This release is a pre-release and may not be stable for production use.
Amazon Aurora DSQL Construct Library
---
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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.
Amazon Aurora DSQL is a serverless, distributed relational database service optimized for transactional workloads. Aurora DSQL offers virtually unlimited scale and doesn't require you to manage infrastructure. The active-active highly available architecture provides 99.99% single-Region and 99.999% multi-Region availability.
The @aws-cdk/aws-dsql-alpha package contains primitives for setting up Aurora DSQL clusters.
import aws_cdk.aws_dsql_alpha as dsql
Creating an Aurora DSQL Cluster
To create an Aurora DSQL cluster, define a Cluster:
cluster = dsql.Cluster(self, "Cluster",
cluster_name="my-dsql-cluster",
deletion_protection=True
)
Granting Connect Access
You can grant IAM principals the ability to connect to the cluster:
role = iam.Role(self, "DBRole", assumed_by=iam.AccountPrincipal(self.account))
cluster = dsql.Cluster(self, "Cluster")
# Use one of the following statements to grant the role the necessary permissions
cluster.grant_connect(role) # Grant the role dsql:DbConnect
cluster.grant_connect_admin(role) # Grant the role dsql:DbConnectAdmin
cluster.grant(role, "dsql:DbConnect")
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