Developing custom integrations in API Gateway
- Getting started
- Configure the environment
- Download a project with integration
- Compile a function
- Upload the file of the function to the bucket
- Prepare a resource configuration for the integration
- Deploy resources for the integration.
- Check the performance of the created CRUD API
- How to delete the resources you created
Using serverless technology, you can create your own integration with Yandex Cloud services.
User integration is a Yandex Cloud Functions function or Yandex Serverless Containers container designed to perform common tasks.
The function or container can be configured in the API Gateway API gateway specifications supporting OpenAPI 3.0
Develop Yandex Managed Service for YDB integration function for the YDB DBMS. The function interacts with Managed Service for YDB and processes external HTTP requests via the API gateway using the Amazon DynamoDB
The integration will be applied to implement the CRUD
To deploy a project:
- Configure the environment.
- Download a project with integration.
- Compile a function.
- Upload the file of the function to the bucket.
- Prepare a resource configuration for the integration.
- Deploy resources for the integration.
- Check the performance of the CRUD API.
If you no longer need the resources you created, delete them.
Getting started
Sign up for Yandex Cloud and create a billing account:
- Go to the management console
and log in to Yandex Cloud or create an account if you do not have one yet. - On the Yandex Cloud Billing
page, make sure you have a billing account linked and it has theACTIVE
orTRIAL_ACTIVE
status. If you do not have a billing account, create one.
If you have an active billing account, you can go to the cloud page
Learn more about clouds and folders.
Required paid resources
The cost of resources for the integration includes:
- Fee for the occupied data storage volume, number of operations with data, and outgoing traffic (see Yandex Object Storage pricing).
- Fee for YDB operations and data storage (see Managed Service for YDB pricing for serverless mode).
- Fee for the number of function calls, computing resources allocated to a function, and outgoing traffic (see Cloud Functions pricing).
- Fee for the number of requests to the API gateway and outgoing traffic (see API Gateway pricing).
Configure the environment
- Install the WSL
utility to run a Linux environment. - Run the Linux subsystem (by default, Ubuntu).
- Configure the environment as described in the Linux manual.
Note
If you use a distribution other than Ubuntu, install the specified utilities using your package manager commands.
-
Install the following utilities in the specified order using commands in the terminal:
-
sudo apt-get install curl git -y
-
WebStorm
or any other development environment that supports TypeScript :sudo snap install webstorm --classic
-
Node.js
16.9.1
or higher:curl -sL https://deb.nodesource.com/setup_16.x | sudo -E bash sudo apt-get install nodejs node -v npm -v
-
sudo npm install -g typescript
-
curl https://storage.yandexcloud.net/yandexcloud-yc/install.sh | bash exec -l $SHELL yc version
-
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" unzip awscliv2.zip sudo ./aws/install
-
-
Install Terraform
1.0.8
or higher. -
Create a Yandex Cloud CLI profile with basic parameters.
-
Set up the AWS CLI.
-
Install the following utilities in the specified order using commands in the terminal:
-
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
-
brew install curl git
-
WebStorm
or any other development environment that supports TypeScript :brew install --cask webstorm
-
Node.js
16.9.1
or higher:brew install node node -v npm -v
-
npm install -g typescript
-
curl https://storage.yandexcloud.net/yandexcloud-yc/install.sh | bash exec -l $SHELL yc version
-
curl "https://awscli.amazonaws.com/AWSCLIV2.pkg" -o "AWSCLIV2.pkg" sudo installer -pkg AWSCLIV2.pkg -target /
-
-
Install Terraform
1.0.8
or higher. -
Create a profile with basic parameters.
-
Set up the AWS CLI.
Download a project with integration
Clone the integration project repository:
git clone https://github.com/yandex-cloud-examples/yc-serverless-apigw-dynamodb-connector.git
The src
folder contains source files for creating the function:
- event.ts
: TheEvent
code describing the request structure andRequestContext
code describing the request context. - dynamodb.ts
: The code to process calls of a function and main commands. - iam.ts
: The code to retrieve IAM tokens for authorization when executing requests to the YDB.
When a function is called, the operation context is passed in the file dynamodb.tsrequestContext.apiGateway.operationContext
field of the event
object.
The operation context is defined in the context
parameter in the specifications of the API gateway calling the integration function.
Note
When integrating using the container, the operation context is defined via the header X-Yc-ApiGateway-Operation-Context
.
The file event.ts
Compile a function
-
Open the terminal and go to the project root folder:
cd <path_to_project_root_folder>
-
Set the dependencies required for the project:
npm ci
-
Compile and build the function code:
npm run build
-
Add the built function code to a ZIP archive:
npm run package
Upload the file of the function to the bucket
- Create a bucket with public access. Save the bucket name. You will need it later.
- Upload the ZIP archive
apigw-dynamodb-connector-0.0.1.zip
with the function code from thebuild
folder to the bucket.
Prepare a resource configuration for the integration
To deploy the CRUD API using the integration function, you'll need the Terraform
A special Terraform module
- Serverless YDB database.
- Integration function.
- Service account for the function to access the database.
- API gateway.
To prepare configuration files for Terraform:
-
Find out the name of the
ACTIVE
profile of the Yandex Cloud CLI command line interface. In the terminal, run this command:yc config profile list
-
Get the active profile parameters:
yc config profile get <profile_name>
Save the parameters:
token
: OAuth token.cloud-id
: Cloud ID.folder-id
: Folder ID.
-
Create the
crud-api
folder and open it:mkdir crud-api cd crud-api
Run all subsequent Terraform commands in the
crud-api
folder. -
Create the
main.tf
file and copy the Terraformmodule configuration there. Set the parameters of the resources to be created:cloud_id
: Cloud ID.folder_id
: Folder ID.oauth_token
: OAuth token.database_connector_bucket
: Name of the bucket with the integration function.
locals { cloud_id = "<cloud_ID>" folder_id = "<folder_ID>" oauth_token = "<OAuth token>" zone = "ru-central1-a" } module "crud-api" { source = "https://github.com/yandex-cloud-examples/yc-serverless-ydb-api" folder_id = local.folder_id api_name = "movies-api" database_name = "movies-db" service_account_name = "movies-api-service-account" region = "region-id" openapi_spec = "api.yaml" table_specs = ["file://table.json"] database_connector_bucket = "<name_of_bucket_with_integration_function>" database_connector_object = "apigw-dynamodb-connector-0.0.1.zip" } terraform { required_providers { yandex = { source = "yandex-cloud/yandex" } null = { source = "registry.terraform.io/hashicorp/null" } } required_version = ">= 0.13" } provider "yandex" { token = local.oauth_token cloud_id = local.cloud_id folder_id = local.folder_id zone = local.zone } output "crud_api_domain" { value = module.crud-api.api_gateway_domain }
-
Create
table.json
file and copy to it the specification of the table schema created by YDB:{ "TableName": "movie", "KeySchema": [ { "AttributeName": "id", "KeyType": "HASH" } ], "AttributeDefinitions": [ { "AttributeName": "id", "AttributeType": "S" }, { "AttributeName": "title", "AttributeType": "S" }, { "AttributeName": "year", "AttributeType": "N" } ] }
-
Create a
api.yaml
file and copy the OpenAPI specifications of the API gateway to be created to it:openapi: "3.0.0" info: version: 1.0.0 title: Movies API x-yc-apigateway: service_account_id: ${SERVICE_ACCOUNT_ID} paths: /movies: post: description: Create movie operationId: createMovie requestBody: description: Movie to create required: true content: application/json: schema: $ref: '#/components/schemas/Movie' responses: '200': description: Created or updated movie content: application/json: schema: $ref: '#/components/schemas/Movie' default: description: error content: application/json: schema: $ref: '#/components/schemas/Error' x-yc-apigateway-integration: type: cloud_functions function_id: ${FUNCTION_ID} context: command: PutItem endpoint: ${DATABASE_ENDPOINT} tableName: movie get: description: Get movies operationId: getMovies parameters: - name: from in: query description: Identifier from which will be queried movies in ascending order required: true schema: type: string - name: limit in: query description: Maximum number of movies in response required: false schema: type: number default: 10 responses: '200': description: Movies content: application/json: schema: type: array items: $ref: '#/components/schemas/Movie' default: description: error content: application/json: schema: $ref: '#/components/schemas/Error' x-yc-apigateway-integration: type: cloud_functions function_id: ${FUNCTION_ID} context: command: Scan endpoint: ${DATABASE_ENDPOINT} tableName: movie limit: '{limit}' exclusiveStartKey: '{"id": "{from}"}' /movies/{movieId}: parameters: - name: movieId in: path description: Identifier of movie required: true schema: type: string get: description: Get movie by id operationId: getMovieById responses: '200': description: Movie content: application/json: schema: $ref: '#/components/schemas/Movie' default: description: error content: application/json: schema: $ref: '#/components/schemas/Error' x-yc-apigateway-integration: type: cloud_functions function_id: ${FUNCTION_ID} context: command: GetItem endpoint: ${DATABASE_ENDPOINT} tableName: movie key: '{"id": "{movieId}"}' put: description: Update movie by id operationId: updateMovieById requestBody: description: Movie or attributes to update required: true content: application/json: schema: $ref: '#/components/schemas/Movie' responses: '200': description: Updated movie content: application/json: schema: $ref: '#/components/schemas/Movie' default: description: error content: application/json: schema: $ref: '#/components/schemas/Error' x-yc-apigateway-integration: type: cloud_functions function_id: ${FUNCTION_ID} context: command: UpdateItem endpoint: ${DATABASE_ENDPOINT} tableName: movie key: '{"id": "{movieId}"}' delete: description: Delete movie by id operationId: deleteMovieById responses: '200': description: Deleted movie content: application/json: schema: $ref: '#/components/schemas/Movie' default: description: error content: application/json: schema: $ref: '#/components/schemas/Error' x-yc-apigateway-integration: type: cloud_functions function_id: ${FUNCTION_ID} context: command: DeleteItem endpoint: ${DATABASE_ENDPOINT} tableName: movie key: '{"id": "{movieId}"}' components: schemas: Movie: type: object required: - id - title - year properties: id: type: string title: type: string year: type: integer Error: type: object required: - message properties: message: type: string
Deploy resources for the integration.
-
Initiate Terraform. In the terminal, run this command:
terraform init
-
Deploy cloud resources:
terraform apply
-
Confirm resource creation: type
yes
in the terminal and press Enter.In the command result, the
crud_api_domain
variable shows the domain address of the created CRUD API. Save the address. You will need it later.You can use the management console
to check the created resources.
Check the performance of the created CRUD API
To check the performance of the created CRUD API, run the following HTTP requests:
-
Add movie details. In the terminal, run this command:
curl \ --location \ --request POST 'https://<CRUD_API_domain_address>/movies' \ --header 'Content-Type: application/json' \ --data-raw '{ "id": "301", "title": "The Matrix", "year": 1999 }'
-
Retrieve movie details:
curl \ --location \ --request GET 'https://<CRUD_API_domain_address>/movies/301'
-
Change movie details:
curl \ --location \ --request PUT 'https://<CRUD_API_domain_address>/movies/301' \ --header 'Content-Type: application/json' \ --data-raw '{ "title": "The Matrix" }'
-
Add details of another movie:
curl \ --location \ --request POST 'https://<CRUD_API_domain_address>/movies' \ --header 'Content-Type: application/json' \ --data-raw '{ "id": "299", "title": "The Matrix Reloaded", "year": 2003 }'
-
Retrieve a movie list:
curl \ --location \ --request GET 'https://<CRUD_API_domain_address>/movies?from=1&limit=5'
-
Delete details of a movie:
curl \ --location \ --request DELETE 'https://<CRUD_API_domain_address>/movies/301' \ --data-raw ''
How to delete the resources you created
To stop paying for the resources you created:
-
Delete the resources created with Terraform. In the terminal, run this command:
terraform destroy
Confirm the resource deletion: type
yes
in the terminal and press Enter. -
Delete the bucket with the function file.