In below scenario, what would be the bahavior of Axon -
Command Bus recieved the command
It creates an event
However messaging infra is down (say kafka)
Does Axon has re-queing capability for event or any other alternative to handle this scenario.
If you're using Axon, you know it differentiates between Command, Event and Query messages. I'd suggest to be specific in your question which message type you want to retry.
However, I am going to make the assumption it's about events, as your stating Kafka.
If this is the case, I'd highly recommend reading the reference guide on the matter, as it states how you can uncouple Kafka publication from actual event storage in Axon.
Simply put, use a TrackingEventProcessor as the means to publish events on Kafka, as this will ensure a dedicate thread is used for publication instead of the same thread storing the event. Added, the TrackingEventProcessor can be replayed, thus "re-process" events.
Related
I stumbled over Handling duplicate messages using the Idempotent consumer pattern :
Similar, but slightly different is the Transactional Inbox Pattern which acknowledges the kafka message receipt after the transaction INSERT into messages (no business transaction) concluded successfully and having a background polling to detect new messages in this table and trigger the real business logic (i.e. the message listener) subsequently.
Now I wonder, if there is a Spring magic to just provide a special DataSource config to track all received messages and discard duplicated message deliveries?
Otherwise, the application itself would need to take care to ack the kafka message receipt, message state changes and data cleanup of the event table, retry after failure and probably a lot of other difficult things that I did not yet thought about.
The framework does not provide this out of the box (there is no general solution that will work for all), but you can implement it via a filter, to avoid putting this logic in your listener.
https://docs.spring.io/spring-kafka/docs/2.7.9/reference/html/#filtering-messages
I'm designing a system with multiple bounded contexts (microservices). I will have 2 kind of events.
Domain Events, which happens "in memory" within single transaction (sync)
Integration Events, which are used between bounded contexts (async)
My problem is, how to make sure that once transaction is committed (at this point I'm sure all Domain Events were processed successfully) that Integration Events are successful as well.
When my Transaction is committed, normally I will dispatch Integration Events (e.g. to the queue), but there is possibility that this queue is down as well, so previously just-committed transaction has to be "reverted". How?
The only solution that comes to my mind is to store Integration Events to the same DB, within the same Transaction, and then process the Integration Events records and push them to the queue - this would be something like "using current DB, as a pre-queue, before pushing it to The Real Queue (however I read that using DB for this is an anti-pattern).
Is there any pattern (reliable approach) to make sure both: Transaction commit and Message pushed to the queue is an atomic operation?
EDIT
After reading https://devblogs.microsoft.com/cesardelatorre/domain-events-vs-integration-events-in-domain-driven-design-and-microservices-architectures/ , the author actually suggests the approach of "pre-queue" in same DB (he calls it “ready to publish the event”).
Checkout transactional outbox pattern.
This pattern does create a pre-queue. But the nice part is that pushing messages from pre-queue to real queue is fully decoupled. Instead you have a middleman called, a message relay that reads your transaction logs and pushes your event from to the real queue. Now since sending message and your domain events are fully decoupled, you can do all your domain events in a single transaction.
And make sure you that all your services are idempontent(same result despite duplicate calls). This transactional outbox patter does guarantee that messages are published, but in case when the message relay fails just after publishing(before acknowledging) it would publish the same event again.
Idempotent services is also necessary in other scenarios. As the event bus(the real queue) could have the same issue. Event bus propagates events, services acknowledge, then network error, then since the event bus is not acknowledged, the same event would be sent again.
Hmm actually idempotence alone could solve the whole issue. After the domain events computation completes(single transaction), if publishing message fails the service can simply throw an error without roll back. Since the event is not acknowledged the event bus will send the same event again. Now since the service is idempotent, the same database transaction will not happen twice, it will basically overwrite or better(should) skip and directly move to message publishing and acknowledging.
I am looking at the AxonIQ framework and have managed to get a test application up and running. But I have a question about how EventHandlers should be treated when using a store that has persistence in the Read Model.
From my (possible naive) understanding. #EventHandler annotated methods in my Projection class get called from the beginning when first launched. This would mechanism seems to assume that the Projection utilises some kind of in volatile store (e.g. an in memory sql like h2) which is re-created from scratch during the application bootup.
However, if the store was persistent in something like Elastic Search, I would want the #EventHandler to resume from its last persisted event instead of from the beginning event.
Is there anyway to control the behaviour of the #EventHandler in this way?
Axon has two types of Event Processors: Subscribing and Tracking.
The Subscribing mode (which was the default up to Axon 3) will handle events in the thread that delivers them. That means you're at "the mercy" of the delivery guarantees of whichever component delivers the events.
The Tracking mode (which is the default since Axon 4 when using an Event Store or otherwise a source that supports it) will have events handled in dedicated threads, managed by the Event Processor itself. That means events are handled asynchronously from the actual publication mechanism.
The Tracking Event Processor uses Tokens to keep track of progress. These Tokens are stored in a TokenStore and updates as the Processor has correctly processed each incoming event (possibly batched). You decide where those tokens are stored. If you update a relational database, we recommend storing the tokens in the same database, so that event changes and tokens are updated atomically.
If you don't specify any TokenStore, it depends on whether you're on Spring Boot, in which case Axon will attempt to detect a suitable TokenStore implementation for you. Otherwise, it may very well just be an in-memory TokenStore, which causes Processors to re-initialize on every startup (and possibly start from the beginning).
To configure a TokenStore
On Spring (Boot), simply add a bean of type TokenStore with the implementation you want to use
When using Axon's Configuration API, on the EventProcessingConfigurer, use one of the registerTokenStore(...) methods.
When the Tracking Processor starts, it will check the Token Store for previous progress, and continue from there automatically.
I'm using Axon version (3.3) which seamlessly supports Kafka with annotation in the SpringBoot Main class using
#SpringBootApplication(exclude = KafkaAutoConfiguration.class)
In our use case, the command side microservice need to pick message from kafka topic rather than we expose it as Rest api. It will store the event in event store and then move it to another kafka topic for query side microservice to consume.
Since KafkaAutoCOnfiguration is disabled, I cannot use spring-kafka configuration to write a consumer. How can I consume a normal message in Axon?
I tried writing a normal Kafka spring Consumer but since Kafka Auto COnfiguration is disabled, initial trigger for the command is not picked up from the Kafka topic
I think I can help you out with this.
The Axon Kafka Extension is solely meant for Events.
Thus, it is not intended to dispatch Commands or Queries from one node to another.
This is very intentionally, as Event messages have different routing needs apposed to Command and Query messages.
Axon views Kafka a fine fit as an Event Bus and as such this is supported through the framework.
It is however not ideal for Command messages (should be routed to a single handler, always) or Query messages (can be routed to a single handler, several handlers or have a subscription model).
Thus, I you'd want to "abuse" Kafka for different types of messages in conjunction with Axon, you will have to write your own component/service for it.
I would however stick to the messaging paradigm and separate these concerns.
For far increasing simplicity when routing messages between Axon applications, I'd highly recommend trying out Axon Server.
Additionally, here you can hear/see Allard Buijze point out the different routing needs per message type (thus the reason why Axon's Kafka Extension only deals with Event messages).
Lets assume rebus could not publish message to rabbitmq or some other queue, what is the best practice to handle this exception.
I stopped rabbitmq service and rebus threw Aggregate exception. I can manually cacth this exception in try - catch block but is there a better solution to catch exceptions when such situations happened ?
First off: If you get an exception when initially sending/publishing a message (e.g. while handling a web request), there's nothing you can do, really. Sorry ;)
You should probably log - thoroughly - all the information you can, and then be sure to set up logging so that the information ends up in a file or in some other persistent log. And then you should have some kind of notification or a process in place that ensures that someone will at some point look at the log.
You should probably have this kind of logging in place, regardless of the type of work you do.
Depending on how important your information is, you could also set up some kind of retry mechanism (although you should be careful that you do not consume threads and too much memory while retrying). Also, since your web application should be able to be recycled at any time, you probably should not rely (too much) on retries.
You can do some things, though, in order to minimize the risk of ending up in a situation where you can't send/publish.
I can recommend that you use some kind of high-availability transport, like MSMQ (because it has local outgoing queues), RabbitMQ (with a shovel on each machine), or Azure Service Bus or Azure Storage Queues if you're in Azure.
Moreover - if you were using MSMQ, and you want to publish an event - I would recommend that you await bus.Send(theEvent) first, and then when you handle the message, you await bus.Publish(theEvent). This is because Rebus (with the MSMQ transport) needs to do a lookup in the subscription storage in order to get all subscribers for the given event. This is not a problem with RabbitMQ though, because Rebus will use Rabbit's topics to do pub/sub and will be just as safe as doing an ordinary send.
When you're sending/publishing from within a Rebus message handler, there is of course no problem, since the receive operation will be rolled back, and eventually the incoming message will end up in an error queue.
I hope that cast some light on the situation :)