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Home

Technical Articles

Database

MongoDB

What are some common error codes in MongoDB, and how can they be interpreted?

Common problems with MongoDB error code include connection errors, write errors, authentication errors, and query errors. 1. Connection errors such as Error6 (host is not reached), 7 (host not found), 8 (network timeout), 47 (connection is rejected) are usually related to network configuration or service status. The server operation status, firewall settings and connection parameters need to be checked. 2. Write operation errors such as Error11000 (repeated key error) due to unique index conflicts, Error91 (write attention failed) is related to the replica set confirmation mechanism not satisfied, and the index definition and replica set member status should be verified. 3. Authentication errors such as Error18 (authentication failed) and 13 (unauthorized) originate from credentials or permissions. Username, password and role need to be checked.

Aug 12, 2025 am 07:47 AM

mongodb error code

Building a REST API with MongoDB

To build a MongoDB-based RESTAPI, you need to follow the following steps: 1. Initialize the Node.js project and install Express, Mongoose, dotenv and other dependencies, create server files and configure middleware and MongoDB connections; 2. Design Mongoose model, such as defining a Book model containing title, author and year of publication; 3. Create a REST route to implement CRUD operations, including obtaining all books, querying according to ID, adding, updating and deleting books, and handling ID searches and errors through middleware; 4. Optionally add input verification, error handling, CORS and rate limiting to enhance security; 5. Use .env file to manage environment variables, match

Aug 12, 2025 am 06:16 AM

mongodb rest api

Mastering the MongoDB Shell for Efficient Database Administration

MasteringtheMongoDBshellisessentialforfullcontroloverMongoDBenvironments.2.Keycommandslikeshowdbs,use,andshowcollectionsenablequicknavigationandbasicoperations.3.Usefind(),findOne(),andexplain("executionStats")toqueryandanalyzeperformance.4

Aug 12, 2025 am 04:49 AM

Building a REST API with Node.js, Express, and MongoDB

Initialize the project and install Express, Mongoose, dotenv, cors, helmet, morgan and nodemon; 2. Use .env files to configure environment variables and connect to MongoDB with Mongoose; 3. Create an Express server and configure middleware; 4. Define the user model; 5. Set up REST routes and controllers to implement CRUD operations; 6. Use Postman and other tools to test the API; 7. Add global error handling to enhance robustness, and finally build a Node.jsRESTAPI with complete CRUD functions and clear structure.

Aug 12, 2025 am 01:04 AM

node.js rest api

Analyzing Logs and Metrics for a Healthy MongoDB Environment

Monitorkeyperformancemetricssuchasoperationlatency,queuelength,memoryusage,connectioncount,replicationlag,anddiskI/Otodetectbottlenecksandsystemstress.2.AnalyzeMongoDBlogsforslowqueries,replicationissues,storagewarnings,andauthenticationfailuresusing

Aug 11, 2025 pm 03:15 PM

What are geospatial indexes, and how are they used for location-based queries?

Geospatialindexesarespecializeddatabasestructuresdesignedtoefficientlymanageandquerymulti-dimensionalspatialdata.Unlikeregularindexes,whichworkwithone-dimensionalvalueslikenamesordates,geospatialindexeshandlecomplexqueriesinvolvinggeographiclocations

Aug 11, 2025 pm 01:39 PM

Location query 地理空間索引

Connecting to MongoDB with Python

Install PyMongo: Use pipinstallpymongo to install the driver. 2. Connect to local MongoDB: Connect through MongoClient('mongodb://localhost:27017/'), the default URI is the local instance. 3. Connect to MongoDBAtlas: Use an SRV connection string containing the username, password and cluster URL, such as mongodb srv://user:pass@cluster.host/dbname. 4. Security configuration: Set a network whitelist in Atlas and store credentials through environment variables. 5. Perform CRUD operation: Use insert_one

Aug 11, 2025 am 11:32 AM

An Introduction to MongoDB Atlas

MongoDBAtlasistheofficialfullymanagedclouddatabaseserviceforMongoDBthatsimplifiesdeployment,management,andscalingofdatabases.1.Itenablesone-clickdeploymentacrossAWS,GoogleCloud,orAzurewithafreetieravailableforlearningandsmallprojects.2.Securityfeatur

Aug 11, 2025 am 11:10 AM

nosql database

Data Modeling Patterns in MongoDB

Use embedded mode to process small, fixed data that is always accessed together (such as user orders); 2. Use reference mode to process large or independently changing data (such as comments); 3. Use bucket mode to manage fast-growing time series data (such as logs); 4. Use pre-calculated fields to optimize frequent aggregation queries (such as total user consumption). The model should be selected based on the actual access mode, rather than the static structure, ensuring that the performance and maintainability balance end.

Aug 08, 2025 am 08:29 AM

Why are indexes crucial for query performance in MongoDB?

IndexesimproveMongoDBqueryperformancebyreducingdatascansandresourceusage.Withoutindexes,MongoDBperformsfullcollectionscans,whichareslowandinefficient.IndexesallowdirectaccesstorelevantdocumentsusingB-trees,speedinguplookups,rangequeries,andsorts.Fore

Aug 08, 2025 am 08:27 AM

mongodb index

How can you upgrade a MongoDB replica set or sharded cluster with minimal downtime?

Upgrading a MongoDB replica set or sharded cluster without causing significant downtime is feasible, but best practices are required. First check version compatibility to ensure that the new version is compatible with the current settings, especially when crossing multiple major versions, you need to check the changes in the release notes and upgrade the components in sequence; secondly, use rolling upgrades for the replica set, upgrade the secondary nodes one by one, and then upgrade the main nodes, maintain at least three nodes to maintain arbitration; again upgrade the shard cluster in stages, first upgrade the configuration server, then upgrade the mongos router, and finally upgrade each shard one by one; finally, in a production-like test environment, comprehensively verify the upgrade path, including backup recovery, load performance and monitoring tool compatibility, to ensure that all steps are executed in sequence and verified correctly before going online.

Aug 08, 2025 am 06:24 AM

最小停機(jī)時(shí)間

Mastering CRUD Operations in MongoDB for Modern Applications

MasteringCrudinMongodbrequiresDelingitsdocument Basedbson Modelforflexibledatamement.2.Ussertone () BervesinsertsandinsertMine () ForeffiTrientBulk operations, Whilevalidating data dandindexingfieldshandshandshand.

Aug 08, 2025 am 02:22 AM

mongodb crud

How to Choose a MongoDB Driver

Select the official MongoDB driver that matches the main and backend languages; 2. Check the maturity and community activity of the driver, and give priority to those that are supported and maintained frequently; 3. Select synchronous or asynchronous drivers based on the application architecture, and decide whether to use ORM as needed to balance development speed and performance; 4. Consider team experience, familiarity with ORM can improve efficiency, but it is recommended to directly connect to native drivers in high-performance scenarios.

Aug 07, 2025 pm 12:54 PM

選擇驅(qū)動(dòng)

Monitoring Your MongoDB Instance

UseMongoDB’sbuilt-intoolslikemongostatforreal-timeperformancestatsandmongotoptotrackcollection-levelread/writetimes.2.Enabledatabaseprofilingwithdb.setProfilingLevel(1,{slowms:100})tologslowqueriesandidentifyperformanceissueslikeCOLLSCANormissinginde

Aug 07, 2025 am 09:15 AM