Classical Synchronization ProblemsThread-Safe Singleton & Double-Checked LockingMedium⏱️ ~2 min

What is the Thread-Safe Singleton Problem?

The Key Question
How do you ensure a class has exactly one instance when multiple threads might try to create it simultaneously?

Why Singleton Matters

Some resources should exist only once in your application. A database connection pool. A configuration manager. A logging service. Creating multiple instances wastes memory, causes inconsistency, or breaks the application entirely.

The Single-Threaded Solution Is Easy

Check if the instance exists. If not, create it. Return the instance. Simple. But this breaks spectacularly with multiple threads.

The Multi-Threaded Disaster

Thread A checks: instance is null. Thread B checks: instance is null. Both think they should create it. Both create it. Now you have two singletons. The whole point is defeated.

Race Condition in Naive Singleton
Thread AThread Bif (instance == null)if (instance == null)instance = new Singleton()instance = new Singleton()
Result: Two instances created!

Real-World Consequences

Connection pools: Two pools means twice the connections, potentially exhausting database limits. Caches: Data gets cached in one instance, reads miss in the other. Counters: Statistics become meaningless as updates split between instances.

The Challenge: Make singleton creation atomic without killing performance. You cannot lock every access - that is too slow. You cannot skip locking - that breaks correctness.
💡 Key Takeaways
Singleton pattern ensures exactly one instance exists. Thread-safety makes this work when multiple threads call getInstance() simultaneously.
The naive check-then-create pattern fails because the check and creation are not atomic. Two threads can both pass the null check.
Creating multiple singletons wastes resources and causes inconsistent state. A config manager with two instances returns different values.
The challenge is achieving thread-safety without sacrificing performance. Locking every call to getInstance() is correct but slow.
This problem appears in every language and framework. Database pools, loggers, caches, and service locators all face this challenge.
📌 Examples
1Database connection pool: Two pools created, each opens 10 connections. Database limit is 15. Application crashes when both pools try to use their connections.
2Configuration manager: Thread A gets instance 1, Thread B gets instance 2. A updates a setting, B never sees it. Debugging nightmare.
3Metrics counter: getInstance() called 1000 times during startup. Race condition creates 3 instances. Metrics split across them, totals are wrong.
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