Scenarios for DynamoDB using Amazon SDKs

The following code examples show you how to implement common scenarios in DynamoDB with Amazon SDKs. These scenarios show you how to accomplish specific tasks by calling multiple functions within DynamoDB or combined with other Amazon Web Services services. Each scenario includes a link to the complete source code, where you can find instructions on how to set up and run the code.

Scenarios target an intermediate level of experience to help you understand service actions in context.

Examples

Accelerate reads with DAX
Advanced Global Secondary Index scenarios
Build an app to submit data to a DynamoDB table
Compare multiple values with a single attribute
Conditionally update an item's TTL
Connect to a local instance
Count expression operators
Create a REST API to track COVID-19 data
Create a messenger application
Create a serverless application to manage photos
Create a table with global secondary index
Create a table with warm throughput enabled
Create a web application to track DynamoDB data
Create a websocket chat application
Create an item with a TTL
Create and manage MRSC global tables
Create and manage global tables demonstrating MREC
Delete data using PartiQL DELETE
Detect PPE in images
Insert data using PartiQL INSERT
Invoke a Lambda function from a browser
Manage Global Secondary Indexes
Manage resource-based policies
Monitor DynamoDB performance
Perform advanced query operations
Perform list operations
Perform map operations
Perform set operations
Query a table by using batches of PartiQL statements
Query a table using PartiQL
Query a table using a Global Secondary Index
Query a table using a begins_with condition
Query a table using a date range
Query a table with a complex filter expression
Query a table with a dynamic filter expression
Query a table with a filter expression and limit
Query a table with nested attributes
Query a table with pagination
Query a table with strongly consistent reads
Query data using PartiQL SELECT
Query for TTL items
Query tables using date and time patterns
Save EXIF and other image information
Set up Attribute-Based Access Control
Understand update expression order
Update a table's warm throughput setting
Update an item's TTL
Update data using PartiQL UPDATE
Use API Gateway to invoke a Lambda function
Use Step Functions to invoke Lambda functions
Use a document model
Use a high-level object persistence model
Use atomic counter operations
Use conditional operations
Use expression attribute names
Use scheduled events to invoke a Lambda function
Work with Local Secondary Indexes
Work with Streams and Time-to-Live
Work with global tables and multi-Region replication eventual consistency (MREC)
Work with resource tagging
Work with table encryption

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UpdateTimeToLive

Accelerate reads with DAX