Intermediate Topic 21 of 50 Software Engineering
Singleton Pattern
Ensuring a class has only one instance.
How it works
The singleton pattern ensures that a class has only one instance and provides a global access point to it. Implementations hide the constructor and expose a static method that creates the instance on first use, with care for thread safety using locks, double-checked locking, static initialization or an enum in Java. Typical singletons are configuration registries, loggers and connection pools.
Step-by-step walkthrough
- The class hides its constructor.
- A static getInstance method creates the object on first call.
- Later callers get the same instance.
- It suits a logger or configuration.
- It creates global state that makes testing harder, so use sparingly.
Where it is used
It is used when exactly one coordinator is needed, such as a shared logger or an application-wide cache, and many frameworks provide singleton scope through dependency injection instead of hand-written code.
Common pitfall
Singletons are global state in disguise: they hide dependencies, make unit testing hard, couple code tightly and cause problems in concurrent and distributed settings. Lazy initialization races can create two instances. Prefer passing the object in as a dependency, and let a container manage its lifetime when only one instance is needed.
Where it fits in the course
Singleton Pattern is topic 21 of 50 in Software Engineering, rated Intermediate. It follows Design Patterns. The next topic is Factory Pattern.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Software Engineering quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Software Engineering quiz, and revisit the topic if you miss a question.
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Related topics
- Design Patterns (Software Engineering)
- Factory Pattern (Software Engineering)
- DRY, KISS and YAGNI (Software Engineering)
- Observer Pattern (Software Engineering)
- Producer-Consumer Pattern (Concurrency & Parallelism)
- Saga Pattern (Distributed Systems & Cloud)
- Pattern Matching (Languages & Compilers)