猫鼬查询嵌套文档或多或少的某个日期
我如何查询大于或小于特定日期的评论...
How dow I query comments greater than or less than a certain date...
这是我的带有Post模型和Comment模型的架构:
Here is my Schema with Post model and a Comment model:
var mongoose = require('mongoose');
var should = require('should');
mongoose.connect("localhost","test_db");
var CommentSchema = new mongoose.Schema({
content: {type:String},
created_at: {type:Date, default:Date.now}
});
var PostSchema = new mongoose.Schema({
title: {type:String},
content: {type:String},
comments: [CommentSchema]
});
var Post = mongoose.model('Post',PostSchema);
var Comment = mongoose.model('Comment',CommentSchema);
var post = new Post({title:"hello world",comments:[{content:"1st comment"},{content:"2nd comment"}]});
// I saved it! and then I query for it
var id = "5045d5be48af9f040f000002";
Post.find({ _id:id,
"comments.created_at":{ $gte:(new Date())}
},function(err,result){
console.log(result);
});
我需要有关嵌入式文档查询的帮助...
I need help with querying the embedded docs...
好吧,我编辑了代码以提供更多细节.
Ok I edited my code to give more detail.
这将返回一个空数组.所以我想要或期望的是一个带有空评论数组的帖子.但是用这个查询我什么都没有得到. (当我将$ gte与$ lte交换时,(显然)该帖子带有2条评论).
This returns an empty array. So what I want or what I would expect is a Post with an empty comments array. But with this query I do not get a post at all. (when I exchange $gte with $lte I get (obviously) the post with its 2 comments).
但是我又该如何根据我上面的描述过滤详细信息?
But again how can I filter the details so according to my description above?
使用点符号以进入嵌入式数组文档的内部.例如,要查询Post
在date1
和date2
之间的created_at
注释:
Use dot notation to reach inside the embedded array docs. For example, to query for the Post
comments with a created_at
between date1
and date2
:
Post.find({ "comments.created_at": { $gt: date1, $lt: date2 }}, function (err, docs) {
...
});
更新
感谢您的修改;现在,我了解到您正在尝试按created_at
日期过滤单个帖子的评论.您不能直接使用MongoDB查询来做到这一点,但是我相信如果您使用的是2.2版本的聚合框架,则可以做到这一点.看看有关Jira上功能请求的讨论.
Thanks for the edit; now I understand that you're trying to to filter the comments of single post by their created_at
date. You can't do that directly with MongoDB queries, but I believe you can do it with the 2.2 aggregation framework if you're at that version. Take a look at the discussion of this feature request on Jira for examples.