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Databases Jun 3, 2025 Lobster Programming

Master MySQL Locks: From Row to Intention Locks Explained with Real Examples

This article explains MySQL InnoDB locking mechanisms—including row, record, gap, next‑key, and intention locks—illustrates each type with SQL statements and performance_schema data, and shows how they interact during concurrent transactions.

transactiondatabaseConcurrencyinnodbmysqllocks
Databases Jun 1, 2025 IT Services Circle

Understanding MySQL Dual‑Master Architecture and Replication Modes

This article explains MySQL dual‑master architecture, covering dual‑master replication, master‑slave replication, master‑master with backup nodes, and ring replication, while discussing their advantages, common pitfalls such as loop replication and data inconsistency, and practical solutions to ensure high availability and data integrity.

High AvailabilityData ConsistencyMySQLDatabase ReplicationDual-Master
Cloud Native May 30, 2025 IT Xianyu

Understanding Linux Storage, LVM, and Docker Volumes for Persistent MySQL Data

This guide explains the fundamentals of Linux host file systems, LVM logical volumes, and Docker storage drivers, showing step‑by‑step how to format, mount, and persist MySQL data using Docker volumes and bind mounts on AlmaLinux servers.

DockerLinuxMySQLStorageLVMContainersVolumes
Databases May 30, 2025 FunTester

MySQL Performance Testing Practice: Simulating New User Registration

This article demonstrates a practical MySQL performance test using a simulated e‑commerce scenario, detailing the user table schema, multithreaded Java code for inserting random user records, parameterized inputs, success counting, and resource management to evaluate and improve registration throughput.

JavaDatabasePerformance TestingMySQLMultithreading
Databases May 29, 2025 Practical DevOps Architecture

Quick Solutions for MySQL Table Locks

This guide outlines a step‑by‑step method to diagnose and release MySQL table locks by checking open tables, inspecting running processes, querying InnoDB transaction and lock tables, and generating KILL statements to terminate blocking sessions.

SQLMySQLTroubleshootingDatabase AdministrationTable Lock
Databases May 28, 2025 Code Ape Tech Column

Evaluating MySQL Table Size and Optimizing Large Tables with Partitioning, Sharding, and Hot‑Cold Archiving

This article explains how to assess MySQL table size from table capacity, disk usage, and instance limits, describes why large tables degrade performance due to B+‑tree depth, and presents three practical solutions—partitioning, sharding, and hot‑cold archiving—to improve query speed and manage growth.

Performance OptimizationShardingMySQLB+TreeDatabase PartitioningHot Cold Archiving
Backend Development May 28, 2025 php中文网 Courses

Using PHP mysqli_query to Execute MySQL Queries

This article explains how to use PHP's mysqli_query function to perform MySQL operations such as SELECT, INSERT, UPDATE, and DELETE, providing a step‑by‑step example with connection handling, query execution, result processing, and best‑practice notes.

Databasebackend developmentMySQLPHPmysqli_query
Databases May 27, 2025 Aikesheng Open Source Community

MySQL Execution Plans in Tree Format

This article introduces MySQL's tree‑style execution plan output using EXPLAIN FORMAT=TREE, explains its advantages over traditional and JSON formats, and demonstrates its practical use through eight detailed SQL examples with full plan analysis and performance insights.

DatabaseMySQLSQL OptimizationExecution PlanTree Format
Databases May 27, 2025 IT Xianyu

Automated MySQL Backup Script with Docker and Crontab

This guide explains how to set up an automated MySQL backup solution on AlmaLinux using Docker containers, a Bash script, and crontab, covering environment preparation, script creation, command checks, logging, error handling, and optional enhancements such as email notifications and security best practices.

DockerAutomationLinuxMySQLBackupShell ScriptCrontab
Databases May 26, 2025 Top Architect

Design and Implementation of MySQL Table Sharding with ShardingSphere and Spring Boot

This article walks through the full process of designing, configuring, and implementing a sharding solution for large loan and repayment tables using ShardingSphere, Spring Boot 3, MySQL, and MyBatis‑Plus, covering schema planning, data migration, DBA coordination, code examples, common pitfalls, and operational considerations.

backendmigrationdatabaseshardingmysqlspringbootcode
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