首頁顯示資料新增Redis快取
阿新 • • 發佈:2022-02-11
一、Redis介紹
Redis是當前比較熱門的NOSQL系統之一,它是一個開源的使用ANSI c語言編寫的key-value儲存系統(區別於MySQL的二維表格的形式儲存。)。和Memcache類似,但很大程度補償了Memcache的不足。和Memcache一樣,Redis資料都是快取在計算機記憶體中,不同的是,Memcache只能將資料快取到記憶體中,無法自動定期寫入硬碟,這就表示,一斷電或重啟,記憶體清空,資料丟失。所以Memcache的應用場景適用於快取無需持久化的資料。而Redis不同的是它會週期性的把更新的資料寫入磁碟或者把修改操作寫入追加的記錄檔案,實現資料的持久化。
Redis的特點:
1,Redis讀取的速度是110000次/s,寫的速度是81000次/s;
2,原子。Redis的所有操作都是原子性的,同時Redis還支援對幾個操作全並後的原子性執行。
3,支援多種資料結構:string(字串);list(列表);hash(雜湊),set(集合);zset(有序集合)
4,持久化,叢集部署
5,支援過期時間,支援事務,訊息訂閱
二、專案整合Redis
1、在common模組新增依賴
由於redis快取是公共應用,所以我們把依賴與配置新增到了common模組下面,在common模組pom.xml下新增以下依賴
<!-- redis --> <dependency><groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> <!-- spring2.X整合redis所需common-pool2--> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-pool2</artifactId> <version>2.6.0</version> </dependency>
2、在service-base模組新增redis配置類
RedisConfig.java
package com.wang.servicebase; import com.fasterxml.jackson.annotation.JsonAutoDetect; import com.fasterxml.jackson.annotation.PropertyAccessor; import com.fasterxml.jackson.databind.ObjectMapper; import org.springframework.cache.CacheManager; import org.springframework.cache.annotation.CachingConfigurerSupport; import org.springframework.cache.annotation.EnableCaching; 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.core.RedisTemplate; import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.RedisSerializationContext; import org.springframework.data.redis.serializer.RedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; import java.time.Duration; @EnableCaching @Configuration public class RedisConfig extends CachingConfigurerSupport { @Bean public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) { RedisTemplate<String, Object> template = new RedisTemplate<>(); RedisSerializer<String> redisSerializer = new StringRedisSerializer(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); ObjectMapper om = new ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); template.setConnectionFactory(factory); //key序列化方式 template.setKeySerializer(redisSerializer); //value序列化 template.setValueSerializer(jackson2JsonRedisSerializer); //value hashmap序列化 template.setHashValueSerializer(jackson2JsonRedisSerializer); return template; } @Bean public CacheManager cacheManager(RedisConnectionFactory factory) { RedisSerializer<String> redisSerializer = new StringRedisSerializer(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); //解決查詢快取轉換異常的問題 ObjectMapper om = new ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); // 配置序列化(解決亂碼的問題),過期時間600秒 RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig() .entryTtl(Duration.ofSeconds(600)) .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer)) .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer)) .disableCachingNullValues(); RedisCacheManager cacheManager = RedisCacheManager.builder(factory) .cacheDefaults(config) .build(); return cacheManager; } }