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Technical Articles

Database

MongoDB

How to Use Change Streams in MongoDB to React to Data Changes

ChangestreamsinMongoDBenablereal-timemonitoringofdatachangesacrosscollections,databases,ordeployments,requiringareplicasetorshardedclustertoaccesstheoplog;usethewatch()methodinNode.jstolistenforeventslikeinsert,update,ordelete,filterspecificchangesus

Sep 15, 2025 am 03:23 AM

How to Design a Multi-Tenant Architecture in MongoDB

Answer: Choosing the right multi-tenant data model is the key. Shared collections are suitable for small and medium-sized applications. Independent databases are suitable for high isolation requirements. Tenant isolation needs to be forced at the application layer, indexing is optimized to improve query efficiency, and manage differences between tenants through pattern verification to ensure a balance between security and performance.

Sep 15, 2025 am 03:20 AM

How to Optimize Memory Usage in MongoDB

Answer: Optimizing MongoDB memory usage requires reasonable configuration of WiredTiger cache, streamlined indexing and continuous monitoring. Specifically, it includes setting wiredTigerCacheSizeGB to balance memory allocation, avoiding cache hunger for OS files, deleting redundant indexes to reduce memory pressure, and monitoring memory usage through tools such as mongostat and top to ensure the system is stable and efficient.

Sep 14, 2025 am 04:20 AM

mongodb Memory optimization

How to Use the MongoDB Connector for Spark

TheMongoDBConnectorforSparkintegratesMongoDBwithApacheSparkforlarge-scaleanalyticsandETL.2.SetuptheconnectorviaMavenor--packagesinPySpark.3.Readdatausingspark.read.format("mongodb")withaURI,enablingschemainferenceordisablingitforperformance

Sep 13, 2025 am 06:29 AM

mongodb spark

Using MongoDB GridFS for Storing and Retrieving Large Files

GridFS is a built-in solution for MongoDB to store more than 16MB of large files. It divides the file into 255KB blocks and stores it in two sets of fs.files (metadata) and fs.chunks (data blocks). It supports streaming upload and download, partial reading and additional metadata, and is suitable for scenarios that need to be closely integrated with the database. 1. Using GridFS, you need to create a GridFSbucket through the MongoDB driver and call openUploadStream to upload files; 2. When downloading, use openDownloadStreamByName to stream and read by name; 3. All files can be listed by querying the uploads.files collection.

Sep 13, 2025 am 06:02 AM

How to Model Data for a Social Network in MongoDB

ModelsocialnetworkdatainMongoDBbyprioritizingquerypatternsovernormalization.2.Embedfrequentlyaccessed,boundeddatalikecommentsinpostsforperformance.3.Referencelargeorhigh-volumerelationshipslikelikesandfollowerstopreventdocumentbloat.4.Storeuserfollow

Sep 12, 2025 am 12:31 AM

How to Use MongoDB for Real-Time Analytics

MongoDBsupportsreal-timeanalyticsthroughchangestreamsforimmediatedataingestion,enablingreactiveupdatestodashboardsoralerts.Itsaggregationpipelineallowson-the-flyanalysiswithoperatorslike$match,$group,and$dateTruncfortime-basedinsights.Properschemades

Sep 12, 2025 am 12:15 AM

mongodb

How to Optimize MongoDB for Read-Heavy Workloads

OptimizeMongoDBforread-heavyworkloadsbyimplementingtargetedindexes,ensuringefficientqueryexecution,anddistributingdataeffectively.First,createcompoundindexestailoredtohigh-frequencyqueries,orderingfieldsbyequality,sort,andrange;usecoveredqueriesandre

Sep 11, 2025 pm 03:05 PM

optimization mongodb

How to Enforce a Schema in MongoDB Collections

MongoDB's DocumentValidation can enforce data consistency in the collection, define field types, ranges and other rules through validator, and support operators such as $and, $type, $regex, etc., to verify when inserting or updating. You can set the validationAction to warn or error. ValidationLevel controls the verification level, and the rules can be modified or removed by collMod.

Sep 11, 2025 pm 12:28 PM

Using MongoDB as a Vector Database for AI and ML Applications

MongoDBcanstorevectorembeddingsusingarrayfields,enablingsimpleintegrationofAI/MLworkflowsintoexistingapplications.2.WithMongoDBAtlasSearch,youcanperformapproximatenearestneighbor(ANN)searchesviacosinesimilaritybycreatingavectorindexandusingthe$search

Sep 10, 2025 am 05:26 AM

Mastering Queries in MongoDB

Usefind()toretrievemultipledocumentsandfindOne()togetthefirstmatch,optionallyusingprojectiontolimitfields.2.Applycomparisonoperatorslike$gt,$lt,$inandlogicaloperatorslike$and,$orforcomplexfiltering.3.Querynesteddocumentswithdotnotationandarraysusinge

Sep 10, 2025 am 03:25 AM

mongodb Inquire

Performance Tuning for High Throughput Writes in MongoDB

Use unordered batch writes (bulkWritewithordered:false) to improve write efficiency; 2. If the risk of data loss is acceptable, disable logs (j:false or global shutdown journal) to reduce I/O overhead; 3. Tune the WiredTiger storage engine to increase cache, enable compression and pre-slice to avoid hotspots; 4. Simplify the indexing strategy, create only necessary indexes to avoid excessive indexes to slow down writes; 5. Realize horizontal scaling through hash sharding, and distribute the write load to support high throughput. The core of optimization lies in batch processing, reducing persistence requirements, rationally configuring storage, controlling the number of indexes and timely sharding, thereby maximizing MongoDB write performance and ultimately achieving stable and efficient write-intensive w

Sep 09, 2025 am 03:01 AM

mongodb Performance optimization

How to Perform CRUD Operations in MongoDB

MongoDBCRUDoperationsuseinsert,find,update,anddeletemethods.First,insertdocumentswithinsertOne()orinsertMany().Then,retrievedatausingfind()orfindOne(),withoptionalfiltersandfieldprojections.Next,modifydocumentsviaupdateOne(),updateMany(),orreplaceOne

Sep 09, 2025 am 01:39 AM

How to Use Partial Indexes to Optimize Queries in MongoDB

PartialindexesinMongoDBimproveperformancebyindexingonlydocumentsthatmatchaspecifiedcondition,reducingstorageandenhancingqueryspeed.TheyarecreatedusingthepartialFilterExpressionoption,suchasindexingemailsonlyforactiveusers:db.users.createIndex({email:

Sep 08, 2025 am 02:25 AM

mongodb