feat(comment): 实现子评论分页查询与缓存优化
- 新增根据父评论 ID 和限制数量查询子评论的数据库方法 - 实现子评论分页缓存机制,使用 ZSET + String 结构提升查询性能 - 添加子评论详情批量同步到 Redis 的功能 -优化子评论计数数据的缓存读取与数据库同步逻辑 - 新增父评论不存在时的业务异常处理 - 完善子评论缓存失效后的数据库查询与数据回填机制 - 提取公共方法用于批量操作 Redis 数据,提升代码复用性
This commit is contained in:
@@ -7,6 +7,11 @@ public class RedisKeyConstants {
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*/
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*/
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private static final String HAVE_FIRST_REPLY_COMMENT_KEY_PREFIX = "comment:havaFirstReplyCommentId:";
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private static final String HAVE_FIRST_REPLY_COMMENT_KEY_PREFIX = "comment:havaFirstReplyCommentId:";
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/**
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* Key 前缀:二级评论分页 ZSET
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*/
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private static final String CHILD_COMMENT_LIST_KEY_PREFIX = "comment:childList:";
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/**
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/**
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* Hash Field: 子评论总数
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* Hash Field: 子评论总数
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*/
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*/
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@@ -40,6 +45,16 @@ public class RedisKeyConstants {
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*/
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*/
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private static final String COMMENT_DETAIL_KEY_PREFIX = "comment:detail:";
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private static final String COMMENT_DETAIL_KEY_PREFIX = "comment:detail:";
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/**
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* 构建子评论分页 ZSET 完整 KEY
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*
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* @param commentId 一级评论 ID
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* @return 子评论分页 ZSET 完整 KEY
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*/
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public static String buildChildCommentListKey(Long commentId) {
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return CHILD_COMMENT_LIST_KEY_PREFIX + commentId;
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}
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/**
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/**
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* 构建评论维度计数 Key
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* 构建评论维度计数 Key
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*
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*
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@@ -110,4 +110,14 @@ public interface CommentDOMapper extends BaseMapper<CommentDO> {
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* @return 计数数据
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* @return 计数数据
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*/
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*/
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List<CommentDO> selectCommentCountByIds(@Param("commentIds") List<Long> commentIds);
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List<CommentDO> selectCommentCountByIds(@Param("commentIds") List<Long> commentIds);
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/**
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* 查询子评论
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*
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* @param parentId 一级评论 ID
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* @param limit 子评论数量限制
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* @return 子评论
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*/
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List<CommentDO> selectChildCommentsByParentIdAndLimit(@Param("parentId") Long parentId,
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@Param("limit") int limit);
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}
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}
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@@ -14,6 +14,7 @@ public enum ResponseCodeEnum implements BaseExceptionInterface {
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// ----------- 业务异常状态码 -----------
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// ----------- 业务异常状态码 -----------
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COMMENT_NOT_FOUND("COMMENT-20001", "此评论不存在"),
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COMMENT_NOT_FOUND("COMMENT-20001", "此评论不存在"),
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PARENT_COMMENT_NOT_FOUND("COMMENT-20000", "此父评论不存在"),
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;
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;
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// 异常码
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// 异常码
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@@ -38,6 +38,7 @@ import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.logging.log4j.util.Strings;
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import org.apache.logging.log4j.util.Strings;
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import org.jspecify.annotations.NonNull;
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import org.jspecify.annotations.NonNull;
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import org.springframework.dao.DataAccessException;
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import org.springframework.data.redis.core.*;
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import org.springframework.data.redis.core.*;
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import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
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import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
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import org.springframework.stereotype.Service;
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import org.springframework.stereotype.Service;
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@@ -311,13 +312,30 @@ public class CommentServiceImpl extends ServiceImpl<CommentDOMapper, CommentDO>
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// 每页展示的二级评论数 (小红书 APP 中是一次查询 6 条)
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// 每页展示的二级评论数 (小红书 APP 中是一次查询 6 条)
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long pageSize = 6;
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long pageSize = 6;
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// TODO:先从缓存中查询,待完善
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// 先从缓存中查询
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String countCommentKey = RedisKeyConstants.buildCountCommentKey(parentCommentId);
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// 子评论总数
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Number redisCount = (Number) redisTemplate.opsForHash()
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.get(countCommentKey, RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL);
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long count = Objects.isNull(redisCount) ? 0L : redisCount.longValue();
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// 查询一级评论下的子评论数目
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// 若缓存不存在,走数据库查询
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Long count = commentDOMapper.selectChildCommentTotalById(parentCommentId);
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if (Objects.isNull(redisCount)) {
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// 查询一级评论下子评论的总数 (直接查询 t_comment 表的 child_comment_total 字段,提升查询性能, 避免 count(*))
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Long dbCount = commentDOMapper.selectChildCommentTotalById(parentCommentId);
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// 若一级评论不存在或者评论数目为0,则直接返回
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// 若数据库中也不存在,则抛出业务异常
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if (Objects.isNull(count) || count == 0) {
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if (Objects.isNull(dbCount)) {
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throw new ApiException(ResponseCodeEnum.PARENT_COMMENT_NOT_FOUND);
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}
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count = dbCount;
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// 异步将子评论总数同步到 Redis 中
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threadPoolTaskExecutor.execute(() -> syncCommentCount2Redis(countCommentKey, dbCount));
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}
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// 若子评论总数为 0,直接返参
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if (count == 0) {
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return PageResponse.success(null, pageNo, 0);
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return PageResponse.success(null, pageNo, 0);
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}
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}
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@@ -327,9 +345,217 @@ public class CommentServiceImpl extends ServiceImpl<CommentDOMapper, CommentDO>
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// 计算分页查询的偏移量offset(需要加1,因为最早回复的二级评论已经被展示了)
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// 计算分页查询的偏移量offset(需要加1,因为最早回复的二级评论已经被展示了)
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long offset = PageResponse.getOffset(pageNo, pageSize) + 1;
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long offset = PageResponse.getOffset(pageNo, pageSize) + 1;
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// 子评论分页缓存使用Zset+String实现
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// 构建子评论ZSETKey
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String childCommentZsetKey = RedisKeyConstants.buildChildCommentListKey(parentCommentId);
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// 先判断ZSET是否存在
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boolean hasKey = redisTemplate.hasKey(childCommentZsetKey);
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// 若不存在
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if (!hasKey) {
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// 异步将子评论同步到 Redis 中(最多同步 6*10 条)
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threadPoolTaskExecutor.execute(() -> syncChildComments2Redis(parentCommentId, childCommentZsetKey));
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}
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// 若子评论 ZSET 缓存存在, 并且查询的是前 10 页的子评论
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if (hasKey && offset < 6 * 10) {
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// 使用ZRevRange获取某个一级评论下的子评论,按回复时间升序排序
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Set<Object> childCommentIds = redisTemplate
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.opsForZSet().rangeByScore(childCommentZsetKey, 0, Double.MAX_VALUE, offset, pageSize);
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// 若结果不为空
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if (CollUtil.isNotEmpty(childCommentIds)) {
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// Set转List
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List<Object> childCommentIdList = Lists.newArrayList(childCommentIds);
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// 构建 MGET 批量查询子评论详情的 Key 集合
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List<String> commentIdKeys = childCommentIds.stream()
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.map(RedisKeyConstants::buildCommentDetailKey)
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.toList();
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// MGET 批量获取评论数据
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List<Object> commentsJsonList = redisTemplate.opsForValue().multiGet(commentIdKeys);
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// 可能存在部分评论不在缓存中,已经过期被删除,这些评论 ID 需要提取出来,等会查数据库
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List<Long> expiredChildCommentIds = Lists.newArrayList();
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if (commentsJsonList != null) {
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for (int i = 0; i < commentsJsonList.size(); i++) {
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String commentJson = (String) commentsJsonList.get(i);
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Long commentId = Long.valueOf(childCommentIdList.get(i).toString());
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if (Objects.nonNull(commentJson)) {
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// 缓存中存在的评论 Json,直接转换为 VO 添加到返参集合中
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FindChildCommentItemRspVO childCommentRspVO = JsonUtils.parseObject(commentJson, FindChildCommentItemRspVO.class);
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childCommentRspVOS.add(childCommentRspVO);
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} else {
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// 评论失效,添加到失效评论列表
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expiredChildCommentIds.add(commentId);
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}
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}
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}
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// 对于缓存中存在的子评论, 需要再次查询 Hash, 获取其计数数据
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if (CollUtil.isNotEmpty(childCommentRspVOS)) {
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setChildCommentCountData(childCommentRspVOS, expiredChildCommentIds);
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}
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// 对于不存在的子评论,需要批量从数据库中查询,并添加到 commentRspVOS 中
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if (CollUtil.isNotEmpty(expiredChildCommentIds)) {
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List<CommentDO> commentDOS = commentDOMapper.selectByCommentIds(expiredChildCommentIds);
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getChildCommentDataAndSync2Redis(commentDOS, childCommentRspVOS);
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}
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// 按评论 ID 升序排列(等同于按回复时间升序)
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childCommentRspVOS = childCommentRspVOS.stream()
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.sorted(Comparator.comparing(FindChildCommentItemRspVO::getCommentId))
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.collect(Collectors.toList());
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return PageResponse.success(childCommentRspVOS, pageNo, count, pageSize);
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}
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}
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// 分页查询子评论
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// 分页查询子评论
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List<CommentDO> childCommentDOS = commentDOMapper.selectChildPageList(parentCommentId, offset, pageSize);
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List<CommentDO> childCommentDOS = commentDOMapper.selectChildPageList(parentCommentId, offset, pageSize);
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getChildCommentDataAndSync2Redis(childCommentDOS, childCommentRspVOS);
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return PageResponse.success(childCommentRspVOS, pageNo, count, pageSize);
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}
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/**
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* 设置子评论计数数据
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*
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* @param commentRspVOS 子评论VO
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* @param expiredCommentIds 失效的子评论ID
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*/
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private void setChildCommentCountData(List<FindChildCommentItemRspVO> commentRspVOS, List<Long> expiredCommentIds) {
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// 准备从评论 Hash 中查询计数 (被点赞数)
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// 缓存中存在的子评论 ID
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List<Long> notExpiredCommentIds = Lists.newArrayList();
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// 遍历从缓存中解析出的 VO 集合,提取二级评论 ID
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commentRspVOS.forEach(commentRspVO -> {
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Long childCommentId = commentRspVO.getCommentId();
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notExpiredCommentIds.add(childCommentId);
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});
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// 从 Redis 中查询评论计数 Hash 数据
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Map<Long, Map<Object, Object>> commentIdAndCountMap = getCommentCountDataAndSync2RedisHash(notExpiredCommentIds);
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// 遍历 VO, 设置对应子评论的点赞数
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for (FindChildCommentItemRspVO commentRspVO : commentRspVOS) {
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// 评论 ID
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Long commentId = commentRspVO.getCommentId();
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// 若当前这条评论是从数据库中查询出来的, 则无需设置点赞数,以数据库查询出来的为主
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if (CollUtil.isNotEmpty(expiredCommentIds)
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&& expiredCommentIds.contains(commentId)) {
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continue;
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}
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// 设置子评论的点赞数
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Map<Object, Object> hash = commentIdAndCountMap.get(commentId);
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if (CollUtil.isNotEmpty(hash)) {
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Long likeTotal = Long.valueOf(hash.get(RedisKeyConstants.FIELD_LIKE_TOTAL).toString());
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commentRspVO.setLikeTotal(likeTotal);
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}
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}
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}
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/**
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* 获取评论计数数据,并同步到 Redis 中
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*
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* @param notExpiredCommentIds 缓存中存在的评论 ID
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* @return 评论计数数据
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*/
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@SuppressWarnings("unchecked")
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private Map<Long, Map<Object, Object>> getCommentCountDataAndSync2RedisHash(List<Long> notExpiredCommentIds) {
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// 已失效的 Hash 评论 ID
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List<Long> expiredCountCommentIds = Lists.newArrayList();
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// 构建需要查询的 Hash Key 集合
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List<String> commentCountKeys = notExpiredCommentIds.stream()
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.map(RedisKeyConstants::buildCountCommentKey).toList();
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// 使用 RedisTemplate 执行管道批量操作
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List<Object> results = redisTemplate.executePipelined(new SessionCallback<>() {
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@Override
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public Object execute(@NonNull RedisOperations operations) {
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// 遍历需要查询的评论计数的 Hash 键集合
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commentCountKeys.forEach(key ->
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// 在管道中执行 Redis 的 hash.entries 操作
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// 此操作会获取指定 Hash 键中所有的字段和值
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operations.opsForHash().entries(key));
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return null;
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}
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});
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// 评论 ID - 计数数据字典
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Map<Long, Map<Object, Object>> commentIdAndCountMap = Maps.newHashMap();
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// 遍历未过期的评论 ID 集合
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for (int i = 0; i < notExpiredCommentIds.size(); i++) {
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// 当前评论 ID
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Long currCommentId = Long.valueOf(notExpiredCommentIds.get(i).toString());
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// 从缓存查询结果中,获取对应 Hash
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Map<Object, Object> hash = (Map<Object, Object>) results.get(i);
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// 若 Hash 结果为空,说明缓存中不存在,添加到 expiredCountCommentIds 中,保存一下
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if (CollUtil.isEmpty(hash)) {
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expiredCountCommentIds.add(currCommentId);
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continue;
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}
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// 若存在,则将数据添加到 commentIdAndCountMap 中,方便后续读取
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commentIdAndCountMap.put(currCommentId, hash);
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}
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// 若已过期的计数评论 ID 集合大于 0,说明部分计数数据不在 Redis 缓存中
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// 需要查询数据库,并将这部分的评论计数 Hash 同步到 Redis 中
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if (CollUtil.size(expiredCountCommentIds) > 0) {
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// 查询数据库
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List<CommentDO> commentDOS = commentDOMapper.selectCommentCountByIds(expiredCountCommentIds);
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commentDOS.forEach(commentDO -> {
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Integer level = commentDO.getLevel();
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Map<Object, Object> map = Maps.newHashMap();
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map.put(RedisKeyConstants.FIELD_LIKE_TOTAL, commentDO.getLikeTotal());
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// 只有一级评论需要统计子评论总数
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if (Objects.equals(level, CommentLevelEnum.ONE.getCode())) {
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map.put(RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL, commentDO.getChildCommentTotal());
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}
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// 统一添加到 commentIdAndCountMap 字典中,方便后续查询
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commentIdAndCountMap.put(commentDO.getId(), map);
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});
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// 异步同步到 Redis 中
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threadPoolTaskExecutor.execute(() -> redisTemplate.executePipelined(new SessionCallback<>() {
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@Override
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public Object execute(@NonNull RedisOperations operations) {
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commentDOS.forEach(commentDO -> {
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// 构建 Hash Key
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String key = RedisKeyConstants.buildCountCommentKey(commentDO.getId());
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// 评论级别
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Integer level = commentDO.getLevel();
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// 设置 Field 数据
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Map<String, Long> fieldsMap = Objects.equals(level, CommentLevelEnum.ONE.getCode()) ?
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Map.of(RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL, commentDO.getChildCommentTotal(),
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||||||
|
RedisKeyConstants.FIELD_LIKE_TOTAL, commentDO.getLikeTotal()) : Map.of(RedisKeyConstants.FIELD_LIKE_TOTAL, commentDO.getLikeTotal());
|
||||||
|
// 添加 Hash 数据
|
||||||
|
operations.opsForHash().putAll(key, fieldsMap);
|
||||||
|
|
||||||
|
// 设置随机过期时间 (5小时以内)
|
||||||
|
long expireTime = 60 * 60 + RandomUtil.randomInt(4 * 60 * 60);
|
||||||
|
operations.expire(key, expireTime, TimeUnit.SECONDS);
|
||||||
|
});
|
||||||
|
return null;
|
||||||
|
}
|
||||||
|
}));
|
||||||
|
}
|
||||||
|
return commentIdAndCountMap;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取子评论数据
|
||||||
|
*
|
||||||
|
* @param childCommentDOS 子评论DO
|
||||||
|
* @param childCommentRspVOS 子评论VO
|
||||||
|
*/
|
||||||
|
private void getChildCommentDataAndSync2Redis(List<CommentDO> childCommentDOS, List<FindChildCommentItemRspVO> childCommentRspVOS) {
|
||||||
// 调用KV服务需要的入参
|
// 调用KV服务需要的入参
|
||||||
List<FindCommentContentReqDTO> findCommentContentReqDTOS = Lists.newArrayList();
|
List<FindCommentContentReqDTO> findCommentContentReqDTOS = Lists.newArrayList();
|
||||||
// 调用用户服务需要的入参
|
// 调用用户服务需要的入参
|
||||||
@@ -426,7 +652,99 @@ public class CommentServiceImpl extends ServiceImpl<CommentDOMapper, CommentDO>
|
|||||||
childCommentRspVOS.add(childCommentRspVO);
|
childCommentRspVOS.add(childCommentRspVO);
|
||||||
}
|
}
|
||||||
|
|
||||||
return PageResponse.success(childCommentRspVOS, pageNo, count, pageSize);
|
// 异步将笔记详情,同步到 Redis 中
|
||||||
|
threadPoolTaskExecutor.execute(() -> {
|
||||||
|
// 准备批量写入的数据
|
||||||
|
Map<String, String> data = Maps.newHashMap();
|
||||||
|
childCommentRspVOS.forEach(commentRspVO -> {
|
||||||
|
// 评论 ID
|
||||||
|
Long commentId = commentRspVO.getCommentId();
|
||||||
|
// 构建 Key
|
||||||
|
String key = RedisKeyConstants.buildCommentDetailKey(commentId);
|
||||||
|
data.put(key, JsonUtils.toJsonString(commentRspVO));
|
||||||
|
});
|
||||||
|
|
||||||
|
batchAddCommentDetailJson2Redis(data);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 批量添加评论详情 Json 到 Redis 中
|
||||||
|
*
|
||||||
|
* @param data 批量写入的数据
|
||||||
|
*/
|
||||||
|
private void batchAddCommentDetailJson2Redis(Map<String, String> data) {
|
||||||
|
// 使用 Redis Pipeline 提升写入性能
|
||||||
|
redisTemplate.executePipelined((RedisCallback<?>) (connection) -> {
|
||||||
|
for (Map.Entry<String, String> entry : data.entrySet()) {
|
||||||
|
// 将 Java 对象序列化为 JSON 字符串
|
||||||
|
String jsonStr = JsonUtils.toJsonString(entry.getValue());
|
||||||
|
|
||||||
|
// 随机生成过期时间 (5小时以内)
|
||||||
|
int randomExpire = 60 * 60 + RandomUtil.randomInt(4 * 60 * 60);
|
||||||
|
|
||||||
|
// 批量写入并设置过期时间
|
||||||
|
connection.stringCommands().setEx(
|
||||||
|
Objects.requireNonNull(redisTemplate.getStringSerializer().serialize(entry.getKey())),
|
||||||
|
randomExpire,
|
||||||
|
Objects.requireNonNull(redisTemplate.getStringSerializer().serialize(jsonStr))
|
||||||
|
);
|
||||||
|
}
|
||||||
|
return null;
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 同步子评论到 Redis 中
|
||||||
|
*
|
||||||
|
* @param parentCommentId 父评论ID
|
||||||
|
* @param childCommentZSetKey 子评论ZSet Key
|
||||||
|
*/
|
||||||
|
private void syncChildComments2Redis(Long parentCommentId, String childCommentZSetKey) {
|
||||||
|
List<CommentDO> childCommentDOS = commentDOMapper.selectChildCommentsByParentIdAndLimit(parentCommentId, 6 * 10);
|
||||||
|
if (CollUtil.isNotEmpty(childCommentDOS)) {
|
||||||
|
// 使用 Redis Pipeline 提升写入性能
|
||||||
|
redisTemplate.executePipelined((RedisCallback<Object>) connection -> {
|
||||||
|
ZSetOperations<String, Object> zSetOps = redisTemplate.opsForZSet();
|
||||||
|
|
||||||
|
// 遍历子评论数据并批量写入 ZSet
|
||||||
|
for (CommentDO childCommentDO : childCommentDOS) {
|
||||||
|
Long commentId = childCommentDO.getId();
|
||||||
|
// create_time 转时间戳
|
||||||
|
long commentTimestamp = DateUtils.localDateTime2Timestamp(childCommentDO.getCreateTime());
|
||||||
|
zSetOps.add(childCommentZSetKey, commentId, commentTimestamp);
|
||||||
|
}
|
||||||
|
|
||||||
|
// 设置随机过期时间,(保底1小时 + 随机时间),单位:秒
|
||||||
|
int randomExpiryTime = 60 * 60 + RandomUtil.randomInt(4 * 60 * 60); // 5小时以内
|
||||||
|
redisTemplate.expire(childCommentZSetKey, randomExpiryTime, TimeUnit.SECONDS);
|
||||||
|
return null; // 无返回值
|
||||||
|
});
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 同步评论数量到 Redis 中
|
||||||
|
*
|
||||||
|
* @param countCommentKey 评论数量缓存的键值
|
||||||
|
* @param dbCount 数据库中的评论数量
|
||||||
|
*/
|
||||||
|
@SuppressWarnings("unchecked")
|
||||||
|
private void syncCommentCount2Redis(String countCommentKey, Long dbCount) {
|
||||||
|
redisTemplate.executePipelined(new SessionCallback<Void>() {
|
||||||
|
@Override
|
||||||
|
public <K, V> Void execute(@NonNull RedisOperations<K, V> operations) throws DataAccessException {
|
||||||
|
// 这里用强制类型转换指定类型
|
||||||
|
RedisOperations<String, Object> ops = (RedisOperations<String, Object>) operations;
|
||||||
|
|
||||||
|
ops.opsForHash()
|
||||||
|
.put(countCommentKey, RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL, dbCount);
|
||||||
|
|
||||||
|
long expireTime = 60 * 60 + RandomUtil.randomInt(4 * 60 * 60);
|
||||||
|
ops.expire(countCommentKey, expireTime, TimeUnit.SECONDS);
|
||||||
|
return null;
|
||||||
|
}
|
||||||
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
/**
|
/**
|
||||||
@@ -574,25 +892,7 @@ public class CommentServiceImpl extends ServiceImpl<CommentDOMapper, CommentDO>
|
|||||||
data.put(key, JsonUtils.toJsonString(commentRspVO));
|
data.put(key, JsonUtils.toJsonString(commentRspVO));
|
||||||
});
|
});
|
||||||
|
|
||||||
// 使用 Redis Pipeline 提升写入性能
|
batchAddCommentDetailJson2Redis(data);
|
||||||
redisTemplate.executePipelined((RedisCallback<?>) (connection) -> {
|
|
||||||
for (Map.Entry<String, String> entry : data.entrySet()) {
|
|
||||||
// 将 Java 对象序列化为 JSON 字符串
|
|
||||||
String jsonStr = JsonUtils.toJsonString(entry.getValue());
|
|
||||||
|
|
||||||
// 随机生成过期时间 (5小时以内)
|
|
||||||
int randomExpire = RandomUtil.randomInt(5 * 60 * 60);
|
|
||||||
|
|
||||||
|
|
||||||
// 批量写入并设置过期时间
|
|
||||||
connection.stringCommands().setEx(
|
|
||||||
Objects.requireNonNull(redisTemplate.getStringSerializer().serialize(entry.getKey())),
|
|
||||||
randomExpire,
|
|
||||||
Objects.requireNonNull(redisTemplate.getStringSerializer().serialize(jsonStr))
|
|
||||||
);
|
|
||||||
}
|
|
||||||
return null;
|
|
||||||
});
|
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -662,85 +962,7 @@ public class CommentServiceImpl extends ServiceImpl<CommentDOMapper, CommentDO>
|
|||||||
});
|
});
|
||||||
|
|
||||||
// 已失效的 Hash 评论 ID
|
// 已失效的 Hash 评论 ID
|
||||||
List<Long> expiredCountCommentIds = Lists.newArrayList();
|
Map<Long, Map<Object, Object>> commentIdAndCountMap = getCommentCountDataAndSync2RedisHash(notExpiredCommentIds);
|
||||||
// 构建需要查询的 Hash Key 集合
|
|
||||||
List<String> commentCountKeys = notExpiredCommentIds.stream()
|
|
||||||
.map(RedisKeyConstants::buildCountCommentKey).toList();
|
|
||||||
|
|
||||||
// 使用 RedisTemplate 执行管道批量操作
|
|
||||||
List<Object> results = redisTemplate.executePipelined(new SessionCallback<>() {
|
|
||||||
@Override
|
|
||||||
public Object execute(@NonNull RedisOperations operations) {
|
|
||||||
// 遍历需要查询的评论计数的 Hash 键集合
|
|
||||||
commentCountKeys.forEach(key ->
|
|
||||||
// 在管道中执行 Redis 的 hash.entries 操作
|
|
||||||
// 此操作会获取指定 Hash 键中所有的字段和值
|
|
||||||
operations.opsForHash().entries(key));
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
// 评论 ID - 计数数据字典
|
|
||||||
Map<Long, Map<Object, Object>> commentIdAndCountMap = Maps.newHashMap();
|
|
||||||
// 遍历未过期的评论 ID 集合
|
|
||||||
for (int i = 0; i < notExpiredCommentIds.size(); i++) {
|
|
||||||
// 当前评论 ID
|
|
||||||
Long currCommentId = Long.valueOf(notExpiredCommentIds.get(i).toString());
|
|
||||||
// 从缓存查询结果中,获取对应 Hash
|
|
||||||
Map<Object, Object> hash = (Map<Object, Object>) results.get(i);
|
|
||||||
// 若 Hash 结果为空,说明缓存中不存在,添加到 expiredCountCommentIds 中,保存一下
|
|
||||||
if (CollUtil.isEmpty(hash)) {
|
|
||||||
expiredCountCommentIds.add(currCommentId);
|
|
||||||
continue;
|
|
||||||
}
|
|
||||||
// 若存在,则将数据添加到 commentIdAndCountMap 中,方便后续读取
|
|
||||||
commentIdAndCountMap.put(currCommentId, hash);
|
|
||||||
}
|
|
||||||
|
|
||||||
// 若已过期的计数评论 ID 集合大于 0,说明部分计数数据不在 Redis 缓存中
|
|
||||||
// 需要查询数据库,并将这部分的评论计数 Hash 同步到 Redis 中
|
|
||||||
if (CollUtil.size(expiredCountCommentIds) > 0) {
|
|
||||||
// 查询数据库
|
|
||||||
List<CommentDO> commentDOS = commentDOMapper.selectCommentCountByIds(expiredCountCommentIds);
|
|
||||||
|
|
||||||
commentDOS.forEach(commentDO -> {
|
|
||||||
Integer level = commentDO.getLevel();
|
|
||||||
Map<Object, Object> map = Maps.newHashMap();
|
|
||||||
map.put(RedisKeyConstants.FIELD_LIKE_TOTAL, commentDO.getLikeTotal());
|
|
||||||
// 只有一级评论需要统计子评论总数
|
|
||||||
if (Objects.equals(level, CommentLevelEnum.ONE.getCode())) {
|
|
||||||
map.put(RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL, commentDO.getChildCommentTotal());
|
|
||||||
}
|
|
||||||
// 统一添加到 commentIdAndCountMap 字典中,方便后续查询
|
|
||||||
commentIdAndCountMap.put(commentDO.getId(), map);
|
|
||||||
});
|
|
||||||
|
|
||||||
// 异步同步到 Redis 中
|
|
||||||
threadPoolTaskExecutor.execute(() -> {
|
|
||||||
redisTemplate.executePipelined(new SessionCallback<>() {
|
|
||||||
@Override
|
|
||||||
public Object execute(RedisOperations operations) {
|
|
||||||
commentDOS.forEach(commentDO -> {
|
|
||||||
// 构建 Hash Key
|
|
||||||
String key = RedisKeyConstants.buildCountCommentKey(commentDO.getId());
|
|
||||||
// 评论级别
|
|
||||||
Integer level = commentDO.getLevel();
|
|
||||||
// 设置 Field 数据
|
|
||||||
Map<String, Long> fieldsMap = Objects.equals(level, CommentLevelEnum.ONE.getCode()) ?
|
|
||||||
Map.of(RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL, commentDO.getChildCommentTotal(),
|
|
||||||
RedisKeyConstants.FIELD_LIKE_TOTAL, commentDO.getLikeTotal()) : Map.of(RedisKeyConstants.FIELD_LIKE_TOTAL, commentDO.getLikeTotal());
|
|
||||||
// 添加 Hash 数据
|
|
||||||
operations.opsForHash().putAll(key, fieldsMap);
|
|
||||||
|
|
||||||
// 设置随机过期时间 (5小时以内)
|
|
||||||
long expireTime = RandomUtil.randomInt(5 * 60 * 60);
|
|
||||||
operations.expire(key, expireTime, TimeUnit.SECONDS);
|
|
||||||
});
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
});
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
// 遍历 VO, 设置对应评论的二级评论数、点赞数
|
// 遍历 VO, 设置对应评论的二级评论数、点赞数
|
||||||
for (FindCommentItemRspVO commentRspVO : commentRspVOS) {
|
for (FindCommentItemRspVO commentRspVO : commentRspVOS) {
|
||||||
@@ -756,10 +978,9 @@ public class CommentServiceImpl extends ServiceImpl<CommentDOMapper, CommentDO>
|
|||||||
// 设置一级评论的子评论总数、点赞数
|
// 设置一级评论的子评论总数、点赞数
|
||||||
Map<Object, Object> hash = commentIdAndCountMap.get(commentId);
|
Map<Object, Object> hash = commentIdAndCountMap.get(commentId);
|
||||||
if (CollUtil.isNotEmpty(hash)) {
|
if (CollUtil.isNotEmpty(hash)) {
|
||||||
Object childCommentTotalObj = hash.get(RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL);
|
Object likeTotalObj = hash.get(RedisKeyConstants.FIELD_CHILD_COMMENT_TOTAL);
|
||||||
Long childCommentTotal = Objects.isNull(childCommentTotalObj) ? 0 : Long.parseLong(childCommentTotalObj.toString());
|
Long childCommentTotal = Objects.isNull(likeTotalObj) ? 0 : Long.parseLong(likeTotalObj.toString());
|
||||||
Object likeTotalObj = hash.get(RedisKeyConstants.FIELD_LIKE_TOTAL);
|
Long likeTotal = Long.valueOf(hash.get(RedisKeyConstants.FIELD_LIKE_TOTAL).toString());
|
||||||
Long likeTotal = Objects.isNull(likeTotalObj) ? 0 : Long.parseLong(likeTotalObj.toString());
|
|
||||||
commentRspVO.setChildCommentTotal(childCommentTotal);
|
commentRspVO.setChildCommentTotal(childCommentTotal);
|
||||||
commentRspVO.setLikeTotal(likeTotal);
|
commentRspVO.setLikeTotal(likeTotal);
|
||||||
// 最初回复的二级评论
|
// 最初回复的二级评论
|
||||||
@@ -776,4 +997,5 @@ public class CommentServiceImpl extends ServiceImpl<CommentDOMapper, CommentDO>
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -192,4 +192,13 @@
|
|||||||
#{commentId}
|
#{commentId}
|
||||||
</foreach>
|
</foreach>
|
||||||
</select>
|
</select>
|
||||||
|
|
||||||
|
<select id="selectChildCommentsByParentIdAndLimit" resultMap="BaseResultMap" parameterType="map">
|
||||||
|
select id, create_time
|
||||||
|
from t_comment
|
||||||
|
where parent_id = #{parentId}
|
||||||
|
and level = 2
|
||||||
|
order by create_time
|
||||||
|
limit #{limit}
|
||||||
|
</select>
|
||||||
</mapper>
|
</mapper>
|
||||||
Reference in New Issue
Block a user