Skip to main content

CDK Constructs for AWS RDS

Project description

Amazon Relational Database Service Construct Library

---

Stability: Experimental

This is a developer preview (public beta) module. Releases might lack important features and might have future breaking changes.

This API is still under active development and subject to non-backward compatible changes or removal in any future version. Use of the API is not recommended in production environments. Experimental APIs are not subject to the Semantic Versioning model.


Starting a Clustered Database

To set up a clustered database (like Aurora), 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. See https://github.com/aws/jsii/issues/826
cluster = DatabaseCluster(self, "Database",
    engine=DatabaseClusterEngine.AURORA,
    master_user={
        "username": "admin"
    },
    instance_props={
        "instance_type": ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.SMALL),
        "vpc_subnets": {
            "subnet_type": ec2.SubnetType.PUBLIC
        },
        "vpc": vpc
    }
)

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

Your cluster will be empty by default. To add a default database upon construction, specify the defaultDatabaseName attribute.

Starting an Instance Database

To set up a instance database, define a DatabaseInstance. 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. See https://github.com/aws/jsii/issues/826
instance = DatabaseInstance(stack, "Instance",
    engine=rds.DatabaseInstanceEngine.ORACLE_SE1,
    instance_class=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.SMALL),
    master_username="syscdk",
    vpc=vpc
)

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

Use DatabaseInstanceFromSnapshot and DatabaseInstanceReadReplica to create an instance from snapshot or a source database respectively:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
DatabaseInstanceFromSnapshot(stack, "Instance",
    snapshot_identifier="my-snapshot",
    engine=rds.DatabaseInstanceEngine.POSTGRES,
    instance_class=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.LARGE),
    vpc=vpc
)

DatabaseInstanceReadReplica(stack, "ReadReplica",
    source_database_instance=source_instance,
    engine=rds.DatabaseInstanceEngine.POSTGRES,
    instance_class=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.LARGE),
    vpc=vpc
)

Creating a "production" Oracle database instance with option and parameter groups:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
# Set open cursors with parameter group
parameter_group = rds.ParameterGroup(self, "ParameterGroup",
    family="oracle-se1-11.2",
    parameters={
        "open_cursors": "2500"
    }
)

option_group = rds.OptionGroup(self, "OptionGroup",
    engine=rds.DatabaseInstanceEngine.ORACLE_SE1,
    major_engine_version="11.2",
    configurations=[OptionConfiguration(
        name="XMLDB"
    ), OptionConfiguration(
        name="OEM",
        port=1158,
        vpc=vpc
    )
    ]
)

# Allow connections to OEM
option_group.option_connections.OEM.connections.allow_default_port_from_any_ipv4()

# Database instance with production values
instance = rds.DatabaseInstance(self, "Instance",
    engine=rds.DatabaseInstanceEngine.ORACLE_SE1,
    license_model=rds.LicenseModel.BRING_YOUR_OWN_LICENSE,
    instance_class=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.MEDIUM),
    multi_az=True,
    storage_type=rds.StorageType.IO1,
    master_username="syscdk",
    vpc=vpc,
    database_name="ORCL",
    storage_encrypted=True,
    backup_retention=cdk.Duration.days(7),
    monitoring_interval=cdk.Duration.seconds(60),
    enable_performance_insights=True,
    cloudwatch_logs_exports=["trace", "audit", "alert", "listener"
    ],
    cloudwatch_logs_retention=logs.RetentionDays.ONE_MONTH,
    auto_minor_version_upgrade=False,
    option_group=option_group,
    parameter_group=parameter_group
)

# Allow connections on default port from any IPV4
instance.connections.allow_default_port_from_any_ipv4()

# Rotate the master user password every 30 days
instance.add_rotation_single_user("Rotation")

# Add alarm for high CPU
cloudwatch.Alarm(self, "HighCPU",
    metric=instance.metric_cPUUtilization(),
    threshold=90,
    evaluation_periods=1
)

# Trigger Lambda function on instance availability events
fn = lambda.Function(self, "Function",
    code=lambda.Code.from_inline("exports.handler = (event) => console.log(event);"),
    handler="index.handler",
    runtime=lambda.Runtime.NODEJS_10_X
)

availability_rule = instance.on_event("Availability", target=targets.LambdaFunction(fn))
availability_rule.add_event_pattern(
    detail={
        "EventCategories": ["availability"
        ]
    }
)

Add XMLDB and OEM with option group

# Example automatically generated. See https://github.com/aws/jsii/issues/826
# Set open cursors with parameter group
parameter_group = rds.ParameterGroup(self, "ParameterGroup",
    family="oracle-se1-11.2",
    parameters={
        "open_cursors": "2500"
    }
)

option_group = rds.OptionGroup(self, "OptionGroup",
    engine=rds.DatabaseInstanceEngine.ORACLE_SE1,
    major_engine_version="11.2",
    configurations=[OptionConfiguration(
        name="XMLDB"
    ), OptionConfiguration(
        name="OEM",
        port=1158,
        vpc=vpc
    )
    ]
)

# Allow connections to OEM
option_group.option_connections.OEM.connections.allow_default_port_from_any_ipv4()

# Database instance with production values
instance = rds.DatabaseInstance(self, "Instance",
    engine=rds.DatabaseInstanceEngine.ORACLE_SE1,
    license_model=rds.LicenseModel.BRING_YOUR_OWN_LICENSE,
    instance_class=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.MEDIUM),
    multi_az=True,
    storage_type=rds.StorageType.IO1,
    master_username="syscdk",
    vpc=vpc,
    database_name="ORCL",
    storage_encrypted=True,
    backup_retention=cdk.Duration.days(7),
    monitoring_interval=cdk.Duration.seconds(60),
    enable_performance_insights=True,
    cloudwatch_logs_exports=["trace", "audit", "alert", "listener"
    ],
    cloudwatch_logs_retention=logs.RetentionDays.ONE_MONTH,
    auto_minor_version_upgrade=False,
    option_group=option_group,
    parameter_group=parameter_group
)

# Allow connections on default port from any IPV4
instance.connections.allow_default_port_from_any_ipv4()

# Rotate the master user password every 30 days
instance.add_rotation_single_user("Rotation")

# Add alarm for high CPU
cloudwatch.Alarm(self, "HighCPU",
    metric=instance.metric_cPUUtilization(),
    threshold=90,
    evaluation_periods=1
)

# Trigger Lambda function on instance availability events
fn = lambda.Function(self, "Function",
    code=lambda.Code.from_inline("exports.handler = (event) => console.log(event);"),
    handler="index.handler",
    runtime=lambda.Runtime.NODEJS_10_X
)

availability_rule = instance.on_event("Availability", target=targets.LambdaFunction(fn))
availability_rule.add_event_pattern(
    detail={
        "EventCategories": ["availability"
        ]
    }
)

Instance events

To define Amazon CloudWatch event rules for database instances, use the onEvent method:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
rule = instance.on_event("InstanceEvent", target=targets.LambdaFunction(fn))

Connecting

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

# Example automatically generated. See https://github.com/aws/jsii/issues/826
cluster.connections.allow_from_any_ipv4("Open to the world")

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

# Example automatically generated. See https://github.com/aws/jsii/issues/826
write_address = cluster.cluster_endpoint.socket_address

For an instance database:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
address = instance.instance_endpoint.socket_address

Rotating master password

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

# Example automatically generated. See https://github.com/aws/jsii/issues/826
cluster = rds.DatabaseCluster(stack, "Database",
    engine=rds.DatabaseClusterEngine.AURORA,
    master_user=Login(
        username="admin"
    ),
    instance_props={
        "instance_type": ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.SMALL),
        "vpc": vpc
    }
)

cluster.add_rotation_single_user("Rotation")

Rotation of the master password is also supported for an existing cluster:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
SecretRotation(stack, "Rotation",
    secret=imported_secret,
    application=SecretRotationApplication.ORACLE_ROTATION_SINGLE_USER,
    target=imported_cluster, # or importedInstance
    vpc=imported_vpc
)

The importedSecret must be a JSON string with the following format:

{
  "engine": "<required: database engine>",
  "host": "<required: instance host name>",
  "username": "<required: username>",
  "password": "<required: password>",
  "dbname": "<optional: database name>",
  "port": "<optional: if not specified, default port will be used>"
}

Metrics

Database instances expose metrics (cloudwatch.Metric):

# Example automatically generated. See https://github.com/aws/jsii/issues/826
# The number of database connections in use (average over 5 minutes)
db_connections = instance.metric_database_connections()

# The average amount of time taken per disk I/O operation (average over 1 minute)
read_latency = instance.metric("ReadLatency", statistic="Average", period_sec=60)

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-rds-1.17.1.tar.gz (225.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aws_cdk.aws_rds-1.17.1-py3-none-any.whl (223.2 kB view details)

Uploaded Python 3

File details

Details for the file aws-cdk.aws-rds-1.17.1.tar.gz.

File metadata

  • Download URL: aws-cdk.aws-rds-1.17.1.tar.gz
  • Upload date:
  • Size: 225.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.6.5

File hashes

Hashes for aws-cdk.aws-rds-1.17.1.tar.gz
Algorithm Hash digest
SHA256 81b301d2ec9785218c88375eddc71f28e03b399ec24a73ff03a8db01fab436bf
MD5 998d5d891b2676b1da2bd29afbb59f6d
BLAKE2b-256 f7e4ec39352d04848229a9e7aca5563d0993ef36af75de159032c0aaea7b220e

See more details on using hashes here.

File details

Details for the file aws_cdk.aws_rds-1.17.1-py3-none-any.whl.

File metadata

  • Download URL: aws_cdk.aws_rds-1.17.1-py3-none-any.whl
  • Upload date:
  • Size: 223.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.6.5

File hashes

Hashes for aws_cdk.aws_rds-1.17.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a61f3ee46464532eb4985054ae02df15260ec9ed9c0e97613d46fbb8ce5cff0c
MD5 4c4c534fe4376bd886c397581340257f
BLAKE2b-256 e63cd610f884b67536f6280cbb8175c93d84b910f10562d3cf905dbff955422c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page