arguments
version: 2
macros:
- name: <macro name>
arguments:
- name: <arg name>
type: <string>
description: <markdown_string>
Definition
The arguments
property is used to define the parameters that a macro can accept. Each argument can have a name
, type
, and description
. You can add arguments
to a macro property, which helps in documenting the macro and understanding what inputs it requires.
type
From dbt Core v1.10, you can opt into validating the arguments you define in macro documentation using the validate_macro_args
behavior change flag. When enabled, dbt will:
- Infer arguments from the macro and includes them in the manifest.json file if no arguments are documented.
- Raise a warning if documented argument names don't match the macro definition.
- Raise a warning if
type
fields don't follow supported formats.
Learn more about macro argument validation.
version: 2
macros:
- name: <macro name>
arguments:
- name: <arg name>
type: <string>
Supported types
From dbt Core v1.10, when you use the validate_macro_args
flag, dbt supports the following types for macro arguments:
string
orstr
boolean
orbool
integer
orint
float
any
list[<Type>]
, for example,list[string]
dict[<Type>, <Type>]
, for example,dict[str, list[int]]
optional[<Type>]
, for example,optional[integer]
relation
column
Note that the types follow a Python-like style but are used for documentation and validation only. They are not Python types.
Examples
{% macro cents_to_dollars(column_name, scale=2) %}
({{ column_name }} / 100)::numeric(16, {{ scale }})
{% endmacro %}
version: 2
macros:
- name: cents_to_dollars
arguments:
- name: column_name
type: column
description: "The name of a column"
- name: scale
type: integer
description: "The number of decimal places to round to. Default is 2."
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