Tight coupling refers to the existence of a strong dependency between modules, such as the class directly instantiates another concrete class, resulting in multiple adjustments required to modify one place; loose coupling refers to reducing dependencies through interfaces, abstract classes, etc., improving flexibility and maintainability. 1. The tight coupling phenomenon includes directly instantiating specific classes, calling dependency specific implementations, and modifying to implicate multiple modules; 2. The loose coupling implementation methods include using interfaces or abstract classes, dependency injection, event-driven communication, and API calls to replace direct references; 3. Select based scenarios: tight coupling is suitable for small projects, performance-sensitive, and module-stable situations, and loose coupling is suitable for complex systems, team collaboration, and scenarios that require flexible expansion.
Tight coupling and loose coupling are two common concepts in software design, used to describe the tightness of dependencies between modules. Simply put, tight coupling means that one module has a strong dependence on another module, and changing one place can easily drive the whole body; while loose coupling means that the direct dependence between modules should be minimized and flexibility and maintainability can be improved .
What is tight coupling?
Tight coupling refers to the strong dependency between two or more modules. For example, a class directly creates and depends on another concrete class, rather than interacting through interfaces or abstractions. In this case, if one of the modules changes, it is likely to affect the other modules.
Let's give a simple example:
You have written an order processing system, and a payment class (WeChatPay) is directly new in the order class (Order). If you want to change to Alipay payment one day, you have to change the code in the Order class. This is typical tight coupling.
Common phenomena include:
- Directly instantiate specific classes
- Method call dependency implementation
- Modifying one place requires synchronous modification of multiple modules
What is loose coupling?
The goal of loose coupling is to make modules as independent as possible, usually decoupling through interfaces, abstract classes, or event mechanisms. In this way, even if a certain module changes, as long as the interface remains unchanged, other modules can be unaffected.
Continue with the above example: If you abstract the payment method into a Payment interface, and then let WeChatPay and Alipay implement this interface, and the Order only relies on the Payment interface, then you can switch the payment method without modifying the Order.
Common ways to achieve loose coupling:
- Use interfaces or abstract classes instead of concrete implementation
- Dependency Injection
- Event-driven or message queue communication
- API calls instead of direct references between modules
Tight coupling vs loose coupling: how to choose?
In fact, it is not a question of either one or the other, but depends on the scene. In order to develop quickly in the early stages, some projects may accept a certain degree of tight coupling; but if it is a system that is maintained for a long time, collaborated by multiple people, and iterated frequently, loose coupling is necessary.
Suitable for tight coupling:
- Small project, simple logic
- Extremely high performance requirements and cannot withstand additional abstract overhead
- The module will not change basically
Recommended loose coupling:
- Complex systems or large applications
- Multi-person team collaboration development
- Need to flexibly expand or replace modules
Basically that's it. The key to understanding these two concepts is to understand their impact on system maintainability and scalability. At first you may feel that loose coupling is a bit "walking", but once you get used to it, you will find that it will make the code clearer and easier to deal with changes.
The above is the detailed content of What is tight coupling vs loose coupling?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

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

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

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)

Java supports asynchronous programming including the use of CompletableFuture, responsive streams (such as ProjectReactor), and virtual threads in Java19. 1.CompletableFuture improves code readability and maintenance through chain calls, and supports task orchestration and exception handling; 2. ProjectReactor provides Mono and Flux types to implement responsive programming, with backpressure mechanism and rich operators; 3. Virtual threads reduce concurrency costs, are suitable for I/O-intensive tasks, and are lighter and easier to expand than traditional platform threads. Each method has applicable scenarios, and appropriate tools should be selected according to your needs and mixed models should be avoided to maintain simplicity

In Java, enums are suitable for representing fixed constant sets. Best practices include: 1. Use enum to represent fixed state or options to improve type safety and readability; 2. Add properties and methods to enums to enhance flexibility, such as defining fields, constructors, helper methods, etc.; 3. Use EnumMap and EnumSet to improve performance and type safety because they are more efficient based on arrays; 4. Avoid abuse of enums, such as dynamic values, frequent changes or complex logic scenarios, which should be replaced by other methods. Correct use of enum can improve code quality and reduce errors, but you need to pay attention to its applicable boundaries.

JavaNIO is a new IOAPI introduced by Java 1.4. 1) is aimed at buffers and channels, 2) contains Buffer, Channel and Selector core components, 3) supports non-blocking mode, and 4) handles concurrent connections more efficiently than traditional IO. Its advantages are reflected in: 1) Non-blocking IO reduces thread overhead, 2) Buffer improves data transmission efficiency, 3) Selector realizes multiplexing, and 4) Memory mapping speeds up file reading and writing. Note when using: 1) The flip/clear operation of the Buffer is easy to be confused, 2) Incomplete data needs to be processed manually without blocking, 3) Selector registration must be canceled in time, 4) NIO is not suitable for all scenarios.

Java's class loading mechanism is implemented through ClassLoader, and its core workflow is divided into three stages: loading, linking and initialization. During the loading phase, ClassLoader dynamically reads the bytecode of the class and creates Class objects; links include verifying the correctness of the class, allocating memory to static variables, and parsing symbol references; initialization performs static code blocks and static variable assignments. Class loading adopts the parent delegation model, and prioritizes the parent class loader to find classes, and try Bootstrap, Extension, and ApplicationClassLoader in turn to ensure that the core class library is safe and avoids duplicate loading. Developers can customize ClassLoader, such as URLClassL

HashMap implements key-value pair storage through hash tables in Java, and its core lies in quickly positioning data locations. 1. First use the hashCode() method of the key to generate a hash value and convert it into an array index through bit operations; 2. Different objects may generate the same hash value, resulting in conflicts. At this time, the node is mounted in the form of a linked list. After JDK8, the linked list is too long (default length 8) and it will be converted to a red and black tree to improve efficiency; 3. When using a custom class as a key, the equals() and hashCode() methods must be rewritten; 4. HashMap dynamically expands capacity. When the number of elements exceeds the capacity and multiplies by the load factor (default 0.75), expand and rehash; 5. HashMap is not thread-safe, and Concu should be used in multithreaded

Java enumerations not only represent constants, but can also encapsulate behavior, carry data, and implement interfaces. 1. Enumeration is a class used to define fixed instances, such as week and state, which is safer than strings or integers; 2. It can carry data and methods, such as passing values ??through constructors and providing access methods; 3. It can use switch to handle different logics, with clear structure; 4. It can implement interfaces or abstract methods to make differentiated behaviors of different enumeration values; 5. Pay attention to avoid abuse, hard-code comparison, dependence on ordinal values, and reasonably naming and serialization.

The key to handling exceptions in Java is to catch them, handle them clearly, and not cover up problems. First, we must catch specific exception types as needed, avoid general catches, and prioritize checkedexceptions. Runtime exceptions should be judged in advance; second, we must use the log framework to record exceptions, and retry, rollback or throw based on the type; third, we must use the finally block to release resources, and recommend try-with-resources; fourth, we must reasonably define custom exceptions, inherit RuntimeException or Exception, and carry context information for easy debugging.

Singleton design pattern in Java ensures that a class has only one instance and provides a global access point through private constructors and static methods, which is suitable for controlling access to shared resources. Implementation methods include: 1. Lazy loading, that is, the instance is created only when the first request is requested, which is suitable for situations where resource consumption is high and not necessarily required; 2. Thread-safe processing, ensuring that only one instance is created in a multi-threaded environment through synchronization methods or double check locking, and reducing performance impact; 3. Hungry loading, which directly initializes the instance during class loading, is suitable for lightweight objects or scenarios that can be initialized in advance; 4. Enumeration implementation, using Java enumeration to naturally support serialization, thread safety and prevent reflective attacks, is a recommended concise and reliable method. Different implementation methods can be selected according to specific needs
