dbt-labs · mirnawong1 · Nov 17, 2023 · Jul 31, 2023 · Nov 14, 2023 · Nov 15, 2023
@@ -6,19 +6,13 @@ sidebar_label: "Measures"
 tags: [Metrics, Semantic Layer]
 ---
 
-Measures are aggregations performed on columns in your model. They can be used as final metrics or serve as building blocks for more complex metrics. Measures have several inputs, which are described in the following table along with their field types.
-
-| Parameter | Description | Type |
-| --------- | ----------- | ---- |
-| [`name`](#name) | Provide a name for the measure, which must be unique and can't be repeated across all semantic models in your dbt project. | Required |
-| [`description`](#description) | Describes the calculated measure. | Optional |
-| [`agg`](#aggregation) | dbt supports aggregations such as `sum`, `min`, `max`, and more. Refer to [Aggregation](/docs/build/measures#aggregation) for the full list of supported aggregation types. | Required |
-| [`expr`](#expr) | You can either reference an existing column in the table or use a SQL expression to create or derive a new one. | Optional |
-| [`non_additive_dimension`](#non-additive-dimensions) | Non-additive dimensions can be specified for measures that cannot be aggregated over certain dimensions, such as bank account balances, to avoid producing incorrect results. | Optional |
-| `agg_params` | specific aggregation properties such as a percentile. | Optional |
-| `agg_time_dimension` | The time field. Defaults to the default agg time dimension for the semantic model.  | Optional |
-| `label` | How the metric appears in project docs and downstream integrations. | Required |
+Measures are aggregations performed on columns in your model. They can be used as final metrics or serve as building blocks for more complex metrics. 
 
+Measures have several inputs, which are described in the following table along with their field types.
+
+import MeasuresParameters from '/snippets/_sl-measures-parameters.md';
+
+<MeasuresParameters />
 
 ## Measure spec
 

@@ -40,17 +40,17 @@ The complete spec for semantic models is below:
 
 ```yaml
 semantic_models:
-  - name: the_name_of_the_semantic_model  ## Required
-    description: same as always           ## Optional
-    model: ref('some_model')              ## Required
-    defaults:                             ## Required
-      agg_time_dimension: dimension_name  ## Required if the model contains dimensions
-    entities:                             ## Required
-      - see more information in entities
-    measures:                             ## Optional
-      - see more information in measures section
-    dimensions:                           ## Required
-      - see more information in dimensions section
+  - name: the_name_of_the_semantic_model      ## Required
+    description: same as always               ## Optional
+    model: ref('some_model')                  ## Required
+    default:                                  ## Required
+      agg_time_dimension: dimension_name    ## Required if the model contains dimensions
+    entities:                                 ## Required
+       - see more information in entities
+    measures:                                 ## Optional
+       - see more information in measures section
+    dimensions:                               ## Required
+       - see more information in dimensions section
     primary_entity: >-
       if the semantic model has no primary entity, then this property is required. #Optional if a primary entity exists, otherwise Required
 ```
@@ -230,16 +230,14 @@ For semantic models with a measure, you must have a [primary time group](/docs/b
 
 ### Measures
 
-[Measures](/docs/build/measures) are aggregations applied to columns in your data model. They can be used as the foundational building blocks for more complex metrics, or be the final metric itself. Measures have various parameters which are listed in a table along with their descriptions and types.
+[Measures](/docs/build/measures) are aggregations applied to columns in your data model. They can be used as the foundational building blocks for more complex metrics, or be the final metric itself. 
+
+Measures have various parameters which are listed in a table along with their descriptions and types.
+
+import MeasuresParameters from '/snippets/_sl-measures-parameters.md';
+
+<MeasuresParameters />
 
-| Parameter | Description | Field type |
-| --- | --- | --- |
-| `name`| Provide a name for the measure, which must be unique and can't be repeated across all semantic models in your dbt project. | Required |
-| `description` | Describes the calculated measure. | Optional |
-| `agg` | dbt supports the following aggregations: `sum`, `max`, `min`, `count_distinct`, and `sum_boolean`. | Required |
-| `expr` | You can either reference an existing column in the table or use a SQL expression to create or derive a new one. | Optional |
-| `non_additive_dimension` | Non-additive dimensions can be specified for measures that cannot be aggregated over certain dimensions, such as bank account balances, to avoid producing incorrect results. | Optional |
-| `create_metric` | You can create a metric directly from a measure with `create_metric: True` and specify its display name with create_metric_display_name. Default is false. | Optional |
 
 
 import SetUpPages from '/snippets/_metrics-dependencies.md';

@@ -0,0 +1,12 @@
+| Parameter | Description | 
+| --- | --- | --- | 
+| [`name`](/docs/build/measures#name) | Provide a name for the measure, which must be unique and can't be repeated across all semantic models in your dbt project. | Required | 
+| [`description`](/docs/build/measures#description) | Describes the calculated measure. | Optional | 
+| [`agg`](/docs/build/measures#description) | dbt supports the following aggregations: `sum`, `max`, `min`, `count_distinct`, and `sum_boolean`. | Required | 
+| [`expr`](/docs/build/measures#expr) | Either reference an existing column in the table or use a SQL expression to create or derive a new one. | Optional | 
+| [`non_additive_dimension`](/docs/build/measures#non-additive-dimensions) | Non-additive dimensions can be specified for measures that cannot be aggregated over certain dimensions, such as bank account balances, to avoid producing incorrect results. | Optional |
+| `agg_params` | Specific aggregation properties such as a percentile. | Optional | 
+| `agg_time_dimension` | The time field. Defaults to the default agg time dimension for the semantic model.  | Optional | 1.6 and higher |
+| `label`*  | How the metric appears in project docs and downstream integrations. | Required | 
+| `create_metric`* | You can create a metric directly from a measure with `create_metric: True` and specify its display name with `create_metric_display_name`.  | Optional |
+*Available on dbt version 1.7 or higher.