最近实现了评论和回复、点赞、@的功能。在这里分享一下我的设计思路（先分享评论和回复功能）。希望各位读者给出一些不一样的建议后期改进。
效果展示
总共是两层回复 （回复评论、回复评论下的回复）
数据库设计
评论表（TFW_Comments）和回复内容表（TFW_UserResponse）以及评论回复关系表（TFW_MsgRelation）
数据库设计思路：
注：各位读者自动忽略评论表的服务机构ID字段，这个字段相当于这条评论是在哪个帖子（文章下面）
1、根据文章ID或者是帖子ID查询评论表获取评论（本文的服务机构ID）。第一层（评论）
2、根据评论ID并且回复类型等于1的去关系表获取第二层的回复（commentsId）。第二层（评论下的回复）
3、根据评论ID、回复类型等于2、回复ID去关系表获取第三层回复。第三层（评论下回复中的回复）注：回复ID是它的上级
实现类源码
@Override
public Map<String, Object> findComments(JSONObject jsonObject) {
data.clear();
String userId = jsonObject.getString("userId");
String role = this.role(jsonObject);
if (role.equals("-1")){
//没有权限
data.put("error","-1");
data.put("msg","当前用户没有权限");
return data;
}
List<Map<String, Object>> info = commentsDao.findComment(jsonObject.getString("fWJLID"),null);
//查询点赞次数
int countTag = 0;
MsgRelationTag msgRelationTag = new MsgRelationTag();
for (Map item : info){
item.put("inputShow",false);
int commentsId = (int) item.get("commentsId");
//查询点赞次数
countTag = msgRelationDao.findCountTagByTagId(commentsId,1);
item.put("countTag",countTag);
//设置点赞状态
msgRelationTag.setTagId(commentsId);
msgRelationTag.setTagType(1);
msgRelationTag.setTagUserId(Integer.parseInt(userId));
MsgRelationTag msgTag = msgRelationDao.findMsgTag(msgRelationTag);
if (msgTag != null) {
item.put("tagStatus",msgTag.getStatus());
}else {
item.put("tagStatus","");
}
//如果有@id
if (item.get("atId") != null){
String content = item.get("content").toString();
StringBuffer tmrAtId = findUserName(item.get("atId").toString());
item.put("content",content+'@'+tmrAtId);
}
//二级回复数据
List<Map<String, Object>> twoReply = new ArrayList<>();
//所有数据
List<Map<String, Object>> userResponse = userResponseDao.findUserResponse(commentsId, null, "","",null);
for (Map userResponseInfo :userResponse){
int userResponseIds = Integer.parseInt(userResponseInfo.get("userResponseId").toString());
//查询点赞次数
countTag = msgRelationDao.findCountTagByTagId(userResponseIds,2);
//设置点赞状态
msgRelationTag.setTagId(userResponseIds);
msgRelationTag.setTagType(2);
msgTag = msgRelationDao.findMsgTag(msgRelationTag);
if (msgTag != null) {userResponseInfo.put("tagStatus",msgTag.getStatus());}else {userResponseInfo.put("tagStatus","");}
userResponseInfo.put("countTag",countTag);
userResponseInfo.put("inputShow",false);
Integer responseType = (Integer) userResponseInfo.get("responseType");
for (Map stairReplyInfo : userResponse){
Integer userResponseId = (Integer) stairReplyInfo.get("userResponseId");
int msgRelationId = Integer.parseInt(stairReplyInfo.get("msgRelationId").toString());
//接受者id*/
twoReply = userResponseDao.findUserResponse(msgRelationId, userResponseId,"1","",null); //二级回复数据
for (Map twoReplyItem : twoReply){
int twoReplyId = Integer.parseInt(twoReplyItem.get("userResponseId").toString());
twoReplyItem.put("inputShow",false);
//查询点赞次数
countTag = msgRelationDao.findCountTagByTagId(twoReplyId,2);
twoReplyItem.put("countTag",countTag);
//设置点赞状态
msgRelationTag.setTagId(twoReplyId);
msgTag = msgRelationDao.findMsgTag(msgRelationTag);
if (msgTag != null) {twoReplyItem.put("tagStatus",msgTag.getStatus());}else {twoReplyItem.put("tagStatus","");}
String userRepContent = twoReplyItem.get("userRepContent").toString();
if (twoReplyItem.get("tmrAtId") != null){
StringBuffer tmrAtId = findUserName(twoReplyItem.get("tmrAtId").toString());
twoReplyItem.put("userRepContent",userRepContent+'@'+tmrAtId);
}
}
stairReplyInfo.put("twoReply",twoReply);
}
}
item.put("stairReply",userResponse);
}
data.put("data",info);
data.put("error",0);
data.put("msg","查询成功");
return data;
}其它的代码可以忽略。主要语句有：
获取帖子下的评论
List<Map<String, Object>> info = commentsDao.findComment(jsonObject.getString("fWJLID"),null);上图根据FWJLID获取评论。（此处可以当成帖子的ID，获取帖子下的评论）一级展示
对应SQL语句（OPT是我的用户表）
select tc.content ,tc.commentsId,convert(varchar(19),tc.startTime,120) as startTime,tc.recipientId ,tc.operatorId,zo.NAME as operatorName,tc.atId,zo.HeadImgUrl as operatorHeadImgUrl
from TFW_Comments tc
left join zd_opt zo on zo.AID = tc.operatorId where tc.FWJLID = 5101查询结果：
获取评论下的回复
List<Map<String, Object>> userResponse = userResponseDao.findUserResponse(commentsId, null, "","",null);上图根据commentsid获取评论下的回复。（根据评论ID获取回复）二级展示
对应sql语句
select
tur.userResponseId,tur.operatorId,tur.recipientId,convert(varchar(19),tur.startTime,120) as startTime,tur.userRepContent,tmr.atId as tmrAtId,
tmr.msgRelationId ,tmr.responseType,tmr.replyId,
zo.NAME as operatorName,
zo1.NAME as recipientName,
zo.HeadImgUrl as operatorHeadImgUrl,
zo1.HeadImgUrl as recipientHeadImgUrl
from TFW_MsgRelation tmr
left join TFW_UserResponse tur on tur.userResponseId = tmr.userResponseId
left join zd_opt zo on zo.AID = tur.operatorId
left join zd_opt zo1 on zo1.AID = tur.recipientId where tmr.commentsId = 47查询结果
获取二级回复
twoReply = userResponseDao.findUserResponse(msgRelationId, userResponseId,"1","",null); //二级回复数据上图是根据评论ID（msgRelationId）和回复ID（userResponseId）去获取二级回复。回复ID也就是父类。就是回复那一条回复的ID。 第三层展示
对应sql
select
tur.userResponseId,tur.operatorId,tur.recipientId,convert(varchar(19),tur.startTime,120) as startTime,tur.userRepContent,tmr.atId as tmrAtId,
tmr.msgRelationId ,tmr.responseType,tmr.replyId,
zo.NAME as operatorName,
zo1.NAME as recipientName,
zo.HeadImgUrl as operatorHeadImgUrl,
zo1.HeadImgUrl as recipientHeadImgUrl
from TFW_MsgRelation tmr
left join TFW_UserResponse tur on tur.userResponseId = tmr.userResponseId
left join zd_opt zo on zo.AID = tur.operatorId
left join zd_opt zo1 on zo1.AID = tur.recipientId where tmr.commentsId = 136 and tmr.replyId = 155查询结果
返回页面展示和返回体展示
总结
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