springboot2.0+jpa+redis数据缓存管理，扩展RedisTemplate操作各种数据类型

pom文件

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
	<modelVersion>4.0.0</modelVersion>
	<parent>
		<groupId>org.springframework.boot</groupId>
		<artifactId>spring-boot-starter-parent</artifactId>
		<version>2.1.3.RELEASE</version>
		<relativePath/> <!-- lookup parent from repository -->
	</parent>
	<groupId>com.xyy</groupId>
	<artifactId>cache</artifactId>
	<version>0.0.1-SNAPSHOT</version>
	<name>cache</name>
	<description>Demo project for Spring Boot</description>
    <packaging>jar</packaging>

	<properties>
		<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
		<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
		<thymeleaf-version>3.0.0.RELEASE</thymeleaf-version>
		<thymeleaf-layout-dialect.version>2.0.0</thymeleaf-layout-dialect.version>
		<java.version>1.8</java.version>
		<elasticsearch.version>6.4.0</elasticsearch.version>
		<spring.data.elasticsearch.version>3.1.0.RELEASE</spring.data.elasticsearch.version>
	</properties>

	<dependencies>
		<!--缓存-->
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-cache</artifactId>
		</dependency>
		<!--web-->
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-web</artifactId>
		</dependency>
		<!--start-->
		<dependency>
			<groupId>org.mybatis.spring.boot</groupId>
			<artifactId>mybatis-spring-boot-starter</artifactId>
			<version>2.0.1</version>
		</dependency>
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-tomcat</artifactId>
		</dependency>
		<!--mysql-->
		<dependency>
			<groupId>mysql</groupId>
			<artifactId>mysql-connector-java</artifactId>
		</dependency>
		<!--alibb数据源-->
		<dependency>
			<groupId>com.alibaba</groupId>
			<artifactId>druid-spring-boot-starter</artifactId>
			<version>1.1.10</version>
		</dependency>

		<!-- https://mvnrepository.com/artifact/org.springframework.data/spring-data-redis -->
		<!--redis-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <!--使用redis做缓存这个包需要导入-->
		<dependency>
			<groupId>org.apache.commons</groupId>
			<artifactId>commons-pool2</artifactId>
		</dependency>
		<!-- 将作为Redis对象序列化器 ，也可以使用其他的-->
		<dependency>
			<groupId>com.alibaba</groupId>
			<artifactId>fastjson</artifactId>
			<version>1.2.7</version>
		</dependency>
		<!--ceshi-->
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-test</artifactId>
			<scope>test</scope>
		</dependency>
		<!--自动提示-->
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-configuration-processor</artifactId>
			<optional>true</optional>
		</dependency>
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-data-jpa</artifactId>
		</dependency>
	</dependencies>
	<build>
		<plugins>
			<plugin>
				<groupId>org.springframework.boot</groupId>
				<artifactId>spring-boot-maven-plugin</artifactId>
			</plugin>
		</plugins>
	</build>
</project>

redisconfig

package com.xyy.cache.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.interceptor.KeyGenerator;
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.RedisConfiguration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.*;

import java.lang.reflect.Method;
import java.time.Duration;


@Configuration
public class RedisConfig extends CachingConfigurerSupport{

    private static final Logger lg = LoggerFactory.getLogger(RedisConfiguration.class);
    @Bean
    public KeyGenerator KeyGenerator() {
        return new KeyGenerator() {
            @Override
            public Object generate(Object target, Method method, Object... params) {
                StringBuilder sb = new StringBuilder();
                sb.append(target.getClass().getName());
                sb.append(method.getName());
                for (Object obj : params) {
                    sb.append(obj.toString());
                }
                return sb.toString();
            }
        };
    }
    @ConditionalOnMissingBean({CacheManager.class})
    @Bean
    public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
        System.out.println("=========加载缓存管理器========");
        RedisCacheConfiguration cacheConfiguration = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(Duration.ofDays(1))
                .disableCachingNullValues()
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(new GenericJackson2JsonRedisSerializer()));
        return RedisCacheManager.builder(redisConnectionFactory).cacheDefaults(cacheConfiguration).build();
    }

    @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);
        template.setKeySerializer(redisSerializer);
        template.setValueSerializer(jackson2JsonRedisSerializer);
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        System.out.println("=============redisTemplate开始初始化==============");
        return template;
    }

}

application.yml

#服务端口
server:
  port: 8082
#连接数据库
spring:
  datasource:
    username: root
    password: 123456
    url: jdbc:mysql://localhost:3306/blog?useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true&useSSL=false&serverTimezone=GMT%2B8
    #useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&failOverReadOnly=false
    #useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true&useSSL=false&serverTimezone=GMT%2B8
    driver-class-name: com.mysql.cj.jdbc.Driver
    type: com.alibaba.druid.pool.DruidDataSource    #使用阿里数据源
  jpa:
    hibernate:
      ddl-auto: update
    show-sql: true
    database-platform: 
  cache:
    type: redis
  #redis做缓存配置
  redis:
    #数据库索引
    database: 0
    host: 127.0.0.1
    port: 6379
    password:
    lettuce:
      pool:
        max-active: 8
        max-wait: -1ms
        min-idle: 0
        max-idle: 5
      shutdown-timeout: 5000ms
#日志
logging:
  level:
    root: info
  file: G:/log/info.log


user

```java
package com.xyy.cache.bean.mysqljpa;

import com.fasterxml.jackson.annotation.JsonBackReference;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;

import javax.persistence.*;
import javax.validation.constraints.NotEmpty;
import javax.validation.constraints.Size;
import java.io.Serializable;
import java.util.List;

@JsonIgnoreProperties(value = { "hibernateLazyInitializer", "handler" })
@Entity
@Table(name = "user")
public class User implements Serializable {
    @Id
    @GeneratedValue(strategy= GenerationType.IDENTITY)
    @Column(name = "id")
    private Integer uid;

    @NotEmpty(message = "账号不能为空")
    @Size(min=3, max=20)
    @Column(name = "username",nullable = false, length = 20, unique = true)
    private String username;

    @NotEmpty(message = "密码不能为空")
    @Size(max=100)
    @Column(name = "password")
    private  String password;

    public Integer getUid() {
        return uid;
    }

    public void setUid(Integer uid) {
        this.uid = uid;
    }

    public String getUsername() {
        return username;
    }

    public void setUsername(String username) {
        this.username = username;
    }

    public String getPassword() {
        return password;
    }

    public void setPassword(String password) {
        this.password = password;
    }
    @Override
    public String toString() {
        return "User{" +
                "uid=" + uid +
                ", username='" + username + '\'' +
                ", password='" + password + '\'' +
                '}';
    }
}

UserDao

```java
@Transactional
@Repository
public interface UserRepository extends JpaRepository<User,Integer> {
 List<User> findAll();
}

UserService

public interface UserService {
    List<User> findAll();
}

实现

package com.xyy.cache.service.Impl;

import com.alibaba.fastjson.JSON;
import com.xyy.cache.repository.UserRepository;
import com.xyy.cache.bean.mysqljpa.User;
import com.xyy.cache.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.annotation.CacheConfig;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.data.domain.Sort;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;

import java.util.List;
import java.util.Optional;
@Service
public class UserServiceImpl implements UserService {

    @Autowired
    private UserRepository userRepository;
    
 	@Cacheable(value = "aa", key = "'1'")
    public String getUser() {
        // 该打印用来判断是否重复进入方法内
        System.out.println("in");
        // 如果return null 不会缓存，必须有返回值
        return "1";
    }
    
	@Cacheable(cacheNames = "user")
    @Override
    public List<User> findAll() {
      return userRepository.findAll();
    }
}

controller

package com.xyy.cache.controller;


import com.xyy.cache.repository.UserRepository;
import com.xyy.cache.bean.mysqljpa.User;
import com.xyy.cache.service.Impl.UserServiceImpl;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;

import java.util.ArrayList;
import java.util.List;
import java.util.Optional;

@Controller
public class UserController {
    @Autowired
    private UserServiceImpl userService;

    @ResponseBody
    @GetMapping("/s")
    public void getUser(){
        userService.getUser();
    }

    @ResponseBody
    @RequestMapping("/findAllUser")
    public List<User> findAll(){
        List<User> stuList = userService.findAll();
        return stuList;
    }

 
}

启动类加注解@EnableCaching

package com.xyy.cache;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;
import org.springframework.scheduling.annotation.EnableScheduling;

@ComponentScan(basePackages = "com.xyy.cache.*")
@EnableCaching
@SpringBootApplication(exclude ={DataSourceAutoConfiguration.class})
public class CachedemoApplication {


	public static void main(String[] args) {
	SpringApplication.run(CachedemoApplication.class, args);
	}
}

测试
在这里插入图片描述
由于这个请求没有返回值，所以我们看redis里是否进行了缓存，如果没有缓存控制台会打印“in”这个字符串

可以看到缓存中已经有了，
我们先把他删除，然后在请求，第一次就会控制台打印东西，而第二次不会，这是缓存中已经有了
在这里插入图片描述
在请求，可以看到并没有再次打印in

查询所有用户
在这里插入图片描述
我们这里请求两次，看redis里，看控制台

只打印了一次说明第二次查是从缓存中查的。

注：Springboot 中 Redis缓存使用 @Cacheable不生效的原因
可以参考：https://blog.csdn.net/qq_15071263/article/details/84553102

扩展使用Redistemplate操作缓存

redisUtils

package com.xyy.cache.util;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;

import javax.annotation.Resource;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;
@Component
public class RedisUtil {

    private RedisTemplate<String, Object> redisTemplate;

    public void setRedisTemplate(RedisTemplate<String, Object> redisTemplate) {
        this.redisTemplate = redisTemplate;
    }
//=============================common============================
    /**
     * 指定缓存失效时间
     * @param key 键
     * @param time 时间(秒)
     * @return
     */
    public boolean expire(String key,long time){
        try {
            if(time>0){
                redisTemplate.expire(key, time, TimeUnit.SECONDS);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 根据key 获取过期时间
     * @param key 键 不能为null
     * @return 时间(秒) 返回0代表为永久有效
     */
    public long getExpire(String key){
        return redisTemplate.getExpire(key,TimeUnit.SECONDS);
    }

    /**
     * 判断key是否存在
     * @param key 键
     * @return true 存在 false不存在
     */
    public boolean hasKey(String key){
        try {
            return redisTemplate.hasKey(key);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 删除缓存
     * @param key 可以传一个值 或多个
     */
    @SuppressWarnings("unchecked")
    public void del(String ... key){
        if(key!=null&&key.length>0){
            if(key.length==1){
                redisTemplate.delete(key[0]);
            }else{
                redisTemplate.delete(CollectionUtils.arrayToList(key));
            }
        }
    }

//============================String=============================
    /**
     * 普通缓存获取
     * @param key 键
     * @return 值
     */
    public Object get(String key){
        return key==null?null:redisTemplate.opsForValue().get(key);
    }

    /**
     * 普通缓存放入
     * @param key 键
     * @param value 值
     * @return true成功 false失败
     */
    public boolean set(String key,Object value) {
        try {
            redisTemplate.opsForValue().set(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }

    }

    /**
     * 普通缓存放入并设置时间
     * @param key 键
     * @param value 值
     * @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期
     * @return true成功 false 失败
     */
    public boolean set(String key,Object value,long time){
        try {
            if(time>0){
                redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);
            }else{
                set(key, value);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 递增
     * @param key 键
     * @paramby 要增加几(大于0)
     * @return
     */
    public long incr(String key, long delta){
        if(delta<0){
            throw new RuntimeException("递增因子必须大于0");
        }
        return redisTemplate.opsForValue().increment(key, delta);
    }

    /**
     * 递减
     * @param key 键
     * @paramby 要减少几(小于0)
     * @return
     */
    public long decr(String key, long delta){
        if(delta<0){
            throw new RuntimeException("递减因子必须大于0");
        }
        return redisTemplate.opsForValue().increment(key, -delta);
    }

//================================Map=================================
    /**
     * HashGet
     * @param key 键 不能为null
     * @param item 项 不能为null
     * @return 值
     */
    public Object hget(String key,String item){
        return redisTemplate.opsForHash().get(key, item);
    }

    /**
     * 获取hashKey对应的所有键值
     * @param key 键
     * @return 对应的多个键值
     */
    public Map<Object,Object> hmget(String key){
        return redisTemplate.opsForHash().entries(key);
    }

    /**
     * HashSet
     * @param key 键
     * @param map 对应多个键值
     * @return true 成功 false 失败
     */
    public boolean hmset(String key, Map<String,Object> map){
        try {
            redisTemplate.opsForHash().putAll(key, map);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * HashSet 并设置时间
     * @param key 键
     * @param map 对应多个键值
     * @param time 时间(秒)
     * @return true成功 false失败
     */
    public boolean hmset(String key, Map<String,Object> map, long time){
        try {
            redisTemplate.opsForHash().putAll(key, map);
            if(time>0){
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 向一张hash表中放入数据,如果不存在将创建
     * @param key 键
     * @param item 项
     * @param value 值
     * @return true 成功 false失败
     */
    public boolean hset(String key,String item,Object value) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 向一张hash表中放入数据,如果不存在将创建
     * @param key 键
     * @param item 项
     * @param value 值
     * @param time 时间(秒)  注意:如果已存在的hash表有时间,这里将会替换原有的时间
     * @return true 成功 false失败
     */
    public boolean hset(String key,String item,Object value,long time) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            if(time>0){
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 删除hash表中的值
     * @param key 键 不能为null
     * @param item 项 可以使多个 不能为null
     */
    public void hdel(String key, Object... item){
        redisTemplate.opsForHash().delete(key,item);
    }

    /**
     * 判断hash表中是否有该项的值
     * @param key 键 不能为null
     * @param item 项 不能为null
     * @return true 存在 false不存在
     */
    public boolean hHasKey(String key, String item){
        return redisTemplate.opsForHash().hasKey(key, item);
    }

    /**
     * hash递增 如果不存在,就会创建一个 并把新增后的值返回
     * @param key 键
     * @param item 项
     * @param by 要增加几(大于0)
     * @return
     */
    public double hincr(String key, String item,double by){
        return redisTemplate.opsForHash().increment(key, item, by);
    }

    /**
     * hash递减
     * @param key 键
     * @param item 项
     * @param by 要减少记(小于0)
     * @return
     */
    public double hdecr(String key, String item,double by){
        return redisTemplate.opsForHash().increment(key, item,-by);
    }

//============================set=============================
    /**
     * 根据key获取Set中的所有值
     * @param key 键
     * @return
     */
    public Set<Object> sGet(String key){
        try {
            return redisTemplate.opsForSet().members(key);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }

    /**
     * 根据value从一个set中查询,是否存在
     * @param key 键
     * @param value 值
     * @return true 存在 false不存在
     */
    public boolean sHasKey(String key,Object value){
        try {
            return redisTemplate.opsForSet().isMember(key, value);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 将数据放入set缓存
     * @param key 键
     * @param values 值 可以是多个
     * @return 成功个数
     */
    public long sSet(String key, Object...values) {
        try {
            return redisTemplate.opsForSet().add(key, values);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

    /**
     * 将set数据放入缓存
     * @param key 键
     * @param time 时间(秒)
     * @param values 值 可以是多个
     * @return 成功个数
     */
    public long sSetAndTime(String key,long time,Object...values) {
        try {
            Long count = redisTemplate.opsForSet().add(key, values);
            if(time>0) expire(key, time);
            return count;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

    /**
     * 获取set缓存的长度
     * @param key 键
     * @return
     */
    public long sGetSetSize(String key){
        try {
            return redisTemplate.opsForSet().size(key);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

    /**
     * 移除值为value的
     * @param key 键
     * @param values 值 可以是多个
     * @return 移除的个数
     */
    public long setRemove(String key, Object ...values) {
        try {
            Long count = redisTemplate.opsForSet().remove(key, values);
            return count;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
//===============================list=================================

    /**
     * 获取list缓存的内容
     * @param key 键
     * @param start 开始
     * @param end 结束  0 到 -1代表所有值
     * @return
     */
    public List<Object> lGet(String key, long start, long end){
        try {
            return redisTemplate.opsForList().range(key, start, end);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }

    /**
     * 获取list缓存的长度
     * @param key 键
     * @return
     */
    public long lGetListSize(String key){
        try {
            return redisTemplate.opsForList().size(key);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

    /**
     * 通过索引 获取list中的值
     * @param key 键
     * @param index 索引  index>=0时， 0 表头，1 第二个元素，依次类推；index<0时，-1，表尾，-2倒数第二个元素，依次类推
     * @return
     */
    public Object lGetIndex(String key,long index){
        try {
            return redisTemplate.opsForList().index(key, index);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }

    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @paramtime时间(秒)
     * @return
     */
    public boolean lSet(String key, Object value) {
        try {
            redisTemplate.opsForList().rightPush(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @param time 时间(秒)
     * @return
     */
    public boolean lSet(String key, Object value, long time) {
        try {
            redisTemplate.opsForList().rightPush(key, value);
            if (time > 0) expire(key, time);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @paramtime 时间(秒)
     * @return
     */
    public boolean lSet(String key, List<Object> value) {
        try {
            redisTemplate.opsForList().rightPushAll(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @param time 时间(秒)
     * @return
     */
    public boolean lSet(String key, List<Object> value, long time) {
        try {
            redisTemplate.opsForList().rightPushAll(key, value);
            if (time > 0) expire(key, time);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 根据索引修改list中的某条数据
     * @param key 键
     * @param index 索引
     * @param value 值
     * @return
     */
    public boolean lUpdateIndex(String key, long index,Object value) {
        try {
            redisTemplate.opsForList().set(key, index, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 移除N个值为value
     * @param key 键
     * @param count 移除多少个
     * @param value 值
     * @return 移除的个数
     */
    public long lRemove(String key,long count,Object value) {
        try {
            Long remove = redisTemplate.opsForList().remove(key, count, value);
            return remove;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
}

redisController

package com.xyy.cache.controller;

import com.xyy.cache.util.RedisUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.Cursor;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ScanOptions;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.ResponseBody;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;

@Controller
public class RedisController {
    @Autowired
    RedisTemplate redisTemplate;
    @Autowired
    RedisUtil redisUtil;

    //字符串
    @ResponseBody
    @GetMapping("/redisValue")
    public String redisValue(String testValue){
        //redisTemplate.opsForValue().set(key,value);                                  添加
        //redisTemplate.opsForValue().set(key,value,7200, TimeUnit.SECONDS);           添加并设置过期时间
        //redisTemplate.opsForValue().increment(user_count,1);                         自增
        //redisTemplate.opsForValue().getAndSet(key,newValue);                          获取并重新设置新值
        //redisTemplate.opsForValue().append(key,hello);                                在value的末尾拼接上hello
        // redisTemplate.opsForValue().size(key);                                       获取字符串的长度
        if(redisUtil.hasKey(testValue)){
            System.out.println(redisTemplate.getExpire(testValue));
            System.out.println("存在key，将从redis里获取");
        }else{
            System.out.println("不存在，查数据库，查出结果放入缓存，在返回");
            redisUtil.set(testValue,"test1",5);
            System.out.println(redisTemplate.getExpire(testValue));
        }
        return redisUtil.get(testValue).toString();
    }
    //哈希
    @ResponseBody
    @GetMapping("/redisHashMap")
    public Map redisHashMap(String testValue){
        //添加单个
        redisUtil.hset("testhash","id","001");
        //添加多个
        HashMap map = new HashMap<>();
        map.put("name","小明");
        map.put("sex","男");
        redisUtil.hmset("testhash",map);
        //键集合
        Set<String> keys=redisTemplate.opsForHash().keys("testhash");
        System.out.println("keys"+keys);
        //value集合
        List values=redisTemplate.opsForHash().values("testhash");
        System.out.println("values"+values);
        //遍历map,Cursor：游标
        /*Cursor<Map.Entry<Object,Object>> entryCursor=redisTemplate.opsForHash().scan("scan", ScanOptions.NONE);
        while(entryCursor.hasNext()){
            Map.Entry<Object,Object> entry=entryCursor.next();
            System.out.println("键："+entry.getKey()+"值:"+entry.getValue());
        }*/
        //获取整个map
        return redisUtil.hmget("testMap");

    }
    //集合
    @ResponseBody
    @GetMapping("/redisSet")
    public Set<Object> setRedis(String set){
        String[] ste=new String[]{"123","456","789","45"};
        redisTemplate.opsForSet().add(set,ste);
        //移除一个或多个
        ste=new String[]{"123"};
        redisTemplate.opsForSet().remove(set,ste);
        //遍历
        Cursor<String> entryCursor=redisTemplate.opsForSet().scan("scan", ScanOptions.NONE);
        while(entryCursor.hasNext()){
            System.out.println("set:"+entryCursor.next());
        }
        return redisUtil.sGet(set);
    }

    //list列表
    @ResponseBody
    @GetMapping("/redisList")
    public List<String> redisList(){
       //表头插入一个
        //redisTemplate.opsForList().leftPush("left-list","java");
        //表头插入多个
        //String[] arr=new String[]{"JS","HTML","C#","C++"};
        //redisTemplate.opsForList().leftPushAll("left-list",arr);
        //表尾插入一个
        //redisTemplate.opsForList().rightPush("right-list","java");
        //表尾插入多个
        //redisTemplate.opsForList().rightPushAll("right-list",arr);
        //设置位置
        //redisTemplate.opsForList().set("right-list",0,"第一个");
        //删除：count>0:删除等于从头到尾移动的值的元素。
        //count<0:删除等于从尾到头移动的值的元素。
        //count=0:删除等于value的所有元素
        redisTemplate.opsForList().remove("right-list",1,"JS");
        return redisTemplate.opsForList().range("left-list",0,-1);
    }
    //有序集合
    /*@ResponseBody
    @GetMapping("/redisZset")
    public List<String> redisZset(){
        redisTemplate.opsForList().remove("right-list",1,"JS");
        return redisTemplate.opsForList().range("left-list",1,-1);
    }*/






}

结果演示
在这里插入图片描述

看到我请叫我写代码啊

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