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c10_Backpressure.java
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c10_Backpressure.java
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import org.junit.jupiter.api.*;
import org.reactivestreams.Subscription;
import reactor.core.Exceptions;
import reactor.core.publisher.BaseSubscriber;
import reactor.core.publisher.Flux;
import reactor.test.StepVerifier;
import reactor.test.StepVerifierOptions;
import java.time.Duration;
import java.util.List;
import java.util.UUID;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.TimeoutException;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicReference;
/**
* Backpressure is a mechanism that allows a consumer to signal to a producer that it is ready receive data.
* This is important because the producer may be sending data faster than the consumer can process it, and can overwhelm consumer.
*
* Read first:
*
* https://projectreactor.io/docs/core/release/reference/#reactive.backpressure
* https://projectreactor.io/docs/core/release/reference/#_on_backpressure_and_ways_to_reshape_requests
* https://projectreactor.io/docs/core/release/reference/#_operators_that_change_the_demand_from_downstream
* https://projectreactor.io/docs/core/release/reference/#producing
* https://projectreactor.io/docs/core/release/reference/#_asynchronous_but_single_threaded_push
* https://projectreactor.io/docs/core/release/reference/#_a_hybrid_pushpull_model
* https://projectreactor.io/docs/core/release/reference/#_an_alternative_to_lambdas_basesubscriber
*
* Useful documentation:
*
* https://projectreactor.io/docs/core/release/reference/#which-operator
* https://projectreactor.io/docs/core/release/api/reactor/core/publisher/Mono.html
* https://projectreactor.io/docs/core/release/api/reactor/core/publisher/Flux.html
*
* @author Stefan Dragisic
*/
public class c10_Backpressure extends BackpressureBase {
/**
* In this exercise subscriber (test) will request several messages from the message stream.
* Hook to the requests and record them to the `requests` list.
*/
@Test
public void request_and_demand() {
CopyOnWriteArrayList<Long> requests = new CopyOnWriteArrayList<>();
Flux<String> messageStream = messageStream1()
//todo: change this line only
;
StepVerifier.create(messageStream, StepVerifierOptions.create().initialRequest(0))
.expectSubscription()
.thenRequest(1)
.then(() -> pub1.next("msg#1"))
.thenRequest(3)
.then(() -> pub1.next("msg#2", "msg#3"))
.then(pub1::complete)
.expectNext("msg#1", "msg#2", "msg#3")
.verifyComplete();
Assertions.assertEquals(List.of(1L, 3L), requests);
}
/**
* Adjust previous solution in such a way that you limit rate of requests. Number of requested messages stays the
* same, but each request should be limited to 1 message.
*/
@Test
public void limited_demand() {
CopyOnWriteArrayList<Long> requests = new CopyOnWriteArrayList<>();
Flux<String> messageStream = messageStream2()
//todo: do your changes here
;
StepVerifier.create(messageStream, StepVerifierOptions.create().initialRequest(0))
.expectSubscription()
.thenRequest(1)
.then(() -> pub2.next("msg#1"))
.thenRequest(3)
.then(() -> pub2.next("msg#2", "msg#3"))
.then(pub2::complete)
.expectNext("msg#1", "msg#2", "msg#3")
.verifyComplete();
Assertions.assertEquals(List.of(1L, 1L, 1L, 1L), requests);
}
/**
* Finish the implementation of the `uuidGenerator` so it exactly requested amount of UUIDs. Or better said, it
* should respect the backpressure of the consumer.
*/
@Test
public void uuid_generator() {
Flux<UUID> uuidGenerator = Flux.create(sink -> {
//todo: do your changes here
});
StepVerifier.create(uuidGenerator
.doOnNext(System.out::println)
.timeout(Duration.ofSeconds(1))
.onErrorResume(TimeoutException.class, e -> Flux.empty()),
StepVerifierOptions.create().initialRequest(0))
.expectSubscription()
.thenRequest(10)
.expectNextCount(10)
.thenCancel()
.verify();
}
/**
* You are receiving messages from malformed publisher that may not respect backpressure.
* In case that publisher produces more messages than subscriber is able to consume, raise an error.
*/
@Test
public void pressure_is_too_much() {
Flux<String> messageStream = messageStream3()
//todo: change this line only
;
StepVerifier.create(messageStream, StepVerifierOptions.create()
.initialRequest(0))
.expectSubscription()
.thenRequest(3)
.then(() -> pub3.next("A", "B", "C", "D"))
.expectNext("A", "B", "C")
.expectErrorMatches(Exceptions::isOverflow)
.verify();
}
/**
* You are receiving messages from malformed publisher that may not respect backpressure. In case that publisher
* produces more messages than subscriber is able to consume, buffer them for later consumption without raising an
* error.
*/
@Test
public void u_wont_brake_me() {
Flux<String> messageStream = messageStream4()
//todo: change this line only
;
StepVerifier.create(messageStream, StepVerifierOptions.create()
.initialRequest(0))
.expectSubscription()
.thenRequest(3)
.then(() -> pub4.next("A", "B", "C", "D"))
.expectNext("A", "B", "C")
.then(() -> pub4.complete())
.thenAwait()
.thenRequest(1)
.expectNext("D")
.verifyComplete();
}
/**
* We saw how to react to request demand from producer side. In this part we are going to control demand from
* consumer side by implementing BaseSubscriber directly.
* Finish implementation of base subscriber (consumer of messages) with following objectives:
* - once there is subscription, you should request exactly 10 messages from publisher
* - once you received 10 messages, you should cancel any further requests from publisher.
* Producer respects backpressure.
*/
@Test
public void subscriber() throws InterruptedException {
AtomicReference<CountDownLatch> lockRef = new AtomicReference<>(new CountDownLatch(1));
AtomicInteger count = new AtomicInteger(0);
AtomicReference<Subscription> sub = new AtomicReference<>();
remoteMessageProducer()
.doOnCancel(() -> lockRef.get().countDown())
.subscribeWith(new BaseSubscriber<String>() {
//todo: do your changes only within BaseSubscriber class implementation
@Override
protected void hookOnSubscribe(Subscription subscription) {
sub.set(subscription);
}
@Override
protected void hookOnNext(String s) {
System.out.println(s);
count.incrementAndGet();
}
//-----------------------------------------------------
});
lockRef.get().await();
Assertions.assertEquals(10, count.get());
}
}