1. Overview
In this article, we’ll explore the basics of integrating DynamoDB into a Spring Boot Application with a hands-on, practical example project.
We’ll demonstrate how to configure an application to use a local DynamoDB instance using Spring Data. We’ll also create an example data model and repository class as well as perform actual database operations using an integration test.
2. DynamoDB
DynamoDB is a fully-managed hosted NoSQL database on AWS, similar to other NoSQL databases such as Cassandra or MongoDB. DynamoDB offers fast, consistent and predictable performance and is massively scalable.
You can learn more about DynamoDB on the AWS Documentation.
Let’s install a local instance of DynamoDB to avoid incurring the cost of running a live instance.
For development, running DynamoDB locally makes more sense than running on AWS; the local instance will be run as an executable JAR file.
You can find instructions on how to run DynamoDB locally here.
3. Maven Dependencies
Add the following dependencies to start working with DynamoDB using Spring Data:
<dependencyManagement> <dependencies> <dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-releasetrain</artifactId> <version>Gosling-SR1</version> <type>pom</type> <scope>import</scope> </dependency> </dependencies> </dependencyManagement> <dependencies> <dependency> <groupId>com.amazonaws</groupId> <artifactId>aws-java-sdk-dynamodb</artifactId> <version>1.11.34</version> </dependency> <dependency> <groupId>com.github.derjust</groupId> <artifactId>spring-data-dynamodb</artifactId> <version>4.3.1</version> </dependency> </dependencies>
4. Configuration
Next, let’s define the following properties in the application.properties file:
amazon.dynamodb.endpoint=http://localhost:8000/ amazon.aws.accesskey=key amazon.aws.secretkey=key2
The access and secret keys listed above are just arbitrary values for your local config. When accessing a local instance of DynamoDB these fields need to be populated by some values but are not needed to actually authenticate.
The properties will be dynamically pulled out of the application.properties file in the Spring config:
@Configuration @EnableDynamoDBRepositories (basePackages = "com.baeldung.spring.data.dynamodb.repositories") public class DynamoDBConfig { @Value("${amazon.dynamodb.endpoint}") private String amazonDynamoDBEndpoint; @Value("${amazon.aws.accesskey}") private String amazonAWSAccessKey; @Value("${amazon.aws.secretkey}") private String amazonAWSSecretKey; @Bean public AmazonDynamoDB amazonDynamoDB() { AmazonDynamoDB amazonDynamoDB = new AmazonDynamoDBClient(amazonAWSCredentials()); if (!StringUtils.isEmpty(amazonDynamoDBEndpoint)) { amazonDynamoDB.setEndpoint(amazonDynamoDBEndpoint); } return amazonDynamoDB; } @Bean public AWSCredentials amazonAWSCredentials() { return new BasicAWSCredentials( amazonAWSAccessKey, amazonAWSSecretKey); } }
5. The Data Model
Let’s now create a POJO model to represent the data stored in DynamoDB.
This POJO will use annotations similar to those used in Hibernate to define the table name, attributes, keys and other aspects of the table.
5.1. Data Model Attributes
The following class, ProductInfo, represents a table with items that contains 3 attributes:
- ID
- MSRP
- Cost
5.2 Java Data Model Class
Let’s create a file called ProductInfo.java in your data model folder:
@DynamoDBTable(tableName = "ProductInfo") public class ProductInfo { private String id; private String msrp; private String cost; @DynamoDBHashKey @DynamoDBAutoGeneratedKey public String getId() { return id; } @DynamoDBAttribute public String getMsrp() { return msrp; } @DynamoDBAttribute public String getCost() { return cost; } // standard setters/constructors }
6. CRUD Repository
Next, we need to create a ProductRepository interface to define the CRUD functionality we want to build out. Repositories used to read and persist data to and from DynamoDB will implement this interface:
@EnableScan public interface ProductInfoRepository extends CrudRepository<ProductInfo, String> { List<ProductInfo> findById(String id); }
7. Integration Test
Next, let’s create an integration test to ensure we can successfully connect to the local instance of DynamoDB:
@RunWith(SpringJUnit4ClassRunner.class) @SpringApplicationConfiguration(classes = Application.class) @WebAppConfiguration @IntegrationTest @ActiveProfiles("local") @TestPropertySource(properties = { "amazon.dynamodb.endpoint=http://localhost:8000/", "amazon.aws.accesskey=test1", "amazon.aws.secretkey=test231" }) public class ProductInfoRepositoryIntegrationTest { private DynamoDBMapper dynamoDBMapper; @Autowired private AmazonDynamoDB amazonDynamoDB; @Autowired ProductInfoRepository repository; private static final String EXPECTED_COST = "20"; private static final String EXPECTED_PRICE = "50"; @Before public void setup() throws Exception { dynamoDBMapper = new DynamoDBMapper(amazonDynamoDB); CreateTableRequest tableRequest = dynamoDBMapper .generateCreateTableRequest(ProductInfo.class); tableRequest.setProvisionedThroughput( new ProvisionedThroughput(1L, 1L)); amazonDynamoDB.createTable(tableRequest); //... dynamoDBMapper.batchDelete( (List<ProductInfo>)repository.findAll()); } @Test public void sampleTestCase() { ProductInfo dave = new ProductInfo(EXPECTED_COST, EXPECTED_PRICE); ProductInfoRepository.save(dave); List<ProductInfo> result = (List<ProductInfo>) repository.findAll(); assertTrue("Not empty", result.size() > 0); assertTrue("Contains item with expected cost", result.get(0).getCost().equals(EXPECTED_COST)); } }
8. Conclusion
And we’re done – we can now connect to DynamoDB from a Spring Boot Application.
Of course, after completing testing locally, we should be able to transparently use a live instance of DynamoDB on AWS and run the deployed code with only minor configuration changes.
As always, the example used in this article is available as a sample project over on GitHub.