本篇內(nèi)容主要講解“redis高效實(shí)現(xiàn)點(diǎn)贊、取消點(diǎn)贊的步驟”,感興趣的朋友不妨來看看。本文介紹的方法操作簡單快捷,實(shí)用性強(qiáng)。下面就讓小編來帶大家學(xué)習(xí)“Redis高效實(shí)現(xiàn)點(diǎn)贊、取消點(diǎn)贊的步驟”吧!
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Redis 安裝請自行查閱相關(guān)教程。
說下Docker 安裝運(yùn)行 Redis
docker run -d -p 6379:6379 redis:4.0.8
如果已經(jīng)安裝了 Redis,打開命令行,輸入啟動 Redis 的命令
redis-server
1.在 pom.xml 中引入依賴
org.springframework.boot
spring-boot-starter-data-redis
2.在啟動類上添加注釋 @EnableCaching
@SpringBootApplication
@EnableDiscoveryClient
@EnableSwagger2
@EnableFeignClients(basePackages = "com.solo.coderiver.project.client")
@EnableCaching
public class UserApplication {
public static void main(String[] args) {
SpringApplication.run(UserApplication.class, args);
}
}
3.編寫 Redis 配置類 RedisConfig
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
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.net.UnknownHostException;@Configuration
public class RedisConfig {
@Bean
@ConditionalOnMissingBean(name = "redisTemplate")
public RedisTemplate redisTemplate(
RedisConnectionFactory redisConnectionFactory)
throws UnknownHostException {
Jackson2JsonRedisSerializer
至此 Redis 在 SpringBoot 項(xiàng)目中的配置已經(jīng)完成,可以愉快的使用了。
Redis 可以存儲鍵與5種不同數(shù)據(jù)結(jié)構(gòu)類型之間的映射,這5種數(shù)據(jù)結(jié)構(gòu)類型分別為String(字符串)、List(列表)、Set(集合)、Hash(散列)和 Zset(有序集合)。
下面來對這5種數(shù)據(jù)結(jié)構(gòu)類型作簡單的介紹:
用 Redis 存儲兩種數(shù)據(jù),一種是記錄點(diǎn)贊人、被點(diǎn)贊人、點(diǎn)贊狀態(tài)的數(shù)據(jù),另一種是每個(gè)用戶被點(diǎn)贊了多少次,做個(gè)簡單的計(jì)數(shù)。
由于需要記錄點(diǎn)贊人和被點(diǎn)贊人,還有點(diǎn)贊狀態(tài)(點(diǎn)贊、取消點(diǎn)贊),還要固定時(shí)間間隔取出 Redis 中所有點(diǎn)贊數(shù)據(jù),分析了下 Redis 數(shù)據(jù)格式中 Hash 最合適。
因?yàn)?Hash 里的數(shù)據(jù)都是存在一個(gè)鍵里,可以通過這個(gè)鍵很方便的把所有的點(diǎn)贊數(shù)據(jù)都取出。這個(gè)鍵里面的數(shù)據(jù)還可以存成鍵值對的形式,方便存入點(diǎn)贊人、被點(diǎn)贊人和點(diǎn)贊狀態(tài)。
設(shè)點(diǎn)贊人的 id 為 likedPostId,被點(diǎn)贊人的 id 為 likedUserId ,點(diǎn)贊時(shí)狀態(tài)為 1,取消點(diǎn)贊狀態(tài)為 0。將點(diǎn)贊人 id 和被點(diǎn)贊人 id 作為鍵,兩個(gè) id 中間用 :: 隔開,點(diǎn)贊狀態(tài)作為值。
所以如果用戶點(diǎn)贊,存儲的鍵為:likedUserId::likedPostId,對應(yīng)的值為 1 。取消點(diǎn)贊,存儲的鍵為:likedUserId::likedPostId,對應(yīng)的值為 0 。取數(shù)據(jù)時(shí)把鍵用 :: 切開就得到了兩個(gè)id,也很方便。
在可視化工具 RDM 中看到的是這樣子
將具體操作方法封裝到了 RedisService 接口里
RedisService.java
import com.solo.coderiver.user.dataobject.UserLike;
import com.solo.coderiver.user.dto.LikedCountDTO;
import java.util.List;
public interface RedisService {
/**
* 點(diǎn)贊。狀態(tài)為1
* @param likedUserId
* @param likedPostId
*/
void saveLiked2Redis(String likedUserId, String likedPostId);
/**
* 取消點(diǎn)贊。將狀態(tài)改變?yōu)?
* @param likedUserId
* @param likedPostId
*/
void unlikeFromRedis(String likedUserId, String likedPostId);
/**
* 從Redis中刪除一條點(diǎn)贊數(shù)據(jù)
* @param likedUserId
* @param likedPostId
*/
void deleteLikedFromRedis(String likedUserId, String likedPostId);
/**
* 該用戶的點(diǎn)贊數(shù)加1
* @param likedUserId
*/
void incrementLikedCount(String likedUserId);
/**
* 該用戶的點(diǎn)贊數(shù)減1
* @param likedUserId
*/
void decrementLikedCount(String likedUserId);
/**
* 獲取Redis中存儲的所有點(diǎn)贊數(shù)據(jù)
* @return
*/
List getLikedDataFromRedis();
/**
* 獲取Redis中存儲的所有點(diǎn)贊數(shù)量
* @return
*/
List getLikedCountFromRedis();
}
實(shí)現(xiàn)類 RedisServiceImpl.java
import com.solo.coderiver.user.dataobject.UserLike;
import com.solo.coderiver.user.dto.LikedCountDTO;
import com.solo.coderiver.user.enums.LikedStatusEnum;
import com.solo.coderiver.user.service.LikedService;
import com.solo.coderiver.user.service.RedisService;
import com.solo.coderiver.user.utils.RedisKeyUtils;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.Cursor;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ScanOptions;
import org.springframework.stereotype.Service;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
@Service
@Slf4j
public class RedisServiceImpl implements RedisService {
@Autowired
RedisTemplate redisTemplate;
@Autowired
LikedService likedService;
@Override
public void saveLiked2Redis(String likedUserId, String likedPostId) {
String key = RedisKeyUtils.getLikedKey(likedUserId, likedPostId);
redisTemplate.opsForHash().put(RedisKeyUtils.MAP_KEY_USER_LIKED, key, LikedStatusEnum.LIKE.getCode());
}
@Override
public void unlikeFromRedis(String likedUserId, String likedPostId) {
String key = RedisKeyUtils.getLikedKey(likedUserId, likedPostId);
redisTemplate.opsForHash().put(RedisKeyUtils.MAP_KEY_USER_LIKED, key, LikedStatusEnum.UNLIKE.getCode());
}
@Override
public void deleteLikedFromRedis(String likedUserId, String likedPostId) {
String key = RedisKeyUtils.getLikedKey(likedUserId, likedPostId);
redisTemplate.opsForHash().delete(RedisKeyUtils.MAP_KEY_USER_LIKED, key);
}
@Override
public void incrementLikedCount(String likedUserId) {
redisTemplate.opsForHash().increment(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, likedUserId, 1);
}
@Override
public void decrementLikedCount(String likedUserId) {
redisTemplate.opsForHash().increment(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, likedUserId, -1);
}
@Override
public List getLikedDataFromRedis() {
Cursor> cursor = redisTemplate.opsForHash().scan(RedisKeyUtils.MAP_KEY_USER_LIKED, ScanOptions.NONE);
List list = new ArrayList<>();
while (cursor.hasNext()){
Map.Entry entry = cursor.next();
String key = (String) entry.getKey();
//分離出 likedUserId,likedPostId
String[] split = key.split("::");
String likedUserId = split[0];
String likedPostId = split[1];
Integer value = (Integer) entry.getValue();
//組裝成 UserLike 對象
UserLike userLike = new UserLike(likedUserId, likedPostId, value);
list.add(userLike);
//存到 list 后從 Redis 中刪除
redisTemplate.opsForHash().delete(RedisKeyUtils.MAP_KEY_USER_LIKED, key);
}
return list;
}
@Override
public List getLikedCountFromRedis() {
Cursor> cursor = redisTemplate.opsForHash().scan(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, ScanOptions.NONE);
List list = new ArrayList<>();
while (cursor.hasNext()){
Map.Entry map = cursor.next();
//將點(diǎn)贊數(shù)量存儲在 LikedCountDT
String key = (String)map.getKey();
LikedCountDTO dto = new LikedCountDTO(key, (Integer) map.getValue());
list.add(dto);
//從Redis中刪除這條記錄
redisTemplate.opsForHash().delete(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, key);
}
return list;
}
}
用到的工具類和枚舉類
RedisKeyUtils, 用于根據(jù)一定規(guī)則生成 key
public class RedisKeyUtils {
//保存用戶點(diǎn)贊數(shù)據(jù)的key
public static final String MAP_KEY_USER_LIKED = "MAP_USER_LIKED";
//保存用戶被點(diǎn)贊數(shù)量的key
public static final String MAP_KEY_USER_LIKED_COUNT = "MAP_USER_LIKED_COUNT";
/**
* 拼接被點(diǎn)贊的用戶id和點(diǎn)贊的人的id作為key。格式 222222::333333
* @param likedUserId 被點(diǎn)贊的人id
* @param likedPostId 點(diǎn)贊的人的id
* @return
*/
public static String getLikedKey(String likedUserId, String likedPostId){
StringBuilder builder = new StringBuilder();
builder.append(likedUserId);
builder.append("::");
builder.append(likedPostId);
return builder.toString();
}
}
LikedStatusEnum 用戶點(diǎn)贊狀態(tài)的枚舉類
package com.solo.coderiver.user.enums;
import lombok.Getter;
/**
* 用戶點(diǎn)贊的狀態(tài)
*/
@Getter
public enum LikedStatusEnum {
LIKE(1, "點(diǎn)贊"),
UNLIKE(0, "取消點(diǎn)贊/未點(diǎn)贊"),
;
private Integer code;
private String msg;
LikedStatusEnum(Integer code, String msg) {
this.code = code;
this.msg = msg;
}
}
數(shù)據(jù)庫表中至少要包含三個(gè)字段:被點(diǎn)贊用戶id,點(diǎn)贊用戶id,點(diǎn)贊狀態(tài)。再加上主鍵id,創(chuàng)建時(shí)間,修改時(shí)間就行了。
建表語句
create table `user_like`(
`id` int not null auto_increment,
`liked_user_id` varchar(32) not null comment '被點(diǎn)贊的用戶id',
`liked_post_id` varchar(32) not null comment '點(diǎn)贊的用戶id',
`status` tinyint(1) default '1' comment '點(diǎn)贊狀態(tài),0取消,1點(diǎn)贊',
`create_time` timestamp not null default current_timestamp comment '創(chuàng)建時(shí)間',
`update_time` timestamp not null default current_timestamp on update current_timestamp comment '修改時(shí)間',
primary key(`id`),
INDEX `liked_user_id`(`liked_user_id`),
INDEX `liked_post_id`(`liked_post_id`)
) comment '用戶點(diǎn)贊表';
對應(yīng)的對象 UserLike
import com.solo.coderiver.user.enums.LikedStatusEnum;
import lombok.Data;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.GenerationType;
import javax.persistence.Id;
/**
* 用戶點(diǎn)贊表
*/
@Entity
@Data
public class UserLike {
//主鍵id
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Integer id;
//被點(diǎn)贊的用戶的id
private String likedUserId;
//點(diǎn)贊的用戶的id
private String likedPostId;
//點(diǎn)贊的狀態(tài).默認(rèn)未點(diǎn)贊
private Integer status = LikedStatusEnum.UNLIKE.getCode();
public UserLike() {
}
public UserLike(String likedUserId, String likedPostId, Integer status) {
this.likedUserId = likedUserId;
this.likedPostId = likedPostId;
this.status = status;
}
}
操作數(shù)據(jù)庫同樣封裝在接口中
LikedService
import com.solo.coderiver.user.dataobject.UserLike;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import java.util.List;
public interface LikedService {
/**
* 保存點(diǎn)贊記錄
* @param userLike
* @return
*/
UserLike save(UserLike userLike);
/**
* 批量保存或修改
* @param list
*/
List saveAll(List list);
/**
* 根據(jù)被點(diǎn)贊人的id查詢點(diǎn)贊列表(即查詢都誰給這個(gè)人點(diǎn)贊過)
* @param likedUserId 被點(diǎn)贊人的id
* @param pageable
* @return
*/
Page getLikedListByLikedUserId(String likedUserId, Pageable pageable);
/**
* 根據(jù)點(diǎn)贊人的id查詢點(diǎn)贊列表(即查詢這個(gè)人都給誰點(diǎn)贊過)
* @param likedPostId
* @param pageable
* @return
*/
Page getLikedListByLikedPostId(String likedPostId, Pageable pageable);
/**
* 通過被點(diǎn)贊人和點(diǎn)贊人id查詢是否存在點(diǎn)贊記錄
* @param likedUserId
* @param likedPostId
* @return
*/
UserLike getByLikedUserIdAndLikedPostId(String likedUserId, String likedPostId);
/**
* 將Redis里的點(diǎn)贊數(shù)據(jù)存入數(shù)據(jù)庫中
*/
void transLikedFromRedis2DB();
/**
* 將Redis中的點(diǎn)贊數(shù)量數(shù)據(jù)存入數(shù)據(jù)庫
*/
void transLikedCountFromRedis2DB();
}
LikedServiceImpl 實(shí)現(xiàn)類
import com.solo.coderiver.user.dataobject.UserInfo;
import com.solo.coderiver.user.dataobject.UserLike;
import com.solo.coderiver.user.dto.LikedCountDTO;
import com.solo.coderiver.user.enums.LikedStatusEnum;
import com.solo.coderiver.user.repository.UserLikeRepository;
import com.solo.coderiver.user.service.LikedService;
import com.solo.coderiver.user.service.RedisService;
import com.solo.coderiver.user.service.UserService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import java.util.List;
@Service
@Slf4j
public class LikedServiceImpl implements LikedService {
@Autowired
UserLikeRepository likeRepository;
@Autowired
RedisService redisService;
@Autowired
UserService userService;
@Override
@Transactional
public UserLike save(UserLike userLike) {
return likeRepository.save(userLike);
}
@Override
@Transactional
public List saveAll(List list) {
return likeRepository.saveAll(list);
}
@Override
public Page getLikedListByLikedUserId(String likedUserId, Pageable pageable) {
return likeRepository.findByLikedUserIdAndStatus(likedUserId, LikedStatusEnum.LIKE.getCode(), pageable);
}
@Override
public Page getLikedListByLikedPostId(String likedPostId, Pageable pageable) {
return likeRepository.findByLikedPostIdAndStatus(likedPostId, LikedStatusEnum.LIKE.getCode(), pageable);
}
@Override
public UserLike getByLikedUserIdAndLikedPostId(String likedUserId, String likedPostId) {
return likeRepository.findByLikedUserIdAndLikedPostId(likedUserId, likedPostId);
}
@Override
@Transactional
public void transLikedFromRedis2DB() {
List list = redisService.getLikedDataFromRedis();
for (UserLike like : list) {
UserLike ul = getByLikedUserIdAndLikedPostId(like.getLikedUserId(), like.getLikedPostId());
if (ul == null){
//沒有記錄,直接存入
save(like);
}else{
//有記錄,需要更新
ul.setStatus(like.getStatus());
save(ul);
}
}
}
@Override
@Transactional
public void transLikedCountFromRedis2DB() {
List list = redisService.getLikedCountFromRedis();
for (LikedCountDTO dto : list) {
UserInfo user = userService.findById(dto.getId());
//點(diǎn)贊數(shù)量屬于無關(guān)緊要的操作,出錯無需拋異常
if (user != null){
Integer likeNum = user.getLikeNum() + dto.getCount();
user.setLikeNum(likeNum);
//更新點(diǎn)贊數(shù)量
userService.updateInfo(user);
}
}
}
}
數(shù)據(jù)庫的操作就這些,主要還是增刪改查。
定時(shí)任務(wù) Quartz 很強(qiáng)大,就用它了。
Quartz 使用步驟:
1.添加依賴
org.springframework.boot
spring-boot-starter-quartz
2.編寫配置文件
package com.solo.coderiver.user.config;
import com.solo.coderiver.user.task.LikeTask;
import org.quartz.*;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class QuartzConfig {
private static final String LIKE_TASK_IDENTITY = "LikeTaskQuartz";
@Bean
public JobDetail quartzDetail(){
return JobBuilder.newJob(LikeTask.class).withIdentity(LIKE_TASK_IDENTITY).storeDurably().build();
}
@Bean
public Trigger quartzTrigger(){
SimpleScheduleBuilder scheduleBuilder = SimpleScheduleBuilder.simpleSchedule()
// .withIntervalInSeconds(10) //設(shè)置時(shí)間周期單位秒
.withIntervalInHours(2) //兩個(gè)小時(shí)執(zhí)行一次
.repeatForever();
return TriggerBuilder.newTrigger().forJob(quartzDetail())
.withIdentity(LIKE_TASK_IDENTITY)
.withSchedule(scheduleBuilder)
.build();
}
}
3.編寫執(zhí)行任務(wù)的類繼承自 QuartzJobBean
package com.solo.coderiver.user.task;
import com.solo.coderiver.user.service.LikedService;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.time.DateUtils;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.quartz.QuartzJobBean;
import java.text.SimpleDateFormat;
import java.util.Date;
/**
* 點(diǎn)贊的定時(shí)任務(wù)
*/
@Slf4j
public class LikeTask extends QuartzJobBean {
@Autowired
LikedService likedService;
private SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
@Override
protected void executeInternal(JobExecutionContext jobExecutionContext) throws JobExecutionException {
log.info("LikeTask-------- {}", sdf.format(new Date()));
//將 Redis 里的點(diǎn)贊信息同步到數(shù)據(jù)庫里
likedService.transLikedFromRedis2DB();
likedService.transLikedCountFromRedis2DB();
}
}
在定時(shí)任務(wù)中直接調(diào)用 LikedService 封裝的方法完成數(shù)據(jù)同步。
到此,相信大家對“Redis高效實(shí)現(xiàn)點(diǎn)贊、取消點(diǎn)贊的步驟”有了更深的了解,不妨來實(shí)際操作一番吧!這里是創(chuàng)新互聯(lián)網(wǎng)站,更多相關(guān)內(nèi)容可以進(jìn)入相關(guān)頻道進(jìn)行查詢,關(guān)注我們,繼續(xù)學(xué)習(xí)!