在 MongoDB 中按日期分组?
mongodbdatabasebig data analytics更新于 2026/1/17 2:22:17
您可以使用聚合框架在 MongoDB 中按日期分组。首先，我们创建一个包含一些文档的集合。创建包含文档的集合的查询如下:
> db.groupByDateDemo.insertOne({"UserLoginDateTime":new ISODate()});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c6ee4df6fd07954a4890695")
}
> db.groupByDateDemo.insertOne({"UserLoginDateTime":new ISODate("2019-01-31
15:20:09.234Z")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c6ee51c6fd07954a4890696")
}
> db.groupByDateDemo.insertOne({"UserLoginDateTime":new ISODate("2017-04-21
16:12:13.240Z")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c6ee5336fd07954a4890697")
}
> db.groupByDateDemo.insertOne({"UserLoginDateTime":new ISODate("2016-05-25
19:11:21.130Z")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c6ee54b6fd07954a4890698")
}
> db.groupByDateDemo.insertOne({"UserLoginDateTime":new ISODate("2016-05-25
19:11:21.130Z")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c6ee8de6fd07954a4890699")
}
> db.groupByDateDemo.insertOne({"UserLoginDateTime":new ISODate()});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c6ee8e76fd07954a489069a")
}
使用 find() 方法显示集合中的所有文档。查询如下:
> db.groupByDateDemo.find().pretty();
输出结果如下:
{
"_id" : ObjectId("5c6ee4df6fd07954a4890695"),
"UserLoginDateTime" : ISODate("2019-02-21T17:50:23.076Z")
}
{
"_id" : ObjectId("5c6ee51c6fd07954a4890696"),
"UserLoginDateTime" : ISODate("2019-01-31T15:20:09.234Z")
}
{
"_id" : ObjectId("5c6ee5336fd07954a4890697"),
"UserLoginDateTime" : ISODate("2017-04-21T16:12:13.240Z")
}
{
"_id" : ObjectId("5c6ee54b6fd07954a4890698"),
"UserLoginDateTime" : ISODate("2016-05-25T19:11:21.130Z")
}
{
"_id" : ObjectId("5c6ee8de6fd07954a4890699"),
"UserLoginDateTime" : ISODate("2016-05-25T19:11:21.130Z")
}
{
"_id" : ObjectId("5c6ee8e76fd07954a489069a"),
"UserLoginDateTime" : ISODate("2019-02-21T18:07:35.208Z")
}
这是 MongoDB 中按日期分组的查询:
> db.groupByDateDemo.aggregate([
... { $group: {
... _id: {
... $add: [
... { $dayOfYear: "$UserLoginDateTime"},
... { $multiply:
... [400, {$year: "$UserLoginDateTime"}]
... }
... ]},
... NumberOfTimes: { $sum: 1 },
... f: {$min: "$UserLoginDateTime"}
... }
... },
... { $sort: {_id: 1} },
... { $limit: 10 },
... { $project: { date: "$f", NumberOfTimes: 1, _id: 0} }
... ]);
输出结果如下:
{ "NumberOfTimes" : 2, "date" : ISODate("2016-05-25T19:11:21.130Z") }
{ "NumberOfTimes" : 1, "date" : ISODate("2017-04-21T16:12:13.240Z") }
{ "NumberOfTimes" : 1, "date" : ISODate("2019-01-31T15:20:09.234Z") }
{ "NumberOfTimes" : 2, "date" : ISODate("2019-02-21T17:50:23.076Z") }
