Home >Java >javaTutorial >Should Variables Always Be Declared Outside Loops in Programming?
The commonly observed behavior where declaring a variable outside a loop seems to work raises questions about the necessity of external declaration. To delve into this issue, let's examine the two code examples:
String str;
while (condition) {
str = calculateStr(); ...
}
while (condition) {
String str = calculateStr(); ...
}
The first example, with its variable declared outside the loop, has been known to function without issues. However, the second example, where the variable is defined within the loop, has often been labeled as dangerous or incorrect. This prompts the question: is external declaration of variables necessary?
The answer to this question is an emphatic affirmation that variables should be declared with the smallest possible scope. To understand why, consider the example's scenario where str is presumably not utilized outside the loop. If it were, declaring it within the loop would not be feasible due to compilation errors.
Therefore, since str exists solely within the loop's context, the smallest possible scope for it resides within that loop. Hence, it should be declared accordingly.
The only possible exception to this rule would be in situations where maximizing performance is critical, down to the last clock cycle. In such cases, instantiating an object in an outer scope and reusing it instead of recreating it within each loop iteration might be considered.
However, in the example provided, this optimization is irrelevant due to the immutability of strings in Java. Every loop iteration will necessitate the creation and subsequent disposal of a new str instance, eliminating any potential optimization through external declaration.
In summary, declaring variables within the smallest possible scope is the correct practice. While squeezing out every clock cycle might be tempting for performance optimization, it's more judicious to focus on code quality and follow proper guidelines. Benchmarking can reveal areas for algorithmic optimizations, eliminating the need for extensive code tweaks and hacks.
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