First open CMD, and then reach the BIN directory of MongoDB. The screenshot of opening CMD prompt is as follows.
Above, we entered the Run dialog box by pressing "Start" and then typing "RUN" and "ENTER".
Now, type CMD and press OK button to get the command line. The screenshot is as follows -
# Reach the BIN directory of MongoDB. Here's how to get to the BIN -
#Use query mongo --version. The query screenshot is as follows -
#It shows that our current MongoDB version is v4.0.5.
The above is the detailed content of How do I know which MongoDB version is installed using the command line?. For more information, please follow other related articles on the PHP Chinese website!
MongoDB: The Document Database ExplainedApr 30, 2025 am 12:04 AMMongoDB is a NoSQL database that is suitable for handling large amounts of unstructured data. 1) It uses documents and collections to store data. Documents are similar to JSON objects and collections are similar to SQL tables. 2) MongoDB realizes efficient data operations through B-tree indexing and sharding. 3) Basic operations include connecting, inserting and querying documents; advanced operations such as aggregated pipelines can perform complex data processing. 4) Common errors include improper handling of ObjectId and improper use of indexes. 5) Performance optimization includes index optimization, sharding, read-write separation and data modeling.
Is MongoDB Shutting Down? Examining the ClaimsApr 29, 2025 am 12:10 AMNo,MongoDBisnotshuttingdown.Itcontinuestothrivewithsteadygrowth,anexpandinguserbase,andongoingdevelopment.Thecompany'ssuccesswithMongoDBAtlasanditsvibrantcommunityfurtherdemonstrateitsvitalityandfutureprospects.
MongoDB: Addressing Concerns and Addressing Potential IssuesApr 28, 2025 am 12:19 AMCommon problems with MongoDB include data consistency, query performance, and security. The solutions are: 1) Use write and read attention mechanisms to ensure data consistency; 2) Optimize query performance through indexing, aggregation pipelines and sharding; 3) Use encryption, authentication and audit measures to improve security.
Choosing Between MongoDB and Oracle: Use Cases and ConsiderationsApr 26, 2025 am 12:28 AMMongoDB is suitable for processing large-scale, unstructured data, and Oracle is suitable for scenarios that require strict data consistency and complex queries. 1.MongoDB provides flexibility and scalability, suitable for variable data structures. 2. Oracle provides strong transaction support and data consistency, suitable for enterprise-level applications. Data structure, scalability and performance requirements need to be considered when choosing.
MongoDB's Future: The State of the DatabaseApr 25, 2025 am 12:21 AMMongoDB's future is full of possibilities: 1. The development of cloud-native databases, 2. The fields of artificial intelligence and big data are focused, 3. The improvement of security and compliance. MongoDB continues to advance and make breakthroughs in technological innovation, market position and future development direction.
MongoDB and the NoSQL RevolutionApr 24, 2025 am 12:07 AMMongoDB is a document-based NoSQL database designed to provide high-performance, scalable and flexible data storage solutions. 1) It uses BSON format to store data, which is suitable for processing semi-structured or unstructured data. 2) Realize horizontal expansion through sharding technology and support complex queries and data processing. 3) Pay attention to index optimization, data modeling and performance monitoring when using it to give full play to its advantages.
Understanding MongoDB's Status: Addressing ConcernsApr 23, 2025 am 12:13 AMMongoDB is suitable for project needs, but it needs to be used optimized. 1) Performance: Optimize indexing strategies and use sharding technology. 2) Security: Enable authentication and data encryption. 3) Scalability: Use replica sets and sharding technologies.
MongoDB vs. Oracle: Choosing the Right Database for Your NeedsApr 22, 2025 am 12:10 AMMongoDB is suitable for unstructured data and high scalability requirements, while Oracle is suitable for scenarios that require strict data consistency. 1.MongoDB flexibly stores data in different structures, suitable for social media and the Internet of Things. 2. Oracle structured data model ensures data integrity and is suitable for financial transactions. 3.MongoDB scales horizontally through shards, and Oracle scales vertically through RAC. 4.MongoDB has low maintenance costs, while Oracle has high maintenance costs but is fully supported.
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.
MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.
SublimeText3 English version
Recommended: Win version, supports code prompts!
PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function
