微信小程式使用redis作為中控伺服器儲存accessToken實現多處共享accessToken
阿新 • • 發佈：2018-12-28
使用springboot框架整合, 因為涉及到業務方面的程式碼, 本篇博文沒有寫怎麼獲取access_token ,獲取access_token的方法網上一大片, 隨便copy一個就可以了, 本文主要講解如何整合redis, 然後寫入,查詢,實現多個地方共享access_token
引進依賴
springboot框架整合任何技術都需要從匯入依賴開始, redis也不會例外, 在 common 模組中的gradle.build 檔案的dependencies下面引入 redis的依賴:
dependencies { // https://mvnrepository.com/artifact/org.springframework.boot/spring-boot-starter-data-redis compile group: 'org.springframework.boot', name: 'spring-boot-starter-data-redis', version: '2.0.4.RELEASE' // https://mvnrepository.com/artifact/org.springframework.data/spring-data-redis compile group: 'org.springframework.data', name: 'spring-data-redis', version: '2.0.7.RELEASE' }
一共是2個依賴包, 一個是 ‘spring-boot-starter-data-redis’, 另外一個是 ‘spring-data-redis’;
配置 redisConfig.java 檔案
在 api 模組中建立包名config, 並在其下面建立redis的配置檔案:
package com.keppel.config;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org. 配置application.yml檔案
配置檔案加入以下配置
server:
port: 8080
spring:
redis:
host: 220.49.145.221
port: 6379
password: xxxxxxx
database: 1
timeout: 5000
實際程式碼操控
首先, 定義一個AccessToken實體類, 注意,以下程式碼均使用了lombok外掛,自動生成get/set方法:
package com.keppel.user.entity;
import lombok.Data;
import java.io.Serializable;
import java.util.Date;
/**
* @Author: keppel
* @Date: Created in 18:33 2018/11/27
* @Description:
*/
@Data
public class AccessToken implements Serializable {
private String redisKey;
private Date createAt;
private String accessToken;
private Date expireAt;
}
建立基本的IRedisService,實現增刪改查等亂七八糟的方法
package com.keppel.user.service.redis;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import javax.annotation.Resource;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
/**
* @Author: YeFei
* @Date: Created in 18:35 2018/11/27
* @Description:
*/
public abstract class IRedisService<T> {
@Autowired
protected RedisTemplate, Object> redisTemplate;
@Resource
protected HashOperations, String, T> hashOperations;
/**
* 存入redis中的key
* @return
*/
protected abstract String getRedisKey();
/**
* 新增
* @param key key
* @param doamin 物件
* @param expire 過期時間(單位:秒),傳入 -1 時表示不設定過期時間
*/
public void put(String key, T doamin, long expire) {
hashOperations.put(getRedisKey(), key, doamin);
if (expire != -1) {
redisTemplate.expire(getRedisKey(), expire, TimeUnit.SECONDS);
}
}
public void remove(String key) {
hashOperations.delete(getRedisKey(), key);
}
public T get(String key) {
return hashOperations.get(getRedisKey(), key);
}
public List<T> getAll() {
return hashOperations.values(getRedisKey());
}
public Set getKeys() {
return hashOperations.keys(getRedisKey());
}
public boolean isKeyExists(String key) {
return hashOperations.hasKey(getRedisKey(), key);
}
public long count() {
return hashOperations.size(getRedisKey());
}
public void empty() {
Set set = hashOperations.keys(getRedisKey());
set.stream().forEach(key -> hashOperations.delete(getRedisKey(), key));
}
}
接著, 建立redis的介面, 使介面實現IReadService介面
package com.keppel.user.service.redis;
import com.keppel.user.entity.AccessToken;
import org.springframework.stereotype.Service;
/**
* Created by Administrator on 2017/3/1 16:00.
*/
@Service
public class RedisServiceImpl extends IRedisService {
private static final String REDIS_KEY = "TEST_REDIS_KEY";
@Override
protected String getRedisKey() {
return this.REDIS_KEY;
}
}
最後新增api新增入口
package com.keppel.api.user;
import com.keppel.user.entity.AccessToken;
import com.keppel.user.entity.User;
import com.keppel.user.service.UserService;
import com.keppel.user.service.redis.RedisServiceImpl;
import com.keppel.util.DateUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import java.util.Date;
/**
* @Author: YeFei
* @Date: Created in 0:43 2018/11/24
* @Description:
*/
@RestController
@RequestMapping(value = "/api/v1")
public class UserCtrl {
@Autowired
private UserService userService;
@Autowired
private RedisServiceImpl redisService;
@RequestMapping(value = "/save", method = RequestMethod.POST)
public String saveUser(
@RequestBody User user
) {
return userService.saveUser(user);
}
//查詢所有物件
@RequestMapping(value = "/redis/saveRedis", method = RequestMethod.GET)
public Object saveRedis() {
AccessToken accessToken = new AccessToken();
accessToken.setRedisKey("access_token");
accessToken.setAccessToken("this is accessToken content1");
accessToken.setCreateAt(new Date());
accessToken.setExpireAt(DateUtil.getDateAfterMinutes(1, new Date()));
redisService.put(accessToken.getRedisKey(), accessToken, -1);
return redisService.getAll();
}
//查詢所有物件
@RequestMapping(value = "/redis/getAll", method = RequestMethod.GET)
public Object getAll() {
return redisService.getAll();
}
//查詢所有物件
@RequestMapping(value = "/redis/getByKey", method = RequestMethod.GET)
public Object getByKey(@RequestParam(value = "key")String key) {
return redisService.get(key);
}
}
大概就是這樣了! AccessToken存到了中控伺服器, 就在也不用擔心多個伺服器同時更新的時候導致accessToken變更請求失敗!