In Java, the enhanced for-each loop (also known as the for-each loop) is a convenient way to iterate over collections and arrays. However, there are several alternatives to the enhanced for-each loop, each with its pros and cons. Here are the most common alternatives:
The traditional for loop provides more control over the iteration process, including the ability to change the index or skip elements. However, it requires more code and is less readable in some cases.
for (int i = 0; i < array.length; i++) {
System.out.println(array[i]);
}
The Iterator interface allows you to traverse through a collection while being able to remove elements safely during iteration. It's a bit more verbose than the enhanced for-each loop but provides a lot of flexibility.
Iterator iterator = collection.iterator();
while (iterator.hasNext()) {
Type element = iterator.next();
System.out.println(element);
// iterator.remove(); // Allows you to remove safely
}
The Streams API allows for functional-style programming and can be more efficient and cleaner for certain operations. It can replace the need for loops entirely in many cases.
collection.stream()
.forEach(element -> System.out.println(element));
The forEach method from the Collection interface provides a way to apply a lambda expression to each element in the collection.
collection.forEach(element -> System.out.println(element));
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?