Tech Articles
Overcoming the N+1 Query Dilemma in Database Interactions
Explores the N+1 query problem, its impact on database performance, and effective solutions like JOINs and batch loading with practical code examples.
High-Performance Structured Logging in Go with slog and zerolog
Explore how Go 1.21's slog and the popular zerolog library empower developers to achieve highly performant and context-rich structured logging for robust applications.
A Practical Guide to Go’s Timer and Ticker
Explains Go’s Timer and Ticker with usage, differences, and resource management tips.
Ensuring Data Integrity in Web Applications with Database Transaction Control
This article delves into the critical role of ACID properties and transaction isolation levels in maintaining data integrity and consistency within web applications, providing practical insights and code examples.
Embracing Modern HTTP Protocols: Enabling HTTP/2 and Exploring Experimental HTTP/3 in Go Web Servers
This article delves into the practical aspects of upgrading Go web servers to leverage the performance benefits of HTTP/2 and explores the early integration of experimental HTTP/3 support, providing code examples and theoretical background.
Build a Pure Node.js Search Engine from Scratch Using Only Node.js
In the era of information explosion, search engines have become the core tool for people to access information. From Google to Bing, these large-scale search engines are backed by complex technical architectures, but their core principles can be implemented using basic technology stacks. This article will guide you through building a TF-IDF algorithm-based English search engine from scratch using pure Node.js, without any third-party libraries, storing the inverted index in CSV files. Through this practice, you will gain a deep understanding of the core mechanisms of information retrieval and master key technologies in text processing, weight calculation, and index construction.
Why Web Applications Need Database Connection Pooling and How to Configure It
This article delves into the necessity of database connection pooling for web applications, explaining its core concepts and providing practical guidance on configuring essential parameters to optimize performance and resource management.
From Cache Breakdown to Robustness: singleflight in Go
Learn how Go’s singleflight package prevents cache breakdown and optimizes concurrent database access.
Build a Search Engine in Pure Python, Step by Step — No Dependencies Needed
Through this article, we've built a TF-IDF-based English search engine from scratch without relying on any third-party libraries, and stored the key inverted index in CSV format. This process has allowed us to gain an in-depth understanding of the core principles and implementation details of search engines, including key steps such as document preprocessing, inverted index construction, TF-IDF calculation, and query processing. While this implementation is relatively simple, it covers the basic framework of modern search engines. On this foundation, you can further expand the functionality and optimize performance to build a more powerful retrieval system. Whether for academic research or practical applications, understanding these basic principles is an important step in deepening your knowledge of information retrieval technology. We hope this article has opened the door to the field of information retrieval for you, inspiring your interest and desire to explore search engine technology. In this era of information explosion, mastering information retrieval technology not only helps us obtain information more efficiently but also provides a solid foundation for research in fields such as data mining and artificial intelligence.
Bolstering Web Applications with Redis Cache
Explore how Redis, through Cache-Aside and Read-Through patterns, effectively enhances the performance and scalability of web applications by optimizing data retrieval.
Navigating Database Schema Evolution with Grace
This article delves into the intricacies of database schema migration, outlining its workflow, best practices, and essential tools for seamless database evolution.
Understanding Grouping in SQL Queries
Grouping in SQL helps summarize and analyze data efficiently.
Understanding CTEs (Common Table Expressions) in SQL
CTEs simplify, organize, and enhance complex SQL queries.
Understanding Condition Statements in SQL
Condition statements enable precise, efficient data filtering in SQL.
How to Build a Event Bus in Go
A practical guide to building a simple event bus in Go using publish-subscribe patterns and channels.
Storing and Indexing Unstructured Data with JSONB in Postgres
Explore the benefits of using PostgreSQL's JSONB column type for efficient storage and indexing of flexible, non-relational data within a robust relational database framework.
Building a Swift Search Experience with PostgreSQL
Discover how to leverage PostgreSQL's native full-text search capabilities to provide a robust and efficient search function for your website, complete an in-depth guide and practical code examples.
Database Architectures for Multi-Tenant Web Applications
A deep dive into different database architectures for multi-tenant web applications, explaining their pros, cons, and implementation considerations.
Clean Architecture in Go Using go-clean-arch
Explains how to implement Clean Architecture in Go with practical examples from the go-clean-arch project.
Scaling Reads and Writes with Database Replication
Explore how database master-replica replication enables read-write splitting, improving performance and availability in data-intensive applications.
Defending Against SQL Injection with Prepared Statements
This article delves into the principles of SQL injection attacks and demonstrates how parameterized queries (Prepared Statements) effectively protect against them, using practical code examples.
Log Rotation and File Splitting in Go: Insights from logrus, zap, and slog
Comparative analysis of log rotation and file splitting with Go logging libraries logrus, zap, and slog.
Paging Strategies Comparing OFFSET/LIMIT and Keyset Cursor-Based Methods
This article delves into the performance differences and optimal use cases for OFFSET/LIMIT and Keyses (Cursor-based) paging strategies in database systems, providing practical examples and clear explanations.
How to Rename a Column in SQL
Different SQL databases require different commands to rename columns.
How to Add a Column in a Table Using SQL
Add columns to SQL tables using the `ALTER TABLE` statement.
PyTorch Lightning: Simplifying Deep Learning Research and Production
PyTorch Lightning simplifies deep learning research and scalable model deployment.
Hands-on with Go’s slog Package
Learn how to use Go’s slog package for clear, structured, and customizable application logs.
Streamlining Database Operations with SQL Views
Discover how SQL Views simplify complex queries and enhance access control, improving database management and security.
Blueprint for Digital Commerce A Relational Database Design
This article outlines a comprehensive relational database design for typical e-commerce and blog websites, covering essential entities like users, products, orders, and posts, alongside their relationships and implementation details.
How to Download and Install PyTorch
Step-by-step guide for installing PyTorch on any system.
How to Install PyTorch Using Pip
Install PyTorch easily using pip and verify your setup for smooth deep learning.
A Practical Overview of PyTorch Geometric for Graph Neural Networks
PyTorch Geometric enables fast, flexible graph deep learning with scalable, research-friendly features.
Effective Error Handling in Go’s Gin Framework
Best practices for error management and real-time error tracking in Gin-powered Go web services.
How to Install PyTorch Using Conda
Use Conda and official commands for reliable PyTorch installation.
Understanding PyTorch DataLoader: Efficient Data Loading for Deep Learning
PyTorch DataLoader enables efficient, flexible, and scalable deep learning data handling.
TensorFlow vs PyTorch: A Comparative Analysis for 2025
PyTorch leads in research; TensorFlow excels in production deployment.
Comparing MVC and DDD Layered Architectures in Go: A Detailed Guide
A comprehensive comparison of MVC and DDD layered architectures in Go, with structure, examples, and practical guidance.
Boost Go Performance Instantly with Sync.Pool Explained
In concurrent programming, the frequent creation and destruction of objects can lead to significant performance overhead. The `sync.Pool` mechanism in Go language effectively reduces memory allocation and garbage collection pressure through object reuse strategies. This article will provide a comprehensive analysis of this high-performance component, covering usage scenarios, core principles, and practical optimizations.
Learning Go Testing from Kubernetes
A practical guide to unit testing, mocking, and TDD in Go, inspired by real-world Kubernetes practices.
Learning Go Engineering Practices from Kubernetes
Key Go engineering lessons from Kubernetes: efficient concurrency, modular architecture, abstraction, and decoupled component design.
Learning Code Readability from Kubernetes
Practical lessons on naming and commenting for clearer, more maintainable code, inspired by Kubernetes source.
Learning Architecture Design from Kubernetes
Pragmatic lessons from K8s: delay abstraction, embrace necessary duplication, and design for maintainable, evolving systems.
FastAPI Engine: How Uvicorn Delivers Speed: A Deep Dive into Python’s ASGI Server
By deeply understanding the ASGI protocol specification and asynchronous IO model, you can build web servers that meet high-concurrency scenarios. In practice, choose appropriate optimization strategies based on specific business needs to find the best balance between functional completeness and performance.
How Python Talks to PostgreSQL: A Deep Dive from Psycopg to ORM
In modern software development, relational databases still serve as one of the core choices for data storage. PostgreSQL, with its powerful functions, high reliability, and scalability, has become the first choice for many enterprise - level applications. Python, as a concise and efficient programming language, combines perfectly with PostgreSQL. This article will deeply explore how to use Python to operate the PostgreSQL database. It will focus on analyzing the usage methods and precautions of the native driver Psycopg, as well as the essential differences from the Object - Relational Mapping (ORM) framework, so as to help developers choose appropriate technical solutions according to actual needs.
Learning Go Interface Encapsulation from Kubernetes
Discover how Kubernetes uses Go interfaces to hide details, enable mocks, and support multiple implementations.
Why Rust Is the Future of Web Development
Rust’s core design principles—memory safety, zero-cost abstractions, and modern language features—make it excel in web development scenarios. The following sections elaborate, from an engineering practice perspective, on how Rust addresses common pain points in web development and brings unique advantages.
Learning Large-Scale Go Project Architecture from Kubernetes
Kubernetes project structure and design principles for scalable, maintainable Go applications.
PostgreSQL as a Search Engine: Deep Dive into Inverted Indexes
In the era of data explosion, efficient text retrieval capability has become one of the core competitiveness of database systems. As the world's most advanced open - source relational database, PostgreSQL provides a solid technical foundation for building enterprise - level search engines through the built - in **GIN (Generalized Inverted Index)** combined with a full - text search framework. This article will deeply analyze the implementation principle of PostgreSQL's inverted index, demonstrate how to meet complex search engine requirements with specific cases, and discuss performance optimization strategies.