摘要：陈杨一静态工厂类实现方式一静态工厂类实现方式静态工厂类最终由实现通过实现通过实现底层由实现是的一种具化表现形式使用拼接字符串二静态工厂类常用收集器二静态工厂类常用收集器返回一个不可修改的按照相遇的顺序返回一个不可修改的无序返回
/**
* @author 陈杨
*/
@SpringBootTest
@RunWith(SpringRunner.class)
public class CollectorsDetail {
private List names;
private List students;
private List> snames;
@Before
public void init() {
names = Arrays.asList("Kirito", "Asuna", "Sinon", "Yuuki", "Alice");
snames = Arrays.asList(Collections.singletonList("Kirito"), Collections.singletonList("Asuna"),
Collections.singletonList("Sinon"), Collections.singletonList("Yuuki"),
Collections.singletonList("Alice"));
students = new Students().init();
}
@Test
public void testCollectorsDetail() {
一、静态工厂类Collectors 实现方式
// 一、静态工厂类Collectors 实现方式
// Collectors 静态工厂类 最终由CollectorImpl实现
// 1、 通过CollectorImpl实现
// 2、 通过reducing()实现---> reducing()底层由CollectorImpl实现
// Collectors.toList() 是 Collectors.toCollection()的一种具化表现形式
// Collectors.joining() 使用StringBuilder.append 拼接字符串
二、静态工厂类Collectors 常用收集器
// 二、静态工厂类Collectors 常用收集器
/*
返回一个（不可修改）unmodifiable List的ArrayList 按照相遇的顺序encounter order
@since 10
@SuppressWarnings("unchecked")
public static
Collector> toUnmodifiableList() {
return new CollectorImpl<>((Supplier>) ArrayList::new, List::add,
(left, right) -> { left.addAll(right); return left; },
list -> (List)List.of(list.toArray()),
CH_NOID);
}*/
/*
返回一个（不可修改）unmodifiable Set的HashSet 无序
@since 10
@SuppressWarnings("unchecked")
public static
Collector> toUnmodifiableSet() {
return new CollectorImpl<>((Supplier>) HashSet::new, Set::add,
(left, right) -> {
if (left.size() < right.size()) {
right.addAll(left); return right;
} else {
left.addAll(right); return left;
}
},
set -> (Set)Set.of(set.toArray()),
CH_UNORDERED_NOID);
}
*/
/*
返回一个flatMapping扁平化mapper处理后 由downstream收集的 累加器处理的结果合并 单线程
@since 9
public static
Collector flatMapping(Function> mapper,
Collector downstream) {
BiConsumer downstreamAccumulator = downstream.accumulator();
return new CollectorImpl<>(downstream.supplier(),
(r, t) -> {
try (Stream result = mapper.apply(t)) {
if (result != null)
result.sequential().forEach(u -> downstreamAccumulator.accept(r, u));
}
},
downstream.combiner(), downstream.finisher(),
downstream.characteristics());
}*/
/*
对符合Predicate预期结果 进行过滤filtering 使用downstream 收集元素
@since 9
public static
Collector filtering(Predicate predicate,
Collector downstream) {
BiConsumer downstreamAccumulator = downstream.accumulator();
return new CollectorImpl<>(downstream.supplier(),
(r, t) -> {
if (predicate.test(t)) {
downstreamAccumulator.accept(r, t);
}
},
downstream.combiner(), downstream.finisher(),
downstream.characteristics());
}*/
/*
使用Map映射key-->keyMapper-->Key value-->valueMapper-->Value
对映射后的结果进行组装entrySet-->Map (unmodifiable Map)
@since 10
@SuppressWarnings({"rawtypes", "unchecked"})
public static
Collector> toUnmodifiableMap(Function keyMapper,
Function valueMapper) {
Objects.requireNonNull(keyMapper, "keyMapper");
Objects.requireNonNull(valueMapper, "valueMapper");
return collectingAndThen(
toMap(keyMapper, valueMapper),
map -> (Map)Map.ofEntries(map.entrySet().toArray(new Map.Entry[0])));
}*/
/*
使用Map映射key-->keyMapper-->Key value-->valueMapper-->Value
mergeFunction 对相同key 映射后的进行Value 合并操作
对映射后的结果进行组装entrySet-->Map (unmodifiable Map)
@since 10
@SuppressWarnings({"rawtypes", "unchecked"})
public static
Collector> toUnmodifiableMap(Function keyMapper,
Function valueMapper,
BinaryOperator mergeFunction) {
Objects.requireNonNull(keyMapper, "keyMapper");
Objects.requireNonNull(valueMapper, "valueMapper");
Objects.requireNonNull(mergeFunction, "mergeFunction");
return collectingAndThen(
toMap(keyMapper, valueMapper, mergeFunction, HashMap::new),
map -> (Map)Map.ofEntries(map.entrySet().toArray(new Map.Entry[0])));
}*/
// Collectors 收集器
System.out.println("-----------------------------------------
");
// 使用ArrayList集合 按照流中元素排列先后顺序 进行添加操作
List unmodifiableList = names.stream().collect(Collectors.toUnmodifiableList());
System.out.println(unmodifiableList);
System.out.println("---------------------------------------
");
// 使用HashSet集合 对流中元素顺序 进行添加操作
Set unmodifiableSet = names.stream().collect(Collectors.toUnmodifiableSet());
System.out.println(unmodifiableSet);
System.out.println("---------------------------------------
");
// 将集合扁平化展开 对其中的字符串的每个字母 进行大写转换 使用ArrayList对转换后的结果进行收集
List strings = snames.stream()
.collect(Collectors.flatMapping(list -> list.stream().map(String::toUpperCase), Collectors.toList()));
System.out.println(strings);
System.out.println("---------------------------------------
");
// 对流中元素进行遍历 对符合预期要求的元素 使用ArrayList集合存放
List filteringPredicate = names.stream().collect(Collectors.filtering("Kirito"::equals,
Collectors.toList()));
System.out.println(filteringPredicate);
System.out.println("---------------------------------------
");
// 对流中元素进行遍历 对key-->keyMapper value-->valueMapper 映射 得到Map集合
Map> listMap = students.stream()
.collect(Collectors.toUnmodifiableMap(Student::getId, student -> {
List stus = new ArrayList<>();
stus.add(student);
return stus;
}));
System.out.println(listMap);
System.out.println("---------------------------------------
");
// 对流中元素进行遍历 对key-->keyMapper-->Key value-->valueMapper-->Value 映射
// 对满足相同Key的元素 Value进行合并
Map lengthName = names.stream()
.collect(Collectors.toUnmodifiableMap(String::length,
String::toString, (str1, str2) -> str1 + " " + str2));
System.out.println(lengthName);
System.out.println("---------------------------------------
");
三、groupingBy分组
// 三、groupingBy分组
// 分组 groupingBy
// 对T元素按 key进行分组 --> 分组的依据 classifier--> 分组后的集合 value--> 得到 Map
/*
Returns a {@code Collector} implementing a "group by" operation on
input elements of type {@code T}, grouping elements according to a
classification function, and returning the results in a {@code Map}.
The classification function maps elements to some key type {@code K}.
The collector produces a {@code Map>} whose keys are the
values resulting from applying the classification function to the input
elements, and whose corresponding values are {@code List}s containing the
input elements which map to the associated key under the classification
function.
There are no guarantees on the type, mutability, serializability, or
thread-safety of the {@code Map} or {@code List} objects returned.*/
/*
按照key对T进行classifier分组
使用List集合收集分组结果 单线程 线程安全
public static Collector>>
groupingBy(Function classifier) {
return groupingBy(classifier, toList());
}*/
/*
按照key对T进行classifier分组
使用自定义收集器downstream 收集分组结果 单线程 线程安全
public static
Collector> groupingBy(Function classifier,
Collector downstream) {
return groupingBy(classifier, HashMap::new, downstream);
}*/
/*
按照key对T进行classifier分组
使用自定义mapFactory 重置downstream的CollectorImpl实现
使用自定义收集器downstream 收集分组结果 单线程 线程安全
public static >
Collector groupingBy(Function classifier,
Supplier mapFactory,
Collector downstream) {
Supplier downstreamSupplier = downstream.supplier();
BiConsumer downstreamAccumulator = downstream.accumulator();
BiConsumer, T> accumulator = (m, t) -> {
K key = Objects.requireNonNull(classifier.apply(t), "element cannot be mapped to a null key");
A container = m.computeIfAbsent(key, k -> downstreamSupplier.get());
downstreamAccumulator.accept(container, t);
};
BinaryOperator> merger = Collectors.>mapMerger(downstream.combiner());
@SuppressWarnings("unchecked")
Supplier> mangledFactory = (Supplier>) mapFactory;
// 不进行强制类型转换 重构CollectorImpl实现
if (downstream.characteristics().contains(Collector.Characteristics.IDENTITY_FINISH)) {
return new CollectorImpl<>(mangledFactory, accumulator, merger, CH_ID);
}
else {
// 进行强制类型转换 重构CollectorImpl实现
@SuppressWarnings("unchecked")
Function downstreamFinisher = (Function) downstream.finisher();
Function, M> finisher = intermediate -> {
intermediate.replaceAll((k, v) -> downstreamFinisher.apply(v));
@SuppressWarnings("unchecked")
M castResult = (M) intermediate;
return castResult;
};
return new CollectorImpl<>(mangledFactory, accumulator, merger, finisher, CH_NOID);
}
}*/
// 分组
System.out.println("-----------------------------------------
");
// select * from students group by sex ;
Map> sexStudent =
students.stream().collect(Collectors.groupingBy(Student::getSex));
System.out.println(sexStudent);
System.out.println("-----------------------------------------
");
// select sex, count(*) from students group by sex ;
Map sexCount =
students.stream().collect(Collectors.groupingBy(Student::getSex, Collectors.counting()));
System.out.println(sexCount);
System.out.println("-----------------------------------------
");
// select sex,avg(salary) from students group by sex ;
Map avgSexSalary = students.stream().collect
(Collectors.groupingBy(Student::getSex, Collectors.averagingDouble(Student::getSalary)));
System.out.println(avgSexSalary);
System.out.println("-----------------------------------------
");
// 嵌套分组 先根据sex分组 再对结果按照addr进行分组
Map>> NestedGroupBy = students.stream()
.collect(Collectors.groupingBy(Student::getSex, Collectors.groupingBy(Student::getAddr)));
System.out.println(NestedGroupBy);
System.out.println("-----------------------------------------
");
// 使用自定义收集器downstream 按性别分组 使用HashSet进行 结果收集
Map> sexHashSet = students.stream()
.collect(Collectors.groupingBy(Student::getSex, Collectors.toCollection(HashSet::new)));
System.out.println(sexHashSet);
System.out.println("-----------------------------------------
");
// 使用自定义收集器downstream 按性别分组 使用HashSet进行 结果收集 重置CollectorImpl实现
Map> sexCustomCollectorImpl = students.stream()
.collect(Collectors.groupingBy(Student::getSex, Hashtable::new, Collectors.toCollection(HashSet::new)));
System.out.println(sexCustomCollectorImpl);
System.out.println("-----------------------------------------
");
四、groupingByConcurrent分组
// 四、groupingByConcurrent分组
// 分组 groupingByConcurrent
// 流的适用条件：
// 无序 Collector.Characteristics.UNORDERED
// 并发 Collector.Characteristics.CONCURRENT
// This is a {@link Collector.Characteristics#CONCURRENT concurrent} and
// {@link Collector.Characteristics#UNORDERED unordered} Collector.
/*
按照key对T进行classifier分组
使用List集合收集分组结果
public static
Collector>>
groupingByConcurrent(Function classifier) {
return groupingByConcurrent(classifier, ::new, toList());
}*/
/*
按照key对T进行classifier分组
使用自定义收集器downstream 收集分组结果
public static
Collector> groupingByConcurrent(Function classifier,
Collector downstream) {
return groupingByConcurrent(classifier, ConcurrentHashMap::new, downstream);
}*/
/*
按照key对T进行classifier分组
使用自定义累加器mapFactory 重置downstream的CollectorImpl实现
使用自定义收集器downstream 收集分组结果
public static >
Collector groupingByConcurrent(Function classifier,
Supplier mapFactory,
Collector downstream) {
Supplier downstreamSupplier = downstream.supplier();
BiConsumer downstreamAccumulator = downstream.accumulator();
BinaryOperator> merger = Collectors.>mapMerger(downstream.combiner());
@SuppressWarnings("unchecked")
Supplier> mangledFactory = (Supplier>) mapFactory;
BiConsumer, T> accumulator;
if (downstream.characteristics().contains(Collector.Characteristics.CONCURRENT)) {
accumulator = (m, t) -> {
K key = Objects.requireNonNull(classifier.apply(t), "element cannot be mapped to a null key");
A resultContainer = m.computeIfAbsent(key, k -> downstreamSupplier.get());
downstreamAccumulator.accept(resultContainer, t);
};
}
else {
accumulator = (m, t) -> {
K key = Objects.requireNonNull(classifier.apply(t), "element cannot be mapped to a null key");
A resultContainer = m.computeIfAbsent(key, k -> downstreamSupplier.get());
// 多个操作-->同时操作同一个结果容器-->同一时间，有且只有一个进行实际操作-->线程同步
synchronized (resultContainer) {
downstreamAccumulator.accept(resultContainer, t);
}
};
}
if (downstream.characteristics().contains(Collector.Characteristics.IDENTITY_FINISH)) {
return new CollectorImpl<>(mangledFactory, accumulator, merger, CH_CONCURRENT_ID);
}
else {
@SuppressWarnings("unchecked")
Function downstreamFinisher = (Function) downstream.finisher();
Function, M> finisher = intermediate -> {
intermediate.replaceAll((k, v) -> downstreamFinisher.apply(v));
@SuppressWarnings("unchecked")
M castResult = (M) intermediate;
return castResult;
};
return new CollectorImpl<>(mangledFactory, accumulator, merger, finisher, CH_CONCURRENT_NOID);
}
}*/
// 分组 无序 并发
System.out.println("-----------------------------------------
");
// 按性别分组 使用ArrayList进行 结果收集
ConcurrentMap> sexStudentConcurrent = students.stream()
.collect(Collectors.groupingByConcurrent(Student::getSex));
System.out.println(sexStudentConcurrent);
System.out.println("-----------------------------------------
");
// 使用自定义收集器downstream 按性别分组 使用HashSet进行 结果收集
ConcurrentMap> sexHashSetConcurrent = students.stream()
.collect(Collectors.groupingByConcurrent(Student::getSex, Collectors.toCollection(HashSet::new)));
System.out.println(sexHashSetConcurrent);
System.out.println("-----------------------------------------
");
// 使用自定义收集器downstream 按性别分组 使用HashSet进行 结果收集 重置CollectorImpl实现
ConcurrentReferenceHashMap> sexCustomCollectorImplConcurrent =
students.stream().collect(Collectors.groupingByConcurrent(Student::getSex,
ConcurrentReferenceHashMap::new, Collectors.toCollection(HashSet::new)));
System.out.println(sexCustomCollectorImplConcurrent);
System.out.println("-----------------------------------------
");
五、partitioningBy分区
// 五、partitioningBy分区
// 分区 partitioningBy
/*
对满足预期的条件 进行分区 使用ArrayList 进行结果的收集
public static
Collector>> partitioningBy(Predicate predicate) {
return partitioningBy(predicate, toList());
}*/
/*
对满足预期的条件 进行分区 使用自定义收集器downstream 进行结果的收集
public static
Collector> partitioningBy(Predicate predicate,
Collector downstream) {
BiConsumer downstreamAccumulator = downstream.accumulator();
BiConsumer, T> accumulator = (result, t) ->
downstreamAccumulator.accept(predicate.test(t) ? result.forTrue : result.forFalse, t);
BinaryOperator op = downstream.combiner();
BinaryOperator> merger = (left, right) ->
new Partition<>(op.apply(left.forTrue, right.forTrue),
op.apply(left.forFalse, right.forFalse));
Supplier> supplier = () ->
new Partition<>(downstream.supplier().get(),
downstream.supplier().get());
if (downstream.characteristics().contains(Collector.Characteristics.IDENTITY_FINISH)) {
return new CollectorImpl<>(supplier, accumulator, merger, CH_ID);
}
else {
Function, Map> finisher = par ->
new Partition<>(downstream.finisher().apply(par.forTrue),
downstream.finisher().apply(par.forFalse));
return new CollectorImpl<>(supplier, accumulator, merger, finisher, CH_NOID);
}
}*/
// 分区
System.out.println("-----------------------------------------
");
// select * from students partition by (addr == Sword Art Online) ;
Map> addrPartition = students.stream().collect
(Collectors.partitioningBy(student -> student.getAddr().equals("Sword Art Online")));
System.out.println(addrPartition);
System.out.println("-----------------------------------------
");
// 嵌套分区 先根据sex分区 再对结果按照addr进行分区
Map>> NestedPartiton = students.stream()
.collect(Collectors.partitioningBy(student -> student.getSex().equals("Male"),
Collectors.partitioningBy(student -> student.getAddr().equals("Sword Art Online"))));
System.out.println(NestedPartiton);
System.out.println("-----------------------------------------
");
// 使用自定义downstream收集器分区
Map> addrCustomPartition = students.stream().collect(Collectors.partitioningBy
(student -> student.getAddr().equals("Sword Art Online"), Collectors.toCollection(HashSet::new)));
System.out.println(addrCustomPartition);
System.out.println("-----------------------------------------
");
}
}
六、测试结果
. ____ _ __ _ _
/ / ___"_ __ _ _(_)_ __ __ _
( ( )\___ | "_ | "_| | "_ / _` |
/ ___)| |_)| | | | | || (_| | ) ) ) )
" |____| .__|_| |_|_| |_\__, | / / / /
=========|_|==============|___/=/_/_/_/
:: Spring Boot :: (v2.1.2.RELEASE)
2019-02-20 16:58:15.870 INFO 13392 --- [ main] c.j.d.java8.Stream.CollectorsDetail : Starting CollectorsDetail on DESKTOP-87RMBG4 with PID 13392 (started by 46250 in E:IdeaProjectsdesign)
2019-02-20 16:58:15.871 INFO 13392 --- [ main] c.j.d.java8.Stream.CollectorsDetail : No active profile set, falling back to default profiles: default
2019-02-20 16:58:16.383 INFO 13392 --- [ main] c.j.d.java8.Stream.CollectorsDetail : Started CollectorsDetail in 0.708 seconds (JVM running for 1.421)
-----------------------------------------
[Kirito, Asuna, Sinon, Yuuki, Alice]
---------------------------------------
[Yuuki, Asuna, Kirito, Sinon, Alice]
---------------------------------------
[KIRITO, ASUNA, SINON, YUUKI, ALICE]
---------------------------------------
[Kirito]
---------------------------------------
{5=[Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], 4=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8)], 3=[Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8)], 2=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], 1=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
---------------------------------------
{6=Kirito, 5=Asuna Sinon Yuuki Alice}
---------------------------------------
-----------------------------------------
{Female=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------
{Female=4, Male=1}
-----------------------------------------
{Female=9.99999999E8, Male=9.99999999E8}
-----------------------------------------
{Female={Alicization=[Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], Sword Art Online=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], Gun Gale Online=[Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8)], Alfheim Online=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8)]}, Male={Sword Art Online=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}}
-----------------------------------------
{Female=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------
{Female=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------
-----------------------------------------
{Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)], Female=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)]}
-----------------------------------------
{Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)], Female=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------
{Female=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------
-----------------------------------------
{false=[Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], true=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------
{false={false=[Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], true=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)]}, true={false=[], true=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}}
-----------------------------------------
{false=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], true=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8), Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------
