一、Redis
redis是一个key-value存储系统。它支持存储的value类型很多,包括string(字符串)、list(链表)、set(集合)、zset(sorted set --有序集合)和hash(哈希类型)。这些数据类型都支持push/pop、add/remove及取交集并集和差集及更丰富的操作,而且这些操作都是原子性的。
二、Windows下安装Redis服务
1、要安装Redis,首先要获取安装包。Windows的Redis安装包需要到以下GitHub链接找到。链接:https://github.com/MSOpenTech/redis。打开网站后,找到Release,点击前往下载页面。
2、在下载网页中,找到最后发行的版本(此处是3.2.100)。找到Redis-x64-3.2.100.msi和Redis-x64-3.2.100.zip,点击下载(此处下载msi版本)。
3、双击刚下载好的msi格式的安装包(Redis-x64-3.2.100.msi)开始安装。
4、选择“同意协议”,点击下一步继续。
5、选择“添加Redis目录到环境变量PATH中”,这样方便系统自动识别Redis执行文件在哪里。
6、端口号可保持默认的6379,并选择防火墙例外,从而保证外部可以正常访问Redis服务。
7、设定最大值存储空间。作为实验和学习,100M足够了。
8、点击安装,正式的安装过程开始。稍等一会即可完成。
9、安装完毕后,点击“开始”>右击“计算机”>选择“管理”。在左侧栏中依次找到并点击“计算机管理(本地)”>服务和应用程序>服务。再在右侧找到Redis名称的服务,查看启动情况。如未启动,则手动启动之。正常情况下,服务应该正常启动并运行了。
10、最后来测试一下Redis是否正常提供服务。进入Redis的目录,输入redis-cli并回车。(redis-cli是客户端程序)如图正常提示进入,并显示正确端口号,则表示服务已经启动。
11、实际测试一下读写。输入set mykey "I love you all!”并回车,用来保存一个键值。再输入get mykey,获取刚才保存的键值。
三、redis-server.exe redis.windows.conf启动redis问题
遇到问题:# Creating Server TCP listening socket *:6379: bind: No such file or directory
解决方案:1. redis-cli.exe
2. shutdown //关闭redis
3. exit
4. redis-server.exe redis.windows.conf //重启redis
四、redis可视化工具
RedisDesktopManager
五、SpringBoot使用redis存储
1、pom 依赖
<!-- Spring Boot Redis依赖 -->
<!-- 注意:1.5版本的依赖和2.0的依赖不一样,注意看哦 1.5我记得名字里面应该没有“data”, 2.0必须是“spring-boot-starter-data-redis” 这个才行 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
<!-- 1.5的版本默认采用的连接池技术是jedis 2.0以上版本默认连接池是lettuce, 在这里采用jedis,所以需要排除lettuce的jar -->
<exclusions>
<exclusion>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
</exclusion>
<exclusion>
<groupId>io.lettuce</groupId>
<artifactId>lettuce-core</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- 添加jedis客户端 -->
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
</dependency>
<!--spring2.0集成redis所需common-pool2 -->
<!-- 必须加上,jedis依赖此 -->
<!-- spring boot 2.0 的操作手册有标注 大家可以去看看 地址是:https://docs.spring.io/spring-boot/docs/2.0.3.RELEASE/reference/htmlsingle/ -->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
</dependency>
2、application.properties 配置文件
#redis
spring.jpa.database=0
spring.redis.host=127.0.0.1
spring.redis.password=
spring.redis.port=6379
# 数据库连接超时时间,2.0 中该参数的类型为Duration,这里在配置的时候需要指明单位
spring.redis.timeout=10000
# 连接池配置,2.0中直接使用jedis或者lettuce配置连接池
# 最大活跃连接数,负数为不限制
spring.redis.jedis.pool.max-active=8
# 等待可用连接的最大时间,负数为不限制
spring.redis.jedis.pool.max-wait=-1
# 最大空闲连接数
spring.redis.jedis.pool.max-idle=8
# 最小空闲连接数
spring.redis.jedis.pool.min-idle=0
3、RedisConfiguration配置文件
package com.sjx.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.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.cache.Cache;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.interceptor.CacheErrorHandler;
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.jedis.JedisConnectionFactory;
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;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;
/**
* @ClassName: RedisConfiguration
* @Description:TODO(这里用一句话描述这个类的作用)
* @author: 沈均晓
* @date: 2018年9月19日 上午11:18:33
*/
@Configuration
// 必须加,使配置生效
@EnableCaching
public class RedisConfiguration extends CachingConfigurerSupport {
/**
* Logger
*/
private static final Logger logger = LoggerFactory.getLogger(RedisConfiguration.class);
@Autowired
private JedisConnectionFactory jedisConnectionFactory;
@Bean
public KeyGenerator keyGenerator() {
// 设置自动key的生成规则,配置spring boot的注解,进行方法级别的缓存
// 使用:进行分割,可以很多显示出层级关系
// 这里其实就是new了一个KeyGenerator对象,只是这是lambda表达式的写法,我感觉很好用,大家感兴趣可以去了解下
return (target, method, params) -> {
StringBuilder sb = new StringBuilder();
sb.append(target.getClass().getName());
sb.append(":");
sb.append(method.getName());
for (Object obj : params) {
sb.append(":" + String.valueOf(obj));
}
String rsToUse = String.valueOf(sb);
logger.info("自动生成Redis Key -> [{}]", rsToUse);
return rsToUse;
};
}
@Bean
public CacheManager cacheManager() {
// 初始化缓存管理器,在这里我们可以缓存的整体过期时间什么的,我这里默认没有配置
logger.info("初始化 -> [{}]", "CacheManager RedisCacheManager Start");
RedisCacheManager.RedisCacheManagerBuilder builder = RedisCacheManager.RedisCacheManagerBuilder
.fromConnectionFactory(jedisConnectionFactory);
return builder.build();
}
@Bean
public RedisTemplate<String, Object> redisTemplate(JedisConnectionFactory jedisConnectionFactory) {
// 设置序列化
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);
// 配置redisTemplate
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
redisTemplate.setConnectionFactory(jedisConnectionFactory);
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;
}
@Override
@Bean
public CacheErrorHandler errorHandler() {
// 异常处理,当Redis发生异常时,打印日志,但是程序正常走
logger.info("初始化 -> [{}]", "Redis CacheErrorHandler");
CacheErrorHandler cacheErrorHandler = new CacheErrorHandler() {
@Override
public void handleCacheGetError(RuntimeException e, Cache cache, Object key) {
logger.error("Redis occur handleCacheGetError:key -> [{}]", key, e);
}
@Override
public void handleCachePutError(RuntimeException e, Cache cache, Object key, Object value) {
logger.error("Redis occur handleCachePutError:key -> [{}];value -> [{}]", key, value, e);
}
@Override
public void handleCacheEvictError(RuntimeException e, Cache cache, Object key) {
logger.error("Redis occur handleCacheEvictError:key -> [{}]", key, e);
}
@Override
public void handleCacheClearError(RuntimeException e, Cache cache) {
logger.error("Redis occur handleCacheClearError:", e);
}
};
return cacheErrorHandler;
}
/**
* 此内部类就是把yml的配置数据,进行读取,创建JedisConnectionFactory和JedisPool,以供外部类初始化缓存管理器使用
* 不了解的同学可以去看@ConfigurationProperties和@Value的作用
*
*/
@ConfigurationProperties
class DataJedisProperties {
@Value("${spring.redis.host}")
private String host;
@Value("${spring.redis.password}")
private String password;
@Value("${spring.redis.port}")
private int port;
@Value("${spring.redis.timeout}")
private int timeout;
@Value("${spring.redis.jedis.pool.max-idle}")
private int maxIdle;
@Value("${spring.redis.jedis.pool.max-wait}")
private long maxWaitMillis;
@Bean
JedisConnectionFactory jedisConnectionFactory() {
logger.info("Create JedisConnectionFactory successful");
JedisConnectionFactory factory = new JedisConnectionFactory();
factory.setHostName(host);
factory.setPort(port);
factory.setTimeout(timeout);
factory.setPassword(password);
return factory;
}
@Bean
public JedisPool redisPoolFactory() {
logger.info("JedisPool init successful,host -> [{}];port -> [{}]", host, port);
JedisPoolConfig jedisPoolConfig = new JedisPoolConfig();
jedisPoolConfig.setMaxIdle(maxIdle);
jedisPoolConfig.setMaxWaitMillis(maxWaitMillis);
JedisPool jedisPool = new JedisPool(jedisPoolConfig, host, port, timeout, password);
return jedisPool;
}
}
}
4、在实现类中使用
package com.sjx.service.impl;
import java.util.List;
import javax.annotation.Resource;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;
import com.alibaba.fastjson.JSON;
import com.sjx.dao.AttachmentDao;
import com.sjx.entity.Attachment;
import com.sjx.service.AttachmentService;
import com.sjx.util.ResultMap;
@Service
public class AttachmentServiceImpl implements AttachmentService {
@Resource
private AttachmentDao attachmentdao;
@Autowired
StringRedisTemplate stringRedisTemplate;
@Override
public ResultMap insertSelective(Attachment attachment) {
// TODO Auto-generated method stub
int insert = attachmentdao.insert(attachment);
if (insert < 0) {
return ResultMap.error("添加失败");
}
return ResultMap.ok("添加成功");
}
@Override
public ResultMap deleteByPrimaryKey(Long id) {
// TODO Auto-generated method stub
int deleteByPrimaryKey = attachmentdao.deleteByPrimaryKey(id);
if (deleteByPrimaryKey < 0) {
return ResultMap.error("删除失败");
}
return ResultMap.ok("删除成功");
}
@Override
public ResultMap selectByPrimaryKey(Long id) {
Attachment selectByPrimaryKey = attachmentdao.selectByPrimaryKey(id);
stringRedisTemplate.opsForValue().append("attachment",JSON.toJSONString(selectByPrimaryKey));
ResultMap resultMap = new ResultMap();
resultMap.put("Attachment", selectByPrimaryKey);
return resultMap;
}
@Override
public ResultMap SelectiveSelectByAttachment(Attachment attachment) {
List<Attachment> selectiveSelectByAttachment = attachmentdao.SelectiveSelectByAttachment(attachment);
stringRedisTemplate.opsForList().leftPush("attachmentList", JSON.toJSONString(selectiveSelectByAttachment));
ResultMap resultMap = new ResultMap();
resultMap.put("Attachment", selectiveSelectByAttachment);
return resultMap;
}
@Override
public ResultMap updateByPrimaryKeySelective(Attachment attachment) {
int updateByPrimaryKeySelective = attachmentdao.updateByPrimaryKeySelective(attachment);
if (updateByPrimaryKeySelective < 0) {
return ResultMap.error("更新失败");
}
return ResultMap.ok("更新成功");
}
}
附加:ResultMap工具类
package com.sjx.util;
import java.util.HashMap;
import java.util.Map;
/**
*
* @ClassName: ResultMap
* @Description: 返回数据通用处理
* @author: 沈均晓
* @date: 2018年9月21日 上午11:54:14
*/
public class ResultMap extends HashMap<String, Object> {
private static final long serialVersionUID = 1L;
public ResultMap() {
put("code", 200);
put("msg", "操作成功");
}
public static ResultMap error() {
return error(201, "操作失败");
}
public static ResultMap error(String msg) {
return error(500, msg);
}
public static ResultMap error(int code, String msg) {
ResultMap resultMap = new ResultMap();
resultMap.put("code", code);
resultMap.put("msg", msg);
return resultMap;
}
public static ResultMap error(String code, String msg) {
ResultMap resultMap = new ResultMap();
resultMap.put("code", code);
resultMap.put("msg", msg);
return resultMap;
}
public static ResultMap ok(String msg) {
ResultMap resultMap = new ResultMap();
resultMap.put("msg", msg);
return resultMap;
}
public static ResultMap ok(Map<String, Object> map) {
ResultMap resultMap = new ResultMap();
resultMap.putAll(map);
return resultMap;
}
public static ResultMap ok() {
return new ResultMap();
}
@Override
public ResultMap put(String key, Object value) {
super.put(key, value);
return this;
}
}