A service command typically needs to create/update/delete aggregates in the database and send messages/events to a message broker. For example, a service that participates in a saga needs to update business entities and send messages/events. Similarly, a service that publishes a domain event must update an aggregate and publish an event.
The command must atomically update the database and send messages in order to avoid data inconsistencies and bugs. However, it is not viable to use a traditional distributed transaction (2PC) that spans the database and the message broker The database and/or the message broker might not support 2PC. And even if they do, it’s often undesirable to couple the service to both the database and the message broker.
But without using 2PC, sending a message in the middle of a transaction is not reliable. There’s no guarantee that the transaction will commit. Similarly, if a service sends a message after committing the transaction there’s no guarantee that it won’t crash before sending the message.
In addition, messages must be sent to the message broker in the order they were sent by the service.
They must usually be delivered to each consumer in the same order although that’s outside the scope of this pattern.
For example, let’s suppose that an aggregate is updated by a series of transactions
This transactions might be performed by the same service instance or by different service instances.
Each transaction publishes a corresponding event:
T1 -> E1,
T2 -> E2, etc.
E1 must be published before
How to atomically update the database and send messages to a message broker?
The solution is for the service that sends the message to first store the message in the database as part of the transaction that updates the business entities. A separate process then sends the messages to the message broker.
The participants in this pattern are:
This pattern has the following benefits:
This pattern has the following drawbacks:
This pattern also has the following issues:
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