Can I use this skill with Spring Boot applications?

Absolutely. It includes specific patterns for Spring Boot configuration and the repository pattern to make data access consistent with Spring standards.

Does it cover DynamoDB Transactions?

Yes, the skill provides implementation examples for both TransactWriteItems and TransactGetItems for operations requiring atomicity across multiple tables.

Is pagination supported for large datasets?

Yes, the skill demonstrates how to use the SDK's paginated response types for both Scan and Query operations to handle large volumes of data efficiently.

How does this skill handle DynamoDB testing?

It includes strategies for unit testing using Mockito and integration testing using LocalStack with Testcontainers to simulate a real AWS environment.

Does this skill support the DynamoDB Enhanced Client?

Yes, it prioritizes the Enhanced Client for type-safe operations, providing a cleaner API and reduced boilerplate compared to the low-level client.

AWS DynamoDB for Java SDK 2.x

Name: AWS DynamoDB for Java SDK 2.x
Author: pur3v4d3r

bypur3v4d3r

•

Database Management

Simplifies Amazon DynamoDB integration in Java applications using the AWS SDK 2.x and Enhanced Client.

About

This skill provides a comprehensive suite of patterns and best practices for interacting with Amazon DynamoDB using the AWS SDK for Java 2.x. It covers everything from basic CRUD operations and type-safe entity mapping with the DynamoDB Enhanced Client to advanced features like transactions, batch processing, and Global Secondary Indexes (GSIs). Additionally, it includes robust integration patterns for Spring Boot applications and testing strategies using LocalStack and Mockito, ensuring developers can build scalable, well-tested NoSQL data layers with minimal boilerplate.

Key Features

Seamless Spring Boot integration with repository patterns and LocalStack testing configurations
High-performance bulk data handling via BatchGetItem and BatchWriteItem operations
Advanced query and scan patterns including filter expressions and efficient pagination
1 GitHub stars
Type-safe entity mapping using the DynamoDB Enhanced Client with @DynamoDbBean annotations
Atomic multi-item operations and consistency management using DynamoDB Transactions

Use Cases

Setting up automated integration tests for AWS data layers using Testcontainers and LocalStack
Implementing complex data access patterns using Global and Local Secondary Indexes
Building high-performance NoSQL backends for Spring Boot microservices

About

Key Features

Seamless Spring Boot integration with repository patterns and LocalStack testing configurations
High-performance bulk data handling via BatchGetItem and BatchWriteItem operations
Advanced query and scan patterns including filter expressions and efficient pagination
1 GitHub stars
Type-safe entity mapping using the DynamoDB Enhanced Client with @DynamoDbBean annotations
Atomic multi-item operations and consistency management using DynamoDB Transactions

Use Cases

Setting up automated integration tests for AWS data layers using Testcontainers and LocalStack
Implementing complex data access patterns using Global and Local Secondary Indexes
Building high-performance NoSQL backends for Spring Boot microservices