Create a dashboard using REST API endpoints

Create or replicate dashboards from different environments using the data/ui/views REST API endpoint. For example, you can move a dashboard from a testing environment to production with the REST API endpoint. The REST API endpoints can also read, update, and delete dashboards.

Format the dashboard definition

When creating a dashboard using REST API endpoints, the components of a dashboard definition must follow a specific format.

Root node
The root node must be <dashboard version="2">, which indicates the dashboard is a Studio dashboard. You can also specify the theme as "light" or "dark" with the theme attribute in the root node. The following is an example of a root node.

<dashboard version="2" theme="dark">

Label
Title your dashboard with the label. The following is an example of a label.

<label>Sample Dashboard</label>

Description
Provide extra context about your dashboard with the description. The following is an example of a description.

<description>Sample Description</description>

Definition
The dashboard's JSON definition must be wrapped in <![CDATA[ … ]]>. The following is an example of how a <![CDATA[ … ]]> wraps around a dashboard JSON definition.

 <definition><![CDATA[
  {
    <JSON definition here>
  }
 ]]></definition>

Meta type
Hide different elements with the meta type. The meta type must be <meta type="hiddenElements">. All hidden elements apply only to View mode and must be contained in JSON wrapped in <![CDATA[ … ]]>.

• Set hideEdit to "true" to hide the Edit button.
• Set hideOpenInSearch to "true" to remove the ability to open and edit a query in the full Search experience.
• Set hideExport to "true" to remove the ability to export dashboards.

The following is a meta type example.

<meta type="hiddenElements"><![CDATA[
  {
    "hideEdit": false,
    "hideOpenInSearch": false,
    "hideExport": false
  }
]]></meta>

Create a dashboard

You can create a dashboard with the following steps.

1. Write your initial REST command. The command uses the following structure: https://<host>:<mPort>/servicesNS/<user>/<app_name>/data/ui/views. For example, your REST command might look like the following:

   curl -k -u admin:pass https://localhost:8089/servicesNS/admin/search/data/ui/views \
   

2. Write your header request parameter. For example, your header request parameter might look like the following:

   --header 'Content-Type: application/x-www-form-urlencoded' \
   

3. Write the name data request parameter with the ID of your dashboard. For example, your request parameter might look like the following:

   --data-urlencode 'name=sample_dashboard' \
   

4. Write the eai:data data request parameter. For example, your request parameter might look like the following:

   --data-urlencode 'eai:data=
   <dashboard version="2" theme="dark">
   

Example of creating a dashboard using REST API endpoints

The following example shows how to create a dashboard using the /data/ui/views endpoint.

curl -k -u admin:pass https://localhost:8089/servicesNS/admin/search/data/ui/views \
--header 'Content-Type: application/x-www-form-urlencoded' \
--data-urlencode 'name=sample_dashboard' \
--data-urlencode 'eai:data=
<dashboard version="2" theme="dark">
   <label>Sample Dashboard</label>
   <description>Sample Description</description>
   <definition><![CDATA[
{
    "title": "Sample Dashboard",
    "description": "",
    "inputs": {
        "input_global_trp": {
            "options": {
                "defaultValue": "-24h@h,now",
                "token": "global_time"
            },
            "title": "Global Time Range",
            "type": "input.timerange"
        }
    },
    "defaults": {
        "dataSources": {
            "ds.search": {
                "options": {
                    "queryParameters": {
                        "earliest": "$global_time.earliest$",
                        "latest": "$global_time.latest$"
                    }
                }
            }
        }
    },
    "visualizations": {
        "viz_FjzwMaVe": {
            "dataSources": {
                "primary": "ds_nPeRRFId"
            },
            "options": {},
            "type": "splunk.singlevalue"
        }
    },
    "dataSources": {
        "ds_nPeRRFId": {
            "name": "Search_1",
            "options": {
                "query": "index=_internal \n| stats count"
            },
            "type": "ds.search"
        }
    },
    "layout": {
        "globalInputs": [
            "input_global_trp"
        ],
        "layoutDefinitions": {
            "layout_1": {
                "options": {
                    "height": 960,
                    "width": 1440
                },
                "structure": [
                    {
                        "item": "viz_FjzwMaVe",
                        "position": {
                            "h": 250,
                            "w": 250,
                            "x": 0,
                            "y": 0
                        },
                        "type": "block"
                    }
                ],
                "type": "absolute"
            }
        },
        "tabs": {
            "items": [
                {
                    "label": "New tab",
                    "layoutId": "layout_1"
                }
            ]
        }
    }
}
   ]]></definition>
   <meta type="hiddenElements"><![CDATA[
{
   "hideEdit": false,
   "hideOpenInSearch": false,
   "hideExport": false
}
   ]]></meta>
</dashboard>'

Reading, updating, and deleting a dashboard

You can pull, update, and delete your dashboard using GET, POST, and DELETE HTTP methods. For more details, see data/ui/views/{name} in the REST API Reference manual.