摘要：陳楊一靜態工廠類實現方式一靜態工廠類實現方式靜態工廠類最終由實現通過實現通過實現底層由實現是的一種具化表現形式使用拼接字符串二靜態工廠類常用收集器二靜態工廠類常用收集器返回一個不可修改的按照相遇的順序返回一個不可修改的無序返回
/**
* @author 陳楊
*/
@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、靜態工廠類Collectors 實現方式
// 一、靜態工廠類Collectors 實現方式
// Collectors 靜態工廠類 最終由CollectorImpl實現
// 1、 通過CollectorImpl實現
// 2、 通過reducing()實現---> reducing()底層由CollectorImpl實現
// Collectors.toList() 是 Collectors.toCollection()的一種具化表現形式
// Collectors.joining() 使用StringBuilder.append 拼接字符串
二、靜態工廠類Collectors 常用收集器
// 二、靜態工廠類Collectors 常用收集器
/*
返回一個（不可修改）unmodifiable List的ArrayList 按照相遇的順序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);
}*/
/*
返回一個（不可修改）unmodifiable Set的HashSet 無序
@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);
}
*/
/*
返回一個flatMapping扁平化mapper處理后 由downstream收集的 累加器處理的結果合并 單線程
@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());
}*/
/*
對符合Predicate預期結果 進行過濾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
對映射后的結果進行組裝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 對相同key 映射后的進行Value 合并操作
對映射后的結果進行組裝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順序 進行添加操作
List unmodifiableList = names.stream().collect(Collectors.toUnmodifiableList());
System.out.println(unmodifiableList);
System.out.println("---------------------------------------
");
// 使用HashSet集合 對流中元素順序 進行添加操作
Set unmodifiableSet = names.stream().collect(Collectors.toUnmodifiableSet());
System.out.println(unmodifiableSet);
System.out.println("---------------------------------------
");
// 將集合扁平化展開 對其中的字符串的每個字母 進行大寫轉換 使用ArrayList對轉換后的結果進行收集
List strings = snames.stream()
.collect(Collectors.flatMapping(list -> list.stream().map(String::toUpperCase), Collectors.toList()));
System.out.println(strings);
System.out.println("---------------------------------------
");
// 對流中元素進行遍歷 對符合預期要求的元素 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("---------------------------------------
");
// 對流中元素進行遍歷 對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("---------------------------------------
");
// 對流中元素進行遍歷 對key-->keyMapper-->Key value-->valueMapper-->Value 映射
// 對滿足相同Key的元素 Value進行合并
Map lengthName = names.stream()
.collect(Collectors.toUnmodifiableMap(String::length,
String::toString, (str1, str2) -> str1 + " " + str2));
System.out.println(lengthName);
System.out.println("---------------------------------------
");
三、groupingBy分組
// 三、groupingBy分組
// 分組 groupingBy
// 對T元素按 key進行分組 --> 分組的依據 classifier--> 分組后的集合 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對T進行classifier分組
使用List集合收集分組結果 單線程 線程安全
public static Collector>>
groupingBy(Function classifier) {
return groupingBy(classifier, toList());
}*/
/*
按照key對T進行classifier分組
使用自定義收集器downstream 收集分組結果 單線程 線程安全
public static
Collector> groupingBy(Function classifier,
Collector downstream) {
return groupingBy(classifier, HashMap::new, downstream);
}*/
/*
按照key對T進行classifier分組
使用自定義mapFactory 重置downstream的CollectorImpl實現
使用自定義收集器downstream 收集分組結果 單線程 線程安全
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;
// 不進行強制類型轉換 重構CollectorImpl實現
if (downstream.characteristics().contains(Collector.Characteristics.IDENTITY_FINISH)) {
return new CollectorImpl<>(mangledFactory, accumulator, merger, CH_ID);
}
else {
// 進行強制類型轉換 重構CollectorImpl實現
@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);
}
}*/
// 分組
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("-----------------------------------------
");
// 嵌套分組 先根據sex分組 再對結果按照addr進行分組
Map>> NestedGroupBy = students.stream()
.collect(Collectors.groupingBy(Student::getSex, Collectors.groupingBy(Student::getAddr)));
System.out.println(NestedGroupBy);
System.out.println("-----------------------------------------
");
// 使用自定義收集器downstream 按性別分組 使用HashSet進行 結果收集
Map> sexHashSet = students.stream()
.collect(Collectors.groupingBy(Student::getSex, Collectors.toCollection(HashSet::new)));
System.out.println(sexHashSet);
System.out.println("-----------------------------------------
");
// 使用自定義收集器downstream 按性別分組 使用HashSet進行 結果收集 重置CollectorImpl實現
Map> sexCustomCollectorImpl = students.stream()
.collect(Collectors.groupingBy(Student::getSex, Hashtable::new, Collectors.toCollection(HashSet::new)));
System.out.println(sexCustomCollectorImpl);
System.out.println("-----------------------------------------
");
四、groupingByConcurrent分組
// 四、groupingByConcurrent分組
// 分組 groupingByConcurrent
// 流的適用條件：
// 無序 Collector.Characteristics.UNORDERED
// 并發 Collector.Characteristics.CONCURRENT
// This is a {@link Collector.Characteristics#CONCURRENT concurrent} and
// {@link Collector.Characteristics#UNORDERED unordered} Collector.
/*
按照key對T進行classifier分組
使用List集合收集分組結果
public static
Collector>>
groupingByConcurrent(Function classifier) {
return groupingByConcurrent(classifier, ::new, toList());
}*/
/*
按照key對T進行classifier分組
使用自定義收集器downstream 收集分組結果
public static
Collector> groupingByConcurrent(Function classifier,
Collector downstream) {
return groupingByConcurrent(classifier, ConcurrentHashMap::new, downstream);
}*/
/*
按照key對T進行classifier分組
使用自定義累加器mapFactory 重置downstream的CollectorImpl實現
使用自定義收集器downstream 收集分組結果
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());
// 多個操作-->同時操作同一個結果容器-->同一時間，有且只有一個進行實際操作-->線程同步
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);
}
}*/
// 分組 無序 并發
System.out.println("-----------------------------------------
");
// 按性別分組 使用ArrayList進行 結果收集
ConcurrentMap> sexStudentConcurrent = students.stream()
.collect(Collectors.groupingByConcurrent(Student::getSex));
System.out.println(sexStudentConcurrent);
System.out.println("-----------------------------------------
");
// 使用自定義收集器downstream 按性別分組 使用HashSet進行 結果收集
ConcurrentMap> sexHashSetConcurrent = students.stream()
.collect(Collectors.groupingByConcurrent(Student::getSex, Collectors.toCollection(HashSet::new)));
System.out.println(sexHashSetConcurrent);
System.out.println("-----------------------------------------
");
// 使用自定義收集器downstream 按性別分組 使用HashSet進行 結果收集 重置CollectorImpl實現
ConcurrentReferenceHashMap> sexCustomCollectorImplConcurrent =
students.stream().collect(Collectors.groupingByConcurrent(Student::getSex,
ConcurrentReferenceHashMap::new, Collectors.toCollection(HashSet::new)));
System.out.println(sexCustomCollectorImplConcurrent);
System.out.println("-----------------------------------------
");
五、partitioningBy分區
// 五、partitioningBy分區
// 分區 partitioningBy
/*
對滿足預期的條件 進行分區 使用ArrayList 進行結果的收集
public static
Collector>> partitioningBy(Predicate predicate) {
return partitioningBy(predicate, toList());
}*/
/*
對滿足預期的條件 進行分區 使用自定義收集器downstream 進行結果的收集
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);
}
}*/
// 分區
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("-----------------------------------------
");
// 嵌套分區 先根據sex分區 再對結果按照addr進行分區
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("-----------------------------------------
");
// 使用自定義downstream收集器分區
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、測試結果
. ____ _ __ _ _
/ / ___"_ __ _ _(_)_ __ __ _
( ( )\___ | "_ | "_| | "_ / _` |
/ ___)| |_)| | | | | || (_| | ) ) ) )
" |____| .__|_| |_|_| |_\__, | / / / /
=========|_|==============|___/=/_/_/_/
:: 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)]}
-----------------------------------------
