效果展示
数据库设计
数据库设计思路:
实现类源码
获取帖子下的评论
获取评论下的回复
获取二级回复
总结
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
总结到此这篇关于java评论、回复功能设计与实现方法的文章就介绍到这了,更多相关java评论回复功能内容请搜索软件开发网以前的文章或继续浏览下面的相关文章希望大家以后多多支持软件开发网!