The CDK Construct Library for AWS::DocDB
Project description
Amazon DocumentDB Construct Library
---All classes with the
Cfn
prefix in this module (CFN Resources) are always stable and safe to use.
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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.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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