Java 8 Streams：如何调用Collection.stream（）方法并检索具有不同字段的多个聚合值的数组 [英] Java 8 Streams: How to call once the Collection.stream() method and retrieve an array of several aggregate values with different fields
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问题描述
我从Java 8中的Stream API开始。
I'm starting with the Stream API in Java 8.
这是我使用的Person对象：
Here is my Person object I use:
public class Person {
private String firstName;
private String lastName;
private int age;
private double height;
private double weight;
public Person(String firstName, String lastName, int age, double height, double weight) {
this.firstName = firstName;
this.lastName = lastName;
this.age = age;
this.height = height;
this.weight = weight;
}
public String getFirstName() {
return firstName;
}
public String getLastName() {
return lastName;
}
public int getAge() {
return age;
}
public double getHeight() {
return height;
}
public double getWeight() {
return weight;
}
}
这是我的代码初始化a对象列表Person，它获取按特定名字过滤的对象数，最大年龄和最小高度，平均权重，最后创建一个包含这些值的对象数组：
Here is my code which initializes a list of objects Person and which gets the number of objects filtered by a specific firstname, the maximum age and the minimum height, the weight average, and finally create an array of objects containing these values:
List<Person> personsList = new ArrayList<Person>();
personsList.add(new Person("John", "Doe", 25, 1.80, 80));
personsList.add(new Person("Jane", "Doe", 30, 1.69, 60));
personsList.add(new Person("John", "Smith", 35, 174, 70));
long count = personsList.stream().filter(p -> p.getFirstName().equals("John")).count();
int maxAge = personsList.stream().mapToInt(Person::getAge).max().getAsInt();
double minHeight = personsList.stream().mapToDouble(Person::getHeight).min().getAsDouble();
double avgWeight = personsList.stream().mapToDouble(Person::getWeight).average().getAsDouble();
Object[] result = new Object[] { count, maxAge, minHeight, avgWeight };
System.out.println(Arrays.toString(result));
是否可以对流进行一次调用（）方法并直接返回对象数组？
Is it possible to do a single call to the stream() method and to return the array of objects directly ?
Object[] result = personsList.stream()...count()...max()...min()...average()
<之前我问过非常类似的问题： Java 8 Streams：如何调用Collection.stream（）方法并检索几个聚合值的数组但这次我不能使用 summaryStatistics（）方法，因为我使用不同的字段（年龄，身高，体重）来检索聚合值。
I asked very similar question previously: Java 8 Streams: How to call once the Collection.stream() method and retrieve an array of several aggregate values but this time I cannot use the summaryStatistics() method because I use different fields (age, height, weight) to retrieve the aggregate values.
编辑2016-01-07
我测试了 TriCore 和<$的解决方案c $ c> Tagir Valeev ，我计算了每个解决方案的运行时间。
I tested the solutions of TriCore and Tagir Valeev, and I computed the running time for each solution.
似乎 TriC ore 解决方案比 Tagir Valeev 更有效。
It seems that the TriCore solution is more efficient than Tagir Valeev.
与我的解决方案（使用多个Streams）相比，Tagir Valeev 的解决方案似乎没有节省太多时间。
Tagir Valeev's solution seems not save much time compared to my solution (using multiple Streams).
这是我的测试类：
public class StreamTest {
public static class Person {
private String firstName;
private String lastName;
private int age;
private double height;
private double weight;
public Person(String firstName, String lastName, int age, double height, double weight) {
this.firstName = firstName;
this.lastName = lastName;
this.age = age;
this.height = height;
this.weight = weight;
}
public String getFirstName() {
return firstName;
}
public String getLastName() {
return lastName;
}
public int getAge() {
return age;
}
public double getHeight() {
return height;
}
public double getWeight() {
return weight;
}
}
public static abstract class Process {
public void run() {
StopWatch timer = new StopWatch();
timer.start();
doRun();
timer.stop();
System.out.println(timer.getTime());
}
protected abstract void doRun();
}
public static void main(String[] args) {
List<Person> personsList = new ArrayList<Person>();
for (int i = 0; i < 1000000; i++) {
int age = random(15, 60);
double height = random(1.50, 2.00);
double weight = random(50.0, 100.0);
personsList.add(new Person(randomString(10, Mode.ALPHA), randomString(10, Mode.ALPHA), age, height, weight));
}
personsList.add(new Person("John", "Doe", 25, 1.80, 80));
personsList.add(new Person("Jane", "Doe", 30, 1.69, 60));
personsList.add(new Person("John", "Smith", 35, 174, 70));
personsList.add(new Person("John", "T", 45, 179, 99));
// Query with mutiple Streams
new Process() {
protected void doRun() {
queryJava8(personsList);
}
}.run();
// Query with 'TriCore' method
new Process() {
protected void doRun() {
queryJava8_1(personsList);
}
}.run();
// Query with 'Tagir Valeev' method
new Process() {
protected void doRun() {
queryJava8_2(personsList);
}
}.run();
}
// --------------------
// JAVA 8
// --------------------
private static void queryJava8(List<Person> personsList) {
long count = personsList.stream().filter(p -> p.getFirstName().equals("John")).count();
int maxAge = personsList.stream().mapToInt(Person::getAge).max().getAsInt();
double minHeight = personsList.stream().mapToDouble(Person::getHeight).min().getAsDouble();
double avgWeight = personsList.stream().mapToDouble(Person::getWeight).average().getAsDouble();
Object[] result = new Object[] { count, maxAge, minHeight, avgWeight };
System.out.println("Java8: " + Arrays.toString(result));
}
// --------------------
// JAVA 8_1 - TriCore
// --------------------
private static void queryJava8_1(List<Person> personsList) {
Object[] objects = personsList.stream().collect(Collector.of(() -> new PersonStatistics(p -> p.getFirstName().equals("John")),
PersonStatistics::accept, PersonStatistics::combine, PersonStatistics::toStatArray));
System.out.println("Java8_1: " + Arrays.toString(objects));
}
public static class PersonStatistics {
private long firstNameCounter;
private int maxAge = Integer.MIN_VALUE;
private double minHeight = Double.MAX_VALUE;
private double totalWeight;
private long total;
private final Predicate<Person> firstNameFilter;
public PersonStatistics(Predicate<Person> firstNameFilter) {
Objects.requireNonNull(firstNameFilter);
this.firstNameFilter = firstNameFilter;
}
public void accept(Person p) {
if (this.firstNameFilter.test(p)) {
firstNameCounter++;
}
this.maxAge = Math.max(p.getAge(), maxAge);
this.minHeight = Math.min(p.getHeight(), minHeight);
this.totalWeight += p.getWeight();
this.total++;
}
public PersonStatistics combine(PersonStatistics personStatistics) {
this.firstNameCounter += personStatistics.firstNameCounter;
this.maxAge = Math.max(personStatistics.maxAge, maxAge);
this.minHeight = Math.min(personStatistics.minHeight, minHeight);
this.totalWeight += personStatistics.totalWeight;
this.total += personStatistics.total;
return this;
}
public Object[] toStatArray() {
return new Object[] { firstNameCounter, maxAge, minHeight, total == 0 ? 0 : totalWeight / total };
}
}
// --------------------
// JAVA 8_2 - Tagir Valeev
// --------------------
private static void queryJava8_2(List<Person> personsList) {
// @formatter:off
Collector<Person, ?, Object[]> collector = multiCollector(
filtering(p -> p.getFirstName().equals("John"), Collectors.counting()),
Collectors.collectingAndThen(Collectors.mapping(Person::getAge, Collectors.maxBy(Comparator.naturalOrder())), Optional::get),
Collectors.collectingAndThen(Collectors.mapping(Person::getHeight, Collectors.minBy(Comparator.naturalOrder())), Optional::get),
Collectors.averagingDouble(Person::getWeight)
);
// @formatter:on
Object[] result = personsList.stream().collect(collector);
System.out.println("Java8_2: " + Arrays.toString(result));
}
/**
* Returns a collector which combines the results of supplied collectors
* into the Object[] array.
*/
@SafeVarargs
public static <T> Collector<T, ?, Object[]> multiCollector(Collector<T, ?, ?>... collectors) {
@SuppressWarnings("unchecked")
Collector<T, Object, Object>[] cs = (Collector<T, Object, Object>[]) collectors;
// @formatter:off
return Collector.<T, Object[], Object[]> of(
() -> Stream.of(cs).map(c -> c.supplier().get()).toArray(),
(acc, t) -> IntStream.range(0, acc.length).forEach(
idx -> cs[idx].accumulator().accept(acc[idx], t)),
(acc1, acc2) -> IntStream.range(0, acc1.length)
.mapToObj(idx -> cs[idx].combiner().apply(acc1[idx], acc2[idx])).toArray(),
acc -> IntStream.range(0, acc.length)
.mapToObj(idx -> cs[idx].finisher().apply(acc[idx])).toArray());
// @formatter:on
}
/**
* filtering() collector (which will be added in JDK-9, see JDK-8144675)
*/
public static <T, A, R> Collector<T, A, R> filtering(Predicate<? super T> filter, Collector<T, A, R> downstream) {
BiConsumer<A, T> accumulator = downstream.accumulator();
Set<Characteristics> characteristics = downstream.characteristics();
return Collector.of(downstream.supplier(), (acc, t) -> {
if (filter.test(t))
accumulator.accept(acc, t);
} , downstream.combiner(), downstream.finisher(), characteristics.toArray(new Collector.Characteristics[characteristics.size()]));
}
// --------------------
// HELPER METHODS
// --------------------
public static enum Mode {
ALPHA,
ALPHANUMERIC,
NUMERIC
}
private static String randomString(int length, Mode mode) {
StringBuffer buffer = new StringBuffer();
String characters = "";
switch (mode) {
case ALPHA:
characters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ";
break;
case ALPHANUMERIC:
characters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890";
break;
case NUMERIC:
characters = "1234567890";
break;
}
int charactersLength = characters.length();
for (int i = 0; i < length; i++) {
double index = Math.random() * charactersLength;
buffer.append(characters.charAt((int) index));
}
return buffer.toString();
}
private static int random(int min, int max) {
Random rand = new Random();
return rand.nextInt((max - min) + 1) + min;
}
private static double random(double min, double max) {
return min + Math.random() * (max - min);
}
}
推荐答案
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public class PersonStatistics {
private long firstNameCounter;
private int maxAge = Integer.MIN_VALUE;
private double minHeight = Double.MAX_VALUE;
private double totalWeight;
private long total;
private final Predicate<Person> firstNameFilter;
public PersonStatistics(Predicate<Person> firstNameFilter) {
Objects.requireNonNull(firstNameFilter);
this.firstNameFilter = firstNameFilter;
}
public void accept(Person p) {
if (this.firstNameFilter.test(p)) {
firstNameCounter++;
}
this.maxAge = Math.max(p.getAge(), maxAge);
this.minHeight = Math.min(p.getHeight(), minHeight);
this.totalWeight += p.getWeight();
this.total++;
}
public PersonStatistics combine(PersonStatistics personStatistics) {
this.firstNameCounter += personStatistics.firstNameCounter;
this.maxAge = Math.max(personStatistics.maxAge, maxAge);
this.minHeight = Math.min(personStatistics.minHeight, minHeight);
this.totalWeight += personStatistics.totalWeight;
this.total += personStatistics.total;
return this;
}
public Object[] toStatArray() {
return new Object[]{firstNameCounter, maxAge, minHeight, total == 0 ? 0 : totalWeight / total};
}
}
您可以按如下方式使用此收集器
You can use this collector as follows
public class PersonMain {
public static void main(String[] args) {
List<Person> personsList = new ArrayList<>();
personsList.add(new Person("John", "Doe", 25, 180, 80));
personsList.add(new Person("Jane", "Doe", 30, 169, 60));
personsList.add(new Person("John", "Smith", 35, 174, 70));
personsList.add(new Person("John", "T", 45, 179, 99));
Object[] objects = personsList.stream().collect(Collector.of(
() -> new PersonStatistics(p -> p.getFirstName().equals("John")),
PersonStatistics::accept,
PersonStatistics::combine,
PersonStatistics::toStatArray));
System.out.println(Arrays.toString(objects));
}
}
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