We share common IT technologies (Java, Web, SQL, etc.) and practical applications of emerging software development techniques. New articles are posted daily. Follow IT Xianyu to stay ahead in tech. The IT Xianyu series is being regularly updated.
This guide walks you through setting up a MySQL instance on AlmaLinux using Docker Compose and explains the most impactful my.cnf parameters—innodb_buffer_pool_size, max_connections, innodb_flush_log_at_trx_commit, and sync_binlog—so you can safely boost database performance.
This comprehensive tutorial walks you through installing MySQL on AlmaLinux, covering prerequisite cleanup, official repository setup, secure configuration, service management, and an optional Docker‑Compose deployment, plus tips for connecting with DataGrip.
Learn how to prevent production outages by configuring Linux user-level ulimit limits, system-level cgroups, and Docker Compose resource constraints, with step-by-step commands, configuration examples, and best practices for monitoring and persistent settings across sessions.
Yearning is an open‑source Go + Vue MySQL audit platform that streamlines SQL review, approval, execution, and automatic rollback; this guide walks you through installing it on aimalinux or via Docker Compose, configuring DataGrip, and best practices for secure, traceable DBA workflows.
This tutorial walks you through preparing your environment, configuring DataGrip, and executing SQL scripts to connect and manage both MySQL and PostgreSQL databases, complete with hardware requirements, connection parameters, sample code, troubleshooting tips, and performance optimization advice.
This tutorial demonstrates how to use variables and loop constructs in MySQL and PostgreSQL stored procedures to iterate over a users table, filter records by age, and simulate sending a system welcome message, while comparing syntax differences between the two databases.
This tutorial explains why stored procedure parameters are essential, details the differences between IN, OUT, and INOUT parameters, and provides step‑by‑step MySQL examples—including environment setup, code snippets, execution results, common FAQs, and an advanced age‑checking exercise—to help developers write flexible, reusable procedures.
Learn how to create, execute, and troubleshoot a simple MySQL stored procedure using MySQL 8.0, covering delimiter changes, basic SQL syntax, result verification, common beginner mistakes, and extending the concept with parameterized examples.
This guide walks you through identifying MySQL bottlenecks, using EXPLAIN, optimizing indexes, rewriting queries, tuning configuration, applying architectural patterns, and learning from real‑world cases to dramatically speed up your database.
This guide explains what the MySQL slow query log is, why it matters for performance, how to check its status, enable it temporarily or permanently in Docker‑based deployments, troubleshoot command‑not‑found errors, read the log file, and filter entries to focus on the truly slow queries.
