Skillful and diligent assistants - beans - worked in the Spring workshop. Each of them was endowed with their own unique task: some created toys, some sorted candies, and some grew bright flowers.
To ensure that the work of the workshop was orderly and efficient, clear rules were established for bins - scopes. These rules determined how long beans could exist and how many instances of the same kind could be created at the same time. Thanks to these magical frameworks, the workshop worked smoothly and reliably.
Prototype: Hedgehog Baker
Every time someone orders a pie, the Hedgehog Baker creates a new pie with unique ingredients.
Hedgehog: "Everyone wants their own taste! That's why I create a fresh pie for every order."
@Component @Scope("prototype") public class Hedgehog { public void bakePie() { System.out.println("Пеку пирог!"); } }
This is how scope prototype works in Spring: each time a new object is requested, a unique instance of the bean is created. This is useful when you need isolated logic for each use.
For example:
The application has a bean that generates a report for each user:
@Component @Scope("prototype") public class ReportGenerator { public Report generate(String userData) { // Генерация уникального отчета return new Report(userData); } }
Each call to context.getBean(ReportGenerator.class) will create a new instance. This is convenient for processing unique data in multi-user systems.
Request: Carrot Bunny
The dispensing rabbit explains to his assistants:
"For every guest who comes to the clearing, I collect carrots. But as soon as the guest leaves, the basket returns to me."
@Component @Scope("prototype") public class Hedgehog { public void bakePie() { System.out.println("Пеку пирог!"); } }
Request scope in Spring means that one bean is created for each HTTP request. Once the request is completed, the bean is destroyed.
Usage example:
Imagine that in a web application you have a component to collect user data:
@Component @Scope("prototype") public class ReportGenerator { public Report generate(String userData) { // Генерация уникального отчета return new Report(userData); } }
Each user request is allocated a unique basket, which “l(fā)ives” only as part of processing the HTTP request. Once the request is completed, the bean is deleted, freeing memory.
Comparison of Prototype and Request in real development:
Prototype: Used for tasks that require unique instances on each call, such as testing, generating unique data, processing isolated tasks.
Request: Useful in web applications to provide data isolation between user requests. For example, a shopping cart, authentication data or temporary tokens.
Difference in approaches:
Prototype can be used in any context, including console applications.
Request is strictly bound to the web context because it depends on HTTP requests.
Singleton: Bob the Builder
Bob the Builder works in the forest and builds a dam for everyone. He says:
"I am alone, and I will build anything, no matter how many animals come to me!"
This means that we will always have the same instance of the object that all clients access. And every time the same Bob comes. He didn't need to be cloned or disappear. So he worked day after day.
@Component @Scope("prototype") public class Hedgehog { public void bakePie() { System.out.println("Пеку пирог!"); } }
Singleton is the default scope in Spring. One instance of the bean is created for the entire duration of the application. This bean is used when an object must be a shared resource among all application components.
Usage example:
Let's say you have a logging component:
@Component @Scope("prototype") public class ReportGenerator { public Report generate(String userData) { // Генерация уникального отчета return new Report(userData); } }
This bean is created once, and all application components use it to record logs. This is efficient and saves memory.
Application:
- Logging
- Working with a database through a connection pool
- Manage caches
Session: Honey Bear
The little bear cooks honey for every guest who comes to his house. He says:
"While you are visiting me, I take care of your honey pot. But as soon as you leave, your honey pot disappears."
@Component @Scope("request") public class Rabbit { public void giveCarrot() { System.out.println("Вот твоя морковка!"); } }
The session scope in Spring means that the bean exists as long as the user's HTTP session lasts.
Technical explanation:
This scope is used in web applications to bind an object to a specific user session. When the session ends, the bean is destroyed.
Usage example:
Imagine that you have a component to store user authorization data:
@Component @Scope(value = WebApplicationContext.SCOPE_REQUEST, proxyMode = ScopedProxyMode.TARGET_CLASS) public class UserCart { private List<Item> items = new ArrayList<>(); public void addItem(Item item) { items.add(item); } public List<Item> getItems() { return items; } }
This bean is created for each user for as long as their session lasts.
Application:
- Storing user data (for example, authorization, preferences)
- Session token management
Application: Filin Phil
Phil the owl tells fairy tales to all the forest dwellers every evening. He says:
"My fairy tale is the only one in the whole forest. Everyone comes to listen to me, and there is enough for everyone!"
@Component @Scope("prototype") public class Hedgehog { public void bakePie() { System.out.println("Пеку пирог!"); } }
Scope application means that the bean is created once for the entire application, but differs from singleton in that it is used only in the context of web applications.
This scope is similar to singleton, but is controlled by the web context. It is used for components that must be accessible throughout the application.
Usage example:
For example, a bean for storing global settings:
@Component @Scope("prototype") public class ReportGenerator { public Report generate(String userData) { // Генерация уникального отчета return new Report(userData); } }
This bean is created once and is available to everyone.
Application:
- Application configuration
- Global settings
- Data cache shared by all users
Comparison of all Spring scopes
Scope | Life cycle | Usage example | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
All the time the application is running | Logging, working with databases | ||||||||||||||||||
Prototype | New object on each call | Report generation, testing | ||||||||||||||||||
Request | One HTTP request | Shopping cart, temporary data | ||||||||||||||||||
Session | Entire HTTP user session | Authorization data, user settings | ||||||||||||||||||
Application | All the time the application is running | Global settings, application-level cache |
When to use what?
Singleton - for shared, non-changing resources.
Prototype - for isolated tasks, unique data.
Request - for temporary data within one request.
Session - for data that needs to be stored between requests of the same user.
Application - for global data that is used by all users.
The above is the detailed content of Magic scopes: How Spring organizes beans. 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)

Hot Topics

The difference between HashMap and Hashtable is mainly reflected in thread safety, null value support and performance. 1. In terms of thread safety, Hashtable is thread-safe, and its methods are mostly synchronous methods, while HashMap does not perform synchronization processing, which is not thread-safe; 2. In terms of null value support, HashMap allows one null key and multiple null values, while Hashtable does not allow null keys or values, otherwise a NullPointerException will be thrown; 3. In terms of performance, HashMap is more efficient because there is no synchronization mechanism, and Hashtable has a low locking performance for each operation. It is recommended to use ConcurrentHashMap instead.

Java uses wrapper classes because basic data types cannot directly participate in object-oriented operations, and object forms are often required in actual needs; 1. Collection classes can only store objects, such as Lists use automatic boxing to store numerical values; 2. Generics do not support basic types, and packaging classes must be used as type parameters; 3. Packaging classes can represent null values ??to distinguish unset or missing data; 4. Packaging classes provide practical methods such as string conversion to facilitate data parsing and processing, so in scenarios where these characteristics are needed, packaging classes are indispensable.

The JIT compiler optimizes code through four methods: method inline, hot spot detection and compilation, type speculation and devirtualization, and redundant operation elimination. 1. Method inline reduces call overhead and inserts frequently called small methods directly into the call; 2. Hot spot detection and high-frequency code execution and centrally optimize it to save resources; 3. Type speculation collects runtime type information to achieve devirtualization calls, improving efficiency; 4. Redundant operations eliminate useless calculations and inspections based on operational data deletion, enhancing performance.

StaticmethodsininterfaceswereintroducedinJava8toallowutilityfunctionswithintheinterfaceitself.BeforeJava8,suchfunctionsrequiredseparatehelperclasses,leadingtodisorganizedcode.Now,staticmethodsprovidethreekeybenefits:1)theyenableutilitymethodsdirectly

Instance initialization blocks are used in Java to run initialization logic when creating objects, which are executed before the constructor. It is suitable for scenarios where multiple constructors share initialization code, complex field initialization, or anonymous class initialization scenarios. Unlike static initialization blocks, it is executed every time it is instantiated, while static initialization blocks only run once when the class is loaded.

InJava,thefinalkeywordpreventsavariable’svaluefrombeingchangedafterassignment,butitsbehaviordiffersforprimitivesandobjectreferences.Forprimitivevariables,finalmakesthevalueconstant,asinfinalintMAX_SPEED=100;wherereassignmentcausesanerror.Forobjectref

Factory mode is used to encapsulate object creation logic, making the code more flexible, easy to maintain, and loosely coupled. The core answer is: by centrally managing object creation logic, hiding implementation details, and supporting the creation of multiple related objects. The specific description is as follows: the factory mode handes object creation to a special factory class or method for processing, avoiding the use of newClass() directly; it is suitable for scenarios where multiple types of related objects are created, creation logic may change, and implementation details need to be hidden; for example, in the payment processor, Stripe, PayPal and other instances are created through factories; its implementation includes the object returned by the factory class based on input parameters, and all objects realize a common interface; common variants include simple factories, factory methods and abstract factories, which are suitable for different complexities.

There are two types of conversion: implicit and explicit. 1. Implicit conversion occurs automatically, such as converting int to double; 2. Explicit conversion requires manual operation, such as using (int)myDouble. A case where type conversion is required includes processing user input, mathematical operations, or passing different types of values ??between functions. Issues that need to be noted are: turning floating-point numbers into integers will truncate the fractional part, turning large types into small types may lead to data loss, and some languages ??do not allow direct conversion of specific types. A proper understanding of language conversion rules helps avoid errors.
