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Getting started with MySQL plug-in development: writing custom functions (UDFs)
This article introduces the development of MySQL custom functions (UDF). 1. UDF allows users to extend MySQL functions and handle tasks that cannot be handled by built-in functions; 2. UDF development usually uses C language and requires familiarity with MySQL architecture and API; 3. Development steps include: initializing functions (checking parameters), core logic functions (implementing functions), and cleaning functions; 4. Pay attention to error handling, performance optimization, security and code maintainability. Through learning, developers can write UDFs that meet specific needs and improve database functions.
Apr 08, 2025 am 10:33 AM
Consistent Backends and UX: How Do New Algorithms Help?
In previous articles, we explained what consistency is, the difference between "strong" and "eventual" consistency, and why this distinction is more important
Apr 08, 2025 am 10:26 AM
Building a Real-Time Chat App with React and Firebase
In this article, we’ll cover key concepts for authenticating a user with Firebase in a real-time chat application. We’ll integrate third-party auth providers
Apr 08, 2025 am 09:19 AM
MongoDB Security Best Practices: Protecting Your Data From Unauthorized Access
Best practices for MongoDB security include enabling authentication, authorization, encryption, and auditing. 1) Enable authentication, use strong passwords and SCRAM-SHA-256 mechanisms; 2) Authorize through roles and permissions; 3) Encrypt data transmission and storage using TLS/SSL; 4) Enable audit function to record database operations and regularly audit to discover security issues.
Apr 08, 2025 am 12:14 AM
MongoDB Sharding: Scaling Your Database for High Volume Data
MongoDBSharding is a horizontal scaling technology that improves database performance and capacity by dispersing data across multiple servers. 1) Enable Sharding:sh.enableSharding("myDatabase"). 2) Set the shard key: shardCollection("myDatabase.myCollection",{"userId":1}). 3) Select the appropriate shard key and block size, optimize query performance and load balancing, and achieve efficient data management and expansion.
Apr 07, 2025 am 12:08 AM
MongoDB Replication: Ensuring High Availability & Data Redundancy
MongoDB's replication set ensures high availability and redundancy of data through the following steps: 1) Data synchronization: the master node records write operations, and the replica node synchronizes data through oplog; 2) Heartbeat detection: the node regularly sends heartbeat signal detection status; 3) Failover: When the master node fails, the replica node elects a new master node to ensure that the service does not interrupt.
Apr 06, 2025 am 12:14 AM
MongoDB Atlas: Cloud Database Service for Scalable Applications
MongoDBAtlas is a fully managed cloud database service that helps developers simplify database management and provide high availability and automatic scalability. 1) It is based on MongoDB's NoSQL technology and supports JSON format data storage. 2) Atlas provides automatic scaling, high availability and multi-level security measures. 3) Examples of use include basic operations such as inserting documents and advanced operations such as aggregate queries. 4) Common errors include connection failure and low query performance, and you need to check the connection string and use the index. 5) Performance optimization strategies include index optimization, sharding strategy and caching mechanism.
Apr 05, 2025 am 12:15 AM
MongoDB Interview Questions: Ace Your NoSQL Database Interview
MongoDB interview skills include: 1) Understand the basics of MongoDB, such as BSON format and document storage; 2) Master core concepts such as databases, collections, and documents; 3) Be familiar with working principles, such as memory mapping and sharding; 4) Be proficient in basic and advanced usage, such as CRUD operations and aggregation pipelines; 5) Master debugging skills, such as solving connection and query problems; 6) Understand performance optimization strategies, such as indexing and sharding.
Apr 04, 2025 am 12:08 AM
MongoDB Performance Tuning: Optimizing Read & Write Operations
The core strategies of MongoDB performance tuning include: 1) creating and using indexes, 2) optimizing queries, and 3) adjusting hardware configuration. Through these methods, the read and write performance of the database can be significantly improved, response time, and throughput can be improved, thereby optimizing the user experience.
Apr 03, 2025 am 12:14 AM
How to design a database to meet the business needs of nearly 400 fields?
Faced with massive fields, business database design, many business scenarios require the integration of data from multiple external platforms, which often leads to a surge in the number of database table fields...
Apr 02, 2025 pm 03:24 PM
Advanced MongoDB Tutorial: Mastering Indexing & Query Optimization
MongoDB's advanced index and query optimization skills include: 1. Create single-field index optimization simple queries; 2. Use composite index optimization to optimize complex queries and sorting; 3. Use the explain() method to debug index usage; 4. Select the appropriate index type and regularly maintain index strategies to improve performance. Through these methods, the query efficiency of MongoDB can be significantly improved.
Apr 02, 2025 pm 02:10 PM
MongoDB Deep Dive: Aggregation Framework, Schema Design & Data Modeling
MongoDB's aggregation framework is used for data processing and analysis, schema design and data modeling for organizing and optimizing data. 1. The aggregation framework processes document flow through stages, such as $match, $group, $project, etc. 2. Pattern design defines the document structure, and data modeling optimizes query through collection and index.
Mar 31, 2025 pm 04:06 PM
Advanced Redis Tutorial: Mastering Caching & Data Structures
Redis can be used for cache and data structure management. 1) As the cache layer, Redis supports LRU and LFU policies to improve application response speed. 2) Provide a variety of data structures, such as strings, lists, collections, hash tables and ordered collections, which are suitable for different application scenarios.
Mar 31, 2025 pm 04:06 PM
How do you design a database schema for a specific application?
The article discusses designing a database schema for applications, focusing on steps like requirements gathering, conceptual and logical design, normalization, and optimization. Key considerations include data integrity, scalability, performance, an
Mar 31, 2025 am 10:50 AM
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