Details of the Application
It may be easier to simply look at the code and follow it there - it is available in my GitHub repo.
The application is a simple one - to perform CRUD operation on a Hotel entity represented using the following Kotlin code:
data class Hotel( val id: String = UUID.randomUUID().toString(), val name: String? = null, val address: String? = null, val state: String? = null, val zip: String? = null )
I want to expose endpoints to save and retrieve a hotel entity and to get the list of hotels by state.
Details of the AWS SDK 2
The package names of the AWS SDK 2 api's all start with "software.amazon.awssdk" prefix now, the client to interact with DynamoDB is created using code along these lines:
import software.amazon.awssdk.auth.credentials.DefaultCredentialsProvider import software.amazon.awssdk.regions.Region import software.amazon.awssdk.services.dynamodb.DynamoDbAsyncClient val client: DynamoDbAsyncClient = DynamoDbAsyncClient.builder() .region(Region.of(dynamoProperties.region)) .credentialsProvider(DefaultCredentialsProvider.builder().build()) .build()
Once the DynamoDbAsyncClient instance is created, any operation using this client returns a Java 8 CompletableFuture type. For eg. in saving a Hotel entity:
val putItemRequest = PutItemRequest.builder() .tableName("hotels") .item(HotelMapper.toMap(hotel)) .build() val result: CompletableFuture<PutItemResponse> = dynamoClient.putItem(putItemRequest)
and in retrieving a record by id:
val getItemRequest: GetItemRequest = GetItemRequest.builder() .key(mapOf(Constants.ID to AttributeValue.builder().s(id).build())) .tableName(Constants.TABLE_NAME) .build() val response: CompletableFuture<GetItemResponse> = dynamoClient.getItem(getItemRequest)
CompletableFuture provides a comprehensive set of functions to transform the results when available.
Integrating with Spring Webflux
Spring Webflux is a reactive web framework. The non-blocking IO support in AWS SDK 2 now makes it possible to write an end to end reactive and non-blocking applications with DynamoDB. Spring Webflux uses reactor-core to provide reactive streams support and the trick to integrating with AWS SDK 2 is to transform the Java 8 CompletableFuture to a reactor-core type, the following way when retrieving an item from DynamoDB by id:val getItemRequest: GetItemRequest = GetItemRequest.builder() .key(mapOf(Constants.ID to AttributeValue.builder().s(id).build())) .tableName(Constants.TABLE_NAME) .build() return Mono.fromCompletionStage(dynamoClient.getItem(getItemRequest)) .map { resp -> HotelMapper.fromMap(id, resp.item()) }
Spring Webflux expects the return types of the different web endpoint method signatures to be of reactive types, so a typical endpoint for getting say a list of hotels is the following:
@RequestMapping(value = ["/hotels"], method = [RequestMethod.GET]) fun getHotelsByState(@RequestParam("state") state: String): Flux<Hotel> { return hotelRepo.findHotelsByState(state) }
Spring Webflux also supports a functional way to describe the API of the application, so an equivalent API to retrieve a hotel by its id, but expressed as a functional DSL is the following:
@Configuration class HotelAdditionalRoutes { @Bean fun routes(hotelRepo: HotelRepo) = router { GET("/hotels/{id}") { req -> val id = req.pathVariable("id") val response: Mono<ServerResponse> = hotelRepo.getHotel(id) .flatMap { hotel -> ServerResponse.ok().body(BodyInserters.fromObject(hotel)) } response.switchIfEmpty(ServerResponse.notFound().build()) } } }
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