Aggregator Microservice Sample In Java with Examples

Aggregator Microservice Sample In Java With Examples

In
Java, the Aggregator Microservice Sample might be carried out utilizing
varied approaches, equivalent to asynchronous communication, synchronous
communication, or a mix of each.

Asynchronous Communication

One
strategy to implement the Aggregator Microservice Sample in Java is by
utilizing asynchronous communication between the microservices. On this
strategy, the consumer sends a request to the aggregator microservice,
which then sends requests to the person microservices in parallel. 

Every microservice processes the request and sends the response again to
the aggregator microservice, which then aggregates the responses and
returns the end result to the consumer.

This strategy
has the benefit of enhancing the efficiency of the system by
permitting the microservices to course of the requests concurrently.
Nonetheless, it requires using an asynchronous communication mechanism,
equivalent to message queues or event-driven architectures, which might
introduce extra complexity to the system.

Right here is an instance of an Aggregator Microservice that makes use of asynchronous communication in Java:

public class AsyncAggregatorMicroservice {
    personal ultimate ExecutorService executorService;
    personal ultimate Microservice1Client microservice1Client;
    personal ultimate Microservice2Client microservice2Client;
    personal ultimate Microservice3Client microservice3Client;

    public AsyncAggregatorMicroservice(ExecutorService executorService, Microservice1Client microservice1Client, Microservice2Client microservice2Client, Microservice3Client microservice3Client) {
        this.executorService = executorService;
        this.microservice1Client = microservice1Client;
        this.microservice2Client = microservice2Client;
        this.microservice3Client = microservice3Client;
    }

    public CompletableFuture<AggregatedResponse> processRequest(Request request) {
        CompletableFuture<Response1> response1Future = CompletableFuture.supplyAsync(() -> microservice1Client.processRequest(request), executorService);
        CompletableFuture<Response2> response2Future = CompletableFuture.supplyAsync(() -> microservice2Client.processRequest(request), executorService);
        CompletableFuture<Response3> response3Future = CompletableFuture.supplyAsync(() -> microservice3Client.processRequest(request), executorService);

        return CompletableFuture.allOf(response1Future, response2Future, response3Future)
                .thenApply(v -> new AggregatedResponse(response1Future.be part of(), response2Future.be part of(), response3Future.be part of()));
    }
}

In
this instance, the AsyncAggregatorMicroservice class makes use of the
CompletableFuture class from the Java Concurrency API to ship requests
to the person microservices asynchronously. The
CompletableFuture.allOf() technique is used to attend for all of the responses
to be acquired, and the thenApply() technique is used to combination the
responses and return the end result to the consumer.

Synchronous Communication

One other
strategy to implement the Aggregator Microservice Sample in Java is by
utilizing synchronous communication between the microservices. On this
strategy, the consumer sends a request to the aggregator microservice,
which then sends requests to the person microservices sequentially. 

 Every microservice processes the request and sends the response again to
the aggregator microservice, which then aggregates the responses and
returns the end result to the consumer.

This strategy
has the benefit of simplicity, because it doesn’t require using
asynchronous communication mechanisms. Nonetheless, it could possibly have a unfavorable
influence on the efficiency of the system, because the aggregator microservice
has to attend for every microservice to finish its activity earlier than shifting on
to the subsequent one.

Right here is an instance of an Aggregator Microservice that makes use of synchronous communication in Java:

public class SyncAggregatorMicroservice {
    personal ultimate Microservice1Client microservice1Client;
    personal ultimate Microservice2Client microservice2Client;
    personal ultimate Microservice3Client microservice3Client;

    public SyncAggregatorMicroservice(Microservice1Client microservice1Client, 
              Microservice2Client microservice2Client, 
              Microservice3Client microservice3Client) {
        this.microservice1Client = microservice1Client;
        this.microservice2Client = microservice2Client;
        this.microservice3Client = microservice3Client;
    }

    public AggregatedResponse processRequest(Request request) {
        Response1 response1 = microservice1Client.processRequest(request);
        Response2 response2 = microservice2Client.processRequest(request);
        Response3 response3 = microservice3Client.processRequest(request);
        return new AggregatedResponse(response1, response2, response3);
    }
}

In
this instance, the SyncAggregatorMicroservice class sends requests to
the person microservices synchronously, one after the opposite. The
responses are then aggregated and returned to the consumer.

Mixture of Asynchronous and Synchronous Communication

It
can also be doable to implement the Aggregator Microservice Sample in
Java by combining asynchronous and synchronous communication. On this
strategy, the consumer sends a request to the aggregator microservice,
which then sends requests to a number of the microservices asynchronously
and to others synchronously, relying on the necessities of the
system.

This strategy permits for a steadiness
between efficiency and ease, because it permits the microservices to
course of the requests concurrently the place doable, whereas nonetheless conserving
the implementation easy.

Right here is an instance of an Aggregator Microservice that makes use of a mix of asynchronous and synchronous communication in Java:

public class HybridAggregatorMicroservice {
    personal ultimate ExecutorService executorService;
    personal ultimate Microservice1Client microservice1Client;
    personal ultimate Microservice2Client microservice2Client;
    personal ultimate Microservice3Client microservice3Client;

    public HybridAggregatorMicroservice(ExecutorService executorService, Microservice1Client microservice1Client, Microservice2Client microservice2Client, Microservice3Client microservice3Client) {
        this.executorService = executorService;
        this.microservice1Client = microservice1Client;
        this.microservice2Client = microservice2Client;
        this.microservice3Client = microservice3Client;
    }


public AggregatedResponse processRequest(Request request) {
CompletableFuture<Response1> response1Future = CompletableFuture.supplyAsync(() -> microservice1Client.processRequest(request), executorService);
Response2 response2 = microservice2Client.processRequest(request);
CompletableFuture<Response3> response3Future = CompletableFuture.supplyAsync(() -> microservice3Client.processRequest(request), executorService);


    return CompletableFuture.allOf(response1Future, response3Future)
            .thenApply(v -> new AggregatedResponse(response1Future.be part of(), response2, response3Future.be part of()));
}

In
this instance, the `HybridAggregatorMicroservice` class sends requests
to the `microservice1Client` and `microservice3Client` asynchronously,
and to the `microservice2Client` synchronously. The responses are then
aggregated and returned to the consumer.

Conclusion

The
Aggregator Microservice Sample is a helpful design sample for
composing advanced companies by aggregating the responses of a number of
unbiased microservices. In Java, this sample might be carried out
utilizing asynchronous communication, synchronous communication, or a
mixture of each, relying on the necessities of the system. 

 Asynchronous communication can enhance the efficiency of the system,
but it surely requires using extra communication mechanisms.
Synchronous communication is less complicated to implement, however it could possibly have a
unfavorable influence on efficiency.

A mix of asynchronous and
synchronous communication permits for a steadiness between efficiency and
simplicity.