghq.com/api/v1/dashboard/public

概要

指定した非公開ダッシュボードを共有し、公開表示できる URL を生成します。 This endpoint requires the dashboards_public_share authorization scope.

リクエスト

Body Data (required)

共有ダッシュボードのリクエスト本文を作成します。

Expand All

フィールド

種類

説明

author

object

User who shared the dashboard.

ダッシュボード

Create a new dashboard

概要

リクエスト

Body Data (required)

Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

Create a distribution widget using a histogram request containing a formulas and functions events query

Create a distribution widget using a histogram request containing a formulas and functions metrics query

応答

コード例

Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

Create a distribution widget using a histogram request containing a formulas and functions events query

Create a distribution widget using a histogram request containing a formulas and functions metrics query

Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

Create a distribution widget using a histogram request containing a formulas and functions events query

Create a distribution widget using a histogram request containing a formulas and functions metrics query

Instructions

Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

Create a distribution widget using a histogram request containing a formulas and functions events query

Create a distribution widget using a histogram request containing a formulas and functions metrics query

Instructions

Create a new dashboard returns "OK" response

Instructions

Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

Create a distribution widget using a histogram request containing a formulas and functions events query

Create a distribution widget using a histogram request containing a formulas and functions metrics query

Instructions

Create a new dashboard returns "OK" response

Instructions

Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

Create a distribution widget using a histogram request containing a formulas and functions events query

Create a distribution widget using a histogram request containing a formulas and functions metrics query

Instructions

Create a distribution widget using a histogram request containing a formulas and functions APM Stats query

Create a distribution widget using a histogram request containing a formulas and functions events query

Create a distribution widget using a histogram request containing a formulas and functions metrics query

Instructions

Get a dashboard

概要

引数

パスパラメーター

応答

コード例

Get a dashboard

Get a dashboard

Instructions

Get a dashboard

Instructions

Get a dashboard

Instructions

Get a dashboard

Instructions

Get a dashboard

Instructions

Get a dashboard

Instructions

Get a dashboard

Instructions

Get all dashboards

概要

引数

クエリ文字列

応答

コード例

Get all dashboards

Get all dashboards

Instructions

Get all dashboards

Instructions

Get all dashboards

Instructions

Get all dashboards

Instructions

Get all dashboards

Instructions

Get all dashboards

Instructions

Get all dashboards

Instructions

Update a dashboard