前言
一直没机会做spring生态圈的框架,公司选择的是一些小众的微服务,鉴于此考虑,丰富自己的技术栈,花了两天时间从网上各网站上学习了springboot一些基础知识。 本章只介绍springboot微服务集成redis,用于存放或访问项目中用到的缓存数据库。
环境准备
- IntelliJ IDEA
- 前一章中搭建的微服务框架
开始集成
- pom.xml中增加依赖包
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
- 在application.yml中配置redis服务连接信息:
spring:
#日志记录模式
profiles:
active: dev
banner:
charset: "UTF-8"
location: classpath:/banner.txt
datasource:
url: jdbc:mysql://localhost:3306/test
username: root
password: xxx
driver-class-name: com.mysql.cj.jdbc.Driver
redis:
#url: redis://user:password@example.com:6379
#redis机器ip
host: 127.0.0.1
#redis端口
port: 6379
#redis密码
password:
#redis超时时间(毫秒),如果不设置,取默认值2000
timeout: 10000
jedis:
pool:
#最大空闲数
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
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
#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。
maxWait: 1000
#连接的最小空闲时间 默认1800000毫秒(30分钟)
#minEvictableIdleTimeMillis: 300000
#每次释放连接的最大数目,默认3
#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
timeBetweenEvictionRuns: 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
#testOnBorrow: true
#在空闲时检查有效性, 默认false
#testWhileIdle: true
- 在demo包下编写redis配置类,用于接收并解析yml中所配置的redis服务信息,并可以构建redis模板,redis连接工厂:
package com.example.demo;
import org.springframework.boot.autoconfigure.AutoConfigureAfter;
import org.springframework.boot.autoconfigure.data.redis.RedisAutoConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.io.Serializable;
/**
* 类功能描述:<br>
* <ul>
* <li>类功能描述1<br>
* <li>类功能描述2<br>
* <li>类功能描述3<br>
* </ul>
* 修改记录:<br>
* <ul>
* <li>修改记录描述1<br>
* <li>修改记录描述2<br>
* <li>修改记录描述3<br>
* </ul>
*
* @author xuefl
* @version 5.0 since 2020-01-02
*/
@Configuration
@AutoConfigureAfter(RedisAutoConfiguration.class)
public class RedisConfig {
@Bean
public RedisTemplate<String, Serializable> redisCacheTemplate(LettuceConnectionFactory redisConnectionFactory) {
RedisTemplate<String, Serializable> template = new RedisTemplate<>();
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
template.setConnectionFactory(redisConnectionFactory);
return template;
}
}
- 为了方便后续对Redis数据库中数据的操作,在util包下新增redis操作工具类:
package com.example.demo.util;
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;
/**
* 类功能描述:<br>
* <ul>
* <li>类功能描述1<br>
* <li>类功能描述2<br>
* <li>类功能描述3<br>
* </ul>
* 修改记录:<br>
* <ul>
* <li>修改记录描述1<br>
* <li>修改记录描述2<br>
* <li>修改记录描述3<br>
* </ul>
*
* @author xuefl
* @version 5.0 since 2020-01-02
*/
@Service
public class RedisUtil {
@Autowired
private RedisTemplate redisTemplate;
/**
* 写入缓存
* @param key
* @param value
* @return
*/
public boolean set(final 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
*/
public boolean set(final String key, Object value, Long expireTime , TimeUnit timeUnit) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
redisTemplate.expire(key, expireTime, timeUnit);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 批量删除对应的value
* @param keys
*/
public void remove(final String... keys) {
for (String key : keys) {
remove(key);
}
}
/**
* 批量删除key
* @param pattern
*/
public void removePattern(final String pattern) {
Set<Serializable> keys = redisTemplate.keys(pattern);
if (keys.size() > 0){
redisTemplate.delete(keys);
}
}
/**
* 删除对应的value
* @param key
*/
public void remove(final String key) {
if (exists(key)) {
redisTemplate.delete(key);
}
}
/**
* 判断缓存中是否有对应的value
* @param key
* @return
*/
public boolean exists(final String key) {
return redisTemplate.hasKey(key);
}
/**
* 读取缓存
* @param key
* @return
*/
public Object get(final 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
*/
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
*/
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
*/
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
*/
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
*/
public void add(String key,Object value){
SetOperations<String, Object> set = redisTemplate.opsForSet();
set.add(key,value);
}
/**
* 集合获取
* @param key
* @return
*/
public Set<Object> setMembers(String key){
SetOperations<String, Object> set = redisTemplate.opsForSet();
return set.members(key);
}
/**
* 有序集合添加
* @param key
* @param value
* @param scoure
*/
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
*/
public Set<Object> rangeByScore(String key,double scoure,double scoure1){
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
return zset.rangeByScore(key, scoure, scoure1);
}
}
- 定义redis controller类,在controller包下编写RedisController类:
package com.example.demo.controller;
import com.example.demo.util.RedisUtil;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RestController;
/**
* 类功能描述:<br>
* <ul>
* <li>类功能描述1<br>
* <li>类功能描述2<br>
* <li>类功能描述3<br>
* </ul>
* 修改记录:<br>
* <ul>
* <li>修改记录描述1<br>
* <li>修改记录描述2<br>
* <li>修改记录描述3<br>
* </ul>
*
* @author xuefl
* @version 5.0 since 2020-01-02
*/
@RestController
@RequestMapping("/redis")
@Api(value = "SwaggerValue", tags={"SwaggerController"},description = "swagger应用", produces = MediaType.APPLICATION_JSON_VALUE)
public class RedisController {
@Autowired
private RedisUtil redisUtil;
//添加
@RequestMapping(value="/add", method = RequestMethod.GET)
@ApiOperation(value="redis",httpMethod = "GET",notes="test set redis key",produces = MediaType.APPLICATION_JSON_VALUE)
public boolean saveRedis(){
return redisUtil.set("a","test");
}
//获取
@GetMapping(value="/get")
@ApiOperation(value="redis",httpMethod = "GET",notes="test get redis key",produces = MediaType.APPLICATION_JSON_VALUE)
public Object getRedis(){
return redisUtil.get("a");
}
}
此类注入redisUtil工具类,引用其对数据的CURD方法,进行业务操作,然后定义相关的uri,用于http访问,此处只定义了两个:一个新增key-value、一个查询key。
- 启动DemoApplication类,访问swagger页面测试结果: