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Add variable controls to dashboards

Variable controls bind interactive controls to variables in your ES|QL visualization queries. Unlike the standard dashboard controls that filter using data view fields, variable controls work directly with ES|QL queries to enable dynamic filtering, grouping, and function selection.

Note

In versions 9.0 and 9.1, variable controls are called ES|QL controls.

To add variable controls to a dashboard, you need:

  • All privilege for the Dashboard feature in Kibana
  • An existing dashboard open in Edit mode
  • An ES|QL visualization on your dashboard, or the intent to create one

A dashboard can hold up to 1,000 top-level items (panels, unpinned controls, and sections) and, separately, up to 100 controls pinned to the top of the dashboard. For the exact limits, refer to Panel limits.

Variable controls act as variables in your ES|QL visualization queries. On the dashboard, they appear as options lists. A control's options can be:

  • Values or fields, either static or defined by a query.
  • Functions.

You create a variable control while writing an ES|QL query: the autocomplete suggests adding a control for field values, field names, function configuration, or function names.

On a dashboard, you can also add a variable control directly by selecting AddControlsVariable control.

  1. While you edit your ES|QL query, the autocomplete menu suggests adding a control when relevant or when you type ? in the query. Select Create control.

    ES|QL query prompting to add a control
  2. A flyout opens to let you configure the control. Specify:

    • The type of the control:

      • For controls with Static values, enter available values manually or select them from the dropdown list.

      • For controls with Values from a query, write an ES|QL query to populate the list of options. Use this option to dynamically retrieve control values or to set up chained controls.

        Tip - Only display values available for the selected time range

        To restrict the options to values that exist within the selected time range, add WHERE @timestamp <= ?_tend AND @timestamp > ?_tstart to the control's query. If your indices don't have a @timestamp field, use custom time parameters instead.

    • The name of the control. You use this name to reference the control in ES|QL queries.

      • Start the name with ? for options that are static values.
      • Start the name with ?? for options that are fields or functions.
    • The values users can select. You can add multiple values from suggested fields or type in custom values. If you selected Values from a query, write an ES|QL query instead.

    • The label of the control. This is the label displayed in Discover or in the dashboard.

    • Whether the control allows a single selection or multiple selections. Multiple selections require using the MV_CONTAINS or MV_INTERSECTS functions in your query.

  3. Save the control.

The control is created. If you created it while editing a query, its variable is inserted into that query, which you can keep editing.

You can reference the control in your ES|QL visualization queries by typing its name.

Where you place a variable control affects which panels it filters. For details, refer to How controls affect the dashboard.

Examples

  • Filter by a selected value:

    | WHERE field == ?value
    		
  • Group by a selected field:

    | STATS count = COUNT(*) BY ??field
    		
  • Adjust a function setting, such as a date histogram interval:

    | STATS count = COUNT(*) BY BUCKET(@timestamp, ?interval)
    		
  • Switch the aggregation function:

    | STATS metric = ??function
    		

You can create controls that let users select multiple values. To do that:

  1. Add the MV_CONTAINS function to your query, with the field as the first parameter (superset) and a variable as the second parameter (subset). For example:

    FROM logs-* | WHERE MV_CONTAINS(field, ?values)
    		
    Note

    Multi-selection is only available for ?values variables, not for ??fields or ??functions variables.

    MV_CONTAINS checks that all subset values are present. Use MV_INTERSECTS instead if matching any subset value is enough.

  2. When defining the control, select the Allow multiple selections option.

  3. Save the control.

The newly configured control becomes available and allows users to select multiple values.

Chain variable controls so that the selection in one control determines the options available in another. This is useful when you work with data from multiple indices or need hierarchical filtering, because it narrows control selections dynamically without filtering the entire dashboard.

To chain variable controls, reference one control's variable in another control's ES|QL query using the ?variable_name syntax.

Example: You create a dashboard that analyzes web traffic by region and IP address. Next, you want to see only the IP addresses that are active in a selected region, and then analyze traffic patterns for a specific IP, all without filtering the entire dashboard by region.

Chaining controls filtering an ES|QL visualization in a dashboard

  1. Create the first control that will be referenced in other controls.

    Tip

    Create the controls that will be referenced in other controls first. This allows the ES|QL editor to provide proper autocomplete suggestions.

    In Edit mode, select AddControlsVariable control in the application menu, then define the control:

    • Type: Values from a query
    • Query:
      FROM kibana_sample_data_logs | WHERE @timestamp <= ?_tend AND @timestamp > ?_tstart | STATS BY geo.dest
      		
    • Variable name: ?region
    • Label: Region

    This control extracts all unique destination regions from your logs.

  2. Create the second control that depends on the first control.

    Add another variable control:

    • Type: Values from a query
    • Query:
      FROM kibana_sample_data_logs
      | WHERE @timestamp <= ?_tend AND @timestamp > ?_tstart AND geo.dest == ?region
      | STATS BY ip
      		
    • Variable name: ?ip
    • Label: IP address

    This control references the ?region variable and the built-in time range variables (?_tstart and ?_tend). The available IP addresses will be only those associated with the selected region.

  3. Test the chained controls. Both controls are now visible on your dashboard. Select different values in the Region control and observe how the available IP addresses in the IP address control change to show only IPs from that region.

  4. Create an ES|QL visualization that uses the ?ip control to filter data. For example:

    FROM kibana_sample_data_logs
    | WHERE ip == ?ip
    | STATS count = COUNT(*) BY day = DATE_TRUNC(1 day, @timestamp)
    | SORT day
    		

    This visualization filters data based on the selected IP address, while the IP address options themselves are filtered by the selected region.

Note

When you select a value in a parent control, the child control's query reruns automatically. If the currently selected value in the child control is no longer available in the new result set, it is marked as invalid or incompatible.

To add the results of your Discover explorations to a dashboard in a way that preserves the controls created from Discover and also adds them to the dashboard, you have two methods:

Method 1: Adding the Discover session's results

This method allows you to add the result table of your Discover ES|QL query to any dashboard.

  1. Save the ES|QL query containing the variable control into a Discover session. If your Discover session contains several tabs:

    • You can choose which tab the panel displays after adding the session to a dashboard.
    • Only the first tab is imported to the dashboard.
  2. Go to Dashboards and open or create one.

  3. Select Add, then From library.

  4. Find and select the Discover session you saved earlier.

A new panel appears on the dashboard with the results of the query along with any attached controls.

Importing Discover session with controls into a dashboard

Method 2: Adding the Discover visualization

This method allows you to add the visualization of your Discover ES|QL query to any dashboard.

  1. Next to the Discover visualization, select Save visualization to dashboard (or Save visualization in earlier versions).

    Importing Discover visualization with controls into a dashboard
  2. Select the dashboard to add the visualization to. You can choose an existing dashboard or create one.

The selected dashboard opens. It now includes a new panel that shows the visualization imported from Discover. Existing controls from the initial query in Discover are also added. You can find them at the top of the dashboard.

After a variable control is on your dashboard, you can edit it, adjust its display, move it, or delete it. How you access these actions depends on whether the control is pinned:

  • When pinned, hover over the control to reveal its action icons.
  • When unpinned, hover over the control to reveal its action icons, or open its panel menu, which adds standard panel actions such as Duplicate and Copy to dashboard.
Action Description
Unpin or Pin to Dashboard Move the control between the top of the dashboard and the dashboard body. For details, refer to Pinned and unpinned controls.
Edit Change the control's query, variable name, label, and other settings in the control's flyout. You can also update a control by editing the ES|QL query that references it.
Display settings For pinned controls, set the minimum width and whether the control expands to fill the available space. Resize an unpinned control by dragging it, like any other panel. In earlier versions, set the width directly in the control's settings when you add or edit it.
Remove or Delete Delete the control from the dashboard.
Note

If you delete a variable control that's used in an ES|QL visualization, the visualization breaks. Edit the visualization query and remove or update the control reference.