[Redis] - redis实战

Microsoft Windows [版本 10.0.17134.472]
(c)  Microsoft Corporation。保留所有权利。

C:\Users\SeeClanUkyo>f:

F:\>cd redis_

F:\redis_>redis-cli.exe
127.0.0.1:> set hero gareen
OK
127.0.0.1:> get hero
"gareen"
127.0.0.1:> set google http://www.google
OK
127.0.0.1:> append google .com
(integer)
127.0.0.1:> get google
"http://www.google.com"
127.0.0.1:> set visitors
OK
127.0.0.1:> incr visitors
(integer)
127.0.0.1:> incr visitors
(integer)
127.0.0.1:> get visitors
""
127.0.0.1:> incrby visitors
(integer)
127.0.0.1:> get visitors
""
127.0.0.1:> type google
string
127.0.0.1:> type visitors
string
127.0.0.1:> ttl google
(integer) -
127.0.0.1:> rename google google-site
OK
127.0.0.1:> get google
(nil)
127.0.0.1:> get google-site
"http://www.google.com"
127.0.0.1:> lpush list redis
(integer)
127.0.0.1:> lpush list1 hello
(integer)
127.0.0.1:> rpush list1 world
(integer)
127.0.0.1:> llen list1
(integer)
127.0.0.1:> lrange list1
) "hello"
) "world"
127.0.0.1:> lpop list1
"hello"
127.0.0.1:> rpop list1
"world"
127.0.0.1:> lrange list1
(empty list or set)
127.0.0.1:> hset person name jack
(integer)
127.0.0.1:> hset person age
(integer)
127.0.0.1:> hset person sex female
(integer)
127.0.0.1:> hgetall person
) "name"
) "jack"
) "age"
) ""
) "sex"
) "female"
127.0.0.1:> hkeys person
) "name"
) "age"
) "sex"
127.0.0.1:> hvals person
) "jack"
) ""
) "female"
127.0.0.1:> hdel person
(error) ERR wrong number of arguments for 'hdel' command
127.0.0.1:> hdel name
(error) ERR wrong number of arguments for 'hdel' command
127.0.0.1:> hdel name jack
(integer)
127.0.0.1:> hkey pserson
(error) ERR unknown command 'hkey'
127.0.0.1:> hkeys person
) "name"
) "age"
) "sex"
127.0.0.1:> hvals person
) "jack"
) ""
) "female"
127.0.0.1:> sadd myset "Hello"
(integer)
127.0.0.1:> sadd myset "World"
(integer)
127.0.0.1:> smembers myset
) "Hello"
) "World"
127.0.0.1:> sadd myset "one"
(integer)
127.0.0.1:> sismember myset "one"
(integer)
127.0.0.1:> sismember myset "two"
(integer)
127.0.0.1:> zadd dbs  redis
(integer)
127.0.0.1:> zadd dbs  memcached
(integer)
127.0.0.1:> zadd dbs  mongodb
(integer)
127.0.0.1:> zadd dbs  leveldb
(integer)
127.0.0.1:> zcard dbs
(integer)
127.0.0.1:> zcount dbs
(integer)
127.0.0.1:> zrank dbs leveldb
(integer)
127.0.0.1:> zrank dbs other
(nil)
127.0.0.1:> zrangebyscore dbs
) "memcached"
) "leveldb"
) "mongodb"
) "redis"
127.0.0.1:>

springboot的redis依赖

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

不再概述windows上安装redis.

linux上安装后提示:

 

redis的使用小记:
https://deadzq.github.io/redis/Redis.html
写个测试:

package com.ykmimi.job;

import com.ykmimi.job.bean.MyUser;
import com.ykmimi.job.bean.MyUser1;
import com.ykmimi.job.mapper.MyUserMapper;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.test.context.junit4.SpringRunner;

import javax.annotation.Resource;
import java.util.List;

@RunWith(SpringRunner.class)
@SpringBootTest
public class DemoApplicationTests {
//    redis模板

    @Test
    public void contextLoads() {
        MyUser user = new MyUser(1l,111l,111l,"123",111l,"t");
        int insert = myUserMapper.insert(user);

        System.out.println(insert);
    }

    @Autowired
    private RedisTemplate<Object,Object> redisTemplate;

    @Resource
    private MyUserMapper myUserMapper;

    @Test
    public void getMyUser(){
        //字符串的序列化器 redis
        RedisSerializer redisSerializer = new StringRedisSerializer();
        redisTemplate.setKeySerializer(redisSerializer);
        //查询缓存
        MyUser myUser = (MyUser) redisTemplate.opsForValue().get("myUser");
        if(null == myUser){
            System.out.println("当缓存没有myUser时显示.");
            //缓存为空,查询数据库
            myUser = myUserMapper.selectByPrimaryKey(1l);
            //把数据库查询出来的数据放入redis
            redisTemplate.opsForValue().set("myUser",myUser);
        }
        System.out.println(myUser);
    }

}

接着再次运行

因为此时redis中有myUser存储了,不再显示上面后箭头的输出.

需要在application.properties中:

# REDIS (RedisProperties)
# Redis数据库索引（默认为0）
spring.redis.database=0
# Redis服务器地址
spring.redis.host=127.0.0.1
# Redis服务器连接端口
spring.redis.port=6379
# 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.jedis.pool.max-wait=-1
# 连接池中的最大空闲连接
spring.redis.jedis.pool.max-idle=8
# 连接池中的最小空闲连接
spring.redis.jedis.pool.min-idle=0
# 连接超时时间（毫秒）
spring.redis.timeout=5000

RedisConfig.java

package com.tansuo365.test1.config;

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.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.interceptor.KeyGenerator;
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.core.StringRedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;

import java.lang.reflect.Method;

@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {

    /**
     * 生成key的策略
     * @return
     */
    @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();
            }
        };
    }

    /**
     * 管理缓存
     * @param factory
     * @return
     */
    @Bean
    public CacheManager cacheManager(RedisConnectionFactory factory){
        RedisCacheManager cacheManager = RedisCacheManager.create(factory);
        return cacheManager;
    }

    /**
     * RedisTemplate配置
     * @param factory
     * @return
     */
    @Bean
    public RedisTemplate<String,String> redisTemplate(RedisConnectionFactory factory){
        StringRedisTemplate template = new StringRedisTemplate(factory);
        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.setValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();
        return template;
    }
}

实体类必须实现序列化:

@Data
@Builder
@NoArgsConstructor
@AllArgsConstructor
public class PetroleumCoke implements Serializable {

在启动类上加入注解:

@EnableCaching
@SpringBootApplication

RedisService:

package com.tansuo365.test1.service;

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

import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;

@Service
public class RedisService {

    @Autowired
    private RedisTemplate redisTemplate;

    public void setRedisTemplate(RedisTemplate 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
     * @param
     * @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
     * @param
     * @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
     * @param
     * @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
     * @param
     * @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;
        }
    }

}

一个控制层

@RequestMapping("selectAll")
    public List selectAllPetroleumCoke(){
//        List<PetroleumCoke> petroleumCokes = petroleumCokeMapper.selectAllPetroleumCoke();
//        map.put("petroleumCokes",petroleumCokes);
//        return map;

        //字符串的序列化器 redis
        RedisSerializer redisSerializer = new StringRedisSerializer();
        redisTemplate.setKeySerializer(redisSerializer);
        List petroleumCokes = redisService.lGet("petroleumCokes", 0, -1);
        System.out.println("查询缓存数据为"+petroleumCokes);
        if (0 == petroleumCokes.size()) {
            synchronized(this){
                System.out.println("进入第一个if");
                petroleumCokes = redisService.lGet("petroleumCokes", 0, -1);
                if(0 == petroleumCokes.size()){
                    System.out.println("第二个if显示了,表示缓存没有查到petroleumCokes.");
                    //缓存为空,查询数据库
                    petroleumCokes = petroleumCokeMapper.selectAllPetroleumCoke();
                    //把数据库查询出来的数据放入redis
                    redisService.lSet("petroleumCokes",petroleumCokes);
                }
            }

        }
        return petroleumCokes;

    }

除了上面的缓存使用还可以直接使用注解:

//    @Cacheable(cacheNames = {"petroleumCokes"})
    @Cacheable(value = "petroleumCokes")
    @RequestMapping("selectAll")
    public List selectAllPetroleumCoke(){
        System.err.println("进入selectAll,表示要走数据库了~");
        List<PetroleumCoke> petroleumCokes = petroleumCokeMapper.selectAllPetroleumCoke();
        return petroleumCokes;
    }