2020-10-31 01:19:32 +01:00
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---
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2021-11-23 00:47:36 +01:00
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page_title: defaults - Functions - Configuration Language
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description: The defaults function can fill in default values in place of null values.
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sidebar_title: defaults
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2020-10-31 01:19:32 +01:00
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---
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# `defaults` Function
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-> **Note:** This function is available only in Terraform 0.15 and later.
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~> **Experimental:** This function is part of
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[the optional attributes experiment](/language/expressions/type-constraints#experimental-optional-object-type-attributes)
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and is only available in modules where the `module_variable_optional_attrs`
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experiment is explicitly enabled.
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The `defaults` function is a specialized function intended for use with
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input variables whose type constraints are object types or collections of
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object types that include optional attributes.
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When you define an attribute as optional and the caller doesn't provide an
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explicit value for it, Terraform will set the attribute to `null` to represent
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that it was omitted. If you want to use a placeholder value other than `null`
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when an attribute isn't set, you can use the `defaults` function to concisely
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assign default values only where an attribute value was set to `null`.
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```
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defaults(input_value, defaults)
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```
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The `defaults` function expects that the `input_value` argument will be the
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value of an input variable with an exact [type constraint](/language/expressions/types)
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(not containing `any`). The function will then visit every attribute in
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the data structure, including attributes of nested objects, and apply the
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default values given in the defaults object.
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The interpretation of attributes in the `defaults` argument depends on what
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type an attribute has in the `input_value`:
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* **Primitive types** (`string`, `number`, `bool`): if a default value is given
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then it will be used only if the `input_value`'s attribute of the same
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name has the value `null`. The default value's type must match the input
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value's type.
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* **Structural types** (`object` and `tuple` types): Terraform will recursively
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visit all of the attributes or elements of the nested value and repeat the
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same defaults-merging logic one level deeper. The default value's type must
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be of the same kind as the input value's type, and a default value for an
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object type must only contain attribute names that appear in the input
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value's type.
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* **Collection types** (`list`, `map`, and `set` types): Terraform will visit
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each of the collection elements in turn and apply defaults to them. In this
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case the default value is only a single value to be applied to _all_ elements
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of the collection, so it must have a type compatible with the collection's
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element type rather than with the collection type itself.
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The above rules may be easier to follow with an example. Consider the following
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Terraform configuration:
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```hcl
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terraform {
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# Optional attributes and the defaults function are
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# both experimental, so we must opt in to the experiment.
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experiments = [module_variable_optional_attrs]
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}
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variable "storage" {
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type = object({
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name = string
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enabled = optional(bool)
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website = object({
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index_document = optional(string)
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error_document = optional(string)
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})
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documents = map(
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object({
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source_file = string
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content_type = optional(string)
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})
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)
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})
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}
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locals {
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storage = defaults(var.storage, {
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# If "enabled" isn't set then it will default
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# to true.
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enabled = true
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# The "website" attribute is required, but
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# it's here to provide defaults for the
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# optional attributes inside.
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website = {
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index_document = "index.html"
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error_document = "error.html"
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}
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# The "documents" attribute has a map type,
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# so the default value represents defaults
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# to be applied to all of the elements in
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# the map, not for the map itself. Therefore
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# it's a single object matching the map
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# element type, not a map itself.
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documents = {
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# If _any_ of the map elements omit
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# content_type then this default will be
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# used instead.
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content_type = "application/octet-stream"
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}
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})
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}
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output "storage" {
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value = local.storage
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}
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```
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To test this out, we can create a file `terraform.tfvars` to provide an example
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value for `var.storage`:
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```hcl
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storage = {
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name = "example"
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website = {
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error_document = "error.txt"
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}
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documents = {
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"index.html" = {
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source_file = "index.html.tmpl"
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content_type = "text/html"
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}
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"error.txt" = {
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source_file = "error.txt.tmpl"
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content_type = "text/plain"
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}
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"terraform.exe" = {
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source_file = "terraform.exe"
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}
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}
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}
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```
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The above value conforms to the variable's type constraint because it only
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omits attributes that are declared as optional. Terraform will automatically
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populate those attributes with the value `null` before evaluating anything
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else, and then the `defaults` function in `local.storage` will substitute
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default values for each of them.
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The result of this `defaults` call would therefore be the following object:
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```
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storage = {
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"documents" = tomap({
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"error.txt" = {
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"content_type" = "text/plain"
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"source_file" = "error.txt.tmpl"
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}
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"index.html" = {
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"content_type" = "text/html"
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"source_file" = "index.html.tmpl"
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}
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"terraform.exe" = {
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"content_type" = "application/octet-stream"
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"source_file" = "terraform.exe"
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}
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})
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"enabled" = true
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"name" = "example"
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"website" = {
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"error_document" = "error.txt"
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"index_document" = "index.html"
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}
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}
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```
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Notice that `enabled` and `website.index_document` were both populated directly
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from the defaults. Notice also that the `"terraform.exe"` element of
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`documents` had its `content_type` attribute populated from the `documents`
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default, but the default value didn't need to predict that there would be an
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element key `"terraform.exe"` because the default values apply equally to
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all elements of the map where the optional attributes are `null`.
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## Using `defaults` elsewhere
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The design of the `defaults` function depends on input values having
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well-specified type constraints, so it can reliably recognize the difference
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between similar types: maps vs. objects, lists vs. tuples. The type constraint
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causes Terraform to convert the caller's value to conform to the constraint
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and thus `defaults` can rely on the input to conform.
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Elsewhere in the Terraform language it's typical to be less precise about
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types, for example using the object construction syntax `{ ... }` to construct
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values that will be used as if they are maps. Because `defaults` uses the
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type information of `input_value`, an `input_value` that _doesn't_ originate
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in an input variable will tend not to have an appropriate value type and will
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thus not be interpreted as expected by `defaults`.
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We recommend using `defaults` only with fully-constrained input variable values
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in the first argument, so you can use the variable's type constraint to
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explicitly distinguish between collection and structural types.
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