Initial commit: Custom Start Page application with authentication and DynamoDB storage
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docs/task-3.1-implementation.md
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docs/task-3.1-implementation.md
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# Task 3.1 Implementation: DynamoDB Storage Service Wrapper
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## Overview
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Enhanced the existing DynamoDB client from Task 2.1 with retry logic, connection pooling, transaction support, and batch operations.
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## Implementation Details
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### 1. Enhanced Client Configuration
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- **Retry Strategy**: Configured with exponential backoff and jitter
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- Max attempts: 5
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- Max backoff: 20 seconds
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- Prevents thundering herd with jitter
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- **Connection Pooling**: Uses AWS SDK's default HTTP client with built-in connection pooling
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### 2. Transaction Support
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Implemented `TransactWriteItems` method for ACID transactions:
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- Supports multiple write operations in a single atomic transaction
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- Automatic retry on transient failures
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- Proper error handling and wrapping
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### 3. Batch Operations
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Implemented two batch operation methods:
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#### BatchGetItems
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- Retrieves multiple items in a single request
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- Automatically retries unprocessed keys with exponential backoff
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- Merges results from retry attempts
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- Max 5 retry attempts with increasing backoff (100ms → 20s)
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#### BatchWriteItems
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- Writes multiple items in a single request
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- Automatically retries unprocessed items with exponential backoff
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- Max 5 retry attempts with increasing backoff (100ms → 20s)
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### 4. Standard Operations
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Wrapped standard DynamoDB operations with automatic retry:
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- `PutItem` - Put a single item
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- `GetItem` - Get a single item
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- `UpdateItem` - Update a single item
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- `DeleteItem` - Delete a single item
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- `Query` - Query items
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All operations include proper error handling and wrapping.
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### 5. Comprehensive Testing
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Created `dynamodb_test.go` with tests for:
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- Client initialization
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- Transaction operations
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- Batch get operations
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- Batch write operations
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- Put and get operations
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- Update operations
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- Delete operations
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- Query operations
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Tests include:
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- Automatic skip when DynamoDB is not available
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- Helper function for test setup with dummy AWS credentials
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- Table creation and cleanup helpers
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- Verification of all operations
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## Files Modified/Created
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### Modified
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- `internal/storage/dynamodb.go` - Enhanced with retry logic, transactions, and batch operations
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### Created
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- `internal/storage/dynamodb_test.go` - Comprehensive test suite
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- `internal/storage/README.md` - Documentation for the storage service
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- `docs/task-3.1-implementation.md` - This implementation document
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## Requirements Addressed
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✅ **Requirement 8.1**: Immediate persistence with reliable operations
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✅ **Requirement 8.8**: Efficient scaling through batch operations and connection pooling
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✅ **Design**: Retry logic with exponential backoff
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✅ **Design**: Transaction support (TransactWrite)
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✅ **Design**: Batch operations (BatchGet, BatchWrite)
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✅ **Design**: Connection pooling
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## Testing
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### Running Tests
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```bash
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# Start DynamoDB Local
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docker-compose up -d
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# Run all storage tests
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go test -v ./internal/storage
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# Run specific tests
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go test -v ./internal/storage -run TestTransactWriteItems
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```
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### Test Coverage
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- ✅ Client initialization with retry configuration
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- ✅ Transaction writes with multiple items
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- ✅ Batch get with multiple items
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- ✅ Batch write with multiple items
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- ✅ Single item operations (Put, Get, Update, Delete)
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- ✅ Query operations
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- ✅ Graceful skip when DynamoDB unavailable
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## Usage Example
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```go
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// Create client
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ctx := context.Background()
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client, err := storage.NewDynamoDBClient(ctx, "http://localhost:8000")
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if err != nil {
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log.Fatal(err)
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}
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// Transaction example
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err = client.TransactWriteItems(ctx, &dynamodb.TransactWriteItemsInput{
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TransactItems: []types.TransactWriteItem{
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{
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Put: &types.Put{
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TableName: aws.String("MyTable"),
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Item: map[string]types.AttributeValue{
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"id": &types.AttributeValueMemberS{Value: "item1"},
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},
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},
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},
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},
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})
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// Batch write example
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err = client.BatchWriteItems(ctx, &dynamodb.BatchWriteItemInput{
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RequestItems: map[string][]types.WriteRequest{
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"MyTable": {
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{
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PutRequest: &types.PutRequest{
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Item: map[string]types.AttributeValue{
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"id": &types.AttributeValueMemberS{Value: "item1"},
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},
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},
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},
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},
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},
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})
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// Batch get example
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output, err := client.BatchGetItems(ctx, &dynamodb.BatchGetItemInput{
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RequestItems: map[string]types.KeysAndAttributes{
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"MyTable": {
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Keys: []map[string]types.AttributeValue{
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{"id": &types.AttributeValueMemberS{Value: "item1"}},
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},
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},
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},
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})
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```
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## Next Steps
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This enhanced storage service is now ready to be used by:
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- Task 3.2: Data model implementations
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- Task 3.3: Table schema creation
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- All future tasks requiring DynamoDB operations
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The retry logic, transaction support, and batch operations provide a solid foundation for building scalable, reliable data access patterns.
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