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Quomodo API Java Streamo uti ad operationes collectiones simpliciores?

Salve omnes, ego sum editor Weizhuang Taoke System 3.0, et sum etiam programmator qui non longas morigeras in hieme, sed tamen in frigoribus venustas esse habet!

Stream Javae API est nova conceptus abstractus in Java 8 introductus ad operationes functionis stili in objectis collectionibus. Collectio notitias processus nobis concedit in via pressiore et lectiore, inter eliquationem, mapping, percolationem, voluptua et alia opera.

Fluminis creatio et operationes praecipuae

Flumine API utendo, Fluvium variis modis creare possumus, sicut conversionem collectionem, conversionem ordinatam, etc. Hic sunt quaedam exempla operationis Fluminis fundamentalis;

package cn.juwatech.stream;

import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

public class StreamExample {

    public static void main(String[] args) {
        List<String> names = Arrays.asList("Alice", "Bob", "Charlie", "David", "Eva");

        // 筛选名字长度大于3的人，并转换为大写
        List<String> filteredNames = names.stream()
                .filter(name -> name.length() > 3)
                .map(String::toUpperCase)
                .collect(Collectors.toList());

        System.out.println("Filtered and transformed names: " + filteredNames);

        // 计算所有名字长度的总和
        int totalLength = names.stream()
                .mapToInt(String::length)
                .sum();

        System.out.println("Total length of all names: " + totalLength);

        // 判断集合中是否存在名字以'A'开头的
        boolean anyStartsWithA = names.stream()
                .anyMatch(name -> name.startsWith("A"));

        System.out.println("Any name starts with 'A'? " + anyStartsWithA);
    }
}
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Provectus operationes Fluminis

Praeter colum basicum, tabulam et operationes minuendas, Fluvius API etiam opes progressarum operationum praebet, ut genus, coetus, deduplicatio, etc. Hic sunt quaedam exempla progressarum operationum;

package cn.juwatech.stream;

import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

public class AdvancedStreamOperations {

    public static void main(String[] args) {
        List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);

        // 对数字进行平方映射，然后筛选出大于20的数字，并按降序排序
        List<Integer> result = numbers.stream()
                .map(n -> n * n)
                .filter(n -> n > 20)
                .sorted((a, b) -> b - a)
                .collect(Collectors.toList());

        System.out.println("Result after mapping, filtering, and sorting: " + result);

        // 将字符串列表拼接成一个字符串
        List<String> words = Arrays.asList("Java", "Stream", "API", "is", "awesome");

        String concatenatedString = words.stream()
                .collect(Collectors.joining(" "));

        System.out.println("Concatenated string: " + concatenatedString);
    }
}
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Operationes parallel Fluvius

Fluvius API etiam processus parallelos sustinet, qui signanter augere operandi efficientiam in multi-core CPUs potest.Hoc facere possumus appellandoparallel()Methodus sequentem rivum in parallelum rivum convertit.

List<String> names = Arrays.asList("Alice", "Bob", "Charlie", "David", "Eva");

// 并行处理：筛选名字长度大于3的人，并转换为大写
List<String> parallelFilteredNames = names.parallelStream()
        .filter(name -> name.length() > 3)
        .map(String::toUpperCase)
        .collect(Collectors.toList());

System.out.println("Parallel filtered and transformed names: " + parallelFilteredNames);
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conclusio

Per introductionem huius articuli, intelligentiam altissimam de usu fundamentali Javae Fluminis API eiusque functionibus provectis habemus. Fluvius API non solum simpliciorem reddere potest codicem operationis collectionis, sed etiam melioris codicis facultatem et conservabilitatem.

Productus ab editore Micro-commerce Taoke System 3.0, necesse est esse productum quale.