springboot之使用redistemplate操作redis

本文只记录相关code

概念内容 实现了SpringBoot与redis的单机版、集群版、哨兵模式的整合
springboot 与redis的整合:
pom文件:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

application.properties:

# Redis settings
spring.redis.database=0
spring.redis.host=127.0.0.1
spring.redis.port=6379
spring.redis.password=
spring.redis.ssl=false
# 连接池最大连接数（使用负值表示没有限制）
spring.redis.pool.max-active=8  
# 连接池最大阻塞等待时间（使用负值表示没有限制）
spring.redis.pool.max-wait=-1  
# 连接池中的最大空闲连接
spring.redis.pool.max-idle=8  
# 连接池中的最小空闲连接
spring.redis.pool.min-idle=0  
# 连接超时时间（毫秒）
spring.redis.timeout=0

redisTemplate的配置

新建一个redisConfig类，进行相关bean的配置：

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.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
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.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
@Configuration
@EnableCaching
public class RedisConfig {
    //读取默认的application.properties文件的redis的配置参数
    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        //设置序列化
        //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        //指定要序列化的域，field,get和set,以及修饰符范围，ANY是都有包括private和public
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        //配置redisTemplate
        RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
        // 配置连接工厂
        redisTemplate.setConnectionFactory(redisConnectionFactory);
        RedisSerializer stringSerializer = new StringRedisSerializer();
        redisTemplate.setKeySerializer(stringSerializer);//key序列化
        redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);//value序列化
        redisTemplate.setHashKeySerializer(stringSerializer);//Hash key序列化
        redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);//Hash value序列化
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }


    @Bean
    public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
        RedisCacheManager.RedisCacheManagerBuilder builder = RedisCacheManager
                .RedisCacheManagerBuilder
                .fromConnectionFactory(redisConnectionFactory);
        return builder.build();
    }
}

redis工具接口类：

import java.util.List;
import java.util.Set;

public interface RedisService {

    boolean set(String key, Object value);

    boolean set(String key, Object value, Long expireTime);

    void remove(String... keys);

    /**
     * 批量删除key
     * @param pattern
     */
    void removePattern(String pattern);

    /**
     * 删除对应的value
     * @param key
     */
    void remove(String key);
    /**
     * 判断缓存中是否有对应的value
     * @param key
     * @return
     */
    boolean exists(String key);

    /**
     * 读取缓存
     * @param key
     * @return
     */
    Object get(String key);
    /**
     * 哈希 添加
     * @param key
     * @param hashKey
     * @param value
     */
    void hmSet(String key, Object hashKey, Object value);

    /**
     * 哈希获取数据
     * @param key
     * @param hashKey
     * @return
     */
    Object hmGet(String key, Object hashKey);

    /**
     * 列表添加
     * @param k
     * @param v
     */
    void lPush(String k, Object v);

    /**
     * 列表获取
     * @param k
     * @param l
     * @param l1
     * @return
     */
    List<Object> lRange(String k, long l, long l1);

    /**
     * 集合添加
     * @param key
     * @param value
     */
    void setArray(String key, Object value);

    /**
     * 集合获取
     * @param key
     * @return
     */
    Set<Object> getArray(String key);

    /**
     * 有序集合添加
     * @param key
     * @param value
     * @param scoure
     */
    void zAdd(String key, Object value, double scoure);

    /**
     * 有序集合获取
     * @param key
     * @param scoure
     * @param scoure1
     * @return
     */
    Set<Object> rangeByScore(String key, double scoure, double scoure1);

}

redis工具实现类：

import com.myself.platform.service.RedisService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Service;

import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;

@Service
public class RedisServiceImpl implements RedisService {

    @Autowired
    private RedisTemplate redisTemplate;

    /**
     * 写入缓存
     * @param key
     * @param value
     * @return boolean
     */
    @Override
    public boolean set(String key, Object value) {
        boolean result = false;
        try {
            ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
            operations.set(key, value);
            result = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 写入缓存设置时效时间
     * @param key
     * @param value
     * @return boolean
     */
    @Override
    public boolean set(String key, Object value, Long expireTime) {
        boolean result = false;
        try {
            ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
            operations.set(key, value);
            redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
            result = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 批量删除对应的value
     * @param keys
     */
    @Override
    public void remove(String... keys) {
        for (String key : keys) {
            remove(key);
        }
    }

    /**
     * 批量删除key
     * @param pattern
     */
    @Override
    public void removePattern(String pattern) {
        Set<Serializable> keys = redisTemplate.keys(pattern);
        if (keys.size() > 0)
            redisTemplate.delete(keys);
    }

    /**
     * 删除对应的value
     * @param key
     */
    @Override
    public void remove(String key) {
        if (exists(key)) {
            redisTemplate.delete(key);
        }
    }

    /**
     * 判断缓存中是否有对应的value
     * @param key
     * @return
     */
    @Override
    public boolean exists(String key) {
        return redisTemplate.hasKey(key);
    }

    /**
     * 读取缓存
     * @param key
     * @return
     */
    @Override
    public Object get(String key) {
        Object result = null;
        ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
        result = operations.get(key);
        return result;
    }
    /**
     * 哈希 添加
     * @param key
     * @param hashKey
     * @param value
     */
    @Override
    public void hmSet(String key, Object hashKey, Object value){
        HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
        hash.put(key,hashKey,value);
    }

    /**
     * 哈希获取数据
     * @param key
     * @param hashKey
     * @return
     */
    @Override
    public Object hmGet(String key, Object hashKey){
        HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
        return hash.get(key,hashKey);
    }

    /**
     * 列表添加
     * @param k
     * @param v
     */
    @Override
    public void lPush(String k,Object v){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        list.rightPush(k,v);
    }

    /**
     * 列表获取
     * @param k
     * @param l
     * @param l1
     * @return
     */
    @Override
    public List<Object> lRange(String k, long l, long l1){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        return list.range(k,l,l1);
    }

    /**
     * 集合添加
     * @param key
     * @param value
     */
    @Override
    public void setArray(String key,Object value){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        set.add(key,value);
    }

    /**
     * 集合获取
     * @param key
     * @return
     */
    @Override
    public Set<Object> getArray(String key){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        return set.members(key);
    }

    /**
     * 有序集合添加
     * @param key
     * @param value
     * @param scoure
     */
    @Override
    public void zAdd(String key,Object value,double scoure){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        zset.add(key,value,scoure);
    }

    /**
     * 有序集合获取
     * @param key
     * @param scoure
     * @param scoure1
     * @return
     */
    @Override
    public Set<Object> rangeByScore(String key,double scoure,double scoure1){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        return zset.rangeByScore(key, scoure, scoure1);
    }

}

测试类：

@Autowired
    private RedisService redisService;
    
    public String getProperties(){
        redisService.set("3213", 1213,900l);
    }

注解缓存的使用

@Cacheable：在方法执行前Spring先查看缓存中是否有数据，如果有数据，则直接返回缓存数据；没有则调用方法并将方法返回值放进缓存。

@CachePut：将方法的返回值放到缓存中。

@CacheEvict：删除缓存中的数据。