SpringBoot整合RedisTemplate实现缓存信息监控的步骤
SpringBoot 整合 Redis 数据库实现数据缓存的本质是整合 Redis 数据库,通过对需要“缓存”的数据存入 Redis 数据库中,下次使用时先从 Redis 中获取,Redis 中没有再从数据库中获取,这样就实现了 Redis 做数据缓存。
按照惯例,下面一步一步的实现 Springboot 整合 Redis 来存储数据,读取数据。
1.项目添加依赖首页第一步还是在项目添加 Redis 的环境, Jedis。
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> </dependency>
2. 添加redis的参数
spring: ### Redis Configuration redis: pool: max-idle: 10 min-idle: 5 max-total: 20 hostName: 127.0.0.1 port: 6379
3.编写一个 RedisConfig 注册到 Spring 容器
package com.config; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.data.redis.connection.jedis.JedisConnectionFactory; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.serializer.StringRedisSerializer; import redis.clients.jedis.JedisPoolConfig; /** * 描述:Redis 配置类 */ @Configuration public class RedisConfig { /** * 1.创建 JedisPoolConfig 对象。在该对象中完成一些连接池的配置 */ @Bean @ConfigurationProperties(prefix="spring.redis.pool") public JedisPoolConfig jedisPoolConfig() { JedisPoolConfig jedisPoolConfig = new JedisPoolConfig(); return jedisPoolConfig; } /** * 2.创建 JedisConnectionFactory:配置 redis 连接信息 */ @Bean @ConfigurationProperties(prefix="spring.redis") public JedisConnectionFactory jedisConnectionFactory(JedisPoolConfig jedisPoolConfig) { JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory(jedisPoolConfig); return jedisConnectionFactory; } /** * 3.创建 RedisTemplate:用于执行 Redis 操作的方法 */ @Bean public RedisTemplate<String, Object> redisTemplate(JedisConnectionFactory jedisConnectionFactory) { RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>(); // 关联 redisTemplate.setConnectionFactory(jedisConnectionFactory); // 为 key 设置序列化器 redisTemplate.setKeySerializer(new StringRedisSerializer()); // 为 value 设置序列化器 redisTemplate.setValueSerializer(new StringRedisSerializer()); return redisTemplate; } }
4.使用redisTemplate
package com.controller; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.JdkSerializationRedisSerializer; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; import com.bean.Users; /** * @Description 整合 Redis 测试Controller * @version V1.0 */ @RestController public class RedisController { @Autowired private RedisTemplate<String, Object> redisTemplate; @RequestMapping("/redishandle") public String redishandle() { //添加字符串 redisTemplate.opsForValue().set("author", "欧阳"); //获取字符串 String value = (String)redisTemplate.opsForValue().get("author"); System.out.println("author = " + value); //添加对象 //重新设置序列化器 redisTemplate.setValueSerializer(new JdkSerializationRedisSerializer()); redisTemplate.opsForValue().set("users", new Users("1" , "张三")); //获取对象 //重新设置序列化器 redisTemplate.setValueSerializer(new JdkSerializationRedisSerializer()); Users user = (Users)redisTemplate.opsForValue().get("users"); System.out.println(user); //以json格式存储对象 //重新设置序列化器 redisTemplate.setValueSerializer(new Jackson2JsonRedisSerializer<>(Users.class)); redisTemplate.opsForValue().set("usersJson", new Users("2" , "李四")); //以json格式获取对象 //重新设置序列化器 redisTemplate.setValueSerializer(new Jackson2JsonRedisSerializer<>(Users.class)); user = (Users)redisTemplate.opsForValue().get("usersJson"); System.out.println(user); return "home"; } }
5.项目实战中redisTemplate的使用
/** * */ package com.shiwen.lujing.service.impl; import java.util.List; import java.util.concurrent.TimeUnit; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.ValueOperations; import org.springframework.stereotype.Service; import com.fasterxml.jackson.core.JsonProcessingException; import com.fasterxml.jackson.databind.ObjectMapper; import com.shiwen.lujing.dao.mapper.WellAreaDao; import com.shiwen.lujing.service.WellAreaService; import com.shiwen.lujing.util.RedisConstants; /** * @author zhangkai * */ @Service public class WellAreaServiceImpl implements WellAreaService { @Autowired private WellAreaDao wellAreaDao; @Autowired private RedisTemplate<String, String> stringRedisTemplate; /* * (non-Javadoc) * * @see com.shiwen.lujing.service.WellAreaService#getAll() */ @Override public String getAll() throws JsonProcessingException { //redis中key是字符串 ValueOperations<String, String> opsForValue = stringRedisTemplate.opsForValue(); //通过key获取redis中的数据 String wellArea = opsForValue.get(RedisConstants.REDIS_KEY_WELL_AREA); //如果没有去查数据库 if (wellArea == null) { List<String> wellAreaList = wellAreaDao.getAll(); wellArea = new ObjectMapper().writeValueAsString(wellAreaList); //将查出来的数据存储在redis中 opsForValue.set(RedisConstants.REDIS_KEY_WELL_AREA, wellArea, RedisConstants.REDIS_TIMEOUT_1, TimeUnit.DAYS); // set(K key, V value, long timeout, TimeUnit unit) //timeout:过期时间; unit:时间单位 //使用:redisTemplate.opsForValue().set("name","tom",10, TimeUnit.SECONDS); //redisTemplate.opsForValue().get("name")由于设置的是10秒失效,十秒之内查询有结 //果,十秒之后返回为null } return wellArea; } }
6.redis中使用的key
package com.shiwen.lujing.util; /** * redis 相关常量 * * */ public interface RedisConstants { /** * 井首字 */ String REDIS_KEY_JING_SHOU_ZI = "JING-SHOU-ZI"; /** * 井区块 */ String REDIS_KEY_WELL_AREA = "WELL-AREA"; /** * */ long REDIS_TIMEOUT_1 = 1L; }
补充:SpringBoot整合RedisTemplate实现缓存信息监控
1、CacheController接口代码
@RestController @RequestMapping("/monitor/cache") public class CacheController { @Autowired private RedisTemplate<String, String> redisTemplate; @PreAuthorize("@ss.hasPermi('monitor:cache:list')")// 自定义权限注解 @GetMapping() public AjaxResult getInfo() throws Exception { // 获取redis缓存完整信息 //Properties info = redisTemplate.getRequiredConnectionFactory().getConnection().info(); Properties info = (Properties) redisTemplate.execute((RedisCallback<Object>) connection -> connection.info()); // 获取redis缓存命令统计信息 //Properties commandStats = redisTemplate.getRequiredConnectionFactory().getConnection().info("commandstats"); Properties commandStats = (Properties) redisTemplate.execute((RedisCallback<Object>) connection -> connection.info("commandstats")); // 获取redis缓存中可用键Key的总数 //Long dbSize = redisTemplate.getRequiredConnectionFactory().getConnection().dbSize(); Object dbSize = redisTemplate.execute((RedisCallback<Object>) connection -> connection.dbSize()); Map<String, Object> result = new HashMap<>(3); result.put("info", info); result.put("dbSize", dbSize); List<Map<String, String>> pieList = new ArrayList<>(); commandStats.stringPropertyNames().forEach(key -> { Map<String, String> data = new HashMap<>(2); String property = commandStats.getProperty(key); data.put("name", StringUtils.removeStart(key, "cmdstat_")); data.put("value", StringUtils.substringBetween(property, "calls=", ",usec")); pieList.add(data); }); result.put("commandStats", pieList); return AjaxResult.success(result); } }
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