Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Group by dates in MongoDB?
You can use aggregate framework to group by dates in MongoDB. Let us first create a collection with some documents. The query to create a collection with documents are as follows:
> 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")
}Display all documents from a collection with the help of find() method. The query is as follows:
> db.groupByDateDemo.find().pretty();
The following is the output:
{
"_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")
}Here is the query to group by dates in MongoDB:
> 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} }
... ]);The following is the output:
{ "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") }
Updated on: 30-Jul-2019
474 Views
Advertisements