aws-sdk-java-v2-dynamodb▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Type-safe DynamoDB operations using AWS SDK for Java 2.x with Enhanced Client support.
- ›Covers CRUD operations, queries, scans, batch operations, and transactions using the Enhanced Client for type-safe entity mapping with @DynamoDbBean annotations
- ›Supports composite keys, Global Secondary Indexes (GSI), Local Secondary Indexes (LSI), and advanced filtering with QueryConditional and Expression builders
- ›Includes Spring Boot integration patterns with repository configuration, dependency
AWS SDK for Java 2.x - Amazon DynamoDB
Overview
Provides DynamoDB patterns using AWS SDK for Java 2.x with Enhanced Client for type-safe CRUD, queries, batch operations, transactions, and Spring Boot integration.
When to Use
- CRUD operations on DynamoDB items
- Querying tables with sort keys or GSI
- Batch operations for multiple items
- Atomic transactions across tables
- Spring Boot integration with DynamoDB
Instructions
- Add AWS SDK DynamoDB dependencies to
pom.xml - Configure client setup (low-level or Enhanced Client)
- Define entity classes with
@DynamoDbBeanannotations - Perform operations using
DynamoDbTable(CRUD, query, scan, batch, transactions) - Handle partial failures with retry logic and exponential backoff
- Use repository pattern for Spring Boot integration
Dependencies
Add to pom.xml:
<!-- Low-level DynamoDB client -->
<dependency>
<groupId>software.amazon.awssdk</groupId>
<artifactId>dynamodb</artifactId>
</dependency>
<!-- Enhanced client (recommended) -->
<dependency>
<groupId>software.amazon.awssdk</groupId>
<artifactId>dynamodb-enhanced</artifactId>
</dependency>
Client Setup
Low-Level Client
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.dynamodb.DynamoDbClient;
DynamoDbClient dynamoDb = DynamoDbClient.builder()
.region(Region.US_EAST_1)
.build();
Enhanced Client (Recommended)
import software.amazon.awssdk.enhanced.dynamodb.DynamoDbEnhancedClient;
DynamoDbEnhancedClient enhancedClient = DynamoDbEnhancedClient.builder()
.dynamoDbClient(dynamoDb)
.build();
Entity Mapping
@DynamoDbBean
public class Customer {
@DynamoDbPartitionKey
private String customerId;
@DynamoDbAttribute("customer_name")
private String name;
private String email;
@DynamoDbSortKey
private String orderId;
// Getters and setters
}
For complex entity mapping with GSIs and custom converters, see Entity Mapping Reference.
CRUD Operations
Basic Operations
// Create or update item
DynamoDbTable<Customer> table = enhancedClient.table("Customers", TableSchema.fromBean(Customer.class));
table.putItem(customer);
// Get item
Customer result = table.getItem(Key.builder().partitionValue(customerId).build());
// Update item
return table.updateItem(customer);
// Delete item
table.deleteItem(Key.builder().partitionValue(customerId).build());
Composite Key Operations
// Get item with composite key
Order order = table.getItem(Key.builder()
.partitionValue(customerId)
.sortValue(orderId)
.build());
Query Operations
Basic Query
import software.amazon.awssdk.enhanced.dynamodb.model.QueryConditional;
QueryConditional queryConditional = QueryConditional
.keyEqualTo(Key.builder()
.partitionValue(customerId)
.build());
List<Order> orders = table.query(queryConditional).items().stream()
.collect(Collectors.toList());
Advanced Query with Filters
import software.amazon.awssdk.enhanced.dynamodb.Expression;
Expression filter = Expression.builder()
.expression("status = :pending")
.putExpressionValue(":pending", AttributeValue.builder().s("PENDING").build())
.build();
List<Order> pendingOrders = table.query(r -> r
.queryConditional(queryConditional)
.filterExpression(filter))
.items().stream()
.collect(Collectors.toList());
For detailed query patterns, see Advanced Operations Reference.
Scan Operations
Warning: Scan reads entire table and consumes read capacity for all items. Prefer Query operations with partition keys or GSIs whenever possible.
Validation before scan:
- Confirm query with partition key is not feasible for your access pattern
- Verify table has sufficient provisioned read capacity or use on-demand mode
- Consider using pagination with
limit()to control capacity consumption
// Scan all items
List<Customer> allCustomers = table.scan().items().stream()
.collect(Collectors.toList());
// Scan with filter
Expression filter = Expression.builder()How to use aws-sdk-java-v2-dynamodb on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add aws-sdk-java-v2-dynamodb
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches aws-sdk-java-v2-dynamodb from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate aws-sdk-java-v2-dynamodb. Access the skill through slash commands (e.g., /aws-sdk-java-v2-dynamodb) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★70 reviews- ★★★★★Tariq Abebe· Dec 28, 2024
aws-sdk-java-v2-dynamodb is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Layla Liu· Dec 28, 2024
Useful defaults in aws-sdk-java-v2-dynamodb — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Dec 24, 2024
Solid pick for teams standardizing on skills: aws-sdk-java-v2-dynamodb is focused, and the summary matches what you get after install.
- ★★★★★Zaid Haddad· Dec 20, 2024
I recommend aws-sdk-java-v2-dynamodb for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Tariq Ndlovu· Dec 4, 2024
Solid pick for teams standardizing on skills: aws-sdk-java-v2-dynamodb is focused, and the summary matches what you get after install.
- ★★★★★Aditi Chawla· Nov 23, 2024
We added aws-sdk-java-v2-dynamodb from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Naina Taylor· Nov 19, 2024
Registry listing for aws-sdk-java-v2-dynamodb matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Oshnikdeep· Nov 15, 2024
We added aws-sdk-java-v2-dynamodb from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aditi Nasser· Nov 11, 2024
aws-sdk-java-v2-dynamodb reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Zaid Khan· Nov 7, 2024
Keeps context tight: aws-sdk-java-v2-dynamodb is the kind of skill you can hand to a new teammate without a long onboarding doc.
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