Date/time can be stored in MongoDB in two different ways. In the first approach, you can use the Date object just like JavaScript. Date objects are the best way to store date/time in MongoDB. The syntax is as follows:
new Date();
In the second method, you can use ISODate(). The syntax is as follows:
new ISODate();
To understand the above syntax, let us follow the first method to create a collection containing documents. The query to create a collection using documents is as follows:
First method:
> db.ProductsInformation.insertOne({"ProductId":"Product-1","ProductDeliveryDateTime":new Date()}); { "acknowledged" : true, "insertedId" : ObjectId("5c6ec6786fd07954a4890686") }
Second method:
> db.ProductsInformation.insertOne({"ProductId":"Product-2","ProductDeliveryDateTime":new ISODate()}); { "acknowledged" : true, "insertedId" : ObjectId("5c6ec6846fd07954a4890687") }
Display all documents in the collection with the help of the find() method. The query is as follows:
> db.ProductsInformation.find().pretty();
The following is the output:
{ "_id" : ObjectId("5c6ec6786fd07954a4890686"), "ProductId" : "Product-1", "ProductDeliveryDateTime" : ISODate("2019-02-21T15:40:40.901Z") } { "_id" : ObjectId("5c6ec6846fd07954a4890687"), "ProductId" : "Product-2", "ProductDeliveryDateTime" : ISODate("2019-02-21T15:40:52.684Z") }
Note: The best way to store date/time objects is to use a Date object.
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MongoDB is a NoSQL database because of its flexibility and scalability are very important in modern data management. It uses document storage, is suitable for processing large-scale, variable data, and provides powerful query and indexing capabilities.

You can use the following methods to delete documents in MongoDB: 1. The $in operator specifies the list of documents to be deleted; 2. The regular expression matches documents that meet the criteria; 3. The $exists operator deletes documents with the specified fields; 4. The find() and remove() methods first get and then delete the document. Please note that these operations cannot use transactions and may delete all matching documents, so be careful when using them.

To set up a MongoDB database, you can use the command line (use and db.createCollection()) or the mongo shell (mongo, use and db.createCollection()). Other setting options include viewing database (show dbs), viewing collections (show collections), deleting database (db.dropDatabase()), deleting collections (db.<collection_name>.drop()), inserting documents (db.<collecti

Deploying a MongoDB cluster is divided into five steps: deploying the primary node, deploying the secondary node, adding the secondary node, configuring replication, and verifying the cluster. Including installing MongoDB software, creating data directories, starting MongoDB instances, initializing replication sets, adding secondary nodes, enabling replica set features, configuring voting rights, and verifying cluster status and data replication.

MongoDB is widely used in the following scenarios: Document storage: manages structured and unstructured data such as user information, content, product catalogs, etc. Real-time analysis: Quickly query and analyze real-time data such as logs, monitoring dashboard displays, etc. Social Media: Manage user relationship maps, activity streams, and messaging. Internet of Things: Process massive time series data such as device monitoring, data collection and remote management. Mobile applications: As a backend database, synchronize mobile device data, provide offline storage, etc. Other areas: diversified scenarios such as e-commerce, healthcare, financial services and game development.

How to view MongoDB version: Command line: Use the db.version() command. Programming language driver: Python: print(client.server_info()["version"])Node.js: db.command({ version: 1 }, (err, result) => { console.log(result.version); });

MongoDB provides a sorting mechanism to sort collections by specific fields, using the syntax db.collection.find().sort({ field: order }) ascending/descending order, supports compound sorting by multiple fields, and recommends creating indexes to improve sorting performance.

To connect to MongoDB with Navicat: Install Navicat and create a MongoDB connection; enter the server address in the host, enter the port number in the port, and enter the MongoDB authentication information in the user name and password; test the connection and save; Navicat will connect to the MongoDB server.


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