Skip to main content

The CDK Construct Library for AWS::DynamoDB

Project description

Amazon DynamoDB Construct Library

---

cfn-resources: Stable

cdk-constructs: Stable


Here is a minimal deployable DynamoDB table definition:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_dynamodb as dynamodb

table = dynamodb.Table(self, "Table",
    partition_key=Attribute(name="id", type=dynamodb.AttributeType.STRING)
)

Importing existing tables

To import an existing table into your CDK application, use the Table.fromTableName, Table.fromTableArn or Table.fromTableAttributes factory method. This method accepts table name or table ARN which describes the properties of an already existing table:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
table = Table.from_table_arn(self, "ImportedTable", "arn:aws:dynamodb:us-east-1:111111111:table/my-table")
# now you can just call methods on the table
table.grant_read_write_data(user)

If you intend to use the tableStreamArn (including indirectly, for example by creating an @aws-cdk/aws-lambda-event-source.DynamoEventSource on the imported table), you must use the Table.fromTableAttributes method and the tableStreamArn property must be populated.

Keys

When a table is defined, you must define it's schema using the partitionKey (required) and sortKey (optional) properties.

Billing Mode

DynamoDB supports two billing modes:

  • PROVISIONED - the default mode where the table and global secondary indexes have configured read and write capacity.
  • PAY_PER_REQUEST - on-demand pricing and scaling. You only pay for what you use and there is no read and write capacity for the table or its global secondary indexes.
# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_dynamodb as dynamodb

table = dynamodb.Table(self, "Table",
    partition_key=Attribute(name="id", type=dynamodb.AttributeType.STRING),
    billing_mode=dynamodb.BillingMode.PAY_PER_REQUEST
)

Further reading: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadWriteCapacityMode.

Configure AutoScaling for your table

You can have DynamoDB automatically raise and lower the read and write capacities of your table by setting up autoscaling. You can use this to either keep your tables at a desired utilization level, or by scaling up and down at preconfigured times of the day:

Auto-scaling is only relevant for tables with the billing mode, PROVISIONED.

# Example automatically generated. See https://github.com/aws/jsii/issues/826
read_scaling = table.auto_scale_read_capacity(min_capacity=1, max_capacity=50)

read_scaling.scale_on_utilization(
    target_utilization_percent=50
)

read_scaling.scale_on_schedule("ScaleUpInTheMorning",
    schedule=appscaling.Schedule.cron(hour="8", minute="0"),
    min_capacity=20
)

read_scaling.scale_on_schedule("ScaleDownAtNight",
    schedule=appscaling.Schedule.cron(hour="20", minute="0"),
    max_capacity=20
)

Further reading: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html https://aws.amazon.com/blogs/database/how-to-use-aws-cloudformation-to-configure-auto-scaling-for-amazon-dynamodb-tables-and-indexes/

Amazon DynamoDB Global Tables

You can create DynamoDB Global Tables by setting the replicationRegions property on a Table:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_dynamodb as dynamodb

global_table = dynamodb.Table(self, "Table",
    partition_key=Attribute(name="id", type=dynamodb.AttributeType.STRING),
    replication_regions=["us-east-1", "us-east-2", "us-west-2"]
)

When doing so, a CloudFormation Custom Resource will be added to the stack in order to create the replica tables in the selected regions.

The default billing mode for Global Tables is PAY_PER_REQUEST. If you want to use PROVISIONED, you have to make sure write auto-scaling is enabled for that Table:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
global_table = dynamodb.Table(self, "Table",
    partition_key={"name": "id", "type": dynamodb.AttributeType.STRING},
    replication_regions=["us-east-1", "us-east-2", "us-west-2"],
    billing_mode=BillingMode.PROVISIONED
)

global_table.auto_scale_write_capacity(
    min_capacity=1,
    max_capacity=10
).scale_on_utilization(target_utilization_percent=75)

Encryption

All user data stored in Amazon DynamoDB is fully encrypted at rest. When creating a new table, you can choose to encrypt using the following customer master keys (CMK) to encrypt your table:

  • AWS owned CMK - By default, all tables are encrypted under an AWS owned customer master key (CMK) in the DynamoDB service account (no additional charges apply).
  • AWS managed CMK - AWS KMS keys (one per region) are created in your account, managed, and used on your behalf by AWS DynamoDB (AWS KMS chages apply).
  • Customer managed CMK - You have full control over the KMS key used to encrypt the DynamoDB Table (AWS KMS charges apply).

Creating a Table encrypted with a customer managed CMK:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_dynamodb as dynamodb

table = dynamodb.Table(stack, "MyTable",
    partition_key=Attribute(name="id", type=dynamodb.AttributeType.STRING),
    encryption=TableEncryption.CUSTOMER_MANAGED
)

# You can access the CMK that was added to the stack on your behalf by the Table construct via:
table_encryption_key = table.encryption_key

You can also supply your own key:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_dynamodb as dynamodb
import aws_cdk.aws_kms as kms

encryption_key = kms.Key(stack, "Key",
    enable_key_rotation=True
)
table = dynamodb.Table(stack, "MyTable",
    partition_key=Attribute(name="id", type=dynamodb.AttributeType.STRING),
    encryption=TableEncryption.CUSTOMER_MANAGED,
    encryption_key=encryption_key
)

In order to use the AWS managed CMK instead, change the code to:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_dynamodb as dynamodb

table = dynamodb.Table(stack, "MyTable",
    partition_key=Attribute(name="id", type=dynamodb.AttributeType.STRING),
    encryption=TableEncryption.AWS_MANAGED
)

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-dynamodb-1.86.0.tar.gz (119.0 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_dynamodb-1.86.0-py3-none-any.whl (117.0 kB view details)

Uploaded Python 3

File details

Details for the file aws-cdk.aws-dynamodb-1.86.0.tar.gz.

File metadata

  • Download URL: aws-cdk.aws-dynamodb-1.86.0.tar.gz
  • Upload date:
  • Size: 119.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.5

File hashes

Hashes for aws-cdk.aws-dynamodb-1.86.0.tar.gz
Algorithm Hash digest
SHA256 ac69caa454e5e11958f1f7e4251397e3bd929b6883ed02f8e7e5224066468a73
MD5 ff222f1e1e2ee06c65276559185a7dc1
BLAKE2b-256 fe0a66ebc25b987730456b8eda2587ef043dc0014c8bc603052008c48d31cc53

See more details on using hashes here.

File details

Details for the file aws_cdk.aws_dynamodb-1.86.0-py3-none-any.whl.

File metadata

  • Download URL: aws_cdk.aws_dynamodb-1.86.0-py3-none-any.whl
  • Upload date:
  • Size: 117.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.5

File hashes

Hashes for aws_cdk.aws_dynamodb-1.86.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d599058bb2a87bc5ae79ae5d0f83283d562fe7a9c0f5518e910a2bcdecabec9b
MD5 0dd4ea0487c46f08b508c6cb8494e743
BLAKE2b-256 d9dcab9fcd564b837438c41e25b5340fdc88608a04fdbf50b56eb54bbaa00089

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