學了springcloud如何操作數據庫進行增刪改查,又學了springcloud如何操作reids把數據存儲到redis。今天結合數據庫操作和reids操作,來看看如何使用SpringCache。SpringCache提供了基於注解的緩存配置方法。它本質上不是一個具體的緩存實現方案(例如EHCache),而是一個對緩存使用的抽象和封裝,通過在已有代碼中打上幾個預定義的注釋,就可以實現希望達到的緩存效果。SpringCache支持跟第三方緩存例如EHCache、Redis集成;另外也提供了開箱即用的默認實現,可以直接拿來使用。SpringCache支持使用SpEL(Spring Expression Language)來定義緩存的key和各種condition,因此具備相當的靈活性,並可以支持非常復雜的語義。
1、 新建項目sc-redis-cache,對用的pom.xml文件如下
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>spring-cloud</groupId> <artifactId>sc-redis-cache</artifactId> <version>0.0.1-SNAPSHOT</version> <packaging>jar</packaging> <name>sc-redis-cache</name> <url>http://maven.apache.org</url> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.0.4.RELEASE</version> </parent> <dependencyManagement> <dependencies> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-dependencies</artifactId> <version>Finchley.RELEASE</version> <type>pom</type> <scope>import</scope> </dependency> </dependencies> </dependencyManagement> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <maven.compiler.source>1.8</maven.compiler.source> <maven.compiler.target>1.8</maven.compiler.target> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-pool2</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-cache</artifactId> </dependency> <dependency> <groupId>com.zaxxer</groupId> <artifactId>HikariCP</artifactId> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>6.0.3</version> </dependency> <dependency> <groupId>org.mybatis</groupId> <artifactId>mybatis-spring</artifactId> <version>1.3.2</version> </dependency> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>1.3.2</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> </dependencies> </project>
2、 新建springboot啟動類RedisCacheApplication.java
package sc.redis.cache; import org.mybatis.spring.annotation.MapperScan; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.cache.annotation.EnableCaching; /** * 更多資源關注公眾號: java樂園 * * @author Administrator * */ @SpringBootApplication @EnableCaching // 啟動緩存 @MapperScan(basePackages="sc.redis.cache.dao") public class RedisCacheApplication { public static void main(String[] args) { SpringApplication.run(RedisCacheApplication.class, args); } }
備注:@MapperScan(basePackages="sc.redis.cache.dao")該注解的basePackages一定是DAO所在包最終報名。
如果寫成@MapperScan(basePackages="sc.redis.cache ")這樣在測試中將報錯:
3、 新建配置文件application.yml
server: port: 9003 spring: application: name: sc-redis-cache datasource: driverClassName: com.mysql.jdbc.Driver url: jdbc:mysql://localhost:3306/sc?serverTimezone=UTC&useUnicode=true&characterEncoding=UTF-8 username: root password: root type: com.zaxxer.hikari.HikariDataSource hikari: minimum-idle: 5 maximum-pool-size: 15 auto-commit: true idle-timeout: 30000 pool-name: DatebookHikariCP max-lifetime: 1800000 connection-timeout: 30000 connection-test-query: SELECT 1 cache: type: REDIS redis: timeToLive: 200000 #緩存超時時間ms cache-null-values: false #是否緩存空值 redis: host: 127.0.0.1 password: port: 6379 timeout: 10000 # 連接超時時間(毫秒) database: 0 # Redis默認情況下有16個分片,這里配置具體使用的分片,默認是0 lettuce: pool: max-active: 8 # 連接池最大連接數(使用負值表示沒有限制) 默認 8 max-wait: -1 # 連接池最大阻塞等待時間(使用負值表示沒有限制) 默認 -1 max-idle: 8 # 連接池中的最大空閑連接 默認 8 min-idle: 0 # 連接池中的最小空閑連接 默認 0 logging: level: sc.redis.cache.dao: debug
備注:配置文件中有連接數據庫的配置信息和連接redis的配置信息,同時配置了打印sql語句的日志級別
4、 新建自定義reids序列化方式RedisCacheSerializeConfiguration.java類
package sc.redis.cache.config; import java.time.Duration; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.data.redis.cache.RedisCacheConfiguration; import org.springframework.data.redis.cache.RedisCacheManager; import org.springframework.data.redis.connection.RedisConnectionFactory; import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.RedisSerializationContext; import org.springframework.data.redis.serializer.RedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; @Configuration public class RedisCacheSerializeConfiguration { // /** // *二選一 // * 設置 redis 數據默認過期時間 設置@cacheable 序列化方式 // * // * @return // */ // @Bean // public RedisCacheConfiguration redisCacheConfiguration() { // RedisCacheConfiguration configuration = RedisCacheConfiguration.defaultCacheConfig(); // configuration = configuration.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(valueSerializer())) // .entryTtl(Duration.ofDays(30)); // configuration.serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(keySerializer())); // return configuration; // } /** * 二選一 * 設置 redis 數據默認過期時間 設置@cacheable 序列化方式 * * @param connectionFactory * @return */ @Bean public RedisCacheManager cacheManager(RedisConnectionFactory connectionFactory) { RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig().entryTtl(Duration.ofDays(30)) .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(keySerializer())) .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(valueSerializer())) .disableCachingNullValues(); RedisCacheManager redisCacheManager = RedisCacheManager.builder(connectionFactory).cacheDefaults(config) .transactionAware().build(); System.out.println("自定義RedisCacheManager加載完成"); return redisCacheManager; } private RedisSerializer<String> keySerializer() { return new StringRedisSerializer(); } private RedisSerializer<Object> valueSerializer() { return new GenericJackson2JsonRedisSerializer(); } } 5、 啟動相關類請參照源碼,目錄結構如下
6、 編寫單元測試類 package sc.redis.cache; import org.junit.Test; import org.junit.runner.RunWith; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.test.context.junit4.SpringRunner; import sc.redis.cache.model.User; import sc.redis.cache.service.UserService; @RunWith(SpringRunner.class) @SpringBootTest public class TestRedis { private static final Logger logger = LoggerFactory.getLogger(TestRedis.class); @Autowired private UserService userService; @Test public void add() { User u = new User(); u.setId(4L); u.setUserName("huangjinjin"); u.setPosition("cto"); u.setAge(24); userService.addUser(u); } @Test public void get() { User u =userService.getUser(4L); logger.debug("userName = "+ u.getUserName()); } }
7、 進行單元測試
運行add方法添加一條數據到數據庫:
日志:
第一次運行get方法:
日志:
使用redis-cli查看redis,數據已經插入緩存
第二次運行get方法:
日志:
發現沒有打印任何sql語句,說明數據是從redis獲取的,沒有去數據庫查詢數據。