Skip to main content

Simple metrics

Simple metrics are metrics that directly reference a single measure, without any additional measures involved. They are aggregations over a column in your data platform and can be filtered by one or multiple dimensions.

The parameters, description, and type for simple metrics are:

ParameterDescriptionType
nameThe name of the metric.Required
descriptionThe description of the metric.Optional
typeThe type of the metric (cumulative, derived, ratio, or simple).Required
labelThe value that will be displayed in downstream tools.Required
type_paramsThe type parameters of the metric.Required
measureThe measure you're referencing.Required

The following displays the complete specification for simple metrics, along with an example.

metrics:
- name: The metric name # Required
description: the metric description # Optional
type: simple # Required
label: The value that will be displayed in downstream tools #Required
type_params: # Required
measure: The measure you're referencing # Required

Simple metrics example‚Äč

  metrics: 
- name: customers
description: Count of customers
type: simple # Pointers to a measure you created in a semantic model
label: Count of customers
type_params:
measure: customers # The measure youre creating a proxy of.
- name: large_orders
description: "Order with order values over 20."
type: SIMPLE
label: Large Orders
type_params:
measure: orders
filter: | # For any metric you can optionally include a filter on dimension values
{{Dimension('customer__order_total_dim')}} >= 20
0