Java流分组求和是一种常见的数据处理任务,它可以帮助我们快速地对数据进行分组,并计算出每个分组的总和。它可以用于多种应用场景,例如财务分析、数据可视化、机器学习等。
Java 8中引入了流API,使得我们能够使用函数式编程来实现流分组求和。首先,我们需要将原始数据集转换为Stream对象:
List<Data> dataList = ...; // 原始数据集 Stream<Data> dataStream = dataList.stream(); // 转为Stream对象
然后,我们可以使用collectors.groupingBy()方法将Stream对象根据特定的字段进行分组:
Map<String, List<Data>> groupedData = dataStream.collect(Collectors.groupingBy(Data::getGroup));
最后,我们可以使用mapToLong()方法将分组后的数据映射为LongStream对象,并使用sum()方法来计算出所有分组的总和:
Map<String, Long> sumMap = groupedData.entrySet().stream() // 返回 Stream 对象 .collect(Collectors.toMap( // 返回 Map 对象 Map.Entry::getKey, e -> e.getValue().stream().mapToLong(Data::getValue).sum()));
上述代码中的sumMap就是所有分组的总和。通过使用Java 8中新引入的流API,我们能够快速地实现流分组求和功能。此外,Java 8中还引入了一些新特性来优化代码书写体验(例如Lambda表达式、Optional API、断言、时间/日期API 等)。因此,在Java 8之后开发者可以大大减少代码量并提升代码可读性。
Collectors类中的groupingBy()方法返回一个收集器,用于在将数据收集到Map之前对数据进行分组。 它类似于SQL中的“group by”子句。
groupingBy()方法是重载的,它有三个版本:
groupingBy(Function<? super T,? extends K> classifier) groupingBy(Function<? super T,? extends K> classifier, Collector<? super T,A,D> downstream) groupingBy(Function<? super T,? extends K> classifier, Supplier<M> mapFactory, Collector<? super T,A,D> downstream)
在前两个版本中,收集器负责为您创建Map对象。第三个版本允许我们指定一个用作工厂的Supplier来获取Map对象。
classifier
函数生成地图中的键。 collector
对与每个键相关联的值执行简化操作。
以下代码显示了如何按性别和计算每个组中的人数。
Collectors类的counting()方法返回要计数的Collector流中的元素数。
import java.time.LocalDate; import java.time.Month; import java.util.Arrays; import java.util.List; import java.util.Map; import java.util.stream.Collectors; public class Main { public static void main(String[] args) { Map<Employee.Gender, Long> countByGender = Employee.persons() .stream() .collect(Collectors.groupingBy(Employee::getGender, Collectors.counting())); System.out.println(countByGender); } } class Employee { public static enum Gender { MALE, FEMALE } private long id; private String name; private Gender gender; private LocalDate dob; private double income; public Employee(long id, String name, Gender gender, LocalDate dob, double income) { this.id = id; this.name = name; this.gender = gender; this.dob = dob; this.income = income; } public Gender getGender() { return gender; } public static List<Employee> persons() { Employee p1 = new Employee(1, "Jake", Gender.MALE, LocalDate.of(1971, Month.JANUARY, 1), 2343.0); Employee p2 = new Employee(2, "Jack", Gender.MALE, LocalDate.of(1972, Month.JULY, 21), 7100.0); Employee p3 = new Employee(3, "Jane", Gender.FEMALE, LocalDate.of(1973, Month.MAY, 29), 5455.0); Employee p4 = new Employee(4, "Jode", Gender.MALE, LocalDate.of(1974, Month.OCTOBER, 16), 1800.0); Employee p5 = new Employee(5, "Jeny", Gender.FEMALE, LocalDate.of(1975, Month.DECEMBER, 13), 1234.0); Employee p6 = new Employee(6, "Jason", Gender.MALE, LocalDate.of(1976, Month.JUNE, 9), 3211.0); List<Employee> persons = Arrays.asList(p1, p2, p3, p4, p5, p6); return persons; } }
上面的代码生成以下结果。
以下代码显示如何按性别对person的名称进行分组:
import java.time.LocalDate; import java.time.Month; import java.util.Arrays; import java.util.List; import java.util.Map; import java.util.stream.Collectors; public class Main { public static void main(String[] args) { Map<Employee.Gender, String> namesByGender = Employee.persons() .stream() .collect(Collectors.groupingBy(Employee::getGender, Collectors.mapping(Employee::getName, Collectors.joining(", ")))); System.out.println(namesByGender); } } class Employee { public static enum Gender { MALE, FEMALE } private long id; private String name; private Gender gender; private LocalDate dob; private double income; public Employee(long id, String name, Gender gender, LocalDate dob, double income) { this.id = id; this.name = name; this.gender = gender; this.dob = dob; this.income = income; } public String getName() { return name; } public Gender getGender() { return gender; } public static List<Employee> persons() { Employee p1 = new Employee(1, "Jake", Gender.MALE, LocalDate.of(1971, Month.JANUARY, 1), 2343.0); Employee p2 = new Employee(2, "Jack", Gender.MALE, LocalDate.of(1972, Month.JULY, 21), 7100.0); Employee p3 = new Employee(3, "Jane", Gender.FEMALE, LocalDate.of(1973, Month.MAY, 29), 5455.0); Employee p4 = new Employee(4, "Jode", Gender.MALE, LocalDate.of(1974, Month.OCTOBER, 16), 1800.0); Employee p5 = new Employee(5, "Jeny", Gender.FEMALE, LocalDate.of(1975, Month.DECEMBER, 13), 1234.0); Employee p6 = new Employee(6, "Jason", Gender.MALE, LocalDate.of(1976, Month.JUNE, 9), 3211.0); List<Employee> persons = Arrays.asList(p1, p2, p3, p4, p5, p6); return persons; } }
上面的代码生成以下结果。
以下代码显示了如何在列表中收集员工姓名。
import java.time.LocalDate; import java.time.Month; import java.util.Arrays; import java.util.List; import java.util.Map; import java.util.stream.Collectors; public class Main { public static void main(String[] args) { Map<Employee.Gender, List<String>> namesByGender = Employee.persons() .stream() .collect(Collectors.groupingBy(Employee::getGender, Collectors.mapping(Employee::getName, Collectors.toList()))); System.out.println(namesByGender); } } class Employee { public static enum Gender { MALE, FEMALE } private long id; private String name; private Gender gender; private LocalDate dob; private double income; public Employee(long id, String name, Gender gender, LocalDate dob, double income) { this.id = id; this.name = name; this.gender = gender; this.dob = dob; this.income = income; } public String getName() { return name; } public Gender getGender() { return gender; } public static List<Employee> persons() { Employee p1 = new Employee(1, "Jake", Gender.MALE, LocalDate.of(1971, Month.JANUARY, 1), 2343.0); Employee p2 = new Employee(2, "Jack", Gender.MALE, LocalDate.of(1972, Month.JULY, 21), 7100.0); Employee p3 = new Employee(3, "Jane", Gender.FEMALE, LocalDate.of(1973, Month.MAY, 29), 5455.0); Employee p4 = new Employee(4, "Jode", Gender.MALE, LocalDate.of(1974, Month.OCTOBER, 16), 1800.0); Employee p5 = new Employee(5, "Jeny", Gender.FEMALE, LocalDate.of(1975, Month.DECEMBER, 13), 1234.0); Employee p6 = new Employee(6, "Jason", Gender.MALE, LocalDate.of(1976, Month.JUNE, 9), 3211.0); List<Employee> persons = Arrays.asList(p1, p2, p3, p4, p5, p6); return persons; } }
上面的代码生成以下结果。
以下代码按性别分组人员。在每个性别组中,它创建另一个组他们出生的月份,并列出了在这个组出生的人的名字。
import java.time.LocalDate; import java.time.Month; import java.util.Arrays; import java.util.List; import java.util.Map; import java.util.stream.Collectors; public class Main { public static void main(String[] args) { Map personsByGenderAndDobMonth = Employee.persons() .stream() .collect(Collectors.groupingBy(Employee::getGender, Collectors.groupingBy(p -> p.getDob().getMonth(), Collectors.mapping(Employee::getName,Collectors.joining(", "))))); System.out.println(personsByGenderAndDobMonth); } } class Employee { public static enum Gender { MALE, FEMALE } private long id; private String name; private Gender gender; private LocalDate dob; private double income; public Employee(long id, String name, Gender gender, LocalDate dob, double income) { this.id = id; this.name = name; this.gender = gender; this.dob = dob; this.income = income; } public String getName() { return name; } public Gender getGender() { return gender; } public void setGender(Gender gender) { this.gender = gender; } public LocalDate getDob() { return dob; } public static List<Employee> persons() { Employee p1 = new Employee(1, "Jake", Gender.MALE, LocalDate.of(1971, Month.JANUARY, 1), 2343.0); Employee p2 = new Employee(2, "Jack", Gender.MALE, LocalDate.of(1972, Month.JULY, 21), 7100.0); Employee p3 = new Employee(3, "Jane", Gender.FEMALE, LocalDate.of(1973, Month.MAY, 29), 5455.0); Employee p4 = new Employee(4, "Jode", Gender.MALE, LocalDate.of(1974, Month.OCTOBER, 16), 1800.0); Employee p5 = new Employee(5, "Jeny", Gender.FEMALE, LocalDate.of(1975, Month.DECEMBER, 13), 1234.0); Employee p6 = new Employee(6, "Jason", Gender.MALE, LocalDate.of(1976, Month.JUNE, 9), 3211.0); List<Employee> persons = Arrays.asList(p1, p2, p3, p4, p5, p6); return persons; } }
上面的代码生成以下结果。
以下代码显示如何按性别分组汇总收入统计。
import java.time.LocalDate; import java.time.Month; import java.util.Arrays; import java.util.DoubleSummaryStatistics; import java.util.List; import java.util.Map; import java.util.stream.Collectors; public class Main { public static void main(String[] args) { Map<Employee.Gender, DoubleSummaryStatistics> incomeStatsByGender = Employee.persons() .stream() .collect(Collectors.groupingBy(Employee::getGender, Collectors.summarizingDouble(Employee::getIncome))); System.out.println(incomeStatsByGender); } } class Employee { public static enum Gender { MALE, FEMALE } private long id; private String name; private Gender gender; private LocalDate dob; private double income; public Employee(long id, String name, Gender gender, LocalDate dob, double income) { this.id = id; this.name = name; this.gender = gender; this.dob = dob; this.income = income; } public String getName() { return name; } public Gender getGender() { return gender; } public double getIncome() { return income; } public static List<Employee> persons() { Employee p1 = new Employee(1, "Jake", Gender.MALE, LocalDate.of(1971, Month.JANUARY, 1), 2343.0); Employee p2 = new Employee(2, "Jack", Gender.MALE, LocalDate.of(1972, Month.JULY, 21), 7100.0); Employee p3 = new Employee(3, "Jane", Gender.FEMALE, LocalDate.of(1973, Month.MAY, 29), 5455.0); Employee p4 = new Employee(4, "Jode", Gender.MALE, LocalDate.of(1974, Month.OCTOBER, 16), 1800.0); Employee p5 = new Employee(5, "Jeny", Gender.FEMALE, LocalDate.of(1975, Month.DECEMBER, 13), 1234.0); Employee p6 = new Employee(6, "Jason", Gender.MALE, LocalDate.of(1976, Month.JUNE, 9), 3211.0); List<Employee> persons = Arrays.asList(p1, p2, p3, p4, p5, p6); return persons; } }
上面的代码生成以下结果。
Java IO教程 -Java阅读器和写入器Java阅读器和写入器是基于字符的流。当我们要从数据源读取基于字符的数据时,使用读取器。当我...
Java IO教程 - Java路径Path 对象表示文件系统中文件,目录和符号链接的路径。 Path 是java.nio.file包中的一个接口。当我们创建...
Java IO教程 -Java Jar文件JAR文件格式JAR(Java Archive)是基于ZIP文件格式的文件格式。它用于捆绑Java应用程序或小程序的资源,...
Java IO教程 -Java I/O缓冲区什么是NIO?在NIO中,我们处理I/O操作的通道和缓冲区。像流一样的通道表示数据源/接收器和用于数据...