To generate ObjectID, use the following syntax in MonogDB shell −
new ObjectId()
Let us implement the above syntax to generate ObjectID in MongoDB −
> new ObjectId() ObjectId("5cd7bf2f6d78f205348bc646") > new ObjectId() ObjectId("5cd7bf316d78f205348bc647") > new ObjectId() ObjectId("5cd7bf336d78f205348bc648") > new ObjectId() ObjectId("5cd7bf346d78f205348bc649") > new ObjectId() ObjectId("5cd7bf356d78f205348bc64a") > new ObjectId() ObjectId("5cd7bf396d78f205348bc64b") > new ObjectId() ObjectId("5cd7bf3a6d78f205348bc64c")
As shown above, you will get a new ObjectId every time.
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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.

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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); });

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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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