Skip to main content

The CDK Construct Library for AWS::Neptune

Project description

Amazon Neptune 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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.


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 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
)

Automatic minor version upgrades

By setting autoMinorVersionUpgrade to true, Neptune will automatically update the engine of the entire cluster to the latest minor version after a stabilization window of 2 to 3 weeks.

neptune.DatabaseCluster(self, "Cluster",
    vpc=vpc,
    instance_type=neptune.InstanceType.R5_LARGE,
    auto_minor_version_upgrade=True
)

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aws-cdk.aws-neptune-1.174.0.tar.gz (156.5 kB view hashes)

Uploaded source

Built Distribution

aws_cdk.aws_neptune-1.174.0-py3-none-any.whl (155.9 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page