


Detailed introduction to a comprehensive summary of Java container related knowledge (picture)
Java PracticalClass Library provides a fairly complete set of containers to help us solve many specific problems. Because I am an Android developer myself, and many Android developers, including myself, are best at the Three Musketeers of ListView (RecycleView) + BaseAdapter + ArrayList. The only containers I usually use are ArrayList and HashMap. As a result, the understanding and use of the entire Java container system is still at a very shallow level. If you don't want to save yourself and think about improvements, then follow me to summarize the relevant knowledge of Java containers.
Structure
Java container classInheritanceStructure
Detailed introduction
List
Set
Queue
- ##Iteration Device
- Collection
- Map
- Some suggestions
- Advanced·Concurrent Container
- ConcurrentLinkedQueue
- ConcurrentHashMap and lock segmentation technology
- Blocking queue
- ##CopyOnWriteArrayList and Copy-On-Write Strategy
The Java container class library defines two containers with different concepts, Collection and Map
- ##Collection
- A sequence of independent elements, these elements are Obey one or more rules. List must hold elements in the order of insertion. Set cannot have duplicate elements. Queue determines the order in which (The Jdk source code version in the article is jdk1.8.0_101 without special instructions)
public interface Collection<E> extends Iterable<E> { int size(); boolean isEmpty(); boolean contains(Object o); Iterator<E> iterator(); Object[] toArray(); <T> T[] toArray(T[] a); boolean add(E e); boolean remove(Object o); boolean containsAll(java.util.Collection<?> c); boolean addAll(java.util.Collection<? extends E> c); boolean removeAll(java.util.Collection<?> c); ... //省略了其他方法 }
- Map
- A set of "key-value" objects that allow us to use the key to find the value. Map internal interface Entry
public interface Map<K,V> { int size(); boolean containsKey(Object key); boolean containsValue(Object value); V get(Object key); V put(K key, V value); V remove(Object key); void putAll(java.util.Map<? extends K, ? extends V> m); void clear(); Set<K> keySet(); Collection<V> values(); Set<java.util.Map.Entry<K, V>> entrySet(); interface Entry<K,V> { K getKey(); V getValue(); V setValue(V value); boolean equals(Object o); int hashCode(); ... } boolean equals(Object o); int hashCode(); }
Copy after logincorresponds to the key-value pair of Map.
. The original intention of the design is: there are many kinds of container implementations, and if we want to traverse the container, we should not care about the container implementation first. Details, secondly the traversal operation should be lightweight. Iterators unify access to containers and are cheap to create. It is worth noting that iterators can only move in one direction. public interface Iterator<E> {
boolean hasNext();
E next();
default void remove() {
throw new UnsupportedOperationException("remove");
}
default void forEachRemaining(Consumer<? super E> action) {
Objects.requireNonNull(action);
while (hasNext())
action.accept(next());
}
}
hasNext() determines whether there are still elementsListIterator is an extension of Iterator and is used for various List class accesses and supports two-way movement. CollectionListList promises to maintain elements in a specific sequence. The List interface adds a large number of methods based on Collection, making it possible to Insert and remove elements.remove() deletes the specified element
ListIterator
public interface List<E> extends Collection<E> {
...
boolean add(E e);
boolean remove(Object o);
boolean containsAll(Collection<?> c);
boolean addAll(Collection<? extends E> c);
boolean addAll(int index, Collection<? extends E> c);
boolean removeAll(Collection<?> c);
boolean retainAll(Collection<?> c);
E get(int index);
E set(int index, E element);
void add(int index, E element);
E remove(int index);
int indexOf(Object o);
int lastIndexOf(Object o);
java.util.List<E> subList(int fromIndex, int toIndex);
...
}
Copy after login
There are two types of List, ArrayList and LinkedListpublic interface List<E> extends Collection<E> { ... boolean add(E e); boolean remove(Object o); boolean containsAll(Collection<?> c); boolean addAll(Collection<? extends E> c); boolean addAll(int index, Collection<? extends E> c); boolean removeAll(Collection<?> c); boolean retainAll(Collection<?> c); E get(int index); E set(int index, E element); void add(int index, E element); E remove(int index); int indexOf(Object o); int lastIndexOf(Object o); java.util.List<E> subList(int fromIndex, int toIndex); ... }
Set does not save duplicate elements and is usually used for Find elements quickly. It is worth mentioning that Set has exactly the same interface as Collection without any additional features. The stored elements must define the equals() method
##Set type
HashSet | ||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TreeSet | To maintain order, elements must implement the Comparable interface | |||||||||||||||||||||||||||||||||||||
LinkedHashSet | HashSet to maintain order, elements must define hashCode () | |||||||||||||||||||||||||||||||||||||
Map类型 | 使用场景 | 底层实现 |
---|---|---|
HashMap | 快速查询 | 散列表 |
LinkedHashMap | 迭代遍历具有顺序(插入顺序 or 最近最少使用) | 链表 |
TreeMap | 具有排序,唯一可以返回子树的Map(subMap()) | 红-黑树结构 |
WeakHashMap | 弱键映射,映射之外无引用的键,可以被垃圾回收 | 散列表 |
ConcurrentHashMap | 线程安全的Map | 链表 |
IdentityHashMap | 使用==代替equals()对键进行排序,专位解决特殊问题 | 链表 |
We can manually adjust HashMap to adjust performance, involving concepts such as capacity, initial capacity, size, load factor, etc. If you are interested, you can read some relevant information.
Some suggestions
Don’t use outdated containers such as Vector Enumeration Hashtable Stack (yes, this is the original bad design of java. If you use the stack in practice, LinkedList is recommended)
Advanced·Concurrent Container
I will not discuss the detailed implementation here. I will only briefly introduce the basic knowledge. If you are interested, you can read "Java Concurrent Programming" Art" book.
CopyOnWriteArrayList and Copy-On-Write Strategy
Copy-On-Write, referred to as COW, is an optimization strategy used in programming. The basic idea is that everyone is sharing the same content from the beginning. When someone wants to modify the content, they will actually copy the content to form a new content and then modify it. This is a kind of delayed laziness. Strategy. Starting from JDK1.5, the Java concurrency package provides two concurrent containers implemented using the CopyOnWrite mechanism, which are CopyOnWriteArrayList and CopyOnWriteArraySet. The CopyOnWrite container is very useful and can be used in many concurrent scenarios.
The CopyOnWrite container is a container that is copied on write. The popular understanding is that when we add elements to a container, we do not add them directly to the current container, but first copy the current container to create a new container, and then add elements to the new container. After adding the elements, Then point the reference of the original container to the new container. The advantage of this is that we can perform concurrent reads on the CopyOnWrite container without locking, because the current container will not add any elements. Therefore, the CopyOnWrite container is also an idea of separation of reading and writing, and reading and writing are different containers.
The CopyOnWrite container can only guarantee the final consistency of the data, but cannot guarantee the real-time consistency of the data. So if you want the written data to be read immediately, please do not use the CopyOnWrite container.
ConcurrentLinkedQueue
In concurrent programming, sometimes you need to use a thread-safe queue or list. There are usually two ways to achieve thread safety, one is to use blocking algorithms, and the other is to use non-blocking algorithms. The basis of non-blocking algorithm implementation is loopCAS (Compare and Swipe comparison and exchange).
The technical implementation of ConcurrentLinkedQueue is similar to CopyOnWriteArrayList and Copy, but only part of the container content rather than the entire container can be copied and modified. ConcurrentLinkedQueue consists of head node and tail node. Each node consists of a node element (item) and a reference pointing to the next node (next). The nodes are associated through next to form a queue with a linked list structure.
ConcurrentHashMap and lock segmentation technology
ConcurrentHashMap is a thread-safe and efficient HashMap. In a multi-threaded environment, using a non-thread-safe HashMap will lead to an infinite loop, and as suggested in the article, outdated containers such as HashTable are inefficient (use synchronized to ensure thread safety). ConcurrentHashMap uses lock segmentation technology to greatly improve the efficiency of concurrent use.
Lock segmentation technology: Assume that the container has multiple locks, and each lock is used to lock a part of the data in the container. When multiple threads access different data segments of the container, there is no lock between threads. Competition to improve concurrent access efficiency.
Blocking Queue
JDK7 provides 7 blocking queues. The implementation principles are all based on the production-consumption mode waiting notification mechanism.
Blocking Queue Type | Features |
---|---|
Bounded blocking queue composed of array structure | |
Bounded blocking queue composed of linked list structure | |
Support | PrioritySorted unbounded blocking queue |
Unbounded blocking queue implemented using priority queue | |
A blocking queue that does not store elements | |
An unbounded blocking queue composed of a linked list structure | |
A two-way blocking queue composed of a linked list structure |
The above is the detailed content of Detailed introduction to a comprehensive summary of Java container related knowledge (picture). For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP is a scripting language widely used on the server side, especially suitable for web development. 1.PHP can embed HTML, process HTTP requests and responses, and supports a variety of databases. 2.PHP is used to generate dynamic web content, process form data, access databases, etc., with strong community support and open source resources. 3. PHP is an interpreted language, and the execution process includes lexical analysis, grammatical analysis, compilation and execution. 4.PHP can be combined with MySQL for advanced applications such as user registration systems. 5. When debugging PHP, you can use functions such as error_reporting() and var_dump(). 6. Optimize PHP code to use caching mechanisms, optimize database queries and use built-in functions. 7

Java 8 introduces the Stream API, providing a powerful and expressive way to process data collections. However, a common question when using Stream is: How to break or return from a forEach operation? Traditional loops allow for early interruption or return, but Stream's forEach method does not directly support this method. This article will explain the reasons and explore alternative methods for implementing premature termination in Stream processing systems. Further reading: Java Stream API improvements Understand Stream forEach The forEach method is a terminal operation that performs one operation on each element in the Stream. Its design intention is

PHP and Python each have their own advantages, and the choice should be based on project requirements. 1.PHP is suitable for web development, with simple syntax and high execution efficiency. 2. Python is suitable for data science and machine learning, with concise syntax and rich libraries.

PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.

PHP and Python each have their own advantages and are suitable for different scenarios. 1.PHP is suitable for web development and provides built-in web servers and rich function libraries. 2. Python is suitable for data science and machine learning, with concise syntax and a powerful standard library. When choosing, it should be decided based on project requirements.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

The reasons why PHP is the preferred technology stack for many websites include its ease of use, strong community support, and widespread use. 1) Easy to learn and use, suitable for beginners. 2) Have a huge developer community and rich resources. 3) Widely used in WordPress, Drupal and other platforms. 4) Integrate tightly with web servers to simplify development deployment.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.
