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Streams in Java have a wide range of applications and are commonly used for data processing tasks. Some of the key applications of streams include:
filter
, distinct
, and limit
to extract elements that meet certain conditions.map
and flatMap
, which allow you to transform elements from one type to another or flatten nested structures.reduce
, sum
, average
, min
, and max
, which allow you to summarize and compute values based on the elements in the stream.Here's a simple example that demonstrates some of these applications:
javaCopy codeimport java.util.Arrays;
import java.util.List;
public class StreamApplications {
public static void main(String[] args) {
List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);
// Filtering even numbers and finding their sum
int sumOfEvenNumbers = numbers.stream()
.filter(n -> n % 2 == 0)
.reduce(0, Integer::sum);
System.out.println("Sum of even numbers: " + sumOfEvenNumbers);
// Transforming strings to uppercase
List<String> words = Arrays.asList("apple", "banana", "cherry");
List<String> uppercaseWords = words.stream()
.map(String::toUpperCase)
.toList();
System.out.println("Uppercase words: " + uppercaseWords);
}
}
Output:
yamlCopy codeSum of even numbers: 30
Uppercase words: [APPLE, BANANA, CHERRY]
In this example, we use streams to filter even numbers and calculate their sum. We also transform a list of strings to uppercase using the map
operation. These are just a few examples of how streams can be used for data processing tasks in Java. The flexibility and expressive nature of streams make them a valuable tool in many scenarios where data needs to be processed efficiently and concisely.
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