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The CDK Construct Library for AWS::DocDB

Project description

Amazon DocumentDB Construct Library

---

cfn-resources: Stable

All classes with the Cfn prefix in this module (CFN Resources) are always stable and safe to use.

cdk-constructs: Experimental

The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.


Starting a Clustered Database

To set up a clustered DocumentDB database, define a DatabaseCluster. You must always launch a database in a VPC. Use the vpcSubnets attribute to control whether your instances will be launched privately or publicly:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
cluster = DatabaseCluster(self, "Database",
    master_user={
        "username": "admin"
    },
    instance_props={
        "instance_type": ec2.InstanceType.of(ec2.InstanceClass.R5, ec2.InstanceSize.LARGE),
        "vpc_subnets": {
            "subnet_type": ec2.SubnetType.PUBLIC
        },
        "vpc": vpc
    }
)

By default, the master password will be generated and stored in AWS Secrets Manager with auto-generated description.

Your cluster will be empty by default.

Connecting

To control who can access the cluster, use the .connections attribute. DocumentDB databases have a default port, so you don't need to specify the port:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
cluster.connections.allow_default_port_from_any_ipv4("Open to the world")

The endpoints to access your database cluster will be available as the .clusterEndpoint and .clusterReadEndpoint attributes:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
write_address = cluster.cluster_endpoint.socket_address

Rotating credentials

When the master password is generated and stored in AWS Secrets Manager, it can be rotated automatically:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
cluster.add_rotation_single_user()
# Example automatically generated. See https://github.com/aws/jsii/issues/826
cluster = docdb.DatabaseCluster(stack, "Database",
    master_user=Login(
        username="docdb"
    ),
    instance_props={
        "instance_type": ec2.InstanceType.of(ec2.InstanceClass.R5, ec2.InstanceSize.LARGE),
        "vpc": vpc
    },
    removal_policy=cdk.RemovalPolicy.DESTROY
)

cluster.add_rotation_single_user()

The multi user rotation scheme is also available:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
cluster.add_rotation_multi_user("MyUser",
    secret=my_imported_secret
)

It's also possible to create user credentials together with the cluster and add rotation:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
my_user_secret = docdb.DatabaseSecret(self, "MyUserSecret",
    username="myuser",
    master_secret=cluster.secret
)
my_user_secret_attached = my_user_secret.attach(cluster)# Adds DB connections information in the secret

cluster.add_rotation_multi_user("MyUser", # Add rotation using the multi user scheme
    secret=my_user_secret_attached)

Note: This user must be created manually in the database using the master credentials. The rotation will start as soon as this user exists.

See also @aws-cdk/aws-secretsmanager for credentials rotation of existing clusters.

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