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Provider Plugins
A provider in Terraform is responsible for the lifecycle of a resource:
create, read, update, delete. An example of a provider is AWS, which
can manage resources of type aws_instance
, aws_eip
, aws_elb
, etc.
The primary reasons to care about provider plugins are:
-
You want to add a new resource type to an existing provider.
-
You want to write a completely new provider for managing resource types in a system not yet supported.
-
You want to write a completely new provider for custom, internal systems such as a private inventory management system.
If you're interested in provider development, then read on. The remainder of this page will assume you're familiar with plugin basics and that you already have a basic development environment setup.
Low-Level Interface
The interface you must implement for providers is ResourceProvider.
This interface is extremely low level, however, and we don't recommend you implement it directly. Implementing the interface directly is error prone, complicated, and difficult.
Instead, we've developed some higher level libraries to help you out with developing providers. These are the same libraries we use in our own core providers.
helper/schema
The helper/schema
library is a framework we've built to make creating
providers extremely easy. This is the same library we use to build most
of the core providers.
To give you an idea of how productive you can become with this framework: we implemented the Google Cloud provider in about 6 hours of coding work. This isn't a simple provider, and we did have knowledge of the framework beforehand, but it goes to show how expressive the framework can be.
The GoDoc for helper/schema
can be
found here.
This is API-level documentation but will be extremely important
for you going forward.
Provider
The first thing to do in your plugin is to create the
schema.Provider structure.
This structure implements the ResourceProvider
interface. We
recommend creating this structure in a function to make testing easier
later. Example:
func Provider() *schema.Provider {
return &schema.Provider{
...
}
}
Within the schema.Provider
, you should initialize all the fields. They
are documented within the godoc, but a brief overview is here as well:
-
Schema
- This is the configuration schema for the provider itself. You should define any API keys, etc. here. Schemas are covered below. -
ResourcesMap
- The map of resources that this provider supports. All keys are resource names and the values are the schema.Resource structures implementing this resource. -
ConfigureFunc
- This function callback is used to configure the provider. This function should do things such as initialize any API clients, validate API keys, etc. Theinterface{}
return value of this function is themeta
parameter that will be passed into all resource CRUD functions. In general, the returned value is a configuration structure or a client.
As part of the unit tests, you should call InternalValidate
. This is used
to verify the structure of the provider and all of the resources, and reports
an error if it is invalid. An example test is shown below:
func TestProvider(t *testing.T) {
if err := Provider().InternalValidate(); err != nil {
t.Fatalf("err: %s", err)
}
}
Having this unit test will catch a lot of beginner mistakes as you build your provider.
Resources
Next, you'll want to create the resources that the provider can manage.
These resources are put into the ResourcesMap
field of the provider
structure. Again, we recommend creating functions to instantiate these.
An example is shown below.
func resourceComputeAddress() *schema.Resource {
return &schema.Resource {
...
}
}
Resources are described using the schema.Resource structure. This structure has the following fields:
-
Schema
- The configuration schema for this resource. Schemas are covered in more detail below. -
Create
,Read
,Update
, andDelete
- These are the callback functions that implement CRUD operations for the resource. The only optional field isUpdate
. If your resource doesn't support update, then you may keep that field nil.
The CRUD operations in more detail, along with their contracts:
-
Create
- This is called to create a new instance of the resource. Terraform guarantees that an existing ID is not set on the resource data. That is, you're working with a new resource. -
Read
- This is called to resync the local state with the remote state. Terraform guarantees that an existing ID will be set. This ID should be used to look up the resource. Any remote data should be updated into the local data. No changes to the remote resource are to be made. -
Update
- This is called to update properties of an existing resource. Terraform guarantees that an existing ID will be set. Additionally, the only changed attributes are guaranteed to be those that support update, as specified by the schema. Be careful to read about partial states below. -
Delete
- This is called to delete the resource. Terraform guarantees an existing ID will be set.
Schemas
Both providers and resources require a schema to be specified. The schema is used to define the structure of the configuration, the types, etc. It is very important to get correct.
In both provider and resource, the schema is a map[string]*schema.Schema
.
The key of this map is the configuration key, and the value is a schema for
the value of that key.
Schemas are incredibly powerful, so this documentation page won't attempt to cover the full power of them. Instead, the API docs should be referenced which cover all available settings.
We recommend viewing schemas of existing or similar providers to learn best practices. A good starting place is the core Terraform providers.
Resource Data
The parameter to provider configuration as well as all the CRUD operations on a resource is a schema.ResourceData. This structure is used to query configurations as well as to set information about the resource such as it's ID, connection information, and computed attributes.
The API documentation covers ResourceData well, as well as the core providers in Terraform.
Partial state deserves a special mention. Occasionally in Terraform, create or
update operations are not atomic; they can fail halfway through. As an example,
when creating an AWS security group, creating the group may succeed,
but creating all the initial rules may fail. In this case, it is incredibly
important that Terraform record the correct partial state so that a
subsequent terraform apply
fixes this resource.
Most of the time, partial state is not required. When it is, it must be specifically enabled. An example is shown below:
func resourceUpdate(d *schema.ResourceData, meta interface{}) error { // Enable partial state mode d.Partial(true) if d.HasChange("tags") { // If an error occurs, return with an error, // we didn't finish updating if err := updateTags(d, meta); err != nil { return err } d.SetPartial("tags") } if d.HasChange("name") { if err := updateName(d, meta); err != nil { return err } d.SetPartial("name") } // We succeeded, disable partial mode d.Partial(false) return nil }
In the example above, it is possible that setting the tags
succeeds,
but setting the name
fails. In this scenario, we want to make sure
that only the state of the tags
is updated. To do this the
Partial
and SetPartial
functions are used.
Partial
toggles partial-state mode. When disabled, all changes are merged
into the state upon result of the operation. When enabled, only changes
enabled with SetPartial
are merged in.
SetPartial
tells Terraform what state changes to adopt upon completion
of an operation. You should call SetPartial
with every key that is safe
to merge into the state. The parameter to SetPartial
is a prefix, so
if you have a nested structure and want to accept the whole thing,
you can just specify the prefix.