Does use of final keyword in Java improve the performance?
Data Structures & Algorithms practice on Codemia
Step through 300 algorithm problems with animated visualisers that show the data structure changing as the code runs.
In Java, the final keyword is frequently discussed regarding its effects on performance. The final keyword can be applied to variables, methods, and classes. Understanding how and when the final keyword impacts performance requires a deeper look into Java's compilation and runtime optimizations.
Understanding the final Keyword
- Final Variables: When
finalis used with variables, it ensures that the variable is immutable after its initial assignment. This is particularly useful for defining constants. - Final Methods: Declaring a method as
finalprevents it from being overridden in any subclass. It is a way to enforce method behavior across an inheritance hierarchy. - Final Classes: When a class is marked as final, it cannot be subclassed. This is frequently used to ensure immutability or to secure a class against alterations through inheritance.
Impact on Performance
The common belief is that final could potentially enhance performance due to optimizations at the JVM level. Let's examine its impacts:
1. Inlining
One of the primary performance benefits comes from the possibility of inlining at the JIT (Just-In-Time) compilation stage. Inlining is a compiler optimization technique where the method call is replaced with the method body itself, saving the overhead of a method call.
- Final Methods: Since final methods cannot be overridden, the JVM can safely perform inlining because it knows this is the exact method that will be executed. In non-final methods, the JVM must check at runtime which method version needs to be called due to polymorphism.
2. Immutability
Final variables, especially those that are static and final (common for constants), allow certain compile-time and runtime optimizations:
- Constant Folding: If a final variable is a compile-time constant (
static finalwith an initializer that is a constant expression), the JVM can replace references to this variable with its value, avoiding runtime lookup.
Code Example
Consider a simple example to illustrate how final might assist in performance optimization:
Here, the cube method is final, which means it's a candidate for inlining by JIT compilers.
Experimental Evidence and Real-World Usage
Despite the theoretical benefits, experimental evidence shows that the performance impact of final is usually minimal. Modern JVMs like HotSpot are highly sophisticated and perform various runtime optimizations. They are adept at method inlining and prediction whether a method or variable is effectively final (i.e., not modified after initialization even if not explicitly declared as final).
Summary Table
| Aspect | Description | Impact on Performance |
| Final Variables | Allow constants to be inline substituted | Minor Impact |
| Final Methods | Facilitate method inlining | Minor Impact |
| Final Classes | Prevent subclassing | No Direct Impact |
Conclusion
The use of the final keyword in Java can influence performance, primarily through improved predictability which aids certain compiler optimizations like method inlining and constant folding. However, the actual performance gains in modern applications might not be substantial due to the advanced capabilities of modern JVMs. Instead of focusing on final for performance, it's often more beneficial to use it for design and immutability purposes to produce more maintainable and secure code.
Related reading
- Does using new on a struct allocate it on the heap or stack?
- does word2vec tutorial example imply potential sub-optimal implementation?
- Don't need some existed classes in pre-trained models
- Door in an infinite wall algorithm
- Does Weblogic support failover of session objects that are not marked as serializable?
- Double vs. BigDecimal?
- Double or float - optimization routines
- Double.TryParse or Convert.ToDouble - which is faster and safer?

DSA Fundamentals
Master algorithmic patterns and data structures through hands-on LeetCode-style problems - from arrays and hashing to dynamic programming and advanced graphs.
View the courseTrack what you have practised
A free account saves your progress, solutions and study plan across every problem on Codemia.
Data Structures & Algorithms practice on Codemia
Step through 300 algorithm problems with animated visualisers that show the data structure changing as the code runs.