refactor(data-align):优化数据对齐任务与MQ消费逻辑

fix(data-align，note):点赞同一用户发布的两篇不同笔记，无法保存变更记录。点赞笔记的SQL查询错误修复。

- 移除了事务模板，简化数据库操作流程
- 分离笔记ID与用户ID的布隆过滤器处理逻辑- 新增针对笔记作者的点赞/收藏数变更记录
- 重构Redis键命名规范，区分笔记与用户维度
- 优化MQ消息处理流程，增强异常捕获机制
- 更新HTTP客户端测试用例与环境配置
-修复NoteServiceImpl中点赞查询的用户ID条件缺失
- 调整分片计算方式，提升数据分布均匀性

.idea/data_source_mapping.xml

@@ -3,7 +3,8 @@
   <component name="DataSourcePerFileMappings">
     <file url="file://$APPLICATION_CONFIG_DIR$/consoles/db/5b969fbe-0f66-42be-8d30-ff21036ab8a4/console.sql" value="5b969fbe-0f66-42be-8d30-ff21036ab8a4" />
     <file url="file://$APPLICATION_CONFIG_DIR$/consoles/db/f2474a4a-e4f1-4afa-bd43-7ae7738b47c5/console.sql" value="f2474a4a-e4f1-4afa-bd43-7ae7738b47c5" />
-    <file url="file://$PROJECT_DIR$/han-note-data-align/src/main/resources/mapperxml/InsertRecordMapper.xml" value="f2474a4a-e4f1-4afa-bd43-7ae7738b47c5" />
+    <file url="file://$PROJECT_DIR$/han-note-data-align/src/main/resources/mapperxml/InsertMapper.xml" value="f2474a4a-e4f1-4afa-bd43-7ae7738b47c5" />
+    <file url="file://$PROJECT_DIR$/han-note-data-align/src/main/resources/mapperxml/SelectRecordMapper.xml" value="f2474a4a-e4f1-4afa-bd43-7ae7738b47c5" />
     <file url="file://$PROJECT_DIR$/sql/createData.sql" value="f2474a4a-e4f1-4afa-bd43-7ae7738b47c5" />
     <file url="file://$PROJECT_DIR$/sql/createTable.sql" value="f2474a4a-e4f1-4afa-bd43-7ae7738b47c5" />
     <file url="file://$PROJECT_DIR$/sql/leafcreatetable.sql" value="c4c1f1dc-816f-4113-88d6-9ebd7677af82" />

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/constant/MQConstants.java

@@ -12,4 +12,14 @@ public interface MQConstants {
      */
     String TOPIC_COUNT_NOTE_COLLECT = "CountNoteCollectTopic";
 
+    /**
+     * Topic: 笔记操作（发布、删除）
+     */
+    String TOPIC_NOTE_OPERATE = "NoteOperateTopic";
+
+    /**
+     * Topic: 关注数计数
+     */
+    String TOPIC_COUNT_FOLLOWING = "CountFollowingTopic";
+
 }

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/constant/RedisKeyConstants.java

@@ -3,24 +3,78 @@ package com.hanserwei.hannote.data.align.constant;
 public class RedisKeyConstants {
 
     /**
-     * 布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞 前缀
+     * 布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞（笔记ID） 前缀
      */
-    public static final String BLOOM_TODAY_NOTE_LIKE_LIST_KEY = "bloom:dataAlign:note:likes:";
+    public static final String BLOOM_TODAY_NOTE_LIKE_NOTE_ID_LIST_KEY = "bloom:dataAlign:note:like:noteIds";
 
     /**
-     * 布隆过滤器：日增量变更数据，用户笔记收藏，取消收藏 前缀
+     * 布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞（笔记发布者ID） 前缀
      */
-    public static final String BLOOM_TODAY_NOTE_COLLECT_LIST_KEY = "bloom:dataAlign:note:collects:";
+    public static final String BLOOM_TODAY_NOTE_LIKE_USER_ID_LIST_KEY = "bloom:dataAlign:note:like:userIds";
+
+    /**
+     * 布隆过滤器：日增量变更数据，用户笔记收藏，取消收藏（笔记ID） 前缀
+     */
+    public static final String BLOOM_TODAY_NOTE_COLLECT_NOTE_ID_LIST_KEY = "bloom:dataAlign:note:collect:noteIds";
+
+    /**
+     * 布隆过滤器：日增量变更数据，用户笔记收藏，取消收藏（笔记发布者ID） 前缀
+     */
+    public static final String BLOOM_TODAY_NOTE_COLLECT_USER_ID_LIST_KEY = "bloom:dataAlign:note:collect:userIds";
+
+    /**
+     * 布隆过滤器：日增量变更数据，用户笔记发布，删除 前缀
+     */
+    public static final String BLOOM_TODAY_USER_NOTE_OPERATOR_LIST_KEY = "bloom:dataAlign:user:note:operators:";
+
+    /**
+     * 布隆过滤器：日增量变更数据，用户关注数 前缀
+     */
+    public static final String BLOOM_TODAY_USER_FOLLOW_LIST_KEY = "bloom:dataAlign:user:follows:";
+
+    /**
+     * 布隆过滤器：日增量变更数据，用户粉丝数 前缀
+     */
+    public static final String BLOOM_TODAY_USER_FANS_LIST_KEY = "bloom:dataAlign:user:fans:";
+
+    /**
+     * Hash Field: 关注总数
+     */
+    public static final String FIELD_FOLLOWING_TOTAL = "followingTotal";
+
+    /**
+     * 用户维度计数 Key 前缀
+     */
+    private static final String COUNT_USER_KEY_PREFIX = "count:user:";
+
+    /**
+     * 构建用户维度计数 Key
+     *
+     * @param userId 用户 ID
+     * @return 用户维度计数 Key
+     */
+    public static String buildCountUserKey(Long userId) {
+        return COUNT_USER_KEY_PREFIX + userId;
+    }
 
 
     /**
-     * 构建完整的布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞 KEY
+     * 构建完整的布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞(笔记ID) KEY
+     * @param date  日期
+     * @return 完整的布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞(笔记ID) KEY
+     */
+    public static String buildBloomUserNoteLikeNoteIdListKey(String date) {
+        return BLOOM_TODAY_NOTE_LIKE_NOTE_ID_LIST_KEY + date;
+    }
+
+    /**
+     * 构建完整的布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞(笔记发布者ID) KEY
      *
      * @param date 日期
-     * @return 完整的布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞 KEY
+     * @return 完整的布隆过滤器：日增量变更数据，用户笔记点赞，取消点赞(笔记发布者ID) KEY
      */
-    public static String buildBloomUserNoteLikeListKey(String date) {
-        return BLOOM_TODAY_NOTE_LIKE_LIST_KEY + date;
+    public static String buildBloomUserNoteLikeUserIdListKey(String date) {
+        return BLOOM_TODAY_NOTE_LIKE_USER_ID_LIST_KEY + date;
     }
 
     /**
@@ -29,8 +83,48 @@ public class RedisKeyConstants {
      * @param date 日期
      * @return 完整的布隆过滤器：日增量变更数据，用户笔记收藏，取消收藏 KEY
      */
-    public static String buildBloomUserNoteCollectListKey(String date) {
-        return BLOOM_TODAY_NOTE_COLLECT_LIST_KEY + date;
+    public static String buildBloomUserNoteCollectNoteIdListKey(String date) {
+        return BLOOM_TODAY_NOTE_COLLECT_NOTE_ID_LIST_KEY + date;
+    }
+
+    /**
+     * 构建完整的布隆过滤器：日增量变更数据，用户笔记收藏，取消收藏 KEY
+     *
+     * @param date 日期
+     * @return 完整的布隆过滤器：日增量变更数据，用户笔记收藏，取消收藏 KEY
+     */
+    public static String buildBloomUserNoteCollectUserIdListKey(String date) {
+        return BLOOM_TODAY_NOTE_COLLECT_USER_ID_LIST_KEY + date;
+    }
+
+    /**
+     * 构建完整的布隆过滤器：日增量变更数据，用户笔记发布，删除 KEY
+     *
+     * @param date 日期
+     * @return 完整的布隆过滤器：日增量变更数据，用户笔记发布，删除 KEY
+     */
+    public static String buildBloomUserNoteOperateListKey(String date) {
+        return BLOOM_TODAY_USER_NOTE_OPERATOR_LIST_KEY + date;
+    }
+
+    /**
+     * 构建完整的布隆过滤器：日增量变更数据，用户关注数 KEY
+     *
+     * @param date 日期
+     * @return 完整的布隆过滤器：日增量变更数据，用户关注数 KEY
+     */
+    public static String buildBloomUserFollowListKey(String date) {
+        return BLOOM_TODAY_USER_FOLLOW_LIST_KEY + date;
+    }
+
+    /**
+     * 构建完整的布隆过滤器：日增量变更数据，用户粉丝数 KEY
+     *
+     * @param date 日期
+     * @return 完整的布隆过滤器：日增量变更数据，用户粉丝数 KEY
+     */
+    public static String buildBloomUserFansListKey(String date) {
+        return BLOOM_TODAY_USER_FANS_LIST_KEY + date;
     }
 
 }

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/consumer/TodayNoteCollectIncrementData2DBConsumer.java

@@ -4,7 +4,7 @@ import com.hanserwei.framework.common.utils.JsonUtils;
 import com.hanserwei.hannote.data.align.constant.MQConstants;
 import com.hanserwei.hannote.data.align.constant.RedisKeyConstants;
 import com.hanserwei.hannote.data.align.constant.TableConstants;
-import com.hanserwei.hannote.data.align.domain.mapper.InsertRecordMapper;
+import com.hanserwei.hannote.data.align.domain.mapper.InsertMapper;
 import com.hanserwei.hannote.data.align.model.vo.CollectUnCollectNoteMqDTO;
 import jakarta.annotation.Resource;
 import lombok.extern.slf4j.Slf4j;
@@ -17,7 +17,6 @@ import org.springframework.data.redis.core.script.DefaultRedisScript;
 import org.springframework.data.redis.core.script.RedisScript;
 import org.springframework.scripting.support.ResourceScriptSource;
 import org.springframework.stereotype.Component;
-import org.springframework.transaction.support.TransactionTemplate;
 
 import java.time.LocalDate;
 import java.time.format.DateTimeFormatter;
@@ -35,9 +34,7 @@ public class TodayNoteCollectIncrementData2DBConsumer implements RocketMQListene
     @Resource
     private RedisTemplate<String, Object> redisTemplate;
     @Resource
-    private TransactionTemplate transactionTemplate;
-    @Resource
-    private InsertRecordMapper insertRecordMapper;
+    private InsertMapper insertMapper;
 
     /**
      * 表总分片数
@@ -64,7 +61,10 @@ public class TodayNoteCollectIncrementData2DBConsumer implements RocketMQListene
         String date = LocalDate.now()
                 .format(DateTimeFormatter.ofPattern("yyyyMMdd"));
 
-        String bloomKey = RedisKeyConstants.buildBloomUserNoteCollectListKey(date);
+        // ------------------------- 笔记的收藏数变更记录 -------------------------
+
+        // 笔记对应的 Bloom Key
+        String noteBloomKey = RedisKeyConstants.buildBloomUserNoteCollectNoteIdListKey(date);
 
         // 1. 布隆过滤器判断该日增量数据是否已经记录
         DefaultRedisScript<Long> script = new DefaultRedisScript<>();
@@ -74,38 +74,46 @@ public class TodayNoteCollectIncrementData2DBConsumer implements RocketMQListene
         script.setResultType(Long.class);
 
         // 执行 Lua 脚本，拿到返回结果
-        Long result = redisTemplate.execute(script, Collections.singletonList(bloomKey), noteId);
-        log.info("布隆过滤器判断结果：{}", result);
+        Long result = redisTemplate.execute(script, Collections.singletonList(noteBloomKey), noteId);
+
+        // Lua 脚本：添加到布隆过滤器
+        RedisScript<Long> bloomAddScript = RedisScript.of("return redis.call('BF.ADD', KEYS[1], ARGV[1])", Long.class);
 
         // 若布隆过滤器判断不存在（绝对正确）
         if (Objects.equals(result, 0L)) {
-            // 2. 若无，才会落库，减轻数据库压力
-            // 根据分片总数，取模，分别获取对应的分片序号
-            long userIdHashKey = noteCreatorId % tableShards;
+            // 若无，才会落库数据库
+
+            // 根据分片总数，取模，获取对应的分片序号
             long noteIdHashKey = noteId % tableShards;
-            log.info("根据分片总数，取模，分别获取对应的分片序号user:{},note:{}", userIdHashKey, noteIdHashKey);
 
-            // 编程式事务，保证多语句的原子性
-            transactionTemplate.execute(status -> {
             try {
-                    // 将日增量变更数据，分别写入两张表
-                    // - t_data_align_note_collect_count_temp_日期_分片序号
-                    // - t_data_align_user_collect_count_temp_日期_分片序号
-                    insertRecordMapper.insert2DataAlignNoteCollectCountTempTable(TableConstants.buildTableNameSuffix(date, noteIdHashKey), noteId);
-                    insertRecordMapper.insert2DataAlignUserCollectCountTempTable(TableConstants.buildTableNameSuffix(date, userIdHashKey), noteCreatorId);
+                insertMapper.insert2DataAlignNoteCollectCountTempTable(TableConstants.buildTableNameSuffix(date, noteIdHashKey), noteId);
+            } catch (Exception e) {
+                log.error("## TodayNoteCollectIncrementData2DBConsumer 笔记收藏数变更记录失败：{}", e.getMessage());
+            }
 
-                    return true;
-                } catch (Exception ex) {
-                    status.setRollbackOnly(); // 标记事务为回滚
-                    log.error("", ex);
+            // 数据库落库成功后，再添加布隆过滤器中
+            redisTemplate.execute(bloomAddScript, Collections.singletonList(noteBloomKey), noteId);
         }
-                return false;
-            });
 
-            // 3. 数据库写入成功后，再添加布隆过滤器中
-            // 4. 数据库写入成功后，再添加布隆过滤器中
-            RedisScript<Long> bloomAddScript = RedisScript.of("return redis.call('BF.ADD', KEYS[1], ARGV[1])", Long.class);
-            redisTemplate.execute(bloomAddScript, Collections.singletonList(bloomKey), noteId);
+        // ------------------------- 笔记作者的收藏数变更记录 -------------------------
+        // 笔记作者对应的 Bloom Key
+        String userBloomKey = RedisKeyConstants.buildBloomUserNoteCollectUserIdListKey(date);
+        // 执行 Lua 脚本，拿到返回结果
+        result = redisTemplate.execute(script, Collections.singletonList(userBloomKey), noteCreatorId);
+        // 若布隆过滤器判断不存在（绝对正确）
+        if (Objects.equals(result, 0L)) {
+            // 若无，才会落库数据库
+
+            // 根据分片总数，取模，获取对应的分片序号
+            long noteCreatorIdHashKey = noteCreatorId % tableShards;
+            try {
+                insertMapper.insert2DataAlignUserCollectCountTempTable(TableConstants.buildTableNameSuffix(date, noteCreatorIdHashKey), noteCreatorId);
+            } catch (Exception e) {
+                log.error("## TodayNoteCollectIncrementData2DBConsumer 笔记作者的收藏数变更记录失败：{}", e.getMessage());
+            }
+            // 数据库落库成功后，再添加布隆过滤器中
+            redisTemplate.execute(bloomAddScript, Collections.singletonList(userBloomKey), noteCreatorId);
         }
     }
 }

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/consumer/TodayNoteLikeIncrementData2DBConsumer.java

@@ -4,7 +4,7 @@ import com.hanserwei.framework.common.utils.JsonUtils;
 import com.hanserwei.hannote.data.align.constant.MQConstants;
 import com.hanserwei.hannote.data.align.constant.RedisKeyConstants;
 import com.hanserwei.hannote.data.align.constant.TableConstants;
-import com.hanserwei.hannote.data.align.domain.mapper.InsertRecordMapper;
+import com.hanserwei.hannote.data.align.domain.mapper.InsertMapper;
 import com.hanserwei.hannote.data.align.model.vo.LikeUnlikeNoteMqDTO;
 import jakarta.annotation.Resource;
 import lombok.extern.slf4j.Slf4j;
@@ -17,7 +17,6 @@ import org.springframework.data.redis.core.script.DefaultRedisScript;
 import org.springframework.data.redis.core.script.RedisScript;
 import org.springframework.scripting.support.ResourceScriptSource;
 import org.springframework.stereotype.Component;
-import org.springframework.transaction.support.TransactionTemplate;
 
 import java.time.LocalDate;
 import java.time.format.DateTimeFormatter;
@@ -35,35 +34,35 @@ public class TodayNoteLikeIncrementData2DBConsumer implements RocketMQListener<S
     @Resource
     private RedisTemplate<String, Object> redisTemplate;
     @Resource
-    private TransactionTemplate transactionTemplate;
-    @Resource
-    private InsertRecordMapper insertRecordMapper;
+    private InsertMapper insertMapper;
 
     /**
      * 表总分片数
      */
     @Value("${table.shards}")
     private int tableShards;
+
     @Override
     public void onMessage(String body) {
         log.info("## TodayNoteLikeIncrementData2DBConsumer 消费到了 MQ: {}", body);
-        // 1. 布隆过滤器判断该日增量数据是否已经记录
-        // Json字符串转DTO
-        LikeUnlikeNoteMqDTO noteLikeCountMqDTO = JsonUtils.parseObject(body, LikeUnlikeNoteMqDTO.class);
-        if (Objects.isNull(noteLikeCountMqDTO)) {
-            return;
-        }
-        log.info("## TodayNoteLikeIncrementData2DBConsumer 笔记点赞数据：{}", JsonUtils.toJsonString(noteLikeCountMqDTO));
-        // 获取被点赞或者取消点赞的笔记ID
-        Long noteId = noteLikeCountMqDTO.getNoteId();
-        // 获取点赞或取消点赞的笔记的创建者ID
-        Long noteCreatorId = noteLikeCountMqDTO.getNoteCreatorId();
+
+        // 消息体 JSON 字符串转 DTO
+        LikeUnlikeNoteMqDTO unlikeNoteMqDTO = JsonUtils.parseObject(body, LikeUnlikeNoteMqDTO.class);
+
+        if (Objects.isNull(unlikeNoteMqDTO)) return;
+
+        // 被点赞、取消点赞的笔记 ID
+        Long noteId = unlikeNoteMqDTO.getNoteId();
+        // 笔记的发布者 ID
+        Long noteCreatorId = unlikeNoteMqDTO.getNoteCreatorId();
 
         // 今日日期
         String date = LocalDate.now()
-                .format(DateTimeFormatter.ofPattern("yyyyMMdd")); // 转字符串
+                .format(DateTimeFormatter.ofPattern("yyyyMMdd")); // 格式化
 
-        String bloomKey = RedisKeyConstants.buildBloomUserNoteLikeListKey(date);
+        // ------------------------- 笔记的点赞数变更记录 -------------------------
+        // 笔记对应的 Bloom Key
+        String noteBloomKey = RedisKeyConstants.buildBloomUserNoteLikeNoteIdListKey(date);
 
         // 1. 布隆过滤器判断该日增量数据是否已经记录
         DefaultRedisScript<Long> script = new DefaultRedisScript<>();
@@ -73,36 +72,52 @@ public class TodayNoteLikeIncrementData2DBConsumer implements RocketMQListener<S
         script.setResultType(Long.class);
 
         // 执行 Lua 脚本，拿到返回结果
-        Long result = redisTemplate.execute(script, Collections.singletonList(bloomKey), noteId);
-        log.info("布隆过滤器判断结果：{}", result);
+        Long result = redisTemplate.execute(script, Collections.singletonList(noteBloomKey), noteId);
+
+        // Lua 脚本：添加到布隆过滤器
+        RedisScript<Long> bloomAddScript = RedisScript.of("return redis.call('BF.ADD', KEYS[1], ARGV[1])", Long.class);
 
         // 若布隆过滤器判断不存在（绝对正确）
         if (Objects.equals(result, 0L)) {
             // 2. 若无，才会落库，减轻数据库压力
-            // 根据分片总数，取模，分别获取对应的分片序号
-            long userIdHashKey = noteCreatorId % tableShards;
-            long noteIdHashKey = noteId % tableShards;
-            log.info("根据分片总数，取模，分别获取对应的分片序号user:{},note:{}", userIdHashKey, noteIdHashKey);
 
-            // 编程式事务，保证多语句的原子性
-            transactionTemplate.execute(status -> {
+            // 根据分片总数，取模，获取对应的分片序号
+            long noteIdHashKey = noteId % tableShards;
+
             try {
-                    // 将日增量变更数据，分别写入两张表
+                // 将日增量变更数据落库
                 // - t_data_align_note_like_count_temp_日期_分片序号
-                    // - t_data_align_user_like_count_temp_日期_分片序号
-                    insertRecordMapper.insert2DataAlignNoteLikeCountTempTable(TableConstants.buildTableNameSuffix(date, noteIdHashKey), noteId);
-                    insertRecordMapper.insert2DataAlignUserLikeCountTempTable(TableConstants.buildTableNameSuffix(date, userIdHashKey), noteCreatorId);
-                    return true;
-                } catch (Exception ex) {
-                    status.setRollbackOnly();
-                    log.error("## TodayNoteLikeIncrementData2DBConsumer 落库失败，回滚事务", ex);
+                insertMapper.insert2DataAlignNoteLikeCountTempTable(TableConstants.buildTableNameSuffix(date, noteIdHashKey), noteId);
+            } catch (Exception e) {
+                log.error("", e);
             }
-                return false;
-            });
-            // 3. 数据库写入成功后，再添加布隆过滤器中
+
             // 4. 数据库写入成功后，再添加布隆过滤器中
-            RedisScript<Long> bloomAddScript = RedisScript.of("return redis.call('BF.ADD', KEYS[1], ARGV[1])", Long.class);
-            redisTemplate.execute(bloomAddScript, Collections.singletonList(bloomKey), noteId);
+            redisTemplate.execute(bloomAddScript, Collections.singletonList(noteBloomKey), noteId);
+        }
+
+        // ------------------------- 笔记发布者获得的点赞数变更记录 -------------------------
+        // 笔记发布者对应的 Bloom Key
+        String userBloomKey = RedisKeyConstants.buildBloomUserNoteLikeUserIdListKey(date);
+        // 执行 Lua 脚本，拿到返回结果
+        result = redisTemplate.execute(script, Collections.singletonList(userBloomKey), noteCreatorId);
+        // 若布隆过滤器判断不存在（绝对正确）
+        if (Objects.equals(result, 0L)) {
+            // 2. 若无，才会落库，减轻数据库压力
+
+            // 根据分片总数，取模，获取对应的分片序号
+            long userIdHashKey = noteCreatorId % tableShards;
+
+            try {
+                // 将日增量变更数据落库
+                // - t_data_align_user_like_count_temp_日期_分片序号
+                insertMapper.insert2DataAlignUserLikeCountTempTable(TableConstants.buildTableNameSuffix(date, userIdHashKey), noteCreatorId);
+            } catch (Exception e) {
+                log.error("", e);
+            }
+
+            // 4. 数据库写入成功后，再添加布隆过滤器中
+            redisTemplate.execute(bloomAddScript, Collections.singletonList(userBloomKey), noteCreatorId);
         }
     }
 }

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/consumer/TodayNotePublishIncrementData2DBConsumer.java

@@ -0,0 +1,91 @@
+package com.hanserwei.hannote.data.align.consumer;
+
+import com.hanserwei.framework.common.utils.JsonUtils;
+import com.hanserwei.hannote.data.align.constant.MQConstants;
+import com.hanserwei.hannote.data.align.constant.RedisKeyConstants;
+import com.hanserwei.hannote.data.align.constant.TableConstants;
+import com.hanserwei.hannote.data.align.domain.mapper.InsertMapper;
+import com.hanserwei.hannote.data.align.model.vo.NoteOperateMqDTO;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.rocketmq.spring.annotation.RocketMQMessageListener;
+import org.apache.rocketmq.spring.core.RocketMQListener;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.core.io.ClassPathResource;
+import org.springframework.data.redis.core.RedisTemplate;
+import org.springframework.data.redis.core.script.DefaultRedisScript;
+import org.springframework.data.redis.core.script.RedisScript;
+import org.springframework.scripting.support.ResourceScriptSource;
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDate;
+import java.time.format.DateTimeFormatter;
+import java.util.Collections;
+import java.util.Objects;
+
+@Component
+@Slf4j
+@RocketMQMessageListener(
+        consumerGroup = "han_note_group_data_align_" + MQConstants.TOPIC_NOTE_OPERATE,
+        topic = MQConstants.TOPIC_NOTE_OPERATE
+)
+public class TodayNotePublishIncrementData2DBConsumer implements RocketMQListener<String> {
+
+    @Resource
+    private RedisTemplate<String, Object> redisTemplate;
+
+    @Resource
+    private InsertMapper insertMapper;
+
+    /**
+     * 表总分片数
+     */
+    @Value("${table.shards}")
+    private int tableShards;
+
+    @Override
+    public void onMessage(String body) {
+        log.info("## TodayNotePublishIncrementData2DBConsumer 消费到了 MQ: {}", body);
+
+        // 1. 布隆过滤器判断该日增量数据是否已经记录
+        // 消息字符串转换为DTO类
+        NoteOperateMqDTO noteOperateMqDTO = JsonUtils.parseObject(body, NoteOperateMqDTO.class);
+
+        if (Objects.isNull(noteOperateMqDTO)) {
+            return;
+        }
+
+        // 发布、被删除的作品的作者Id
+        Long noteCreatorId = noteOperateMqDTO.getCreatorId();
+
+        // 今日日期
+        String date = LocalDate.now()
+                .format(DateTimeFormatter.ofPattern("yyyyMMdd"));
+
+        String bloomKey = RedisKeyConstants.buildBloomUserNoteOperateListKey(date);
+
+        // 1. 布隆过滤器判断该日增量数据是否已经记录
+        DefaultRedisScript<Long> script = new DefaultRedisScript<>();
+        // Lua 脚本路径
+        script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/bloom_today_user_note_publish_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(bloomKey), noteCreatorId);
+
+        // 若布隆过滤器判断不存在（绝对正确）
+        if (Objects.equals(result, 0L)) {
+            // 根据分片总数，取模，分别获取对应的分片序号
+            long userIdHashKey = noteCreatorId % tableShards;
+
+            // 将日增量变更数据，写入日增量表中
+            // - t_data_align_note_publish_count_temp_日期_分片序号
+            insertMapper.insert2DataAlignUserNotePublishCountTempTable(TableConstants.buildTableNameSuffix(date, userIdHashKey), noteCreatorId);
+
+            // 3. 数据库写入成功后，再添加布隆过滤器中
+            RedisScript<Long> bloomAddScript = RedisScript.of("return redis.call('BF.ADD', KEYS[1], ARGV[1])", Long.class);
+            redisTemplate.execute(bloomAddScript, Collections.singletonList(bloomKey), noteCreatorId);
+        }
+    }
+}

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/consumer/TodayUserFollowIncrementData2DBConsumer.java

@@ -0,0 +1,129 @@
+package com.hanserwei.hannote.data.align.consumer;
+
+import com.hanserwei.framework.common.utils.JsonUtils;
+import com.hanserwei.hannote.data.align.constant.MQConstants;
+import com.hanserwei.hannote.data.align.constant.RedisKeyConstants;
+import com.hanserwei.hannote.data.align.constant.TableConstants;
+import com.hanserwei.hannote.data.align.domain.mapper.InsertMapper;
+import com.hanserwei.hannote.data.align.model.vo.FollowUnfollowMqDTO;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.rocketmq.spring.annotation.RocketMQMessageListener;
+import org.apache.rocketmq.spring.core.RocketMQListener;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.core.io.ClassPathResource;
+import org.springframework.data.redis.core.RedisTemplate;
+import org.springframework.data.redis.core.script.DefaultRedisScript;
+import org.springframework.data.redis.core.script.RedisScript;
+import org.springframework.scripting.support.ResourceScriptSource;
+import org.springframework.stereotype.Component;
+import org.springframework.transaction.annotation.Transactional;
+
+import java.time.LocalDate;
+import java.time.format.DateTimeFormatter;
+import java.util.Collections;
+import java.util.Objects;
+
+@Slf4j
+@Component
+@RocketMQMessageListener(
+        consumerGroup = "han_note_group_data_align_" + MQConstants.TOPIC_COUNT_FOLLOWING,
+        topic = MQConstants.TOPIC_COUNT_FOLLOWING
+)
+public class TodayUserFollowIncrementData2DBConsumer implements RocketMQListener<String> {
+
+    @Resource
+    private RedisTemplate<String, Object> redisTemplate;
+
+    @Resource
+    private InsertMapper insertMapper;
+
+    /**
+     * 表总分片数
+     */
+    @Value("${table.shards}")
+    private int tableShards;
+
+    @Override
+    @Transactional(rollbackFor = Exception.class)
+    public void onMessage(String body) {
+        log.info("## TodayUserFollowIncrementData2DBConsumer 消费到了 MQ: {}", body);
+
+        // 字符串转换为DTO对象
+        FollowUnfollowMqDTO followUnfollowMqDTO = JsonUtils.parseObject(body, FollowUnfollowMqDTO.class);
+
+        if (Objects.isNull(followUnfollowMqDTO)) {
+            return;
+        }
+
+        // 关注/取关操作
+        // 源用户 ID
+        Long userId = followUnfollowMqDTO.getUserId();
+        // 目标用户 ID
+        Long targetUserId = followUnfollowMqDTO.getTargetUserId();
+
+        // 今日日期
+        String date = LocalDate.now()
+                .format(DateTimeFormatter.ofPattern("yyyyMMdd")); // 转字符串
+
+        // ------------------------- 源用户的关注数变更记录 -------------------------
+        // 布隆过滤器判断该日增量数据是否已经记录
+        String userBloomKey = RedisKeyConstants.buildBloomUserFollowListKey(date);
+
+        // 1. 布隆过滤器判断该日增量数据是否已经记录
+        DefaultRedisScript<Long> script = new DefaultRedisScript<>();
+        // Lua 脚本路径
+        script.setScriptSource(new ResourceScriptSource(new ClassPathResource("/lua/bloom_today_user_follow_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(userBloomKey), userId);
+
+        // Lua 脚本：添加到布隆过滤器
+        RedisScript<Long> bloomAddScript = RedisScript.of("return redis.call('BF.ADD', KEYS[1], ARGV[1])", Long.class);
+
+        // 若布隆过滤器判断不存在（绝对正确）
+        if (Objects.equals(result, 0L)) {
+            // 根据分片总数，取模，分别获取对应的分片序号
+            long userIdHashKey = userId % tableShards;
+
+            try {
+                // 将日增量变更数据，写入表 t_data_align_following_count_temp_日期_分片序号
+                insertMapper.insert2DataAlignUserFollowingCountTempTable(
+                        TableConstants.buildTableNameSuffix(date, userIdHashKey), userId);
+            } catch (Exception e) {
+                log.error("", e);
+                throw new RuntimeException(e);
+            }
+
+            // 数据库写入成功后，再添加布隆过滤器中
+            redisTemplate.execute(bloomAddScript, Collections.singletonList(userBloomKey), userId);
+        }
+
+        // ------------------------- 目标用户的粉丝数变更记录 -------------------------
+        // 目标用户 ID 对应的 Bloom Key
+        String targetUserBloomKey = RedisKeyConstants.buildBloomUserFansListKey(date);
+        // 布隆过滤器判断该日增量数据是否已经记录
+        result = redisTemplate.execute(script, Collections.singletonList(targetUserBloomKey), targetUserId);
+
+        // 若布隆过滤器判断不存在（绝对正确）
+        if (Objects.equals(result, 0L)) {
+            // 若无，才会落库，减轻数据库压力
+            // 根据分片总数，取模，分别获取对应的分片序号
+            long targetUserIdHashKey = targetUserId % tableShards;
+
+            try {
+                // 将日增量变更数据，写入表 t_data_align_fans_count_temp_日期_分片序号
+                insertMapper.insert2DataAlignUserFansCountTempTable(
+                        TableConstants.buildTableNameSuffix(date, targetUserIdHashKey), targetUserId);
+            } catch (Exception e) {
+                log.error("", e);
+                throw new RuntimeException(e);
+            }
+
+            // 数据库写入成功后，再添加布隆过滤器中
+            redisTemplate.execute(bloomAddScript, Collections.singletonList(targetUserBloomKey), targetUserId);
+        }
+    }
+}

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/domain/mapper/DeleteRecordMapper.java

@@ -0,0 +1,16 @@
+package com.hanserwei.hannote.data.align.domain.mapper;
+
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+
+public interface DeleteRecordMapper {
+
+    /**
+     * 日增量表：关注数计数变更 - 批量删除
+     *
+     * @param userIds 用户 ID
+     */
+    void batchDeleteDataAlignFollowingCountTempTable(@Param("tableNameSuffix") String tableNameSuffix,
+                                                     @Param("userIds") List<Long> userIds);
+}

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/domain/mapper/InsertMapper.java

@@ -5,7 +5,7 @@ import org.apache.ibatis.annotations.Param;
 /**
  * 添加记录
  */
-public interface InsertRecordMapper {
+public interface InsertMapper {
 
     /**
      * 笔记点赞数：计数变更
@@ -26,4 +26,19 @@ public interface InsertRecordMapper {
      * 用户获得的收藏数：计数变更
      */
     void insert2DataAlignUserCollectCountTempTable(@Param("tableNameSuffix") String tableNameSuffix, @Param("userId") Long userId);
+
+    /**
+     * 用户已发布笔记数：计数变更
+     */
+    void insert2DataAlignUserNotePublishCountTempTable(@Param("tableNameSuffix") String tableNameSuffix, @Param("userId") Long userId);
+
+    /**
+     * 用户关注数：计数变更
+     */
+    void insert2DataAlignUserFollowingCountTempTable(@Param("tableNameSuffix") String tableNameSuffix, @Param("userId") Long userId);
+
+    /**
+     * 用户粉丝数：计数变更
+     */
+    void insert2DataAlignUserFansCountTempTable(@Param("tableNameSuffix") String tableNameSuffix, @Param("userId") Long userId);
 }

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/domain/mapper/SelectRecordMapper.java

@@ -0,0 +1,30 @@
+package com.hanserwei.hannote.data.align.domain.mapper;
+
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+
+/**
+ * 查询
+ */
+public interface SelectRecordMapper {
+
+
+    /**
+     * 日增量表：关注数计数变更 - 批量查询
+     *
+     * @param tableNameSuffix 表名后缀
+     * @param batchSize       批量大小
+     * @return 批量查询结果
+     */
+    List<Long> selectBatchFromDataAlignFollowingCountTempTable(@Param("tableNameSuffix") String tableNameSuffix,
+                                                               @Param("batchSize") int batchSize);
+
+    /**
+     * 查询 t_following 关注表，获取关注总数
+     *
+     * @param userId 用户 ID
+     * @return 关注总数
+     */
+    int selectCountFromFollowingTableByUserId(long userId);
+}

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/domain/mapper/UpdateRecordMapper.java

@@ -0,0 +1,15 @@
+package com.hanserwei.hannote.data.align.domain.mapper;
+
+import org.apache.ibatis.annotations.Param;
+
+public interface UpdateRecordMapper {
+
+    /**
+     * 更新 t_user_count 计数表总关注数
+     *
+     * @param userId 用户 ID
+     * @return 更新行数
+     */
+    int updateUserFollowingTotalByUserId(@Param("userId") long userId,
+                                         @Param("followingTotal") int followingTotal);
+}

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/job/CreateTableXxlJob.java

@@ -5,13 +5,16 @@ import com.hanserwei.hannote.data.align.domain.mapper.CreateTableMapper;
 import com.xxl.job.core.context.XxlJobHelper;
 import com.xxl.job.core.handler.annotation.XxlJob;
 import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.cloud.context.config.annotation.RefreshScope;
 import org.springframework.stereotype.Component;
+import org.springframework.transaction.support.TransactionTemplate;
 
 import java.time.LocalDate;
 import java.time.format.DateTimeFormatter;
 
+@Slf4j
 @Component
 @RefreshScope
 @SuppressWarnings("unused")
@@ -26,6 +29,9 @@ public class CreateTableXxlJob {
     @Value("${table.shards}")
     private int tableShards;
 
+    @Resource
+    private TransactionTemplate transactionTemplate;
+
     /**
      * 1、简单任务示例（Bean模式）
      */
@@ -41,7 +47,8 @@ public class CreateTableXxlJob {
                 // 表名后缀
                 String tableNameSuffix = TableConstants.buildTableNameSuffix(date, hashKey);
 
-                // 创建表
+                transactionTemplate.execute(status -> {
+                    try {
                         // 创建表
                         createTableMapper.createDataAlignFollowingCountTempTable(tableNameSuffix);
                         createTableMapper.createDataAlignFansCountTempTable(tableNameSuffix);
@@ -50,6 +57,14 @@ public class CreateTableXxlJob {
                         createTableMapper.createDataAlignUserLikeCountTempTable(tableNameSuffix);
                         createTableMapper.createDataAlignNoteLikeCountTempTable(tableNameSuffix);
                         createTableMapper.createDataAlignNotePublishCountTempTable(tableNameSuffix);
+                        return true;
+                    } catch (Exception e) {
+                        status.setRollbackOnly();
+                        log.error("创建表失败", e);
+                    }
+                    return false;
+                });
+
             }
         }
         XxlJobHelper.log("## 创建日增量数据表成功，表名后缀: {}...", date);

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/job/FollowingCountShardingXxlJob.java

@@ -0,0 +1,101 @@
+package com.hanserwei.hannote.data.align.job;
+
+import cn.hutool.core.collection.CollUtil;
+import com.hanserwei.hannote.data.align.constant.RedisKeyConstants;
+import com.hanserwei.hannote.data.align.constant.TableConstants;
+import com.hanserwei.hannote.data.align.domain.mapper.DeleteRecordMapper;
+import com.hanserwei.hannote.data.align.domain.mapper.SelectRecordMapper;
+import com.hanserwei.hannote.data.align.domain.mapper.UpdateRecordMapper;
+import com.xxl.job.core.context.XxlJobHelper;
+import com.xxl.job.core.handler.annotation.XxlJob;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.data.redis.core.RedisTemplate;
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDate;
+import java.time.format.DateTimeFormatter;
+import java.util.List;
+
+@Component
+@Slf4j
+public class FollowingCountShardingXxlJob {
+
+    @Resource
+    private SelectRecordMapper selectRecordMapper;
+    @Resource
+    private UpdateRecordMapper updateRecordMapper;
+    @Resource
+    private DeleteRecordMapper deleteRecordMapper;
+    @Resource
+    private RedisTemplate<String, Object> redisTemplate;
+
+    /**
+     * 分片广播任务
+     */
+    @XxlJob("followingCountShardingJobHandler")
+    public void followingCountShardingJobHandler() {
+        // 获取分片参数
+        // 分片序号
+        int shardIndex = XxlJobHelper.getShardIndex();
+        // 分片总数
+        int shardTotal = XxlJobHelper.getShardTotal();
+
+        XxlJobHelper.log("=================> 开始定时分片广播任务：对当日发生变更的用户关注数进行对齐");
+        XxlJobHelper.log("分片参数：当前分片序号 = {}, 总分片数 = {}", shardIndex, shardTotal);
+
+        log.info("分片参数：当前分片序号 = {}, 总分片数 = {}", shardIndex, shardTotal);
+
+        // 表后缀
+        String date = LocalDate.now().minusDays(1) // 昨日的日期
+                .format(DateTimeFormatter.ofPattern("yyyyMMdd")); // 转字符串
+        // 表名后缀
+        String tableNameSuffix = TableConstants.buildTableNameSuffix(date, shardIndex);
+
+        // 一批次 1000 条
+        int batchSize = 1000;
+        // 共对齐了多少条记录，默认为 0
+        int processedTotal = 0;
+
+        while (true) {
+            // 1. 分批次查询，如一次查询1000 条，直到查询完毕
+            List<Long> userIds = selectRecordMapper.selectBatchFromDataAlignFollowingCountTempTable(tableNameSuffix, batchSize);
+
+            // 若记录为空，则结束循环
+            if (CollUtil.isEmpty(userIds)) {
+                break;
+            }
+
+            // 循环这一批发生变更的用户 ID
+            userIds.forEach(userId -> {
+                // 2: 对 t_following 关注表执行 count(*) 操作，获取关注总数
+                int followingTotal = selectRecordMapper.selectCountFromFollowingTableByUserId(userId);
+
+                // 3: 更新 t_user_count 表
+                int count = updateRecordMapper.updateUserFollowingTotalByUserId(userId, followingTotal);
+                // 更新对应 Redis 缓存
+                if (count > 0) {
+                    String redisKey = RedisKeyConstants.buildCountUserKey(userId);
+                    // 判断 Hash 是否存在
+                    boolean hashKey = redisTemplate.hasKey(redisKey);
+                    // 若存在
+                    if (hashKey) {
+                        // 更新 Hash 中的 Field 关注总数
+                        redisTemplate.opsForHash().put(redisKey, RedisKeyConstants.FIELD_FOLLOWING_TOTAL, followingTotal);
+                    }
+                }
+            });
+
+
+            // 4. 批量物理删除这一批次记录
+
+            deleteRecordMapper.batchDeleteDataAlignFollowingCountTempTable(tableNameSuffix, userIds);
+
+            // 当前已处理的记录数
+            processedTotal += userIds.size();
+        }
+
+        XxlJobHelper.log("=================> 结束定时分片广播任务：对当日发生变更的用户关注数进行对齐，共对齐记录数：{}", processedTotal);
+    }
+
+}

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/model/vo/FollowUnfollowMqDTO.java

@@ -0,0 +1,29 @@
+package com.hanserwei.hannote.data.align.model.vo;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+@Data
+@AllArgsConstructor
+@NoArgsConstructor
+@Builder
+public class FollowUnfollowMqDTO {
+
+    /**
+     * 原用户
+     */
+    private Long userId;
+
+    /**
+     * 目标用户
+     */
+    private Long targetUserId;
+
+    /**
+     * 1:关注 0:取关
+     */
+    private Integer type;
+
+}

han-note-data-align/src/main/java/com/hanserwei/hannote/data/align/model/vo/NoteOperateMqDTO.java

@@ -0,0 +1,29 @@
+package com.hanserwei.hannote.data.align.model.vo;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+@Data
+@AllArgsConstructor
+@NoArgsConstructor
+@Builder
+public class NoteOperateMqDTO {
+
+    /**
+     * 笔记发布者 ID
+     */
+    private Long creatorId;
+
+    /**
+     * 笔记 ID
+     */
+    private Long noteId;
+
+    /**
+     * 操作类型： 0 - 笔记删除； 1：笔记发布；
+     */
+    private Integer type;
+
+}

han-note-data-align/src/main/resources/lua/bloom_today_user_follow_check.lua

@@ -0,0 +1,16 @@
+-- LUA 脚本：日增量用户关注、取关变更数据布隆过滤器
+
+local key = KEYS[1] -- 操作的 Redis Key
+local userId = ARGV[1] -- Redis Value
+
+-- 使用 EXISTS 命令检查布隆过滤器是否存在
+local exists = redis.call('EXISTS', key)
+if exists == 0 then
+    -- 创建布隆过滤器
+    redis.call('BF.ADD', key, '')
+    -- 设置过期时间，一天后过期
+    redis.call("EXPIRE", key, 20 * 60 * 60)
+end
+
+-- 校验该变更数据是否已经存在(1 表示已存在，0 表示不存在)
+return redis.call('BF.EXISTS', key, userId)

han-note-data-align/src/main/resources/lua/bloom_today_user_note_publish_check.lua

@@ -0,0 +1,16 @@
+-- LUA 脚本：日增量笔记发布、删除变更数据布隆过滤器
+
+local key = KEYS[1] -- 操作的 Redis Key
+local userId = ARGV[1] -- Redis Value
+
+-- 使用 EXISTS 命令检查布隆过滤器是否存在
+local exists = redis.call('EXISTS', key)
+if exists == 0 then
+    -- 创建布隆过滤器
+    redis.call('BF.ADD', key, '')
+    -- 设置过期时间，一天后过期
+    redis.call("EXPIRE", key, 20 * 60 * 60)
+end
+
+-- 校验该变更数据是否已经存在(1 表示已存在，0 表示不存在)
+return redis.call('BF.EXISTS', key, userId)

han-note-data-align/src/main/resources/mapperxml/CreateTableMapper.xml

@@ -76,9 +76,9 @@
         CREATE TABLE IF NOT EXISTS `t_data_align_note_publish_count_temp_${tableNameSuffix}`
         (
             `id`      bigint unsigned NOT NULL AUTO_INCREMENT COMMENT '主键ID',
-            `note_id` bigint unsigned NOT NULL COMMENT '笔记ID',
+            `user_id` bigint unsigned NOT NULL COMMENT '用户ID',
             PRIMARY KEY (`id`) USING BTREE,
-            UNIQUE KEY `uk_note_id` (`note_id`)
+            UNIQUE KEY `uk_user_id` (`user_id`)
         ) ENGINE = InnoDB
           DEFAULT CHARSET = utf8mb4
           COLLATE = utf8mb4_unicode_ci COMMENT ='数据对齐日增量表：用户发布笔记数';

han-note-data-align/src/main/resources/mapperxml/DeleteRecordMapper.xml

@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8" ?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
+<mapper namespace="com.hanserwei.hannote.data.align.domain.mapper.DeleteRecordMapper">
+    <delete id="batchDeleteDataAlignFollowingCountTempTable" parameterType="list">
+        delete
+        from `t_data_align_following_count_temp_${tableNameSuffix}`
+        where user_id in
+        <foreach collection="userIds" open="(" item="userId" close=")" separator=",">
+            #{userId}
+        </foreach>
+    </delete>
+</mapper>

han-note-data-align/src/main/resources/mapperxml/InsertMapper.xml

@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="UTF-8" ?>
 <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
-<mapper namespace="com.hanserwei.hannote.data.align.domain.mapper.InsertRecordMapper">
+<mapper namespace="com.hanserwei.hannote.data.align.domain.mapper.InsertMapper">
     <insert id="insert2DataAlignNoteLikeCountTempTable" parameterType="map">
         insert into `t_data_align_note_like_count_temp_${tableNameSuffix}` (note_id)
         values (#{noteId})
@@ -20,4 +20,19 @@
         insert into `t_data_align_user_collect_count_temp_${tableNameSuffix}` (user_id)
         values (#{userId})
     </insert>
+
+    <insert id="insert2DataAlignUserNotePublishCountTempTable" parameterType="map">
+        insert into `t_data_align_note_publish_count_temp_${tableNameSuffix}` (user_id)
+        values (#{userId})
+    </insert>
+
+    <insert id="insert2DataAlignUserFollowingCountTempTable" parameterType="map">
+        insert into `t_data_align_following_count_temp_${tableNameSuffix}` (user_id)
+        values (#{userId})
+    </insert>
+
+    <insert id="insert2DataAlignUserFansCountTempTable" parameterType="map">
+        insert into `t_data_align_fans_count_temp_${tableNameSuffix}` (user_id)
+        values (#{userId})
+    </insert>
 </mapper>

han-note-data-align/src/main/resources/mapperxml/SelectRecordMapper.xml

@@ -0,0 +1,16 @@
+<?xml version="1.0" encoding="UTF-8" ?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
+<mapper namespace="com.hanserwei.hannote.data.align.domain.mapper.SelectRecordMapper">
+    <select id="selectBatchFromDataAlignFollowingCountTempTable" resultType="long" parameterType="map">
+        select user_id
+        from `t_data_align_following_count_temp_${tableNameSuffix}`
+        order by id
+        limit #{batchSize}
+    </select>
+
+    <select id="selectCountFromFollowingTableByUserId" parameterType="map" resultType="int">
+        select count(*)
+        from t_following
+        where user_id = #{userId}
+    </select>
+</mapper>

han-note-data-align/src/main/resources/mapperxml/UpdateRecordMapper.xml

@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8" ?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
+<mapper namespace="com.hanserwei.hannote.data.align.domain.mapper.UpdateRecordMapper">
+    <update id="updateUserFollowingTotalByUserId" parameterType="map">
+        update t_user_count
+        set following_total = #{followingTotal}
+        where user_id = #{userId}
+    </update>
+</mapper>

han-note-note/han-note-note-biz/src/main/java/com/hanserwei/hannote/note/biz/service/impl/NoteServiceImpl.java

@@ -651,6 +651,7 @@ public class NoteServiceImpl extends ServiceImpl<NoteDOMapper, NoteDO> implement
                 //从数据库中校验笔记是否被点赞，并异步初始化布隆过滤器，设置过期时间
                 long count = noteLikeDOService.count(new LambdaQueryWrapper<>(NoteLikeDO.class)
                         .eq(NoteLikeDO::getNoteId, noteId)
+                        .eq(NoteLikeDO::getUserId, userId)
                         .eq(NoteLikeDO::getStatus, LikeStatusEnum.LIKE.getCode()));
 
                 // 保底1天+随机秒数

http-client/gateApi.http

@@ -77,8 +77,8 @@ Authorization: Bearer {{token}}
   "imgUris": [
     "https://cdn.pixabay.com/photo/2025/10/05/15/06/autumn-9875155_1280.jpg"
   ],
-  "title": "第三篇图文笔记",
-  "content": "这个是第三篇图文笔记的测试",
+  "title": "bug修复2",
+  "content": "bugbugbug",
   "topicId": 1
 }
 
@@ -126,7 +126,7 @@ Content-Type: application/json
 Authorization: Bearer {{token}}
 
 {
-  "id": 1979849112022941780
+  "id": 1981322504056078370
 }
 
 ### 关注自己
@@ -153,7 +153,7 @@ Content-Type: application/json
 Authorization: Bearer {{token}}
 
 {
-  "followUserId": {{otherUserId}}
+  "followUserId": 2100
 }
 
 ### 取消关注
@@ -197,16 +197,16 @@ Authorization: Bearer {{token}}
 ### 笔记点赞入口
 POST http://localhost:8000/note/note/like
 Content-Type: application/json
-Authorization: Bearer {{token}}
+Authorization: Bearer {{thirdToken}}
 
 {
-  "id": 1977249693272375330
+  "id": 1981698494959714362
 }
 
 ### 笔记取消点赞入口
 POST http://localhost:8000/note/note/unlike
 Content-Type: application/json
-Authorization: Bearer {{token}}
+Authorization: Bearer {{otherToken}}
 
 {
   "id": 1977249693272375330
@@ -215,16 +215,16 @@ Authorization: Bearer {{token}}
 ### 笔记收藏入口
 POST http://localhost:8000/note/note/collect
 Content-Type: application/json
-Authorization: Bearer {{token}}
+Authorization: Bearer {{thirdToken}}
 
 {
-  "id": 1977249693272375330
+  "id": 1981698494959714362
 }
 
 ### 笔记取消收藏入口
 POST http://localhost:8000/note/note/uncollect
 Content-Type: application/json
-Authorization: Bearer {{token}}
+Authorization: Bearer {{otherToken}}
 
 {
   "id": 1977249693272375330

http-client/http-client.private.env.json

@@ -2,6 +2,7 @@
   "dev": {
     "token": "4bXpiBbjXEDFE4ZpqjCOHu1rP81qepl2ROOygrxRGb61K536ckLuyAwfyQHSMcyRdUzf8CxntLEMfbU2ynbYx9nJKlx4vpWZrHqv2mI4iMhnShQ4mPBi7OPPgZi22O2f",
     "otherToken": "mqFNHrWkPcipIAvw7Gn4cigOWYP54sn8HYlQX3CXTxHf90DhjFiROhWVgPqLBi35xKXOOfHlXeEdaQrkXf1JXd8hbXBOdZqnrycW96BJwTbUS40EqIZifVgPun3ai0Ek",
+    "thirdToken": "iA8XE1vFDXYwgNPnRyIrNaj5EKcQypUTtn91wCMGtF8FfFdFzvRUad4Q7shLkOgUQ5QMB5n25JP91vpYIvr7udoL1HUxdjlSlXCEXivTQlgaABkz5owdhzhyHqGg0XP8",
     "noteId": "1977249693272375330",
     "userId": "100",
     "otherUserId": "2100"