本篇基于Springboot2.0 + Redis实现数据缓存以及分库存储,RedisTemplate是SpringDataRedis中对JedisApi的高度封装。其实在Springboot的官网上我们也能看到,官方现在推荐的是SpringDataRedis形式,相对于Jedis来说可以方便地更换Redis的Java客户端,其比Jedis多了自动管理连接池的特性,方便与其他Spring框架进行搭配使用如:SpringCache。
一、目录结构

二、pom.xml文件
引入reids依赖
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
完整的pom文件代码
<?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>
<groupId>com.loafer</groupId>
<artifactId>springboot07</artifactId>
<version>1.0-SNAPSHOT</version>
<name>springboot07</name>
<url>http://www.example.com</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>11</maven.compiler.source>
<maven.compiler.target>11</maven.compiler.target>
</properties>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.1.3.RELEASE</version>
</parent>
<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.11</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!--springboot连接数据库-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>1.3.2</version>
</dependency>
<!-- 分页插件 -->
<dependency>
<groupId>com.github.pagehelper</groupId>
<artifactId>pagehelper-spring-boot-starter</artifactId>
<version>1.2.5</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>2.9.0</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
<dependency>
<groupId>org.apache.activemq</groupId>
<artifactId>activemq-all</artifactId>
<version>5.15.7</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.alibaba/fastjson -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.58</version>
</dependency>
</dependencies>
</project>
三、创建redis.properties配置文件
##Matser的ip地址
redis.hostName=192.168.0.11
#端口号
redis.port=6379
#如果有密码
redis.password=
#客户端超时时间单位是毫秒 默认是2000
redis.timeout=10000
#最大空闲数
redis.maxIdle=300
#连接池的最大数据库连接数。设为0表示无限制,如果是jedis 2.4以后用redis.maxTotal
#redis.maxActive=600
#控制一个pool可分配多少个jedis实例,用来替换上面的redis.maxActive,如果是jedis 2.4以后用该属性
redis.maxTotal=1000
#最大建立连接等待时间。如果超过此时间将接到异常。设为-1表示无限制。
redis.maxWaitMillis=1000
#连接的最小空闲时间 默认1800000毫秒(30分钟)
redis.minEvictableIdleTimeMillis=300000
#每次释放连接的最大数目,默认3
redis.numTestsPerEvictionRun=1024
#逐出扫描的时间间隔(毫秒) 如果为负数,则不运行逐出线程, 默认-1
redis.timeBetweenEvictionRunsMillis=30000
#是否在从池中取出连接前进行检验,如果检验失败,则从池中去除连接并尝试取出另一个
redis.testOnBorrow=true
#在空闲时检查有效性, 默认false
redis.testWhileIdle=true
这些配置并不一定都需要,按照情况添加,全都添加也无大碍,其中我们必须要指定Redis的地址,端口
四、项目配置yml文件application.yml
##端口号设置
server:
port: 8001
##访问项目根路径设置
servlet:
context-path: /boot
spring:
##数据源配置
datasource:
url: jdbc:mysql://localhost:3306/test?serverTimezone=UTC&useUnicode=true&characterEncoding=utf8
username: root
password: pass
driver-class-name: com.mysql.jdbc.Driver
##mybatis配置
mybatis:
type-aliases-package: com.loafer.entity
mapper-locations: classpath:mapper/*.xml
##配置打印sql
logging:
level:
com.loafer.mapper: DEBUG
##pagehelper分页插件配置
pagehelper:
helper-dialect: mysql
reasonable: true
support-methods-arguments: true
params: count=countSql
五、添加配置类RedisConfig.java
package com.loafer.config;
import com.loafer.utils.FastJson2JsonRedisSerializer;
import com.loafer.utils.RedisTemplate;
import com.loafer.utils.RedisUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.PropertySource;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisPassword;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.jedis.JedisClientConfiguration;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.time.Duration;
/**
* @ClassName RedisConfig
* @Description [Redis缓存配置类]
**/
@Configuration
@PropertySource("classpath:redis.properties")
@Slf4j
public class RedisConfig extends CachingConfigurerSupport {
@Value("${redis.hostName}")
private String hostName;
@Value("${redis.password}")
private String password;
@Value("${redis.port}")
private Integer port;
@Value("${redis.maxIdle}")
private Integer maxIdle;
@Value("${redis.timeout}")
private Integer timeout;
@Value("${redis.maxTotal}")
private Integer maxTotal;
@Value("${redis.maxWaitMillis}")
private Integer maxWaitMillis;
@Value("${redis.minEvictableIdleTimeMillis}")
private Integer minEvictableIdleTimeMillis;
@Value("${redis.numTestsPerEvictionRun}")
private Integer numTestsPerEvictionRun;
@Value("${redis.timeBetweenEvictionRunsMillis}")
private long timeBetweenEvictionRunsMillis;
@Value("${redis.testOnBorrow}")
private boolean testOnBorrow;
@Value("${redis.testWhileIdle}")
private boolean testWhileIdle;
/**
* @return: org.springframework.data.redis.connection.jedis.JedisConnectionFactory
* @Description: Jedis配置
*/
@Bean
public JedisConnectionFactory JedisConnectionFactory(){
RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration ();
redisStandaloneConfiguration.setHostName(hostName);
redisStandaloneConfiguration.setPort(port);
//由于我们使用了动态配置库,所以此处省略
//redisStandaloneConfiguration.setDatabase(database);
redisStandaloneConfiguration.setPassword(RedisPassword.of(password));
JedisClientConfiguration.JedisClientConfigurationBuilder jedisClientConfiguration = JedisClientConfiguration.builder();
jedisClientConfiguration.connectTimeout(Duration.ofMillis(timeout));
JedisConnectionFactory factory = new JedisConnectionFactory(redisStandaloneConfiguration,
jedisClientConfiguration.build());
return factory;
}
/**
* @return: com.springboot.demo.base.utils.RedisTemplate
* @Description: 实例化 RedisTemplate 对象
*/
@Bean
public RedisTemplate functionDomainRedisTemplate(RedisConnectionFactory redisConnectionFactory) {
log.info("RedisTemplate实例化成功!");
RedisTemplate redisTemplate = new RedisTemplate();
initDomainRedisTemplate(redisTemplate, redisConnectionFactory);
return redisTemplate;
}
/**
* @return: org.springframework.data.redis.serializer.RedisSerializer
* @Description: 引入自定义序列化
*/
@Bean
public RedisSerializer fastJson2JsonRedisSerializer() {
return new FastJson2JsonRedisSerializer<Object>(Object.class);
}
/**
* @param: [redisTemplate, factory]
* @return: void
* @Description: 设置数据存入 redis 的序列化方式,并开启事务
*/
private void initDomainRedisTemplate(RedisTemplate redisTemplate, RedisConnectionFactory factory) {
//如果不配置Serializer,那么存储的时候缺省使用String,如果用User类型存储,那么会提示错误User can't cast to String!
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
redisTemplate.setValueSerializer(fastJson2JsonRedisSerializer());
// 开启事务
redisTemplate.setEnableTransactionSupport(true);
redisTemplate.setConnectionFactory(factory);
}
/**
* @param: [redisTemplate]
* @return: com.springboot.demo.base.utils.RedisUtil
* @Description: 注入封装RedisTemplate
*/
@Bean(name = "redisUtil")
public RedisUtil redisUtil(RedisTemplate redisTemplate) {
log.info("RedisUtil注入成功!");
RedisUtil redisUtil = new RedisUtil();
redisUtil.setRedisTemplate(redisTemplate);
return redisUtil;
}
}
六、Redis工具类
1.接下来还需要一个序列化操作类,帮助我们完成redis值的序列化,添加FastJson2JsonRedisSerializer.java,实现RedisSerializer接口,实现其中的序列化和反序列化方法。
/**
* @ClassName FastJson2JsonRedisSerializer
* @Description [自定义序列化]
**/
public class FastJson2JsonRedisSerializer<T> implements RedisSerializer<T> {
public static final Charset DEFAULT_CHARSET = Charset.forName("UTF-8");
private Class<T> clazz;
//添加白名,否则反序列化报错 com.alibaba.fastjson.JSONException: autoType is not support
//使用Redis 配置替换fastjson
static {
ParserConfig.getGlobalInstance().addAccept("com.loafer");
// ParserConfig.getGlobalInstance().addAccept("com.xxx.xxx.redis");
}
public FastJson2JsonRedisSerializer(Class<T> clazz) {
super();
this.clazz = clazz;
}
@Override
public byte[] serialize(T t) throws SerializationException {
if (t == null) {
return new byte[0];
}
return JSON.toJSONString(t, SerializerFeature.WriteClassName).getBytes(DEFAULT_CHARSET);
}
@Override
public T deserialize(byte[] bytes) throws SerializationException {
if (bytes == null || bytes.length <= 0) {
return null;
}
String str = new String(bytes, DEFAULT_CHARSET);
return (T) JSON.parseObject(str, clazz);
}
}
2.添加RedisUtil.java,这就是最后实际操作中调用的redis操作工具类
public class RedisUtil{
@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, int indexdb){
redisTemplate.indexdb.set(indexdb);
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,int indexdb) {
try {
redisTemplate.indexdb.set(indexdb);
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{
redisTemplate.opsForValue().set(key, value);
}
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
/**
* 递增
* @param key 键
* @param by 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
* @param by 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
* @param time 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
* @param time 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;
}
}
}
注意:工具类中的set方法是最基本的set方法,加入int型的indexdb参数,用来接收库编号,通过redisTemplate.indexdb.set(indexdb);完成选库操作,由于我们在内部使用finally清除了选库,所以不必担心下次操作库的缓存问题。
3.重新redisTemplate,并加入选redis库(节点)的操作
/**
* @Description [重写RedisTemplate,加入选库]
**/
public class RedisTemplate extends org.springframework.data.redis.core.RedisTemplate {
public static ThreadLocal<Integer> indexdb = new ThreadLocal<Integer>(){
@Override protected Integer initialValue() { return 0; }
};
@Override
protected RedisConnection preProcessConnection(RedisConnection connection, boolean existingConnection) {
try {
Integer dbIndex = indexdb.get();
//如果设置了dbIndex
if (dbIndex != null) {
if (connection instanceof JedisConnection) {
if (((JedisConnection) connection).getNativeConnection().getDB().intValue() != dbIndex) {
connection.select(dbIndex);
}
} else {
connection.select(dbIndex);
}
} else {
connection.select(0);
}
} finally {
indexdb.remove();
}
return super.preProcessConnection(connection, existingConnection);
}
}
七、控制层
/**
* @ClassName RedisTestController
**/
@Controller
@RequestMapping("/redis")
public class RedisTestController extends BaseController {
@Autowired
RedisUtil redisUtil;
/**
* @Description: 测试redis存储&读取
*/
@RequestMapping(value="/test")
@ResponseBody
public ModelMap test(){
try {
redisUtil.set("redisTemplate","这是一条测试数据", RedisConstants.datebase2);
String value = redisUtil.get("redisTemplate",RedisConstants.datebase2).toString();
logger.info("redisValue="+value);
logger.info("读取redis成功");
return getModelMap(StateParameter.SUCCESS, value, "操作成功");
} catch (Exception e) {
e.printStackTrace();
return getModelMap(StateParameter.FAULT, null, "操作失败");
}
}
@RequestMapping(value="/setUser")
@ResponseBody
public ModelMap setUser() {
try {
User user = new User();
user.setId(1l);
user.setName("隔壁老王");
user.setAge(28);
redisUtil.set("user", user, RedisConstants.datebase1);
return getModelMap(StateParameter.SUCCESS, user, "操作成功");
} catch (Exception e) {
e.printStackTrace();
return getModelMap(StateParameter.FAULT, null, "操作失败");
}
}
@RequestMapping(value="/getUser")
@ResponseBody
public ModelMap getUser(){
try {
User res = (User)redisUtil.get("user",RedisConstants.datebase1);
logger.info("res="+res.toString());
logger.info("读取redis成功");
return getModelMap(StateParameter.SUCCESS, res, "操作成功");
} catch (Exception e) {
e.printStackTrace();
return getModelMap(StateParameter.FAULT, null, "操作失败");
}
}
}
八、项目启动类
/**
* @ClassName BootApplication
* @Description [项目启动类]
**/
@SpringBootApplication
public class BootApplication {
public static void main(String[] args){
SpringApplication.run(BootApplication.class,args);
}
}
九、测试
访问:http://localhost:8001/boot/redis/test,返回成功,打开redis客户端工具,可以看到在db2中存入了该数据
依次访问http://localhost:8001/boot/redis/setUser ;http://localhost:8001/boot/redis/getUser,返回成功,打开redis客户端工具,可以看到db1中存入了该数据,并且http://localhost:8001/boot/redis/getUser访问可以从redis拿到数据
完整代码下载地址:https://github.com/loafer7423/springboot/tree/master/springboot07