Parameters are an experimental feature. See our Feature Maturity Levels documentation to understand what this means.
Parameters are defined in the lightdash.config.yml file, which is not supported when your project is connected to dbt Cloud.
Parameters are variables that allow you to create dynamic, reusable queries in Lightdash. They enable users to interact with and customize queries without needing to write SQL. Parameters are defined in your lightdash.config.yml file and can be referenced in various parts of your Lightdash project.

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What are parameters?

Parameters are variables that you can define once and reference in multiple places throughout your Lightdash project. They allow you to:
  • Create dynamic filters that users can change at runtime
  • Make your SQL more reusable and maintainable
  • Allow non-technical users to customize queries without writing SQL
  • Save parameter values at the chart and dashboard level
For example, you might define a region parameter that users can set to filter data by different geographic regions, or a date_range parameter that allows users to select different time periods for analysis.

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Where can you reference parameters?

Parameters can be referenced in many places throughout your Lightdash project:
  1. Dimension SQL: Use parameters in the SQL definition of a dimension
  2. Metric SQL: Use parameters in the SQL definition of a metric
  3. Table SQL: Use parameters in the SQL definition of a table
  4. Table SQL_ON: Use parameters in the SQL_ON clause of a table join
  5. Table Join: Use parameters in join conditions
  6. SQL Runner: Use parameters in custom SQL queries
  7. Table Calculations: Use parameters in table calculations
  8. Additional Dimensions: Use parameters in the SQL definition of an additional dimension
  9. Custom Dimensions: Use parameters in custom dimension definitions

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How to reference parameters in SQL

To reference parameters in SQL, use the following syntax: 
${lightdash.parameters.parameter_name}
For example, to reference a parameter named region: 
${lightdash.parameters.region}
You can also use the shorter alias: 
${ld.parameters.parameter_name}
For example: 
${ld.parameters.region}
Both syntaxes are equivalent and can be used interchangeably.

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How to define parameters

Parameters are defined in your lightdash.config.yml file. Here’s an example of how to define parameters: 
parameters:
  # Parameter with simple options list
  date_range:
    label: "Date Range"
    description: "Filter data by date range"
    options:
      - "2023-01-01"
      - "2022-01-01"
      - "2021-01-01"
    default: "2023-01-01"
  
  # Parameter with multiple selection enabled
  region:
    label: "Region"
    description: "Filter data by region"
    options:
      - "EMEA"
      - "AMER"
      - "APAC"
    default: ["EMEA", "AMER"]
    multiple: true
  
  # Parameter with options from a dimension
  department:
    label: "Department"
    description: "Filter data by department"
    options_from_dimension:
      model: "employees"
      dimension: "department"
For a complete reference of parameter properties and options, see the lightdash.config.yml reference.

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Examples of using parameters

Let’s look at some examples of how to use parameters in different parts of your Lightdash project.

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Example 1: Using parameters in dimension SQL

You can reference parameters in the SQL definition of a dimension: 
models:
  - name: orders
    columns:
      - name: filtered_revenue
        meta:
          dimension:
            type: number
            sql: |
              CASE 
                WHEN ${TABLE}.region IN (${lightdash.parameters.region}) 
                THEN ${TABLE}.revenue 
                ELSE 0 
              END
In this example, the filtered_revenue dimension will only show revenue for the regions selected in the region parameter.

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Example 2: Using parameters in table joins

You can use parameters in the SQL_ON clause of a table join: 
models:
  - name: orders
    meta:
      joins:
        - join: customers
          sql_on: |
            ${orders.customer_id} = ${customers.id} 
            AND ${customers.region} IN (${lightdash.parameters.region})
This join will only include customers from the regions selected in the region parameter.

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Example 3: Using parameters in table calculations

You can reference parameters in table calculations: 
-- Table calculation example
CASE 
  WHEN ${orders.order_date} >= '${lightdash.parameters.date_range}'
  THEN ${orders.revenue}
  ELSE 0
END
This table calculation will only include revenue for orders placed on or after the date selected in the date_range parameter.

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Example 4: Using parameters in additional dimensions

You can use parameters in custom dimension definitions: 
models:
  - name: orders
    columns:
      - name: order_date
        meta:
          dimension:
            type: date
          additional_dimensions:
            is_after_cutoff_date:
              type: boolean
              sql: ${order_date} >= '${lightdash.parameters.date_range}'
This additional dimension will indicate whether an order was placed on or after the date selected in the date_range parameter.

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Example 5: Using parameters in SQL Runner

Parameters can also be used in SQL Runner queries: 
SELECT
  order_id,
  order_date,
  revenue
FROM orders
WHERE region IN (${lightdash.parameters.region})
  AND order_date >= '${lightdash.parameters.date_range}'
This query will filter orders by the regions selected in the region parameter and by the date selected in the date_range parameter.

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Saving parameter values at chart and dashboard levels

Parameter values can be saved at both the chart and dashboard levels.

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Saving parameter values in charts

When you create a chart using parameters, you can save the specific parameter values with the chart. This means that when someone views the chart, they’ll see the data filtered according to the saved parameter values. To save parameter values with a chart:
  1. Create or edit a chart
  2. Set the parameter values as desired
  3. Save the chart
The parameter values will be saved with the chart and will be applied whenever the chart is viewed.

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Saving parameter values in dashboards

You can also save parameter values at the dashboard level, which allows you to create dashboards with consistent parameter values across all charts. To save parameter values in a dashboard:
  1. Create or edit a dashboard
  2. Add charts to the dashboard
  3. Set the parameter values as desired
  4. Save the dashboard
The parameter values will be saved with the dashboard and will be applied to all charts on the dashboard that have parameterized fields.

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Best practices for using parameters

Here are some best practices to follow when using parameters:
  1. Use descriptive names: Choose parameter names that clearly indicate their purpose
  2. Provide default values: Set default values for parameters to ensure queries work even if users don’t set parameter values
  3. Add descriptions: Include clear descriptions for parameters to help users understand their purpose
  4. Consider using options_from_dimension: For parameters that should match values in your data, use options_from_dimension to dynamically populate options
  5. Consider performance: Be mindful of how parameters affect query performance, especially with large datasets