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This parameter is useful for creating pre-defined rankings like “Top 10 States by Sales” or “Bottom 5 Products by Revenue” without requiring manual filters. This allows you to:
  • Create dimensions that show only the most relevant values for analysis
  • Improve query performance by limiting the number of returned values, or
  • Build reports with ranking without maintaining manual lists
When used, Omni generates a query that:
  1. Aggregates the specified measure
  2. Sorts by that measure
  3. Limits to the specified number of values
  4. Returns the dimension values that meet the criteria

Syntax

Properties

object
The name of the dimension. Dimension names must:
  • Be unique within the view
  • Start with a letter
  • Contain only alphanumeric characters and underscores

Query-time parameterization

You can override the default n value at query time without modifying the model definition. This allows you to dynamically adjust the number of returned values for analysis. Use the syntax field_name[number] where number overrides the model’s default n value. For example, if you have a dimension named top_5_states with n: 5 in the model, you can use top_5_states[2] in your query to limit results to the top 2 states instead. When you override the n value:
  • The dimension returns the specified number of top or bottom values based on the query-time parameter
  • The Other bucket (if configured with the else parameter automatically adjusts to include all remaining values
  • If no parameterization is provided, the dimension uses the model-defined default n value
Consider the following example:
Model definition
And in the query, to override the defined n value:
  • top_5_states returns 6 rows: the top 5 states + Other
  • top_5_states[2] returns 3 rows: the top 2 states + Other
  • top_5_states[10] returns 11 rows: the top 10 states + Other

Examples

Top 10 states by order count
Bottom 3 countries by order count
Top 20 products by revenue
Top 5 sales reps by deal value
Top 10 customers with custom label for remaining values
Top 5 categories without grouping remaining values