defaults Function

The defaults function is a specialized function intended for use with input variables whose type constraints are object types or collections of object types that include optional attributes.

When you define an attribute as optional and the caller doesn't provide an explicit value for it, Terraform will set the attribute to null to represent that it was omitted. If you want to use a placeholder value other than null when an attribute isn't set, you can use the defaults function to concisely assign default values only where an attribute value was set to null.

defaults(input_value, defaults)

The defaults function expects that the input_value argument will be the value of an input variable with an exact type constraint (not containing any). The function will then visit every attribute in the data structure, including attributes of nested objects, and apply the default values given in the defaults object.

The interpretation of attributes in the defaults argument depends on what type an attribute has in the input_value:

• Primitive types (string, number, bool): if a default value is given then it will be used only if the input_value's attribute of the same name has the value null. The default value's type must match the input value's type.
• Structural types (object and tuple types): Terraform will recursively visit all of the attributes or elements of the nested value and repeat the same defaults-merging logic one level deeper. The default value's type must be of the same kind as the input value's type, and a default value for an object type must only contain attribute names that appear in the input value's type.
• Collection types (list, map, and set types): Terraform will visit each of the collection elements in turn and apply defaults to them. In this case the default value is only a single value to be applied to all elements of the collection, so it must have a type compatible with the collection's element type rather than with the collection type itself.

The above rules may be easier to follow with an example. Consider the following Terraform configuration:

terraform {  # Optional attributes and the defaults function are  # both experimental, so we must opt in to the experiment.  experiments = [module_variable_optional_attrs]}variable "storage" {  type = object({    name    = string    enabled = optional(bool)    website = object({      index_document = optional(string)      error_document = optional(string)    })    documents = map(      object({        source_file  = string        content_type = optional(string)      })    )  })}locals {  storage = defaults(var.storage, {    # If "enabled" isn't set then it will default    # to true.    enabled = true    # The "website" attribute is required, but    # it's here to provide defaults for the    # optional attributes inside.    website = {      index_document = "index.html"      error_document = "error.html"    }    # The "documents" attribute has a map type,    # so the default value represents defaults    # to be applied to all of the elements in    # the map, not for the map itself. Therefore    # it's a single object matching the map    # element type, not a map itself.    documents = {      # If _any_ of the map elements omit      # content_type then this default will be      # used instead.      content_type = "application/octet-stream"    }  })}output "storage" {  value = local.storage}

To test this out, we can create a file terraform.tfvars to provide an example value for var.storage:

storage = {  name = "example"  website = {    error_document = "error.txt"  }  documents = {    "index.html" = {      source_file  = "index.html.tmpl"      content_type = "text/html"    }    "error.txt" = {      source_file  = "error.txt.tmpl"      content_type = "text/plain"    }    "terraform.exe" = {      source_file  = "terraform.exe"    }  }}

The above value conforms to the variable's type constraint because it only omits attributes that are declared as optional. Terraform will automatically populate those attributes with the value null before evaluating anything else, and then the defaults function in local.storage will substitute default values for each of them.

The result of this defaults call would therefore be the following object:

storage = {  "documents" = tomap({    "error.txt" = {      "content_type" = "text/plain"      "source_file"  = "error.txt.tmpl"    }    "index.html" = {      "content_type" = "text/html"      "source_file"  = "index.html.tmpl"    }    "terraform.exe" = {      "content_type" = "application/octet-stream"      "source_file"  = "terraform.exe"    }  })  "enabled" = true  "name" = "example"  "website" = {    "error_document" = "error.txt"    "index_document" = "index.html"  }}

Notice that enabled and website.index_document were both populated directly from the defaults. Notice also that the "terraform.exe" element of documents had its content_type attribute populated from the documents default, but the default value didn't need to predict that there would be an element key "terraform.exe" because the default values apply equally to all elements of the map where the optional attributes are null.

Using defaults elsewhere

The design of the defaults function depends on input values having well-specified type constraints, so it can reliably recognize the difference between similar types: maps vs. objects, lists vs. tuples. The type constraint causes Terraform to convert the caller's value to conform to the constraint and thus defaults can rely on the input to conform.

Elsewhere in the Terraform language it's typical to be less precise about types, for example using the object construction syntax { ... } to construct values that will be used as if they are maps. Because defaults uses the type information of input_value, an input_value that doesn't originate in an input variable will tend not to have an appropriate value type and will thus not be interpreted as expected by defaults.

We recommend using defaults only with fully-constrained input variable values in the first argument, so you can use the variable's type constraint to explicitly distinguish between collection and structural types.