The CDK Construct Library for AWS::Neptune
Project description
Amazon Neptune 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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.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 Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Neptune is a purpose-built, high-performance graph database engine. This engine is optimized for storing billions of relationships and querying the graph with milliseconds latency. Neptune supports the popular graph query languages Apache TinkerPop Gremlin and W3C’s SPARQL, enabling you to build queries that efficiently navigate highly connected datasets.
The @aws-cdk/aws-neptune
package contains primitives for setting up Neptune database clusters and instances.
import aws_cdk.aws_neptune_alpha as neptune
Starting a Neptune Database
To set up a Neptune database, define a DatabaseCluster
. You must always launch a database in a VPC.
cluster = neptune.DatabaseCluster(self, "Database",
vpc=vpc,
instance_type=neptune.InstanceType.R5_LARGE
)
By default only writer instance is provisioned with this construct.
Connecting
To control who can access the cluster, use the .connections
attribute. Neptune databases have a default port, so
you don't need to specify the port:
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:
write_address = cluster.cluster_endpoint.socket_address
IAM Authentication
You can also authenticate to a database cluster using AWS Identity and Access Management (IAM) database authentication; See https://docs.aws.amazon.com/neptune/latest/userguide/iam-auth.html for more information and a list of supported versions and limitations.
The following example shows enabling IAM authentication for a database cluster and granting connection access to an IAM role.
cluster = neptune.DatabaseCluster(self, "Cluster",
vpc=vpc,
instance_type=neptune.InstanceType.R5_LARGE,
iam_authentication=True
)
role = iam.Role(self, "DBRole", assumed_by=iam.AccountPrincipal(self.account))
cluster.grant_connect(role)
Customizing parameters
Neptune allows configuring database behavior by supplying custom parameter groups. For more details, refer to the following link: https://docs.aws.amazon.com/neptune/latest/userguide/parameters.html
cluster_params = neptune.ClusterParameterGroup(self, "ClusterParams",
description="Cluster parameter group",
parameters={
"neptune_enable_audit_log": "1"
}
)
db_params = neptune.ParameterGroup(self, "DbParams",
description="Db parameter group",
parameters={
"neptune_query_timeout": "120000"
}
)
cluster = neptune.DatabaseCluster(self, "Database",
vpc=vpc,
instance_type=neptune.InstanceType.R5_LARGE,
cluster_parameter_group=cluster_params,
parameter_group=db_params
)
Adding replicas
DatabaseCluster
allows launching replicas along with the writer instance. This can be specified using the instanceCount
attribute.
cluster = neptune.DatabaseCluster(self, "Database",
vpc=vpc,
instance_type=neptune.InstanceType.R5_LARGE,
instances=2
)
Additionally it is also possible to add replicas using DatabaseInstance
for an existing cluster.
replica1 = neptune.DatabaseInstance(self, "Instance",
cluster=cluster,
instance_type=neptune.InstanceType.R5_LARGE
)
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