What is event sourcing?
Last updated at 23 March 2018 | Published at 08 March 2018
Event sourcing is a way to model software where the emphasis is put on why (and how) things change, rather than focusing on the current state of the application. Actions performed on the system result in events, which are communicated throughout the system.
When event sourcing shines.
This style of programming especially fit for:
- Process modelling (finite flows, complex transitions and transactions).
- Cases where audit trails are of paramount importance.
How is it different?
Regular OOP-style modelling is closely modelled towards the data model. Our code reflects this data-centric view. When we model our domain we often start out by modelling the “things”. Actions performed on our model results in new state, which is then persisted to become the new state. When we test our code, we assert based on current application state.
Over time state is modified/created/removed in order to keep up with changes.
In event sourcing this concept is turned upside-down. The model is constructed using events that describe things that have happened in the past. In order to get to the current state, we need to replay all the events associated with a process or entity. These events give our model the information to base new decisions on. Actions dispatched to the model result in any number of new events raised. These events are used to communicate change throughout the system.
Event and Message Driven Programming
Event sourcing is a style of programming that builds off event- and rmessage-driven programming. In this style of programming the focus is put on communication. Because we’re primarily modelling using messages communicating change is very easy to facilitate.
The cost and trade-offs
Coming from data-centric modelling, event sourcing is a pretty big paradigm shifts. It is also not a cost-free solution. Like many things in our work-field, by introducing event sourcing into your application you’re trading one set of problems with another. You’re also implicitly opting out of some things. Querying the current state of the application must now be facilitated. In general event sourcing is a lot more verbose. You’ll also probably have to introduce a little more infrastructure to get up and running. In event sourcing you can minimize that initial investment but everything is a trade-off.
Event sourcing opens up an exciting amount of new possibilities. It’s easier to respond to change due to the message-based nature. You can create data-views specialized for certain cases, these are called “read models”. Background processing can be done more frequently if needed. Moving processes from the main request to the background is also a lot easier.