Metadata-Version: 2.1
Name: aws-cdk.aws-dynamodb
Version: 1.29.0
Summary: CDK Constructs for AWS DynamoDB
Home-page: https://github.com/aws/aws-cdk
Author: Amazon Web Services
License: Apache-2.0
Project-URL: Source, https://github.com/aws/aws-cdk.git
Description: ## Amazon DynamoDB Construct Library
        
        <!--BEGIN STABILITY BANNER-->---
        
        
        ![Stability: Stable](https://img.shields.io/badge/stability-Stable-success.svg?style=for-the-badge)
        
        ---
        <!--END STABILITY BANNER-->
        
        Here is a minimal deployable DynamoDB table definition:
        
        ```python
        # 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:
        
        ```python
        # 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.
        
        ```python
        # 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.
        
        ```python
        # 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
        
        Please see the `@aws-cdk/aws-dynamodb-global` package.
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: JavaScript
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Typing :: Typed
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved
Requires-Python: >=3.6
Description-Content-Type: text/markdown
