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Home

Technical Articles

Database

MongoDB

The Role of MongoDB in a Modern Microservices Architecture

MongoDBenablesper-servicedataownershipviadocumentstorage,eliminatingjoins;2.Itsschemaflexibilityallowsrapiditerationwithoutmigrations;3.Nativeshardingsupportshorizontalscalingperservice;4.IntegratesseamlesslywithmoderntoolslikeKubernetesandAtlasforre

Aug 16, 2025 am 02:35 AM

mongodb microservices

Optimizing Your MongoDB Queries

Useindexesstrategicallybycreatingthemonfrequentlyqueriedfields,usingcompoundindexesformulti-fieldquerieswithproperorder(equalitybeforerange),avoidingover-indexing,andverifyingindexusagewith.explain("executionStats")toensure"IXSCAN&quot

Aug 15, 2025 pm 04:39 PM

Migrating to MongoDB Atlas

Evaluate the current database size, version, architecture and dependencies; 2. Select the appropriate level of Atlas according to the load and enable backup; 3. Use mongodump/mongorestore or DMS to migrate data and manually rebuild indexes and users; 4. Update the application connection string to SRV format and optimize the connection pool; 5. Enable monitoring alarms and performance suggestions in the early stage to avoid IP unwhitelisted, untested high availability, and version incompatibility issues. Migration is the starting point rather than the end point of database modernization.

Aug 15, 2025 pm 04:19 PM

Troubleshooting Common MongoDB Errors

"E11000duplicatekeyerror": Check the unique index, use upsert to update or adjust the data; 2. "Connectionrefused": Confirm that the service is running, the connection string is correct, and the network is not blocked; 3. "Cursornotfound": add noCursorTimeout, pagination or projection to reduce the amount of data; 4. "Documentfailedvalidation": Check the schema rules, temporarily close verification or pre-validation with ODM; 5. Slow query: use explain to analyze and create necessary indexes to avoid full table scanning. This list covers 90% of common problems in MongoDB production and asks

Aug 15, 2025 pm 01:50 PM

mongodb mistake

Implementing ACID Transactions in a Distributed MongoDB Environment

Use multi-document transactions (MongoDB4.0): Fully supported in replica sets, supported since 4.2 in shard clusters, but must be limited to single shards or enabled distributed transactions, and the transaction duration should be less than 60 seconds; 2. Understand shard environment limitations: Avoid long transactions across shards, try to keep relevant documents in the same shard to reduce overhead; 3. Properly handle errors: catch TransientTransactionError automatically retry, distinguish UnknownTransactionCommitResult to avoid repeated commits; 4. Avoid high-frequency and low-latency scenarios using transactions: If you can accept final consistency or cross-shash writes cannot be batched, you should use single-document atomic operation or application layer compensation logic to end.

Aug 15, 2025 am 12:08 AM

Troubleshooting Common Performance Bottlenecks in MongoDB

Missingorinefficientindexescauseslowqueries;diagnosewithexplain("executionStats")andcreateappropriatecompoundindexes.2.SlowdiskI/Oariseswhendataexceedsmemorycapacity;ensureworkingsetfitsinRAM,useSSDs,monitorWiredTigercache,andoptimizestorag

Aug 14, 2025 pm 10:54 PM

mongodb Performance optimization

A Guide to Compound and Multikey Indexes in MongoDB

Compoundindexesimproveperformanceforqueriesfilteringorsortingonmultiplefields,withfieldorderbeingcrucialforefficiency.2.Multikeyindexesareautomaticallycreatedforarrayfields,indexingeachelementtoenablefastarray-basedqueries.3.Onlyonearrayfieldcanbeinc

Aug 14, 2025 pm 09:19 PM

MongoDB Change Streams in Action

ChangeStreams is a feature that MongoDB uses to listen for database changes in real time and must be run on a replica set or sharded cluster. 1. Create a stream through collection.watch() when using it, and listen to insert, update and other operations; 2. You can filter specific changes in combination with $match, such as field updates or operation types; 3. Use resumeAfter to carry resumeToken to achieve breakpoint connection to avoid event loss; 4. Applicable to real-time synchronization, audit logs, cross-service communication and other scenarios; 5. Notes include: you must use a replica set, ensure that event processing does not block, handle timeout reconnection, control permissions, and monitoring performance. Proper use significantly simplifies real-time systems

Aug 14, 2025 pm 09:09 PM

How to Implement a Resilient Replica Set in MongoDB

Use odd nodes (3, 5, or 7) and deploy nodes across at least two data centers to avoid split brains; 2. Configure priority and arbitration nodes through rs.initiate() to ensure correct elections; 3. Set writeConcern to major and use read preferences to reasonably ensure data security and consistency; 4. Monitor node health and replication delays, and automatically test whether failover is completed within 10-30 seconds through simulated failure test; 5. Enable TLS and key authentication to prevent unauthorized access - only if all five steps are implemented can MongoDB replica set be truly flexible.

Aug 14, 2025 pm 08:14 PM

How MongoDB Handles Joins

MongoDB does not support JOIN of traditional SQL, but implements data association in three ways: 1. Embedded design, directly store relevant data in the same document, suitable for scenarios where a pair of small amounts of data is often read together, with the fastest reading performance but may lead to excessive document size; 2. Reference method, manual association between multiple collections through application logic, suitable for one-to-many or shared data scenarios, maintaining data standardization but requires multiple queries and slow performance; 3. Use the $lookup aggregation pipeline to achieve a left-out connection, suitable for analytical or temporary queries, with high flexibility but moderate performance. The selection strategy should be based on the query pattern rather than forcing a certain model to effectively achieve data association.

Aug 13, 2025 am 07:58 AM

Top 5 Mistakes to Avoid with MongoDB

Thetop5MongoDBmistakestoavoidare:1.TreatingMongoDBlikearelationaldatabase—instead,useembeddeddocumentsforone-to-feworread-heavyrelationshipsanddesignschemasaroundquerypatterns;2.Ignoringoroverusingindexes—createtargetedindexesforcommonqueryfieldsandd

Aug 13, 2025 am 07:20 AM

Basic CRUD Operations in MongoDB

The core of MongoDB's CRUD operation is Insert→Find→Update→Delete, which can efficiently manage data using mongosh; 2. Use insertOne()/insertMany() to automatically create a collection; 3. Use find()/findOne() to support conditions and projection in query; 4. Use updateOne()/updateMany() to update with $set and other operators; 5. Use deleteOne()/deleteMany() or drop() to remove the document or the entire collection. Before the operation, be sure to use find() to verify the conditions to avoid error deletion. This process completely covers the basic number of MongoDB.

Aug 13, 2025 am 07:19 AM

Managing User Authentication and Authorization in MongoDB

Enable MongoDB authentication, add the --auth parameter at startup or set security.authorization to "enabled" in the configuration file and restart the service; 2. Create an administrator user before enabling authentication, use the useadmin and db.createUser() commands to create an administrator account with userAdminAnyDatabase, dbAdminAnyDatabase and readWriteAnyDatabase roles; 3. Create a minimum permission user for the application, such as a read-only user using the read role or an application user with the readWrite role.

Aug 13, 2025 am 12:29 AM

mongodb User Authentication

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