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Upgrading from v1 to v2

v2 of this plugin tries to keep backward compatibility with v1 from a CloudFormation perspective (i.e. Logical names are maintained). This pretends to make migration from v1 possible. However, the API has changed quite a bit.

This page will guide you through the process of migrating existing stacks to the newer version.

The v1 is still available on the v1 branch

Breaking changes and dropped features

There are a few breaking changes that you need to be aware of.

Support for Serverless Framework v3 only

v2 only supports the new Serverless Framework v3. You will need to upgrade to SF v3 first.

Single API only

Support for multiple APIs has been dropped in v2. There are several reasons for this:

  • It was an edge case: Most users would only have one API per Stack
  • It is probably bad practice: Different APIs should be considered different micro-services and be deployed separately.
  • It is not supported by the Serverless Framework for API Gateway: SF does not support multiple API Gateways in a single Stack. Why should this plugin do for AppSync?

If you only have one API in your current stack, you should not worry about this change. You do need to make sure that you do not define your appSync API as an array (even with one element only), though.

custom:
  appSync:
    name: my-api # ✅ Compatible with v2

  appSync:
    - name: my-api # ❌ Incompatible with v2

Workaround

Place your APIs into different stacks. Unfortunately, this WILL require the replacement of the APIs. You can probably use custom domains to workaround that, if that's an option.

Defaults to PIPELINE and JavaScript resolvers

The new default runtime is JavaScript.

The new default KIND for resolvers is PIPELINE. For several reasons:

  • The JavaScript runtime, is only supported with PIPELINE resolvers
  • It makes migrations easier later, if you need to add functions to your resolvers.

💡 To simulate a UNIT resolver, use a PIPELINE with only one function.

resolvers:
  Query.getPost:
    functions:
      - dataSource: posts
        code: resolvers/getPost.js

No more defaults for resolver handler paths.

In v1, if you did not specify a path to your mapping templates, a default based on the type, field or function name was used. (e.g. Query.getPost.request.vtl).

To avoid unexpected behaviours, you are now required to explicitly specify the path to your resolver handlers. i.e. use code for Pipeline JS resolvers or request/response for VTL.

There is also no more mappingTemplatesLocation option. Paths must be relative to the serverless.yml. This aligns more with how Serverless Framework handles Lambda function handlers' paths.

Graphql "playground"

The graphql-playground command which started a graphiql server pointing to the AppSync API has been removed.

Workaround

Use other solutions such as Insomnia, or Postman

Support for existing APIs

v1 offered a way to define some resource such as DataSources, Resolvers, etc. on an existing API (that was previously created using other mechanisms, for example manually). v2 does no longer offer that possibility. It adds complexity, can behave unexpectedly and is probably a bad practice too. Prefer defining your whole API under the same stack.

Workaround

Define your API completely in the same stack. This might require the replacement of the API. You can use custom domains to workaround that, if that's an option.

Output variables

v1 exported some values to the stack Output by default. This is no longer the case. Instead, prefer using the new exported variables.

Workaround

You still can export those values if you want but you'll have to do it explicitly yourself:

resources:
  Outputs:
    GraphQlApiUrl:
      Value: ${appsync:url}

Upgrade instructions

⚠️ This guide tries to give instructions as clear as possible on how to upgrade from v1 to v2. But, please note that there is no guarantee that everything will keep working as expected. Each case is unique and this guide might miss some subtilities that are applicable to you only. It is your responsibility to test your changes and check that they don't break your stack (e.g. in a dev/test environment).

📚 I also strongly advice that you get familiar with the new API first as most changes will probably be obvious and straight forward. Check the documentation for every feature you are using to see if and how they have changed.

💡 v2 now validates the configuration. If anything is wrong, you should get a warning. I recommend that you enable the service configuration validation in your serverless.yml and set it to error. Note that this does not guarantee to catch all the issues.

service: my-app

configValidationMode: error

🙋‍♂️ If you find information that is inaccurate or incomplete in this guide, please open a PR to fix it 🙏.

Path of the appSync configuration

The first significant change is that you must now define your API under the appSync attribute directly at the root of your serverless.yml file, as opposed to placing it under custom in v1.

Just move your configuration up one level.

Example:

custom:
  appSync:
    name: my-api

becomes

appSync:
  name: my-api

Renamed attributes

Some attributes have been renamed for clarity. Here are the most important ones.

  • rename mappingTemplates to resolvers
  • rename functionConfigurations to pipelineFunctions
  • rename logConfig to logging
  • rename wafConfig to waf

DataSources

DataSources are now defined as a key-value pair object. In v1, you passed them as an array. Replace the array with a key-value pair object where the key is what you used to have under name.

Example

dataSources:
  - type: AMAZON_DYNAMODB
      name: myDatasource
      config:
        tableName: my-table

becomes:

dataSources:
  myDatasource:
    type: AMAZON_DYNAMODB
    config:
      tableName: my-table

Resolvers

Resolvers are now defined as a key-value pair object. In v1 you passed them as an array. Replace the array with a key-value pair object. You can use any value as the key, or use the Type.field shortcut.

Also rename mappingTemplates to resolvers

Example:

mappingTemplates:
  - type: Query
    field: getUser
    dataSource: myDataSource

becomes

resolvers:
  Query.getUser:
    dataSource: myDataSource

Pipeline functions

Pipeline functions have moved from functionConfigurations to pipelineFunctions. Just like Resolvers and datasources, pipelineFunction expects a key-value pair object. Use the name of the function (name) as the key.

Example:

functionConfigurations:
  - name: myFunction
    dataSource: myDataSource

becomes

pipelineFunctions:
  myFunction:
    dataSource: myDataSource

Authentication

In v1 you would define the principal authentication provider directly under the appSync attribute. In v2 it has moved under authentication.

  • authenticationType becomes authentication.type
  • All the specific *Config attributes moved to authentication.config.

Example:

custom:
  appSync:
    authenticationType: AMAZON_COGNITO_USER_POOLS
    userPoolConfig:
      userPoolId: # user pool ID

becomes

appSync:
  authentication:
    type: AMAZON_COGNITO_USER_POOLS
    config:
      userPoolId: # user pool ID

Additional auth provider are now under additionalAuthentications. Items follow the same stucture as authentication.

Example:

additionalAuthenticationProviders:
  - authenticationType: AMAZON_COGNITO_USER_POOLS
    userPoolConfig:
      userPoolId: # user pool ID

becomes

additionalAuthentications:
  - type: AMAZON_COGNITO_USER_POOLS
    config:
      userPoolId: # user pool ID

Schema

If you split your schema into several files, you must use Object extensions on the types that have already been defined. This will often be the case for the Query, Mutation and Subscription types.

example:

# users.graphql
type Query {
  getUser(id: ID!): User
}
# users.graphql
type Query {
  getPost(id: ID!): Post
}

becomes

# base.graphql
## The Query type must be defined before being extended
type Query
# users.graphql
extend type Query {
  getUser(id: ID!): User
}
# users.graphql
extend type Query {
  getPost(id: ID!): Post
}

ElasticSearch

As of September 2021, Amazon Elasticsearch Service is Amazon OpenSearch Service. DataSources of type AMAZON_ELASTICSEARCH should now use AMAZON_OPENSEARCH_SERVICE instead.

Example:

dataSources:
  - type: AMAZON_ELASTICSEARCH
    name: myEndpoint
    config:
      endpoint: https://abcdefgh.us-east-1.es.amazonaws.com

becomes:

dataSources:
  myEndpoint:
    type: AMAZON_OPENSEARCH_SERVICE
    config:
      endpoint: https://abcdefgh.us-east-1.es.amazonaws.com