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);
    }
}

来源：https://www.cnblogs.com/hkMblogs/p/15059454.html