这篇文章给大家分享的是有关SpringBoot整合RedisTemplate如何实现缓存信息监控的内容。小编觉得挺实用的，因此分享给大家做个参考，一起跟随小编过来看看吧。
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);
}
}感谢各位的阅读！关于“SpringBoot整合RedisTemplate如何实现缓存信息监控”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，让大家可以学到更多知识，如果觉得文章不错，可以把它分享出去让更多的人看到吧！
免责声明：本站发布的内容（图片、视频和文字）以原创、转载和分享为主，文章观点不代表本网站立场，如果涉及侵权请联系站长邮箱：is@yisu.com进行举报，并提供相关证据，一经查实，将立刻删除涉嫌侵权内容。
