public async Task ExternalPlainSource_should_be_stopped_on_serialization_error_only_when_requested_messages()
{
var topic = CreateTopic(1);
var group = CreateGroup(1);
// Make consumer expect numeric messages
var settings = CreateConsumerSettings <int>(group).WithValueDeserializer(Deserializers.Int32);
var consumer = Sys.ActorOf(KafkaConsumerActorMetadata.GetProps(settings));
// Subscribe to partitions
var(control1, probe1) = CreateExternalPlainSourceProbe <int>(consumer, Subscriptions.Assignment(new TopicPartition(topic, 0)));
var(control2, probe2) = CreateExternalPlainSourceProbe <int>(consumer, Subscriptions.Assignment(new TopicPartition(topic, 1)));
var(control3, probe3) = CreateExternalPlainSourceProbe <int>(consumer, Subscriptions.Assignment(new TopicPartition(topic, 2)));
// request from 2 streams
probe1.Request(1);
probe2.Request(1);
await Task.Delay(500); // To establish demand
// Send string messages
await ProduceStrings(new TopicPartition(topic, 0), new int[] { 1 }, ProducerSettings);
await ProduceStrings(new TopicPartition(topic, 1), new int[] { 1 }, ProducerSettings);
// First two stages should fail, and only stage without demand should keep going
probe1.ExpectError().Should().BeOfType <SerializationException>();
probe2.ExpectError().Should().BeOfType <SerializationException>();
probe3.Cancel();
// Make sure source tasks finish accordingly
AwaitCondition(() => control1.IsShutdown.IsCompleted && control2.IsShutdown.IsCompleted && control3.IsShutdown.IsCompletedSuccessfully);
// Cleanup
consumer.Tell(KafkaConsumerActorMetadata.Internal.Stop.Instance, ActorRefs.NoSender);
}
public async Task Overriden_default_decider_on_PlainSource_should_work()
{
int elementsCount = 10;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
var sourceTask = ProduceStrings(new TopicPartition(topic1, 0), Enumerable.Range(1, elementsCount), ProducerSettings);
await GuardWithTimeoutAsync(sourceTask, TimeSpan.FromSeconds(3));
var settings = CreateConsumerSettings <int>(group1).WithValueDeserializer(Deserializers.Int32);
var decider = new OverridenConsumerDecider(settings.AutoCreateTopicsEnabled);
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(decider.Decide))
.Select(c => c.Value)
.RunWith(this.SinkProbe <int>(), Materializer);
probe.Request(elementsCount);
probe.ExpectNoMsg(TimeSpan.FromSeconds(10));
// this is twice elementCount because Decider is called twice on each exceptions
decider.CallCount.Should().Be(elementsCount * 2);
probe.Cancel();
}
public async Task CommitableSource_consumes_messages_from_Producer_without_commits()
{
int elementsCount = 100;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
var topicPartition1 = new TopicPartition(topic1, 0);
await GivenInitializedTopic(topicPartition1);
await Source
.From(Enumerable.Range(1, elementsCount))
.Select(elem => new ProducerRecord <Null, string>(topicPartition1, elem.ToString()))
.RunWith(KafkaProducer.PlainSink(ProducerSettings), Materializer);
var consumerSettings = CreateConsumerSettings <string>(group1);
var probe = KafkaConsumer
.CommittableSource(consumerSettings, Subscriptions.Assignment(topicPartition1))
.Where(c => !c.Record.Value.Equals(InitialMsg))
.Select(c => c.Record.Value)
.RunWith(this.SinkProbe <string>(), Materializer);
probe.Request(elementsCount);
foreach (var i in Enumerable.Range(1, elementsCount).Select(c => c.ToString()))
{
probe.ExpectNext(i, TimeSpan.FromSeconds(10));
}
probe.Cancel();
}
public async Task PlainSource_should_resume_stage_if_broker_unavailable()
{
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
var topicPartition1 = new TopicPartition(topic1, 0);
await GivenInitializedTopic(topicPartition1);
var config = ConsumerSettings <Null, string> .Create(Sys, null, null)
.WithBootstrapServers("localhost:10092")
.WithGroupId(group1);
var regex = new Regex("\\[localhost:10092\\/bootstrap: Connect to [a-zA-Z0-9#:.*]* failed:");
var logProbe = CreateTestProbe();
Sys.EventStream.Subscribe <Info>(logProbe.Ref);
var(control, probe) = CreateProbe(config, Subscriptions.Assignment(topicPartition1));
probe.Request(1);
AwaitAssert(() =>
{
var info = logProbe.ExpectMsg <Info>();
regex.IsMatch(info.Message.ToString() ?? "").Should().BeTrue();
info.Message.ToString().Should().Contain("[Resume]");
});
//AwaitCondition(() => control.IsShutdown.IsCompleted, TimeSpan.FromSeconds(10));
}
public async Task PlainSource_with_directive_override_should_resume_on_deserialization_errors()
{
var callCount = 0;
Directive Decider(Exception cause)
{
if (cause is ConsumeException ex && ex.Error.IsSerializationError())
{
callCount++;
return(Directive.Resume);
}
return(Directive.Stop);
}
int elementsCount = 10;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
await ProduceStrings(new TopicPartition(topic1, 0), Enumerable.Range(1, elementsCount), ProducerSettings);
var settings = CreateConsumerSettings <int>(group1).WithValueDeserializer(Deserializers.Int32);
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(Decider))
.Select(c => c.Value)
.RunWith(this.SinkProbe <int>(), Materializer);
probe.Request(elementsCount);
probe.ExpectNoMsg(TimeSpan.FromSeconds(10));
// this is twice elementCount because Decider is called twice on each exceptions
callCount.Should().Be(elementsCount * 2);
probe.Cancel();
}
public async Task PlainSource_should_resume_on_deserialization_errors()
{
Directive Decider(Exception cause) => cause is SerializationException
? Directive.Resume
: Directive.Stop;
int elementsCount = 10;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
await Produce(topic1, Enumerable.Range(1, elementsCount), ProducerSettings);
var settings = ConsumerSettings <Null, int> .Create(Sys, null, new IntDeserializer())
.WithBootstrapServers(KafkaUrl)
.WithProperty("auto.offset.reset", "earliest")
.WithGroupId(group1);
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(Decider))
.Select(c => c.Value)
.RunWith(this.SinkProbe <int>(), _materializer);
probe.Request(elementsCount);
probe.ExpectNoMsg(TimeSpan.FromSeconds(10));
probe.Cancel();
}
public async Task PlainSource_should_stop_on_errors()
{
int elementsCount = 10;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
await ProduceStrings(new TopicPartition(topic1, 0), Enumerable.Range(1, elementsCount), ProducerSettings);
var settings = CreateConsumerSettings <int>(group1).WithValueDeserializer(Deserializers.Int32);
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(Deciders.StoppingDecider))
.Select(c => c.Value)
.RunWith(this.SinkProbe <int>(), Materializer);
var error = probe.Request(elementsCount).ExpectEvent(TimeSpan.FromSeconds(5));
error.Should().BeOfType <TestSubscriber.OnError>();
var exception = ((TestSubscriber.OnError)error).Cause;
exception.Should().BeOfType <ConsumeException>();
((ConsumeException)exception).Error.IsSerializationError().Should().BeTrue();
probe.ExpectNoMsg(TimeSpan.FromSeconds(5));
probe.Cancel();
}
public async Task PlainSink_should_resume_on_deserialization_errors()
{
var callCount = 0;
Directive Decider(Exception cause)
{
callCount++;
switch (cause)
{
case ProduceException <Null, string> ex when ex.Error.IsSerializationError():
return(Directive.Resume);
default:
return(Directive.Stop);
}
}
var elementsCount = 10;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
var producerSettings = ProducerSettings <Null, string>
.Create(Sys, null, new FailingSerializer())
.WithBootstrapServers(Fixture.KafkaServer);
var sink = KafkaProducer.PlainSink(producerSettings)
.AddAttributes(ActorAttributes.CreateSupervisionStrategy(Decider));
var sourceTask = Source
.From(new [] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 })
.Select(elem => new ProducerRecord <Null, string>(new TopicPartition(topic1, 0), elem.ToString()))
.RunWith(sink, Materializer);
var timeoutTask = Task.Delay(TimeSpan.FromSeconds(5));
var completeTask = await Task.WhenAny(sourceTask, timeoutTask);
if (completeTask == timeoutTask)
{
throw new Exception("Producer timed out");
}
var settings = CreateConsumerSettings <Null, string>(group1).WithValueDeserializer(new StringDeserializer());
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.Select(c => c.Value)
.RunWith(this.SinkProbe <string>(), Materializer);
probe.Request(elementsCount);
for (var i = 0; i < 9; i++)
{
Log.Info($">>>>>>>>>>> {i}");
probe.ExpectNext();
}
callCount.Should().Be(1);
probe.Cancel();
}
public async Task SupervisionStrategy_Decider_on_PlainSink_should_work()
{
var callCount = 0;
Directive Decider(Exception cause)
{
callCount++;
switch (cause)
{
case ProduceException <Null, string> ex when ex.Error.IsSerializationError():
return(Directive.Resume);
default:
return(Directive.Stop);
}
}
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
var producerSettings = ProducerSettings <Null, string>
.Create(Sys, null, new FailingSerializer())
.WithBootstrapServers(Fixture.KafkaServer);
// Exception is injected into the sink by the FailingSerializer serializer, it throws an exceptions
// when the message "5" is encountered.
var sourceTask = Source
.From(new [] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 })
.Select(elem => new ProducerRecord <Null, string>(new TopicPartition(topic1, 0), elem.ToString()))
.RunWith(
KafkaProducer.PlainSink(producerSettings)
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(Decider)),
Materializer);
await GuardWithTimeoutAsync(sourceTask, TimeSpan.FromSeconds(5));
var settings = CreateConsumerSettings <Null, string>(group1).WithValueDeserializer(new StringDeserializer());
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.Select(c => c.Value)
.RunWith(this.SinkProbe <string>(), Materializer);
probe.Request(10);
for (var i = 0; i < 9; i++)
{
var message = probe.ExpectNext();
Log.Info($"> [{i}]: {message}");
}
callCount.Should().Be(1);
probe.Cancel();
}
public async Task CommitterFlow_commits_offsets_from_CommittableSource(int batchSize)
{
var topic1 = CreateTopic(1);
var topicPartition1 = new TopicPartition(topic1, 0);
var group1 = CreateGroup(1);
await GivenInitializedTopic(topicPartition1);
await Source
.From(Enumerable.Range(1, 100))
.Select(elem => new ProducerRecord <Null, string>(topicPartition1, elem.ToString()))
.RunWith(KafkaProducer.PlainSink(ProducerSettings), Materializer);
var consumerSettings = CreateConsumerSettings <string>(group1);
var committedElements = new ConcurrentQueue <string>();
var committerSettings = CommitterSettings.WithMaxBatch(batchSize);
var(task, probe1) = KafkaConsumer.CommittableSource(consumerSettings, Subscriptions.Assignment(topicPartition1))
.WhereNot(c => c.Record.Value == InitialMsg)
.SelectAsync(10, elem =>
{
committedElements.Enqueue(elem.Record.Value);
return(Task.FromResult(elem.CommitableOffset as ICommittable));
})
.Via(Committer.Flow(committerSettings))
.ToMaterialized(this.SinkProbe <Done>(), Keep.Both)
.Run(Materializer);
probe1.Request(25 / batchSize);
foreach (var _ in Enumerable.Range(1, 25 / batchSize))
{
probe1.ExpectNext(Done.Instance, TimeSpan.FromSeconds(10));
}
probe1.Cancel();
AwaitCondition(() => task.IsShutdown.IsCompletedSuccessfully);
var probe2 = KafkaConsumer.PlainSource(consumerSettings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.Select(_ => _.Value)
.RunWith(this.SinkProbe <string>(), Materializer);
probe2.Request(75);
foreach (var i in Enumerable.Range(committedElements.Count + 1, 75).Select(c => c.ToString()))
{
probe2.ExpectNext(i, TimeSpan.FromSeconds(10));
}
probe2.Cancel();
}
public async Task SupervisionStrategy_Decider_on_Consumer_Downstream_should_work()
{
var topic = CreateTopic(1);
var group = CreateGroup(1);
var topicPartition = new TopicPartition(topic, 0);
var callCount = 0;
Directive Decider(Exception cause)
{
callCount++;
if (cause.Message == "BOOM!")
{
return(Directive.Restart);
}
return(Directive.Stop);
}
var consumerSettings = CreateConsumerSettings <string>(group);
var counter = 0;
await Source.From(Enumerable.Range(1, 11))
.Select(elem => new ProducerRecord <Null, string>(topicPartition, elem.ToString()))
.RunWith(KafkaProducer.PlainSink(ProducerSettings), Materializer);
var(_, probe) = KafkaConsumer
.PlainSource(consumerSettings, Subscriptions.Assignment(topicPartition))
.Select(c =>
{
counter++;
// fail once on counter 5
if (counter == 5)
{
throw new Exception("BOOM!");
}
return(c.Message.Value);
})
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(Decider))
.ToMaterialized(this.SinkProbe <string>(), Keep.Both)
.Run(Materializer);
probe.Request(10);
for (var i = 0; i < 9; i++)
{
var message = probe.ExpectNext(TimeSpan.FromSeconds(10));
Log.Info(message);
}
probe.Cancel();
callCount.Should().Be(1);
}
public async Task PlainSource_should_fail_stage_if_broker_unavailable()
{
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
await GivenInitializedTopic(topic1);
var config = ConsumerSettings <Null, string> .Create(Sys, null, new StringDeserializer(Encoding.UTF8))
.WithBootstrapServers("localhost:10092")
.WithGroupId(group1);
var probe = CreateProbe(config, topic1, Subscriptions.Assignment(new TopicPartition(topic1, 0)));
probe.Request(1).ExpectError().Should().BeOfType <KafkaException>();
}
public async Task PlainSource_should_fail_stage_if_broker_unavailable()
{
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
var topicPartition1 = new TopicPartition(topic1, 0);
await GivenInitializedTopic(topicPartition1);
var config = ConsumerSettings <Null, string> .Create(Sys, null, null)
.WithBootstrapServers("localhost:10092")
.WithGroupId(group1);
var(control, probe) = CreateProbe(config, Subscriptions.Assignment(topicPartition1));
probe.Request(1);
AwaitCondition(() => control.IsShutdown.IsCompleted, TimeSpan.FromSeconds(10));
}
public async Task SupervisionStrategy_Decider_on_Producer_Upstream_should_work()
{
var topic = CreateTopic(1);
var group = CreateGroup(1);
var topicPartition = new TopicPartition(topic, 0);
var callCount = 0;
// create a custom Decider with a "Restart" directive in the event of DivideByZeroException
Directive Decider(Exception cause)
{
callCount++;
return(cause is DivideByZeroException
? Directive.Restart
: Directive.Stop);
}
var consumerSettings = CreateConsumerSettings <string>(group);
var numbers = Source.From(new [] { 9, 8, 7, 6, 0, 5, 4, 3, 2, 1 });
await numbers
// a DivideByZeroException will be thrown here, and since this happens upstream of the producer sink,
// the whole stream got restarted when the exception happened, and the offending message will be ignored.
// All the messages prior and after the exception are sent to the Kafka producer.
.Via(Flow.Create <int>().Select(x => $"1/{x} is {1/x} w/ integer division"))
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(Decider))
.Select(elem => new ProducerRecord <Null, string>(topicPartition, elem))
.RunWith(KafkaProducer.PlainSink(ProducerSettings), Materializer);
var(_, probe) = KafkaConsumer
.PlainSource(consumerSettings, Subscriptions.Assignment(topicPartition))
.Select(c => c.Message.Value)
.ToMaterialized(this.SinkProbe <string>(), Keep.Both)
.Run(Materializer);
probe.Request(10);
for (var i = 0; i < 9; i++)
{
Log.Info(probe.ExpectNext(TimeSpan.FromSeconds(10)));
}
probe.Cancel();
callCount.Should().BeGreaterThan(0);
}
public async Task PlainSource_consumes_messages_from_KafkaProducer_with_topicPartition_assignment()
{
int elementsCount = 100;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
await GivenInitializedTopic(topic1);
await Produce(topic1, Enumerable.Range(1, elementsCount), ProducerSettings);
var consumerSettings = CreateConsumerSettings(group1);
var probe = CreateProbe(consumerSettings, topic1, Subscriptions.Assignment(new TopicPartition(topic1, 0)));
probe.Request(elementsCount);
foreach (var i in Enumerable.Range(1, elementsCount).Select(c => c.ToString()))
{
probe.ExpectNext(i, TimeSpan.FromSeconds(10));
}
probe.Cancel();
}
public async Task Default_Decider_on_PlainSource_should_resume_on_KafkaException()
{
int elementsCount = 10;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
var sourceTask = ProduceStrings(new TopicPartition(topic1, 0), Enumerable.Range(1, elementsCount), ProducerSettings);
await GuardWithTimeoutAsync(sourceTask, TimeSpan.FromSeconds(3));
var settings = CreateConsumerSettings <Null, string>(group1).WithAutoCreateTopicsEnabled(false);
// Stage produce Error with ErrorCode.Local_UnknownPartition because we're trying to subscribe to partition 5, which does not exist.
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(new TopicPartition(topic1, 5)))
.Select(c => c.Value)
.RunWith(this.SinkProbe <string>(), Materializer);
probe.Request(elementsCount);
probe.ExpectNoMsg(TimeSpan.FromSeconds(1));
probe.Cancel();
}
public async Task PlainSource_should_resume_on_deserialization_errors()
{
Directive Decider(Exception cause) => cause is SerializationException
? Directive.Resume
: Directive.Stop;
int elementsCount = 10;
var topic1 = CreateTopic(1);
var group1 = CreateGroup(1);
await ProduceStrings(new TopicPartition(topic1, 0), Enumerable.Range(1, elementsCount), ProducerSettings);
var settings = CreateConsumerSettings <int>(group1).WithValueDeserializer(Deserializers.Int32);
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(Decider))
.Select(c => c.Value)
.RunWith(this.SinkProbe <int>(), Materializer);
probe.Request(elementsCount);
probe.ExpectNoMsg(TimeSpan.FromSeconds(10));
probe.Cancel();
}
public async Task Directive_Restart_on_failed_Consumer_should_restart_Consumer()
{
var topic = CreateTopic(1);
var group = CreateGroup(1);
var topicPartition = new TopicPartition(topic, 0);
var serializationCallCount = 0;
var callCount = 0;
Directive Decider(Exception cause)
{
callCount++;
if (cause is ConsumeException ce && ce.Error.IsSerializationError())
{
serializationCallCount++;
return(Directive.Restart);
}
return(Directive.Stop);
}
var serializer = new Serializer <int>(BitConverter.GetBytes);
var producerSettings = ProducerSettings <Null, int>
.Create(Sys, null, serializer)
.WithBootstrapServers(Fixture.KafkaServer);
await Source.From(Enumerable.Range(1, 10))
.Select(elem => new ProducerRecord <Null, int>(topicPartition, elem))
.RunWith(KafkaProducer.PlainSink(producerSettings), Materializer);
// Exception is injected once using the FailOnceDeserializer
var deserializer = new FailOnceDeserializer <int>(5, data => BitConverter.ToInt32(data.Span));
var consumerSettings = ConsumerSettings <Null, int> .Create(Sys, null, deserializer)
.WithBootstrapServers(Fixture.KafkaServer)
.WithStopTimeout(TimeSpan.FromSeconds(1))
.WithProperty("auto.offset.reset", "earliest")
.WithGroupId(group);
var(_, probe) = KafkaConsumer
.PlainSource(consumerSettings, Subscriptions.Assignment(topicPartition))
.WithAttributes(ActorAttributes.CreateSupervisionStrategy(Decider))
.Select(c => c.Message.Value)
.ToMaterialized(this.SinkProbe <int>(), Keep.Both)
.Run(Materializer);
probe.Request(20);
var pulled = new List <int>();
for (var i = 0; i < 14; i++)
{
var msg = probe.ExpectNext();
pulled.Add(msg);
}
probe.ExpectNoMsg(TimeSpan.FromSeconds(2));
probe.Cancel();
pulled.Should().BeEquivalentTo(new[] { 1, 2, 3, 4, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 }, opt => opt.WithStrictOrdering());
// Decider should be called twice, because deciders are called in BaseSingleSourceLogic and KafkaConsumerActor
callCount.Should().Be(2);
serializationCallCount.Should().Be(2);
}
public async Task AtMostOnceSource_Should_stop_consuming_actor_when_used_with_Take()
{
var topic = CreateTopic(1);
var group = CreateGroup(1);
await ProduceStrings(new TopicPartition(topic, 0), Enumerable.Range(1, 10), ProducerSettings);
var(control, result) = KafkaConsumer.AtMostOnceSource(CreateConsumerSettings <string>(group), Subscriptions.Assignment(new TopicPartition(topic, 0)))
.Select(m => m.Value)
.Take(5)
.ToMaterialized(Sink.Seq <string>(), Keep.Both)
.Run(Materializer);
AwaitCondition(() => control.IsShutdown.IsCompletedSuccessfully, TimeSpan.FromSeconds(10));
result.Result.Should().BeEquivalentTo(Enumerable.Range(1, 5).Select(i => i.ToString()));
}
public async Task ExternalPlainSource_verify_consuming_actor_pause_resume_partitions_works_fine()
{
var topic = CreateTopic(1);
var group = CreateGroup(1);
// Create consumer actor
var consumer = Sys.ActorOf(KafkaConsumerActorMetadata.GetProps(CreateConsumerSettings <string>(group)));
// Send one message per each partition
await ProduceStrings(new TopicPartition(topic, 0), Enumerable.Range(1, 100), ProducerSettings);
await ProduceStrings(new TopicPartition(topic, 1), Enumerable.Range(1, 100), ProducerSettings);
// Subscribe to partitions
var(control1, probe1) = CreateExternalPlainSourceProbe <string>(consumer, Subscriptions.Assignment(new TopicPartition(topic, 0)));
var(control2, probe2) = CreateExternalPlainSourceProbe <string>(consumer, Subscriptions.Assignment(new TopicPartition(topic, 1)));
var probes = new[] { probe1, probe2 };
// All partitions resumed
probes.ForEach(p => p.Request(1));
probes.ForEach(p => p.ExpectNext(TimeSpan.FromSeconds(10)));
await Task.Delay(1000); // All partitions become paused when now demand
// Make resumed and second paused
probe1.Request(1);
probe1.ExpectNext(TimeSpan.FromSeconds(10));
await Task.Delay(1000); // All partitions become paused when now demand
// Make second resumed and first paused
probe2.Request(1);
probe2.ExpectNext(TimeSpan.FromSeconds(10));
await Task.Delay(1000); // All partitions become paused when now demand
// All partitions resumed back
probes.ForEach(p => p.Request(1));
probes.ForEach(p => p.ExpectNext(TimeSpan.FromSeconds(10)));
// Stop and check gracefull shutdown
probes.ForEach(p => p.Cancel());
AwaitCondition(() => control1.IsShutdown.IsCompletedSuccessfully && control2.IsShutdown.IsCompletedSuccessfully);
// Cleanup
consumer.Tell(KafkaConsumerActorMetadata.Internal.Stop.Instance, ActorRefs.NoSender);
}
public async Task ExternalPlainSource_with_external_consumer_Should_work()
{
var elementsCount = 10;
var topic = CreateTopic(1);
var group = CreateGroup(1);
//Consumer is represented by actor
var consumer = Sys.ActorOf(KafkaConsumerActorMetadata.GetProps(CreateConsumerSettings <string>(group)));
//Manually assign topic partition to it
var(control1, probe1) = CreateExternalPlainSourceProbe <string>(consumer, Subscriptions.Assignment(new TopicPartition(topic, 0)));
var(control2, probe2) = CreateExternalPlainSourceProbe <string>(consumer, Subscriptions.Assignment(new TopicPartition(topic, 1)));
// Produce messages to partitions
await ProduceStrings(new TopicPartition(topic, new Partition(0)), Enumerable.Range(1, elementsCount), ProducerSettings);
await ProduceStrings(new TopicPartition(topic, new Partition(1)), Enumerable.Range(1, elementsCount), ProducerSettings);
// Request for produced messages and consume them
probe1.Request(elementsCount);
probe2.Request(elementsCount);
probe1.Within(TimeSpan.FromSeconds(10), () => probe1.ExpectNextN(elementsCount));
probe2.Within(TimeSpan.FromSeconds(10), () => probe2.ExpectNextN(elementsCount));
// Stop stages
probe1.Cancel();
probe2.Cancel();
// Make sure stages are stopped gracefully
AwaitCondition(() => control1.IsShutdown.IsCompletedSuccessfully && control2.IsShutdown.IsCompletedSuccessfully);
// Cleanup
consumer.Tell(KafkaConsumerActorMetadata.Internal.Stop.Instance, ActorRefs.NoSender);
}
public async Task CommitableSource_resume_from_commited_offset()
{
var topic1 = CreateTopic(1);
var topicPartition1 = new TopicPartition(topic1, 0);
var group1 = CreateGroup(1);
var group2 = CreateGroup(2);
await GivenInitializedTopic(topicPartition1);
await Source
.From(Enumerable.Range(1, 100))
.Select(elem => new ProducerRecord <Null, string>(topicPartition1, elem.ToString()))
.RunWith(KafkaProducer.PlainSink(ProducerSettings), Materializer);
var consumerSettings = CreateConsumerSettings <string>(group1);
var committedElements = new ConcurrentQueue <string>();
var(task, probe1) = KafkaConsumer.CommittableSource(consumerSettings, Subscriptions.Assignment(topicPartition1))
.WhereNot(c => c.Record.Value == InitialMsg)
.SelectAsync(10, async elem =>
{
await elem.CommitableOffset.Commit();
committedElements.Enqueue(elem.Record.Value);
return(Done.Instance);
})
.ToMaterialized(this.SinkProbe <Done>(), Keep.Both)
.Run(Materializer);
probe1.Request(25);
foreach (var _ in Enumerable.Range(1, 25))
{
probe1.ExpectNext(Done.Instance, TimeSpan.FromSeconds(10));
}
probe1.Cancel();
AwaitCondition(() => task.IsShutdown.IsCompletedSuccessfully);
var probe2 = KafkaConsumer.CommittableSource(consumerSettings, Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.Select(_ => _.Record.Value)
.RunWith(this.SinkProbe <string>(), Materializer);
// Note that due to buffers and SelectAsync(10) the committed offset is more
// than 26, and that is not wrong
// some concurrent publish
await Source
.From(Enumerable.Range(101, 100))
.Select(elem => new ProducerRecord <Null, string>(topicPartition1, elem.ToString()))
.RunWith(KafkaProducer.PlainSink(ProducerSettings), Materializer);
probe2.Request(100);
foreach (var i in Enumerable.Range(committedElements.Count + 1, 100).Select(c => c.ToString()))
{
probe2.ExpectNext(i, TimeSpan.FromSeconds(10));
}
probe2.Cancel();
// another consumer should see all
var probe3 = KafkaConsumer.CommittableSource(consumerSettings.WithGroupId(group2), Subscriptions.Assignment(new TopicPartition(topic1, 0)))
.WhereNot(c => c.Record.Value == InitialMsg)
.Select(_ => _.Record.Value)
.RunWith(this.SinkProbe <string>(), Materializer);
probe3.Request(100);
foreach (var i in Enumerable.Range(1, 100).Select(c => c.ToString()))
{
probe3.ExpectNext(i, TimeSpan.FromSeconds(10));
}
probe3.Cancel();
}
public async Task SupervisionStrategy_Decider_on_complex_stream_should_work()
{
var topic = CreateTopic(1);
var group = CreateGroup(1);
var topicPartition = new TopicPartition(topic, 0);
var committedTopicPartition = new TopicPartition($"{topic}-done", 0);
var callCount = 0;
Directive Decider(Exception cause)
{
callCount++;
return(Directive.Resume);
}
var committerSettings = CommitterSettings.Create(Sys);
var consumerSettings = CreateConsumerSettings <string>(group);
var counter = 0;
// arrange
await Source.From(Enumerable.Range(1, 10))
.Select(elem => new ProducerRecord <Null, string>(topicPartition, elem.ToString()))
.RunWith(KafkaProducer.PlainSink(ProducerSettings), Materializer);
// act
var drainingControl = KafkaConsumer.CommittableSource(consumerSettings, Subscriptions.Assignment(topicPartition))
.Via(Flow.Create <CommittableMessage <Null, string> >().Select(x =>
{
counter++;
// Exception happened here, fail once, when counter is 5
if (counter == 5)
{
throw new Exception("BOOM!");
}
return(x);
}))
.WithAttributes(Attributes.CreateName("CommitableSource").And(ActorAttributes.CreateSupervisionStrategy(Decider)))
.Select(c => (c.Record.Topic, c.Record.Message.Value, c.CommitableOffset))
.SelectAsync(1, async t =>
{
Log.Info($"[{t.Topic}]: {t.Value}");
// simulate a request-response call that takes 10ms to complete here
await Task.Delay(10);
return(t);
})
.Select(t => ProducerMessage.Single(new ProducerRecord <Null, string>(committedTopicPartition, t.Value),
t.CommitableOffset))
.Via(KafkaProducer.FlexiFlow <Null, string, ICommittableOffset>(ProducerSettings)).WithAttributes(Attributes.CreateName("FlexiFlow"))
.Select(m => (ICommittable)m.PassThrough)
.AlsoToMaterialized(Committer.Sink(committerSettings), DrainingControl <NotUsed> .Create)
.To(Flow.Create <ICommittable>()
.Async()
.GroupedWithin(1000, TimeSpan.FromSeconds(1))
.Select(c => c.Count())
.Log("MsgCount").AddAttributes(Attributes.CreateLogLevels(LogLevel.InfoLevel))
.To(Sink.Ignore <int>()))
.Run(Sys.Materializer());
await Task.Delay(TimeSpan.FromSeconds(5));
await GuardWithTimeoutAsync(drainingControl.DrainAndShutdown(), TimeSpan.FromSeconds(10));
// There should be only 1 decider call
callCount.Should().Be(1);
// Assert that all of the messages, except for those that failed in the stage, got committed
var settings = CreateConsumerSettings <Null, string>(group);
var probe = KafkaConsumer
.PlainSource(settings, Subscriptions.Assignment(committedTopicPartition))
.Select(c => c.Message.Value)
.RunWith(this.SinkProbe <string>(), Materializer);
probe.Request(9);
var messages = new List <string>();
for (var i = 0; i < 9; ++i)
{
var message = probe.RequestNext();
messages.Add(message);
}
// Message "5" is missing because the exception happened downstream of the source and we chose to
// ignore it in the decider
messages.Should().BeEquivalentTo(new[] { "1", "2", "3", "4", "6", "7", "8", "9", "10" });
probe.Cancel();
}