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2 Commits

Author SHA1 Message Date
94729e5170 refactor(note):优化笔记点赞功能,使用 Roaring Bitmap 替代布隆过滤器
- 修改消费者组名称,统一命名规范
- 更新 HTTP 客户端测试用例中的授权令牌和笔记 ID
- 引入 NoteLikeDOMapper 并替换原有的 service 查询方式
- 将布隆过滤器相关逻辑全部替换为 Roaring Bitmap 实现
- 新增多个 Lua 脚本支持 Roaring Bitmap 的操作与初始化
- 添加 Roaring Bitmap 相关的 Redis Key 构建方法
- 删除旧有的布隆过滤器校验逻辑及冗余代码
- 更新 Redis Key 常量类,增加 Roaring Bitmap 相关定义
- 日志字典文件中新增 rbitmap 关键词
- 优化点赞和取消点赞流程,提升性能与准确性
2025-11-09 22:09:23 +08:00
6e0f226b42 feat(comment): 实现评论删除功能及相关缓存更新
- 新增删除一级评论及其子评论的逻辑
- 支持批量删除评论及递归查找回复评论
- 添加评论计数更新机制,包括 Redis 和数据库同步
- 实现评论热度值异步更新消息队列发送- 新增本地缓存删除消费者,支持广播模式清理缓存
- 扩展 CommentLevelEnum 枚举,增加 valueOf 方法用于类型转换- 在 NoteCountDOMapper 中新增更新评论总数的方法- 完善注释和日志记录,提升代码可读性和维护性
2025-11-09 15:30:04 +08:00
18 changed files with 449 additions and 48 deletions

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@@ -9,6 +9,7 @@
<w>mget</w>
<w>nacos</w>
<w>operationlog</w>
<w>rbitmap</w>
<w>rustfs</w>
<w>zadd</w>
<w>zrevrangebyscore</w>

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@@ -0,0 +1,184 @@
package com.hanserwei.hannote.comment.biz.consumer;
import cn.hutool.core.collection.CollUtil;
import com.google.common.collect.Lists;
import com.google.common.collect.Sets;
import com.google.common.util.concurrent.RateLimiter;
import com.hanserwei.framework.common.utils.JsonUtils;
import com.hanserwei.hannote.comment.biz.constants.MQConstants;
import com.hanserwei.hannote.comment.biz.constants.RedisKeyConstants;
import com.hanserwei.hannote.comment.biz.domain.dataobject.CommentDO;
import com.hanserwei.hannote.comment.biz.domain.mapper.CommentDOMapper;
import com.hanserwei.hannote.comment.biz.domain.mapper.NoteCountDOMapper;
import com.hanserwei.hannote.comment.biz.enums.CommentLevelEnum;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.apache.rocketmq.client.producer.SendCallback;
import org.apache.rocketmq.client.producer.SendResult;
import org.apache.rocketmq.spring.annotation.RocketMQMessageListener;
import org.apache.rocketmq.spring.core.RocketMQListener;
import org.apache.rocketmq.spring.core.RocketMQTemplate;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.messaging.support.MessageBuilder;
import org.springframework.stereotype.Component;
import java.util.List;
import java.util.Objects;
import java.util.Set;
@SuppressWarnings("UnstableApiUsage")
@Component
@Slf4j
@RocketMQMessageListener(consumerGroup = "han_note_group_" + MQConstants.TOPIC_DELETE_COMMENT, // Group
topic = MQConstants.TOPIC_DELETE_COMMENT // 消费的主题 Topic
)
public class DeleteCommentConsumer implements RocketMQListener<String> {
// 每秒创建 1000 个令牌
private final RateLimiter rateLimiter = RateLimiter.create(1000);
@Resource
private CommentDOMapper commentDOMapper;
@Resource
private NoteCountDOMapper noteCountDOMapper;
@Resource
private RedisTemplate<String, Object> redisTemplate;
@Resource
private RocketMQTemplate rocketMQTemplate;
@Override
public void onMessage(String body) {
// 令牌桶流控
rateLimiter.acquire();
log.info("## 【删除评论 - 后续业务处理】消费者消费成功, body: {}", body);
CommentDO commentDO = JsonUtils.parseObject(body, CommentDO.class);
// 评论级别
Integer level = null;
if (commentDO != null) {
level = commentDO.getLevel();
}
CommentLevelEnum commentLevelEnum = CommentLevelEnum.valueOf(level);
if (commentLevelEnum != null) {
switch (commentLevelEnum) {
case ONE -> // 一级评论
handleOneLevelComment(commentDO);
case TWO -> // 二级评论
handleTwoLevelComment(commentDO);
}
}
}
/**
* 一级评论处理
*
* @param commentDO 评论
*/
private void handleOneLevelComment(CommentDO commentDO) {
Long commentId = commentDO.getId();
Long noteId = commentDO.getNoteId();
// 1. 关联评论删除(一级评论下所有子评论,都需要删除)
int count = commentDOMapper.deleteByParentId(commentId);
// 2. 计数更新(笔记下总评论数)
// 更新 Redis 缓存
String redisKey = RedisKeyConstants.buildNoteCommentTotalKey(noteId);
boolean hasKey = redisTemplate.hasKey(redisKey);
if (hasKey) {
// 笔记评论总数 -1
redisTemplate.opsForHash().increment(redisKey, RedisKeyConstants.FIELD_COMMENT_TOTAL, -(count + 1));
}
// 更新 t_note_count 计数表
noteCountDOMapper.updateCommentTotalByNoteId(noteId, -(count + 1));
}
/**
* 二级评论处理
*
* @param commentDO 评论
*/
private void handleTwoLevelComment(CommentDO commentDO) {
Long commentId = commentDO.getId();
// 1. 批量删除关联评论(递归查询回复评论,并批量删除)
List<Long> replyCommentIds = Lists.newArrayList();
recurrentGetReplyCommentId(replyCommentIds, commentId);
// 被删除的行数
int count = 0;
if (CollUtil.isNotEmpty(replyCommentIds)) {
count = commentDOMapper.deleteByIds(replyCommentIds);
}
// 2. 更新一级评论的计数
Long parentCommentId = commentDO.getParentId();
String redisKey = RedisKeyConstants.buildCountCommentKey(parentCommentId);
boolean hasKey = redisTemplate.hasKey(redisKey);
if (hasKey) {
redisTemplate.opsForHash().increment(redisKey, RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL, -(count + 1));
}
// 3. 若是最早的发布的二级评论被删除,需要更新一级评论的 first_reply_comment_id
// 查询一级评论
CommentDO oneLevelCommentDO = commentDOMapper.selectById(parentCommentId);
Long firstReplyCommentId = oneLevelCommentDO.getFirstReplyCommentId();
// 若删除的是最早回复的二级评论
if (Objects.equals(firstReplyCommentId, commentId)) {
// 查询数据库,重新获取一级评论最早回复的评论
CommentDO earliestCommentDO = commentDOMapper.selectEarliestByParentId(parentCommentId);
// 最早回复的那条评论 ID。若查询结果为 null, 则最早回复的评论 ID 为 null
Long earliestCommentId = Objects.nonNull(earliestCommentDO) ? earliestCommentDO.getId() : null;
// 更新其一级评论的 first_reply_comment_id
commentDOMapper.updateFirstReplyCommentIdByPrimaryKey(earliestCommentId, parentCommentId);
}
// 4. 重新计算一级评论的热度值
Set<Long> commentIds = Sets.newHashSetWithExpectedSize(1);
commentIds.add(parentCommentId);
// 异步发送计数 MQ, 更新评论热度值
org.springframework.messaging.Message<String> message = MessageBuilder.withPayload(JsonUtils.toJsonString(commentIds))
.build();
// 异步发送 MQ 消息
rocketMQTemplate.asyncSend(MQConstants.TOPIC_COMMENT_HEAT_UPDATE, message, new SendCallback() {
@Override
public void onSuccess(SendResult sendResult) {
log.info("==> 【评论热度值更新】MQ 发送成功SendResult: {}", sendResult);
}
@Override
public void onException(Throwable throwable) {
log.error("==> 【评论热度值更新】MQ 发送异常: ", throwable);
}
});
}
/**
* 递归获取全部回复的评论 ID
*
* @param commentIds 评论 ID 列表
* @param commentId 评论 ID
*/
private void recurrentGetReplyCommentId(List<Long> commentIds, Long commentId) {
CommentDO replyCommentDO = commentDOMapper.selectByReplyCommentId(commentId);
if (Objects.isNull(replyCommentDO)) return;
commentIds.add(replyCommentDO.getId());
Long replyCommentId = replyCommentDO.getId();
// 递归调用
recurrentGetReplyCommentId(commentIds, replyCommentId);
}
}

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@@ -0,0 +1,29 @@
package com.hanserwei.hannote.comment.biz.consumer;
import com.hanserwei.hannote.comment.biz.constants.MQConstants;
import com.hanserwei.hannote.comment.biz.service.CommentService;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.apache.rocketmq.spring.annotation.MessageModel;
import org.apache.rocketmq.spring.annotation.RocketMQMessageListener;
import org.apache.rocketmq.spring.core.RocketMQListener;
import org.springframework.stereotype.Component;
@Component
@Slf4j
@RocketMQMessageListener(consumerGroup = "han_note_group_" + MQConstants.TOPIC_DELETE_COMMENT_LOCAL_CACHE, // Group
topic = MQConstants.TOPIC_DELETE_COMMENT_LOCAL_CACHE, // 消费的主题 Topic
messageModel = MessageModel.BROADCASTING) // 广播模式
public class DeleteCommentLocalCacheConsumer implements RocketMQListener<String> {
@Resource
private CommentService commentService;
@Override
public void onMessage(String body) {
Long commentId = Long.valueOf(body);
log.info("## 消费者消费成功, commentId: {}", commentId);
commentService.deleteCommentLocalCache(commentId);
}
}

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@@ -120,4 +120,30 @@ public interface CommentDOMapper extends BaseMapper<CommentDO> {
*/
List<CommentDO> selectChildCommentsByParentIdAndLimit(@Param("parentId") Long parentId,
@Param("limit") int limit);
/**
* 删除一级评论下,所有二级评论
*
* @param commentId 一级评论 ID
* @return 删除数量
*/
int deleteByParentId(Long commentId);
/**
* 批量删除评论
*
* @param commentIds 评论 ID 列表
* @return 删除数量
*/
int deleteByIds(@Param("commentIds") List<Long> commentIds);
/**
* 根据 reply_comment_id 查询
*
* @param commentId 回复的评论 ID
* @return 评论
*/
CommentDO selectByReplyCommentId(Long commentId);
}

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@@ -3,6 +3,7 @@ package com.hanserwei.hannote.comment.biz.domain.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.hanserwei.hannote.comment.biz.domain.dataobject.NoteCountDO;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Param;
@Mapper
public interface NoteCountDOMapper extends BaseMapper<NoteCountDO> {
@@ -14,4 +15,14 @@ public interface NoteCountDOMapper extends BaseMapper<NoteCountDO> {
* @return 笔记评论总数
*/
Long selectCommentTotalByNoteId(Long noteId);
/**
* 更新评论总数
*
* @param noteId 笔记 ID
* @param count 评论总数
* @return 更新数量
*/
int updateCommentTotalByNoteId(@Param("noteId") Long noteId,
@Param("count") int count);
}

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@@ -3,6 +3,8 @@ package com.hanserwei.hannote.comment.biz.enums;
import lombok.AllArgsConstructor;
import lombok.Getter;
import java.util.Objects;
@Getter
@AllArgsConstructor
public enum CommentLevelEnum {
@@ -14,4 +16,18 @@ public enum CommentLevelEnum {
private final Integer code;
/**
* 根据类型 code 获取对应的枚举
*
* @param code 类型 code
* @return 枚举
*/
public static CommentLevelEnum valueOf(Integer code) {
for (CommentLevelEnum commentLevelEnum : CommentLevelEnum.values()) {
if (Objects.equals(code, commentLevelEnum.getCode())) {
return commentLevelEnum;
}
}
return null;
}
}

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@@ -54,4 +54,11 @@ public interface CommentService extends IService<CommentDO> {
* @return 响应
*/
Response<?> deleteComment(DeleteCommentReqVO deleteCommentReqVO);
/**
* 删除本地评论缓存
*
* @param commentId 评论ID
*/
void deleteCommentLocalCache(Long commentId);
}

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@@ -718,6 +718,11 @@ public class CommentServiceImpl extends ServiceImpl<CommentDOMapper, CommentDO>
return Response.success();
}
@Override
public void deleteCommentLocalCache(Long commentId) {
LOCAL_CACHE.invalidate(commentId);
}
/**
* 初始化评论点赞布隆过滤器
*

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@@ -201,4 +201,26 @@
order by create_time
limit #{limit}
</select>
<delete id="deleteByParentId" parameterType="long">
delete
from t_comment
where parent_id = #{commentId}
</delete>
<delete id="deleteByIds" parameterType="map">
delete
from t_comment
where id in
<foreach collection="commentIds" item="commentId" open="(" separator="," close=")">
#{commentId}
</foreach>
</delete>
<select id="selectByReplyCommentId" resultMap="BaseResultMap" parameterType="long">
select
<include refid="Base_Column_List"/>
from t_comment
where reply_comment_id = #{commentId}
</select>
</mapper>

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@@ -20,4 +20,10 @@
from t_note_count
where note_id = #{noteId}
</select>
<update id="updateCommentTotalByNoteId" parameterType="map">
update t_note_count
set comment_total = comment_total + #{count}
where note_id = #{noteId}
</update>
</mapper>

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@@ -28,7 +28,7 @@ import java.util.stream.Collectors;
@Component
@Slf4j
@RocketMQMessageListener(
consumerGroup = "han_note_group_" + MQConstants.TOPIC_LIKE_OR_UNLIKE,
consumerGroup = "han_note_count_group_" + MQConstants.TOPIC_LIKE_OR_UNLIKE,
topic = MQConstants.TOPIC_LIKE_OR_UNLIKE
)
public class CountNoteLikeConsumer implements RocketMQListener<String> {

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@@ -7,6 +7,11 @@ public class RedisKeyConstants {
*/
public static final String NOTE_DETAIL_KEY = "note:detail:";
/**
* Roaring Bitmap用户笔记点赞 前缀
*/
public static final String R_BITMAP_USER_NOTE_LIKE_LIST_KEY = "rbitmap:note:likes:";
/**
* 布隆过滤器:用户笔记点赞
*/
@@ -76,4 +81,14 @@ public class RedisKeyConstants {
public static String buildUserNoteCollectZSetKey(Long userId) {
return USER_NOTE_COLLECT_ZSET_KEY + userId;
}
/**
* 构建完整的 Roaring Bitmap用户笔记点赞 KEY
*
* @param userId 用户ID
* @return Roaring Bitmap用户笔记点赞 KEY
*/
public static String buildRBitmapUserNoteLikeListKey(Long userId) {
return R_BITMAP_USER_NOTE_LIKE_LIST_KEY + userId;
}
}

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@@ -21,6 +21,7 @@ import com.hanserwei.hannote.note.biz.domain.dataobject.NoteDO;
import com.hanserwei.hannote.note.biz.domain.dataobject.NoteLikeDO;
import com.hanserwei.hannote.note.biz.domain.dataobject.TopicDO;
import com.hanserwei.hannote.note.biz.domain.mapper.NoteDOMapper;
import com.hanserwei.hannote.note.biz.domain.mapper.NoteLikeDOMapper;
import com.hanserwei.hannote.note.biz.enums.*;
import com.hanserwei.hannote.note.biz.model.dto.CollectUnCollectNoteMqDTO;
import com.hanserwei.hannote.note.biz.model.dto.LikeUnlikeNoteMqDTO;
@@ -76,6 +77,8 @@ public class NoteServiceImpl extends ServiceImpl<NoteDOMapper, NoteDO> implement
private RedisTemplate<String, String> redisTemplate;
@Resource
private RocketMQTemplate rocketMQTemplate;
@Resource
private NoteLikeDOMapper noteLikeDOMapper;
/**
* 笔记详情本地缓存
@@ -630,14 +633,17 @@ public class NoteServiceImpl extends ServiceImpl<NoteDOMapper, NoteDO> implement
// 2. 判断目标笔记,是否已经点赞过
Long userId = LoginUserContextHolder.getUserId();
// 布隆过滤器Key
String bloomUserNoteLikeListKey = RedisKeyConstants.buildBloomUserNoteLikeListKey(userId);
// Roaring Bitmap Key
String rbitmapUserNoteLikeListKey = RedisKeyConstants.buildRBitmapUserNoteLikeListKey(userId);
DefaultRedisScript<Long> script = new DefaultRedisScript<>();
// Lua 脚本路径
script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/bloom_note_like_check.lua")));
script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/rbitmap_note_like_check.lua")));
// 返回值类型
script.setResultType(Long.class);
// 执行 Lua 脚本,拿到返回结果
Long result = redisTemplate.execute(script, Collections.singletonList(bloomUserNoteLikeListKey), noteId);
Long result = redisTemplate.execute(script, Collections.singletonList(rbitmapUserNoteLikeListKey), noteId);
NoteLikeLuaResultEnum noteLikeLuaResultEnum = NoteLikeLuaResultEnum.valueOf(result);
@@ -659,38 +665,25 @@ public class NoteServiceImpl extends ServiceImpl<NoteDOMapper, NoteDO> implement
// 目标笔记已经被点赞
if (count > 0) {
// 异步初始化布隆过滤器
threadPoolTaskExecutor.submit(() -> batchAddNoteLike2BloomAndExpire(userId, expireSeconds, bloomUserNoteLikeListKey));
// 异步初始化 Roaring Bitmap
threadPoolTaskExecutor.submit(() ->
batchAddNoteLike2RBitmapAndExpire(userId, expireSeconds, rbitmapUserNoteLikeListKey));
throw new ApiException(ResponseCodeEnum.NOTE_ALREADY_LIKED);
}
// 若笔记未被点赞,查询当前用户是否点赞其他用户,有则同步初始化布隆过滤器
batchAddNoteLike2BloomAndExpire(userId, expireSeconds, bloomUserNoteLikeListKey);
// 若目标笔记未被点赞,查询当前用户是否点赞其他笔记,有则同步初始化 Roaring Bitmap
batchAddNoteLike2RBitmapAndExpire(userId, expireSeconds, rbitmapUserNoteLikeListKey);
// 若数据库中也没有点赞记录,说明该用户还未点赞过任何笔记
// 添加当前点赞笔记 ID 到 Roaring Bitmap 中
// Lua 脚本路径
script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/bloom_add_note_like_and_expire.lua")));
script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/rbitmap_add_note_like_and_expire.lua")));
// 返回值类型
script.setResultType(Long.class);
redisTemplate.execute(script, Collections.singletonList(bloomUserNoteLikeListKey), noteId, expireSeconds);
redisTemplate.execute(script, Collections.singletonList(rbitmapUserNoteLikeListKey), noteId, expireSeconds);
}
// 目标笔记已经被点赞
case NOTE_LIKED -> {
// 校验 ZSet 列表中是否包含被点赞的笔记ID
Double score = redisTemplate.opsForZSet().score(userNoteLikeZSetKey, noteId);
if (Objects.nonNull(score)) {
throw new ApiException(ResponseCodeEnum.NOTE_ALREADY_LIKED);
}
// 若 Score 为空,则表示 ZSet 点赞列表中不存在,查询数据库校验
long count = noteLikeDOService.count(new LambdaQueryWrapper<>(NoteLikeDO.class)
.eq(NoteLikeDO::getNoteId, noteId)
.eq(NoteLikeDO::getStatus, LikeStatusEnum.LIKE.getCode()));
if (count > 0) {
// 数据库里面有点赞记录,而 Redis 中 ZSet 不存在,需要重新异步初始化 ZSet
asynInitUserNoteLikesZSet(userId, userNoteLikeZSetKey);
throw new ApiException(ResponseCodeEnum.NOTE_ALREADY_LIKED);
}
throw new ApiException(ResponseCodeEnum.NOTE_ALREADY_LIKED);
}
}
// 3. 更新用户 ZSET 点赞列表
@@ -768,6 +761,37 @@ public class NoteServiceImpl extends ServiceImpl<NoteDOMapper, NoteDO> implement
return Response.success();
}
/**
* 初始化笔记点赞 Roaring Bitmap
*
* @param userId 用户 ID
* @param expireSeconds 过期时间
* @param rbitmapUserNoteLikeListKey RBitmap 列表 Key
*/
private void batchAddNoteLike2RBitmapAndExpire(Long userId, long expireSeconds, String rbitmapUserNoteLikeListKey) {
try {
// 异步全量同步一下,并设置过期时间
List<NoteLikeDO> noteLikeDOS = noteLikeDOMapper.selectList(new LambdaQueryWrapper<>(NoteLikeDO.class)
.eq(NoteLikeDO::getUserId, userId));
if (CollUtil.isNotEmpty(noteLikeDOS)) {
DefaultRedisScript<Long> script = new DefaultRedisScript<>();
// Lua 脚本路径
script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/rbitmap_batch_add_note_like_and_expire.lua")));
// 返回值类型
script.setResultType(Long.class);
// 构建 Lua 参数
List<Object> luaArgs = Lists.newArrayList();
noteLikeDOS.forEach(noteLikeDO -> luaArgs.add(noteLikeDO.getNoteId())); // 将每个点赞的笔记 ID 传入
luaArgs.add(expireSeconds); // 最后一个参数是过期时间(秒)
redisTemplate.execute(script, Collections.singletonList(rbitmapUserNoteLikeListKey), luaArgs.toArray());
}
} catch (Exception e) {
log.error("## 异步初始化【笔记点赞】Roaring Bitmap 异常: ", e);
}
}
@Override
public Response<?> unlikeNote(UnlikeNoteReqVO unlikeNoteReqVO) {
// 笔记ID
@@ -780,37 +804,38 @@ public class NoteServiceImpl extends ServiceImpl<NoteDOMapper, NoteDO> implement
// 当前登录用户ID
Long userId = LoginUserContextHolder.getUserId();
// 布隆过滤器Key
String bloomUserNoteLikeListKey = RedisKeyConstants.buildBloomUserNoteLikeListKey(userId);
// Roaring Bitmap Key
String rbitmapUserNoteLikeListKey = RedisKeyConstants.buildRBitmapUserNoteLikeListKey(userId);
DefaultRedisScript<Long> script = new DefaultRedisScript<>();
// Lua 脚本路径
script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/bloom_note_unlike_check.lua")));
script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/rbitmap_note_unlike_check.lua")));
// 返回值类型
script.setResultType(Long.class);
// 执行 Lua 脚本,拿到返回结果
Long result = redisTemplate.execute(script, Collections.singletonList(bloomUserNoteLikeListKey), noteId);
Long result = redisTemplate.execute(script, Collections.singletonList(rbitmapUserNoteLikeListKey), noteId);
NoteUnlikeLuaResultEnum noteUnlikeLuaResultEnum = NoteUnlikeLuaResultEnum.valueOf(result);
log.info("==> 【笔记取消点赞】Lua 脚本返回结果: {}", noteUnlikeLuaResultEnum);
switch (Objects.requireNonNull(noteUnlikeLuaResultEnum)) {
// 布隆过滤器不存在
case NOT_EXIST -> {//笔记不存在
//异步初始化布隆过滤器
// 异步初始化 Roaring Bitmap
threadPoolTaskExecutor.submit(() -> {
// 保底1天+随机秒数
long expireSeconds = 60 * 60 * 24 + RandomUtil.randomInt(60 * 60 * 24);
batchAddNoteLike2BloomAndExpire(userId, expireSeconds, bloomUserNoteLikeListKey);
batchAddNoteLike2RBitmapAndExpire(userId, expireSeconds, rbitmapUserNoteLikeListKey);
});
// 从数据库中校验笔记是否被点赞
long count = noteLikeDOService.count(new LambdaQueryWrapper<>(NoteLikeDO.class)
long count = noteLikeDOMapper.selectCount(new LambdaQueryWrapper<>(NoteLikeDO.class)
.eq(NoteLikeDO::getUserId, userId)
.eq(NoteLikeDO::getNoteId, noteId)
.eq(NoteLikeDO::getStatus, LikeStatusEnum.LIKE.getCode()));
if (count == 0) {
log.info("==> 【笔记取消点赞】用户未点赞该笔记");
throw new ApiException(ResponseCodeEnum.NOTE_NOT_LIKED);
}
.eq(NoteLikeDO::getNoteId, noteId));
// 未点赞,无法取消点赞操作,抛出业务异常
log.info("1111111");
if (count == 0) throw new ApiException(ResponseCodeEnum.NOTE_NOT_LIKED);
}
// 布隆过滤器校验目标笔记未被点赞(判断绝对正确)
case NOTE_NOT_LIKED -> throw new ApiException(ResponseCodeEnum.NOTE_NOT_LIKED);
@@ -820,14 +845,9 @@ public class NoteServiceImpl extends ServiceImpl<NoteDOMapper, NoteDO> implement
// 用户点赞列表ZsetKey
String userNoteLikeZSetKey = RedisKeyConstants.buildUserNoteLikeZSetKey(userId);
// TODO: 后续考虑换掉布隆过滤器。
Long removed = redisTemplate.opsForZSet().remove(userNoteLikeZSetKey, noteId);
if (Objects.nonNull(removed) && removed == 0) {
log.info("==> 【笔记取消点赞】用户未点赞该笔记");
throw new ApiException(ResponseCodeEnum.NOTE_NOT_LIKED);
}
//4. 发送 MQ, 数据更新落库
// 构建MQ消息体

View File

@@ -0,0 +1,10 @@
-- 操作的 Key
local key = KEYS[1]
local noteId = ARGV[1] -- 笔记ID
local expireSeconds = ARGV[2] -- 过期时间(秒)
redis.call("R64.SETBIT", key, noteId, 1)
-- 设置过期时间
redis.call("EXPIRE", key, expireSeconds)
return 0

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@@ -0,0 +1,12 @@
-- 操作的 Key
local key = KEYS[1]
for i = 1, #ARGV - 1 do
redis.call("R64.SETBIT", key, ARGV[i], 1)
end
-- 最后一个参数为过期时间
local expireTime = ARGV[#ARGV]
-- 设置过期时间
redis.call("EXPIRE", key, expireTime)
return 0

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@@ -0,0 +1,20 @@
-- LUA 脚本:点赞 Roaring Bitmap
local key = KEYS[1] -- 操作的 Redis Key
local noteId = ARGV[1] -- 笔记ID
-- 使用 EXISTS 命令检查 Roaring Bitmap 是否存在
local exists = redis.call('EXISTS', key)
if exists == 0 then
return -1
end
-- 校验该篇笔记是否被点赞过(1 表示已经点赞0 表示未点赞)
local isLiked = redis.call('R64.GETBIT', key, noteId)
if isLiked == 1 then
return 1
end
-- 未被点赞,添加点赞数据
redis.call('R64.SETBIT', key, noteId, 1)
return 0

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@@ -0,0 +1,17 @@
local key = KEYS[1] -- 操作的 Redis Key
local noteId = ARGV[1] -- 笔记ID
-- 使用 EXISTS 命令检查 Roaring Bitmap 是否存在
local exists = redis.call('EXISTS', key)
if exists == 0 then
return -1
end
-- 校验该篇笔记是否被点赞过(1 表示已经点赞0 表示未点赞)
local isLiked = redis.call('R64.GETBIT', key, noteId)
if isLiked == 0 then
return 0
end
-- 取消点赞,设置 Value 为 0
return redis.call('R64.SETBIT', key, noteId, 0)

View File

@@ -202,16 +202,16 @@ Content-Type: application/json
Authorization: Bearer {{thirdToken}}
{
"id": 1981698494959714362
"id": 1985254482941837349
}
### 笔记取消点赞入口
POST http://localhost:8000/note/note/unlike
Content-Type: application/json
Authorization: Bearer {{otherToken}}
Authorization: Bearer {{thirdToken}}
{
"id": 1977249693272375330
"id": 1985254482941837349
}
### 笔记收藏入口