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Ilkka Seppälä authored and GitHub committed 2024-06-08 19:54:44 +03:00
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---
title: Event Sourcing
title: "Event Sourcing Pattern in Java: Building Immutable Historical Records for Robust Systems"
shortTitle: Event Sourcing
description: "Discover the Event Sourcing design pattern in Java. Learn how it stores state changes as events and benefits complex applications. See examples and explanations on Java Design Patterns."
category: Architectural
language: en
tag:
- Decoupling
- Event-driven
- Fault tolerance
- Messaging
- Persistence
- Scalability
- Transactions
- Decoupling
- Event-driven
- Fault tolerance
- Messaging
- Persistence
- Scalability
- Transactions
head:
- - meta
- name: keywords
content:
---
## Also known as
@@ -17,11 +23,11 @@ tag:
* Event Logging
* Event Streaming
## Intent
## Intent of Event Sourcing Design Pattern
Event Sourcing is a design pattern that advocates for the storage of state changes as a sequence of events. Instead of updating a record in a database, all changes are stored as individual events which, when replayed, can recreate the state of an application at any point in time.
## Explanation
## Detailed Explanation of Event Sourcing Pattern with Real-World Examples
Real-world example
@@ -35,7 +41,7 @@ In plain words
> The Event Sourcing pattern defines an approach to handling operations on data that's driven by a sequence of events, each of which is recorded in an append-only store. Application code sends a series of events that imperatively describe each action that has occurred on the data to the event store, where they're persisted. Each event represents a set of changes to the data (such as AddedItemToOrder).
**Programmatic Example**
## Programmatic Example of Event Sourcing Pattern in Java
In the programmatic example we transfer some money between bank accounts.
@@ -194,20 +200,20 @@ Running the example produces the following console output.
In this example, the state of the system can be recreated at any point by replaying the events in the queue. This is a key feature of the Event Sourcing pattern.
## Applicability
## When to Use the Event Sourcing Pattern in Java
* In systems where complete audit trails and historical changes are crucial.
* In complex domains where the state of an application is derived from a series of changes.
* For systems that benefit from high availability and scalability as Event Sourcing naturally lends itself to distributed systems.
## Known Uses
## Real-World Applications of Event Sourcing Pattern in Java
* Financial systems to track transactions and account balances over time.
* E-commerce applications for order and inventory management.
* Real-time data processing systems where event consistency and replayability are critical.
* [The LMAX Architecture](https://martinfowler.com/articles/lmax.html)
## Consequences
## Benefits and Trade-offs of Event Sourcing Pattern
Benefits:
@@ -215,18 +221,18 @@ Benefits:
* Replayability: Events can be reprocessed to recreate historical states or move to new states.
* Scalability: Events can be processed asynchronously and in parallel.
## Trade-offs
Trade-offs
* Complexity: Implementing and maintaining an event-sourced system can introduce additional complexity.
* Event store size: Storing every state change can lead to large data volumes.
* Event versioning: Changes in event structure over time require careful handling to ensure system integrity.
## Related Patterns
## Related Java Design Patterns
* [Command Query Responsibility Segregation (CQRS)](https://java-design-patterns.com/patterns/cqrs/): Often used together with Event Sourcing to separate read and write responsibilities, enhancing performance and scalability.
* Snapshot: Used to optimize Event Sourcing systems by periodically saving the current state to avoid replaying a long sequence of events.
## Credits
## References and Credits
* [Building Microservices: Designing Fine-Grained Systems](https://amzn.to/443WfiS)
* [Implementing Domain-Driven Design](https://amzn.to/3JgvA8V)