aws-cdk.aws-dynamodb 1.36.0

CDK Constructs for AWS DynamoDB

Amazon DynamoDB Construct Library

---

---

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 without compilation. 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.