在Spring Boot中添加spring-boot-starter-data-redis依賴:java
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency>
在application.properties中指定redis服務器IP、端口和密碼、鏈接數等:web
# Redis服務器地址 spring.redis.host=127.0.0.1 # Redis服務器鏈接端口 使用默認端口6379能夠省略配置 #spring.redis.port=6379 # Redis服務器鏈接密碼(默認爲空) #spring.redis.password= # 鏈接池最大鏈接數(若是配置<=0,則沒有限制 ) spring.redis.jedis.pool.max-active=8
StringRedisTemplate是Spring Boot內置的操做Redis的API實現類,另外還有一個API實現類是RedisTemplate。StringRedisTemplate的API假定全部的數據類型化都是字符類型,即key和value都是字符串類型,對於常見額SpringBoot應用系統,使用字符串操做也已經足夠了,並且能方便的經過客戶端管理工具管理。StringRedisTemplate繼承RedisTemplate,與RedisTemplate不一樣的是從新設置了序列化策略,使用StringRedisSerialier類來序列化key-value,包括List、Hash、Set等數據結構。redis
1 @RunWith(SpringRunner.class) 2 @SpringBootTest 3 public class SpringbootCacheApplicationTests { 4 5 @Autowired 6 StringRedisTemplate stringRedisTemplate; //操做 k-v 字符串 7 8 @Autowired 9 RedisTemplate redisTemplate; //k- v 都是對象 10 11 /** 12 * redis 常見 13 * String(字符串) List(列表) Set(集合) Hash(散列) ZSet(有序集合) 14 */ 15 16 @Test 17 public void test1() { 18 stringRedisTemplate.opsForValue().append("StringKey", "字符串數值"); 19 String value = stringRedisTemplate.opsForValue().get("StringKey"); 20 System.out.println(value); 21 } 22 @Test 23 public void test2() { 24 25 Product product = productMapper.getProductById(4L); 26 redisTemplate.opsForValue().set("produxtid4",product); 27 28 } 29 }
spring-boot-autoconfigure-2.0.4.RELEASE.jar包中RedisAutoConfiguration.java已經自動聲明瞭兩個redis操做bean:spring
RedisAutoConfiguration.java實現代碼:數據庫
所以咱們只要在使用的地方注入便可:json
@Autowired StringRedisTemplate stringRedisTemplate; //操做 k-v 字符串 @Autowired RedisTemplate redisTemplate; //k- v 都是對象
StringRedisTemplate 提供opsForValue用來操做key-value,如上面的示例,另外還提供了一系列opsForHash()、opsForList()、opsForSet()、opsForZSet()等方法用來操做不一樣結構類型的數據。緩存
運行上面的測試方法,查看redis客戶端:服務器
能夠發現,出現了一些沒法識別的字符,查看RedisTemplate源碼可這個是因爲默認使用了JDK的序列化機制,而StringRedisTemplate沒有出亂碼是由於它修改了序列化器數據結構
StringRedisTemplate實現:mybatis
1 public class StringRedisTemplate extends RedisTemplate<String, String> { 2 3 /** 4 * Constructs a new <code>StringRedisTemplate</code> instance. {@link #setConnectionFactory(RedisConnectionFactory)} 5 * and {@link #afterPropertiesSet()} still need to be called. 6 */ 7 public StringRedisTemplate() { 8 RedisSerializer<String> stringSerializer = new StringRedisSerializer(); 9 setKeySerializer(stringSerializer); 10 setValueSerializer(stringSerializer); 11 setHashKeySerializer(stringSerializer); 12 setHashValueSerializer(stringSerializer); 13 } 14 15 /** 16 * Constructs a new <code>StringRedisTemplate</code> instance ready to be used. 17 * 18 * @param connectionFactory connection factory for creating new connections 19 */ 20 public StringRedisTemplate(RedisConnectionFactory connectionFactory) { 21 this(); 22 setConnectionFactory(connectionFactory); 23 afterPropertiesSet(); 24 } 25 26 protected RedisConnection preProcessConnection(RedisConnection connection, boolean existingConnection) { 27 return new DefaultStringRedisConnection(connection); 28 } 29 }
RedisTemplate實現,截取默認序列化器相關源碼:
1 @Override 2 public void afterPropertiesSet() { 3 4 super.afterPropertiesSet(); 5 6 boolean defaultUsed = false; 7 8 if (defaultSerializer == null) { 9 //默認序列化器使用JdkSerializationRedisSerializer 10 defaultSerializer = new JdkSerializationRedisSerializer( 11 classLoader != null ? classLoader : this.getClass().getClassLoader()); 12 } 13 14 if (enableDefaultSerializer) { 15 16 if (keySerializer == null) { 17 keySerializer = defaultSerializer; 18 defaultUsed = true; 19 } 20 if (valueSerializer == null) { 21 valueSerializer = defaultSerializer; 22 defaultUsed = true; 23 } 24 if (hashKeySerializer == null) { 25 hashKeySerializer = defaultSerializer; 26 defaultUsed = true; 27 } 28 if (hashValueSerializer == null) { 29 hashValueSerializer = defaultSerializer; 30 defaultUsed = true; 31 } 32 } 33 34 if (enableDefaultSerializer && defaultUsed) { 35 Assert.notNull(defaultSerializer, "default serializer null and not all serializers initialized"); 36 } 37 38 if (scriptExecutor == null) { 39 this.scriptExecutor = new DefaultScriptExecutor<>(this); 40 } 41 42 initialized = true; 43 }
既然RedisTemplate的默認序列化器不是很方便在redis管理工具中查看,咱們能夠本身定義一個RedisTemplate實例,修改默認的序列化器。
實現方式以下,定義一個配置類,從新注入一個RedisTemplate操做bean:
1 @Configuration 2 public class MyRedisConfig { 3 4 @Bean(name = "redisTemplate") 5 public RedisTemplate<String,Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){ 6 7 RedisTemplate<String,Object> redisTemplate = new RedisTemplate<>(); 8 //參照StringRedisTemplate內部實現指定序列化器 9 redisTemplate.setConnectionFactory(redisConnectionFactory); 10 redisTemplate.setKeySerializer(keySerializer()); 11 redisTemplate.setHashKeySerializer(keySerializer()); 12 redisTemplate.setValueSerializer(valueSerializer()); 13 redisTemplate.setHashValueSerializer(valueSerializer()); 14 16 return redisTemplate; 17 } 18 19 private RedisSerializer<String> keySerializer() { 20 return new StringRedisSerializer(); 21 } 22 //使用Jackson序列化器 23 private RedisSerializer<Object> valueSerializer() { 24 return new GenericJackson2JsonRedisSerializer(); 25 } 26 }
從新運行上面的測試代碼,能夠發現redis客戶端中已經能夠正常的顯示json格式數據了。
Spring Cache集成redis的運行原理:
Spring緩存抽象模塊經過CacheManager來建立、管理實際緩存組件,當SpringBoot應用程序引入spring-boot-starter-data-redi依賴後嗎,容器中將註冊的是CacheManager實例RedisCacheManager對象,RedisCacheManager來負責建立RedisCache做爲緩存管理組件,由RedisCache操做redis服務器實現緩存數據操做。實際測試發現默認注入的RedisCacheManager操做緩存用的是RedisTemplate<Object, Object>,所以咱們須要自定義cacheManager,替換掉默認的序列化器。
實現代碼:
添加mybatis和redis依賴:
<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-data-redis</artifactId> </dependency>
添加mapper映射:
1 @Mapper 2 public interface ProductMapper { 3 @Select("select * from tb_product where product_id=#{id}") 4 Product getProductById(Long id); 5 6 @Update("update tb_product set product_name=#{productName},product_desc=#{productDesc} WHERE product_id=#{productId}") 7 int updateProduct(Product product); 8 9 @Delete("delete from tb_product where product_id=#{id}") 10 void deleteProductById(Long id); 11 12 @Select("select * from tb_product where product_name=#{productName}") 13 Product getProductByName(String productName); 14 }
Service:
1 package com.sl.cache.service; 2 import com.sl.cache.entity.Product; 3 import com.sl.cache.mapper.ProductMapper; 4 import org.springframework.beans.factory.annotation.Autowired; 5 import org.springframework.cache.annotation.CacheConfig; 6 import org.springframework.cache.annotation.CacheEvict; 7 import org.springframework.cache.annotation.CachePut; 8 import org.springframework.cache.annotation.Cacheable; 9 import org.springframework.cache.annotation.Caching; 10 import org.springframework.stereotype.Service; 11 12 @Service 13 @CacheConfig(cacheNames = "product") 14 public class ProductService { 15 @Autowired 16 private ProductMapper productMapper; 17 18 @Cacheable(cacheNames = "product1",key = "#root.methodName+'['+#id+']'") 19 //@Cacheable(cacheNames = {"product1","product2"})// 默認key爲參數,多個參數SimpleKey [arg1,arg2] 20 //@Cacheable(cacheNames = "product",key = "#root.methodName+'['+#id+']'") 21 //@Cacheable(cacheNames = "product",keyGenerator = "myKeyGenerator") 22 //@Cacheable(cacheNames = "product",key = "#root.methodName+'['+#id+']'",condition="#a0>10",unless = "#a0==11") //或者condition="#id>10") 23 public Product getProductById(Long id){ 24 Product product =productMapper.getProductById(id); 25 System.out.println(product); 26 return product; 27 } 28 29 @CachePut(value="product",key = "#result.productId",condition = "#result!=null") 30 public Product updateProduct(Product product){ 31 int count = productMapper.updateProduct(product); 32 System.out.println("影響行數:"+count); 33 if(count>0){ 34 return product; 35 }else{ 36 return null; 37 } 38 } 39 40 //@CacheEvict(value="product",key="#id") 41 //@CacheEvict(value="product",allEntries = true) //清楚全部緩存 42 @CacheEvict(value="product",allEntries = true,beforeInvocation = true) //清楚全部緩存 43 public boolean deleteProductById(Long id) { 44 productMapper.deleteProductById(id); 45 return true; 46 } 47 48 //含有CachePut註解,因此執行這個方法時必定會查詢數據庫,及時有cacheable註解 49 @Caching( 50 cacheable = {@Cacheable(value="product",key="#productName")}, 51 put = { 52 @CachePut(value="product",key="#result.productId"), 53 @CachePut(value="product",key="#result.productName") 54 } 55 ) 56 public Product getProductByName(String productName){ 57 58 Product product =productMapper.getProductByName(productName); 59 60 return product; 61 } 62 }
Controller:
package com.sl.cache.controller; import com.sl.cache.entity.Product; import com.sl.cache.service.ProductService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Controller; import org.springframework.stereotype.Service; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.PathVariable; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; @RestController public class ProductController { @Autowired private ProductService productService; @GetMapping("/product/{id}") public Product getProduct(@PathVariable("id") Long id) { Product product = productService.getProductById(id); return product; } //prooduct?productid=1&productName= & @GetMapping("/product") public Product updateProduct(Product product) { productService.updateProduct(product); return product; } @GetMapping("/delproduct") public String delProduct(@RequestParam(value="id") Long id) { productService.deleteProductById(id); return "ok"; } @GetMapping("/product/name/{productName}") public Product getEmpByLastName(@PathVariable("productName") String productName){ return productService.getProductByName(productName); } }
自定義cacheManager實現:
1 package com.sl.cache.config; 2 import com.sl.cache.entity.Product; 3 import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean; 4 import org.springframework.cache.CacheManager; 5 import org.springframework.cache.config.CacheManagementConfigUtils; 6 import org.springframework.context.annotation.Bean; 7 import org.springframework.context.annotation.Configuration; 8 import org.springframework.context.annotation.Primary; 9 import org.springframework.data.redis.cache.RedisCacheConfiguration; 10 import org.springframework.data.redis.cache.RedisCacheManager; 11 import org.springframework.data.redis.cache.RedisCacheWriter; 12 import org.springframework.data.redis.connection.RedisConnectionFactory; 13 import org.springframework.data.redis.core.RedisTemplate; 14 import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer; 15 import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; 16 import org.springframework.data.redis.serializer.RedisSerializationContext; 17 import org.springframework.data.redis.serializer.RedisSerializer; 18 import org.springframework.data.redis.serializer.StringRedisSerializer; 19 20 import java.net.UnknownHostException; 21 import java.time.Duration; 22 23 @Configuration 24 public class MyRedisConfig { 25 26 @Bean(name = "redisTemplate") 27 public RedisTemplate<String,Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){ 28 29 RedisTemplate<String,Object> redisTemplate = new RedisTemplate<>(); 30 31 redisTemplate.setConnectionFactory(redisConnectionFactory); 32 redisTemplate.setKeySerializer(keySerializer()); 33 redisTemplate.setHashKeySerializer(keySerializer()); 34 redisTemplate.setValueSerializer(valueSerializer()); 35 redisTemplate.setHashValueSerializer(valueSerializer()); 36 return redisTemplate; 37 } 38 39 @Primary 40 @Bean 41 public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory){ 42 //緩存配置對象 43 RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig(); 44 45 redisCacheConfiguration = redisCacheConfiguration.entryTtl(Duration.ofMinutes(30L)) //設置緩存的默認超時時間:30分鐘 46 .disableCachingNullValues() //若是是空值,不緩存 47 .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(keySerializer())) //設置key序列化器 48 .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer((valueSerializer()))); //設置value序列化器 49 50 return RedisCacheManager 51 .builder(RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory)) 52 .cacheDefaults(redisCacheConfiguration).build(); 53 } 54 private RedisSerializer<String> keySerializer() { 55 return new StringRedisSerializer(); 56 } 57 58 private RedisSerializer<Object> valueSerializer() { 59 return new GenericJackson2JsonRedisSerializer(); 60 } 61 }
啓用緩存,添加mybatis Mapper映射掃描:
1 @MapperScan("com.sl.cache.mapper") 2 @SpringBootApplication 3 @EnableCaching 4 public class SpringbootCacheApplication { 5 6 public static void main(String[] args) { 7 SpringApplication.run(SpringbootCacheApplication.class, args); 8 9 } 10 }