使用 Spring Cache 进行缓存
使用 Spring 的 `@Cacheable` 及相关注解实现缓存机制,从而缩短响应时间。
使用 Spring Cache 进行缓存 是 CoddyKit 上的免费 Spring Boot 4 Complete Guide 课时。 这是第 3 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Spring Boot 4 Complete Guide 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Spring Boot 4 Complete Guide 课程共包含 4 节课。
本课时的部分内容尚未翻译,以英文显示。
Boost Performance with Caching!
Imagine your app constantly fetching the same data from a slow database. This can make it sluggish! Caching is like having a super-fast shortcut for frequently accessed data.
Instead of going to the database every time, the app stores a copy of the data in a temporary, quick-access location (the cache). When the data is requested again, it checks the cache first.
- Faster Responses: Users get data quicker.
- Reduced Load: Less strain on your database or external services.
Spring Cache: Simplicity & Power
Spring Framework provides an amazing abstraction for caching. It simplifies integrating caching into your applications, so you don't have to write complex caching logic yourself.
With Spring Cache, you can use simple annotations to apply caching behavior to your methods. It supports various underlying cache providers like EhCache, Redis, or Caffeine, letting you swap them out easily without changing your code.
Getting Started: Add Dependencies
To use Spring's caching abstraction, you need to add the spring-boot-starter-cache dependency. This starter brings in Spring's caching infrastructure and a simple in-memory cache manager by default.
For a more robust in-memory cache, we'll also add Caffeine, a high-performance Java caching library.
pom.xml:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-cache</artifactId>
</dependency>
<dependency>
<groupId>com.github.ben-manes.caffeine</groupId>
<artifactId>caffeine</artifactId>
</dependency>Enable Caching & @Cacheable
First, you need to enable caching in your Spring Boot application by adding the @EnableCaching annotation to your main application class or a configuration class.
Then, the @Cacheable annotation is used on a method to indicate that its result should be cached. The first time the method is called, its result is stored. Subsequent calls with the same arguments will return the cached result without executing the method.
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cache.annotation.EnableCaching;
@SpringBootApplication
@EnableCaching // Enable caching for the app
public class CachingApp {
public static void main(String[] args) {
SpringApplication.run(CachingApp.class, args);
}
}@Cacheable in Action: Service Layer
Let's see @Cacheable on a service method. Notice the cacheNames attribute, which specifies the name of the cache where results will be stored (e.g., "products").
When getProductById is called, Spring checks the "products" cache. If a product with that ID is found, it's returned. Otherwise, the method executes (simulating a database call), and its result is cached.
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
// Imagine this is a simple data class
class Product {
private Long id;
private String name;
public Product(Long id, String name) {
this.id = id; this.name = name;
}
public Long getId() { return id; }
public String getName() { return name; }
@Override
public String toString() {
return "Product{" + id + ", " + name + "}";
}
}
@Service
public class ProductService {
@Cacheable(cacheNames = "products")
public Product getProductById(Long id) {
System.out.println(
"Fetching product " + id + " from DB...");
// Simulate a slow database call
try { Thread.sleep(1000); }
catch (InterruptedException e) {}
return new Product(id, "Product-" + id);
}
}
// Main Application (from previous scene)
// Add a runner to demonstrate
import org.springframework.boot.CommandLineRunner;
import org.springframework.context.annotation.Bean;
@SpringBootApplication
@EnableCaching
public class CachingApp {
public static void main(String[] args) {
SpringApplication.run(CachingApp.class, args);
}
@Bean
public CommandLineRunner run(ProductService service) {
return args -> {
System.out.println("First call:");
System.out.println(service.getProductById(1L));
System.out.println("Second call (cached):");
System.out.println(service.getProductById(1L));
System.out.println("Third call (new ID):");
System.out.println(service.getProductById(2L));
};
}
}Keep Your Cache Fresh with @CachePut
What if you update a product? The old version might still be in the cache! The @CachePut annotation is used to update the cache with the result of a method execution.
Unlike @Cacheable, @CachePut always executes the method and then places the result into the cache. This is perfect for update operations where you want the cache to reflect the latest data.
import org.springframework.cache.annotation.CachePut;
import org.springframework.stereotype.Service;
// Product and CachingApp classes as before
@Service
public class ProductService {
// ... getProductById as before ...
@CachePut(cacheNames = "products", key = "#product.id")
public Product updateProduct(Product product) {
System.out.println(
"Updating product " + product.getId() + " in DB...");
// Simulate DB update
try { Thread.sleep(500); }
catch (InterruptedException e) {}
return product; // Return updated product
}
}
// Main Application
import org.springframework.boot.CommandLineRunner;
import org.springframework.context.annotation.Bean;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cache.annotation.EnableCaching;
@SpringBootApplication
@EnableCaching
public class CachingApp {
public static void main(String[] args) {
SpringApplication.run(CachingApp.class, args);
}
@Bean
public CommandLineRunner run(ProductService service) {
return args -> {
System.out.println("--- @CachePut Demo ---");
Product p1 = service.getProductById(1L); // Cached
System.out.println("Fetched: " + p1);
Product updatedP1 = new Product(1L, "Updated Product 1");
service.updateProduct(updatedP1); // Updates cache
System.out.println("Updated: " + updatedP1);
Product p1AfterUpdate = service.getProductById(1L); // Fetches from updated cache
System.out.println("After update: " + p1AfterUpdate);
};
}
}
// Product class (same as before)
class Product {
private Long id;
private String name;
public Product(Long id, String name) {
this.id = id; this.name = name;
}
public Long getId() { return id; }
public String getName() { return name; }
public void setName(String name) { this.name = name; }
@Override
public String toString() {
return "Product{" + id + ", '" + name + "'}";
}
}Clearing Cache with @CacheEvict
When an item is deleted, you want to remove it from the cache so that no stale data is accidentally served. The @CacheEvict annotation is used for this.
allEntries = true: Clears all entries in the specified cache (e.g., "products").- Without
allEntries = true: Clears a specific entry based on the method's arguments (e.g., a specific product ID).
import org.springframework.cache.annotation.CacheEvict;
import org.springframework.stereotype.Service;
// Product and CachingApp classes as before
@Service
public class ProductService {
// ... getProductById and updateProduct as before ...
@CacheEvict(cacheNames = "products", key = "#id")
public void deleteProduct(Long id) {
System.out.println(
"Deleting product " + id + " from DB...");
// Simulate DB delete
try { Thread.sleep(500); }
catch (InterruptedException e) {}
}
@CacheEvict(cacheNames = "products", allEntries = true)
public void clearAllProductsCache() {
System.out.println("Clearing all products from cache...");
}
}
// Main Application
import org.springframework.boot.CommandLineRunner;
import org.springframework.context.annotation.Bean;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cache.annotation.EnableCaching;
@SpringBootApplication
@EnableCaching
public class CachingApp {
public static void main(String[] args) {
SpringApplication.run(CachingApp.class, args);
}
@Bean
public CommandLineRunner run(ProductService service) {
return args -> {
System.out.println("--- @CacheEvict Demo ---");
service.getProductById(1L); // Cache product 1
service.getProductById(2L); // Cache product 2
System.out.println("Before delete: " +
service.getProductById(1L));
service.deleteProduct(1L); // Evict product 1
System.out.println("After delete, calling product 1 again:");
service.getProductById(1L); // Will hit DB again
System.out.println("Clearing all cache entries...");
service.clearAllProductsCache();
System.out.println("Calling product 2 after full clear:");
service.getProductById(2L); // Will hit DB again
};
}
}
// Product class (same as before)
class Product {
private Long id;
private String name;
public Product(Long id, String name) {
this.id = id; this.name = name;
}
public Long getId() { return id; }
public String getName() { return name; }
public void setName(String name) { this.name = name; }
@Override
public String toString() {
return "Product{" + id + ", '" + name + "'}";
}
}Naming Caches & Custom Keys
Each caching annotation requires one or more cacheNames (or value) to specify which cache to use. Spring automatically generates cache keys based on method parameters by default.
However, you can customize the key using the key attribute, which accepts Spring Expression Language (SpEL). This gives you fine-grained control over how cached entries are identified.
key = "#id": Uses theidparameter as the cache key.key = "#product.id": Uses theidproperty of theproductobject.
Configuring a Cache Manager (Caffeine)
Spring Boot uses a simple in-memory cache manager by default. For more advanced features like time-based eviction or maximum size, you can configure a specific CacheManager.
Here's how to configure Caffeine, a popular high-performance in-memory cache, by creating a CaffeineCacheManager bean. We define a cache named "products" with a maximum size and expiration after write.
import com.github.benmanes.caffeine.cache.Caffeine;
import org.springframework.cache.CacheManager;
import org.springframework.cache.caffeine.CaffeineCacheManager;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import java.util.concurrent.TimeUnit;
@Configuration
public class CacheConfig {
@Bean
public CacheManager cacheManager() {
CaffeineCacheManager cacheManager =
new CaffeineCacheManager("products");
cacheManager.setCaffeine(caffeineBuilder());
return cacheManager;
}
Caffeine<Object, Object> caffeineBuilder() {
return Caffeine.newBuilder()
.initialCapacity(100)
.maximumSize(500)
.expireAfterWrite(10, TimeUnit.MINUTES)
.recordStats();
}
}Quick Check: Cache Annotations
You've learned about the core caching annotations in Spring. Let's test your understanding.
Caching Power-Up: Recap
You've successfully learned how to implement caching in your Spring Boot application to dramatically improve performance!
- Use
@EnableCachingto activate caching. @Cacheablecaches method results for faster reads.@CachePutupdates cache entries after method execution.@CacheEvictremoves entries from the cache.- Specify
cacheNamesand use SpEL for customkeygeneration. - Configure a custom
CacheManager(like Caffeine) for advanced control.
By intelligently using these annotations, you can reduce database load and provide a snappier experience for your users.
常见问题解答
「使用 Spring Cache 进行缓存」课时是免费的吗?
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「使用 Spring Cache 进行缓存」这节课中我会学到什么?
使用 Spring 的 `@Cacheable` 及相关注解实现缓存机制,从而缩短响应时间。 你通过在浏览器中直接运行的动手代码来练习 Spring Boot 4 Complete Guide,全天候 AI 导师会在你学习这节课的过程中回答你的问题。
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此课程中的所有课时
- 自定义 Spring Data 数据仓库
- 集成 NoSQL 数据库
- 使用 Spring Cache 进行缓存
- 使用 Flyway 进行数据库迁移