This tutorial details deploying a three-node Seata 1.8.0 cluster using Docker Compose, Nacos for service registration and configuration, and MySQL for persistent transaction storage, covering directory layout, node-specific configs, database schema, and verification steps.
This article explains why SQL NULL represents an unknown state rather than a value, how three-valued logic (TRUE, FALSE, UNKNOWN) breaks equality comparisons, and demonstrates practical pitfalls with WHERE clauses, NOT IN subqueries, aggregate functions, and MySQL's NULL-safe operator.
The article explains why a MySQL SELECT * query scanning 20 million rows won't cause server-side OOM due to its streaming protocol using a 16KB net_buffer, but warns that full table scans can pollute the Buffer Pool, though InnoDB's midpoint insertion strategy and innodb_old_blocks_time (default 1s) protect hot data from eviction.
A shared WXG first-round interview experience lists 60 questions covering self-introduction, algorithms (IP-to-uint64, linked-list folding, uniform sampling), system design, AI tools, large-model hallucinations, RAG, vector search, collaborative filtering, 12306 ticketing architecture, Redis internals, MySQL B+ trees, concurrency locks, and design patterns.
This article analyzes four patterns for keeping Elasticsearch synchronized with MySQL — synchronous dual-write, message-queue async, CDC via Canal/binlog, and scheduled reconciliation — explaining why CDC with version-based deduplication and periodic checksums is the production-grade choice for eventual consistency at scale.
This article details eight common SQL anti-patterns — including OFFSET pagination, implicit type conversion, correlated subqueries in updates, mixed sorting, EXISTS clauses, blocked condition pushdown, late filtering, and unoptimized intermediate results — with execution plans and rewrites that reduce query times from seconds to milliseconds.
This article demonstrates how to implement a correct waitlist auto-promotion system for limited-capacity events using Spring Boot, MySQL InnoDB row locks, and database transactions to atomically handle cancellations and promotions without race conditions, ensuring the first waitlisted user always gets the freed spot.
This article details a complete disk I/O alert investigation in production, covering core concepts like IOPS vs throughput, iostat/iotop analysis, and five real-world cases including MySQL missing indexes, log misconfiguration, backup conflicts, Redis persistence, and filesystem mount options, providing a reusable troubleshooting methodology.
This article demonstrates how to prevent race conditions between order timeout closure and payment callbacks using atomic conditional UPDATE statements and SELECT FOR UPDATE with a refund outbox pattern, ensuring either payment wins and order becomes PAID, or closure wins and late payments trigger automatic refund compensation.
This article explains how MySQL's MVCC uses version chains and ReadViews to enable lock-free snapshot reads, why isolation levels control ReadView creation timing (per-statement vs per-transaction), and why READ UNCOMMITTED and SERIALIZABLE bypass MVCC entirely, while writes still require row locks.
The author benchmarks MariaDB 10.3, MySQL 8.0, and PostgreSQL 12 using a real Turkish motorcycle classifieds app with many simple queries, finding MariaDB 5% faster on average and 7% faster at p95 with lower CPU usage, though MySQL handles tail latency better and memory differences stem from default performance_schema settings.
This article details seven common MySQL index failure scenarios—including leftmost prefix violations, function usage on indexed columns, implicit type conversion, leading wildcards in LIKE, OR with non-indexed columns, IS NOT NULL, and NOT IN/EXISTS—with concrete SQL examples showing both failing and optimized queries.
This guide details MySQL scheduled backup using mysqldump commands for full, structural, and data-only exports, a Bash script that retains 31 days of rotating backups with logging, and crontab configuration for automated execution, including restore procedures and practical scheduling examples.
This guide covers MySQL scheduled backups using mysqldump with practical examples for full, structural, and data-only dumps, plus a Bash script with cron to automate daily backups and retain 31 days of history.
This article explains MySQL deadlocks with a concrete example of two transactions updating rows in opposite order, demonstrates deadlock detection via SHOW ENGINE INNODB STATUS, and lists prevention techniques including small transactions, proper isolation levels, lock wait timeouts, consistent operation order, and indexing.
The article demonstrates why distributed locks alone fail to guarantee idempotency in Spring Boot order APIs, and presents a three-layer solution combining Idempotency-Key with request fingerprinting, Redis SET NX for fast duplicate interception, and a database unique constraint as the ultimate safeguard against duplicate orders even after crashes or Redis failures.
This article analyzes MySQL Connector/J's timezone handling changes from 5.1 to 8.x, details the official bug #30962953 affecting versions 8.0.0-8.0.22, explains key parameters like serverTimezone and preserveInstants, and provides best practices for correct timestamp storage and retrieval.
This article explains how placing filter conditions in ON versus WHERE clauses affects MySQL JOIN results, demonstrating with concrete examples that INNER JOIN behaves equivalently while LEFT JOIN preserves driving table rows only when conditions are in ON, with SQL code and result comparisons.
This article details MySQL Connector/J's timezone handling bug in versions 8.0.0-8.0.22, explains key JDBC parameters like serverTimezone and preserveInstants, and provides best-practice configurations to avoid timestamp shifts and zero-date errors when upgrading from MySQL 5.1.
This article presents a rigorous, production-ready framework for MySQL index governance that moves beyond simplistic zero-usage checks, using performance_schema observation windows, structural gatekeeping, invisible index canary testing, and quantified rollback metrics to safely identify and remove redundant indexes without risking query regressions.
This article details a production-grade MySQL index governance system for high-concurrency e-commerce, covering evidence collection, invisible index validation, automated change gates, regression detection, and a case study reducing order-list P99 from 2.3s to 170ms while preventing unsafe deletions.
This article presents a comprehensive index governance methodology for high-write MySQL order systems, demonstrating through a real incident how a read-optimized index caused write latency, replica lag, and timeouts, and detailing a reusable process covering query-driven design, cost measurement, validation, change buffer limits, index convergence, safe deletion, read-write routing, sharding, transactional outbox, idempotent consumers, online DDL safeguards, gating, and long-term ownership.
This comprehensive guide covers MySQL and PostgreSQL monitoring essentials, including key metrics (connections, throughput, InnoDB, replication), version-specific differences, alert thresholds, exporter deployment (mysqld_exporter, postgres_exporter), Grafana dashboards, Prometheus alerting rules, troubleshooting playbooks for common issues like connection exhaustion, replication lag, deadlocks, and disk growth, plus automation scripts for long-transaction killing and slow-query analysis.
This article defines TPS versus QPS, illustrates a multi-SQL transaction example, and provides a concrete reference table mapping MySQL server configurations (4-core/8GB through 64-core+) to typical OLTP TPS ranges (1,000–50,000+), concluding with architectural guidance for scaling beyond 10,000 TPS.
This tutorial explains MySQL table joins—including inner, left, right, full outer, and exclusion joins—using Venn diagrams, sample tables, and SQL queries to illustrate each join type's result set.
This comprehensive guide covers the complete slow SQL troubleshooting lifecycle: enabling slow query logs, interpreting EXPLAIN plans, diagnosing nine common index failure patterns, resolving transaction lock contention, and applying architectural optimizations for large datasets, plus emergency mitigation and long-term governance practices.
This comprehensive guide covers HikariCP internals, core parameter tuning, connection leak detection, handling MySQL wait_timeout disconnections, preventing cascade failures, production-ready configuration examples, monitoring with Micrometer, and comparison with Druid for Spring Boot applications.
This article explains MySQL Group Replication (MGR), a native high-availability cluster based on Paxos consensus, covering its architecture, single-primary vs multi-primary modes, automatic failover, brain-split prevention via majority voting, production deployment rules, and common pitfalls to avoid for zero-data-loss transactional systems.
This article provides a comprehensive guide to MySQL's EXPLAIN command, detailing each column in the execution plan output with practical examples to help developers analyze and optimize SQL query performance.
This article details a full-stack crop disease detection system using YOLO26 for object detection, FastAPI for backend services, and Vue3 for the frontend, covering architecture, database design, API endpoints, business logic, and deployment configuration.
This comprehensive guide walks through the complete MySQL slow query troubleshooting loop: enabling slow query logs, analyzing with mysqldumpslow and pt-query-digest, using EXPLAIN to identify missing indexes or inefficient plans, designing composite indexes following leftmost prefix principles, validating in test environments, and safely deploying changes in production with rollback plans.
This article provides a comprehensive practical guide to MySQL master-slave replication, covering synchronization principles, three replication modes, delay causes and troubleshooting, read-write splitting implementation with common pitfalls, failover strategies, and five production pitfalls to avoid.
This tutorial demonstrates four methods for multi-table updates in MySQL—INNER JOIN, LEFT JOIN, subquery, and direct multi-table UPDATE—using order and product tables, showing how each handles non-matching rows differently with concrete SQL examples and result comparisons.
This comprehensive guide details building a production-grade database monitoring system using Prometheus and Grafana, covering SLI/SLO design, alerting strategies, architecture, metric selection, security, Prometheus configuration, Alertmanager routing, Grafana dashboards, scaling, incident response runbooks, anti-patterns, and operational processes to shift from reactive firefighting to proactive prevention.
This article explains how MySQL uses B+ tree indexes to accelerate queries, detailing their structure, differences from binary search trees, organization around 16KB pages, and why smaller index values reduce tree height and disk I/O for better performance.
This article explains how MySQL's MVCC mechanism uses version chains and ReadViews to enable lock-free snapshot reads, and why four isolation levels (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE) are still necessary: they define when ReadViews are created, controlling which version a transaction sees, while MVCC only handles reads—writes still require row locks.
This article outlines ten critical MySQL configuration parameters administrators should prioritize after installation, covering InnoDB buffer pool sizing, log file configuration, connection limits, flush methods, query cache disabling, binary logging, and DNS resolution skipping, with practical guidance on safe modification practices and version-specific considerations.
MySQL silently resolves missing column names in subqueries to outer scope columns, turning filters into correlated subqueries that always evaluate true, causing full-table updates or deletes without errors or warnings; no sql_mode prevents this behavior.
A production-grade MySQL backup guide analyzing a 3 AM replica crash, covering RPO/RTO design, logical vs physical backup trade-offs, XtraBackup streaming, PITR with binlog, automated restore drills, and a 3-2-1-1-0 resilience architecture.
This comprehensive guide explains MySQL transaction isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable) and lock mechanisms (table, row, gap, next-key locks), demonstrating how dirty reads, non-repeatable reads, and phantom reads occur, with practical deadlock prevention strategies and enterprise-level isolation level selection guidelines.
This comprehensive guide details nine essential MySQL DBA commands — SHOW DATABASES, SHOW TABLE STATUS, SHOW FULL PROCESSLIST, SHOW ENGINE INNODB STATUS, SHOW VARIABLES, SHOW STATUS, EXPLAIN, SHOW INDEX, and SHOW CREATE TABLE — with syntax examples, key output fields, and practical troubleshooting scenarios for performance tuning and database administration.
This article explains the 20-million-row rule of thumb for MySQL InnoDB tables by analyzing B+ tree index structure, 16KB page size, and fan-out calculations, showing how row size and tree depth affect query performance.
This article categorizes Elasticsearch data types into five groups, maps each MySQL type to its ES equivalent with practical notes, explains the critical text vs keyword distinction, covers dynamic mapping traps, and provides interview-ready mnemonics for type selection and concept translation.
This article details the engineering implementation and performance optimization of TCC distributed transactions in Go microservices, using an order placement scenario with inventory locking and wallet freezing, covering data models, idempotent state machines, recovery workers, hotspot optimization, and observability.
This comprehensive guide covers MySQL read-write separation from fundamentals to production implementation, including master-slave replication principles, replication lag causes and three enterprise-grade solutions, one-master-multi-slave architecture patterns, MHA automatic failover, Sharding-JDBC middleware configuration, and five critical production pitfalls to avoid.
The article examines a MySQL experiment where three transactions (A, B, C) interact on the same row, showing why transaction B’s UPDATE on a primary‑key field proceeds without waiting while transaction C’s UPDATE of the primary key blocks, due to the interplay of row‑level locks, gap locks, and the internal delete‑plus‑insert transformation of indexed updates.
This article demonstrates how to store four independent notification channel switches (SMS, email, in-app, WeChat) in a single MySQL TINYINT column using bitwise operations, covering schema design, SQL queries, Java enum and utility classes, service and controller layers, MyBatis mapper, extensibility to N channels, and key considerations like indexing, concurrency, and readability.
The article walks through a complete Spring Boot implementation of WeChat‑like message recall, explaining why a simple DELETE is insufficient and detailing how to use a status flag, conditional UPDATE, WebSocket, Redis/MQ, and multi‑device session management to synchronize recall across all clients, even under concurrency and offline scenarios.
This article introduces a production-ready Go Gin DDD scaffold featuring four-layer architecture, RocketMQ event-driven messaging, dual MySQL/PostgreSQL databases, unified responses, and step-by-step guides for setup and new module development.
This article explains what MySQL sharding and partitioning are, when they are necessary, outlines four splitting patterns, details four sharding key strategies, shows a production‑ready Sharding-JDBC configuration, and discusses five common distributed challenges with practical solutions.
The article examines a common duplicate‑order bug caused by client retries after network timeouts, explains why @Transactional alone cannot guarantee idempotency, critiques simple Redis SETNX solutions, and presents a robust Spring Boot design that stores idempotency records together with order data in a single MySQL transaction, uses request fingerprints, unique keys, and owner tokens to safely replay or reject retries while handling concurrency and cleanup.
This article details the architecture of an enterprise governance platform for Codex AI coding assistants, covering local encrypted collection with 90ms hooks, server-side parsing with tenant isolation, tiered content access (L0–L3) requiring multi-party approval, and operational use cases from deployment health monitoring to employee offboarding with zero-residue verification.
This article explains how MySQL's Repeatable Read isolation level prevents phantom reads by combining MVCC snapshot reads for consistent views and Next-Key Locks (record + gap locks) to block inserts during current reads like UPDATE, detailing the ReadView mechanism, version chains, and a concrete phantom read scenario.
This guide explains what the MySQL slow query log records, why it is essential for production, when and how to enable it temporarily or permanently, key parameters to tune, how to simulate slow queries, interpret log fields, use mysqldumpslow for aggregation, follow a step‑by‑step optimization pipeline, and avoid common pitfalls.
The article explains why ElasticSearch excels at full‑text search and analytics while MySQL remains the reliable storage engine, compares their underlying data structures, outlines real‑time write behavior, lists scenarios where ES should not be used, and describes a production double‑store architecture with asynchronous sync.
The article explains why a successful database transaction can leave an order incomplete when the accompanying Kafka message fails, examines the limitations of @Transactional, and demonstrates how Spring Modulith's Event Publication Registry and the Outbox pattern provide reliable, idempotent messaging solutions.
This article analyzes the performance bottleneck of LIMIT OFFSET deep pagination in MySQL with millions of rows, demonstrates EXPLAIN plan analysis, compares traditional pagination, subquery, covering index, and keyset pagination approaches, provides Spring Boot implementation examples for MyBatis-Plus and JPA, and benchmarks showing keyset pagination maintains constant response time regardless of page depth.
The article explains that MySQL’s EXPLAIN command acts as a SQL health check, detailing each of its 12 fields—especially type, key, rows, and Extra—while providing real‑world examples, a step‑by‑step diagnostic workflow, and common pitfalls to help developers reliably tune and troubleshoot queries.
MySQL-DTS unifies structure sync, full migration, and incremental replication in a single task for MySQL sources and MySQL/TiDB targets, featuring consistent snapshots, chunked parallelism, GTID/file+pos checkpoints, and built-in pt-osc/gh-ost compatibility for seamless online schema changes.
This article compares PostgreSQL and MySQL across complex query optimization, data types, MVCC implementation, transaction rollback capabilities, and cloud ecosystem support, explaining why PostgreSQL is increasingly preferred for complex analytics, vector search, and geospatial applications.
The article explains why MySQL back‑table lookups (回表) double I/O and degrade performance, defines covering indexes that retrieve all needed columns from a secondary index, shows how to identify back‑table cases via EXPLAIN, and provides step‑by‑step commands to create, test, and verify covering indexes for high‑frequency queries.
This article explains MySQL InnoDB's MVCC mechanism, detailing how snapshot reads and current reads work, the hidden fields that drive versioning, the Read View rules for RC and RR isolation levels, and provides hands‑on SQL demos plus common pitfalls to avoid.
When a query suddenly slows down tenfold, adding an index often fails to help; the real solution is to read and understand MySQL's execution plan, which reveals how the optimizer works, which indexes are used, and where performance bottlenecks lie, enabling systematic query tuning.
The article chronicles the twelve‑year evolution of China’s Database Technology Conference (DTCC), showing how it transformed isolated DBA communities into a collaborative ecosystem, introduced new topics such as cloud and NoSQL, and enabled figures like 那海蓝蓝 to shape the nation’s database engineering landscape.
The article explains why high‑traffic MySQL deployments hit performance limits, introduces the concepts of vertical and horizontal sharding, and provides a step‑by‑step guide—including necessity assessment, shard key selection, schema design, middleware integration, and data migration—using an e‑commerce order system as a concrete example.
MySQL master‑slave replication separates writes to the master and reads to one or more replicas, using binary logs to record changes; the article explains its core concepts, typical scenarios like read‑write splitting and high‑availability, and provides a step‑by‑step configuration guide covering server IDs, binlog settings, replication accounts, data initialization, GTID options, and status verification.
Understanding MySQL’s lock types—table, row, and gap locks—reveals how they act as resource tokens to ensure data consistency under concurrency, while the article details their characteristics, appropriate and prohibited use cases, common pitfalls like lock degradation and deadlocks, and provides hands‑on SQL examples to reproduce and avoid these issues.
This article presents a complete design for a 12‑state payment order state machine that handles high‑concurrency scenarios such as payment callbacks arriving after an order has been cancelled, using explicit state transitions, database CAS updates, Redis + DB idempotency, Outbox pattern and Kafka‑driven asynchronous processing to achieve reliable, auditable and compensatable order lifecycle management.
This article walks through a comprehensive case study of a provincial medical appointment platform, diagnosing slow‑query bottlenecks, proposing patient‑id + create_time composite indexes, designing read‑write separation with replication, selecting patient_id for horizontal sharding, and implementing cache‑aside strategies to ensure consistency while handling cache avalanche, penetration and thundering‑herd scenarios.
This guide walks through why MySQL master‑slave replication lag occurs, the key metrics to monitor, a step‑by‑step troubleshooting flow, ten typical root causes, concrete remediation actions, verification methods, rollback plans, and production‑grade best practices for keeping replication latency near zero.
This article explains why indexes speed up queries by reducing disk I/O, dives into MySQL's page structure and B+Tree evolution, compares clustered and secondary indexes, clarifies composite index rules, lists common index‑misuse scenarios, and provides seven practical guidelines for designing efficient MySQL indexes.
This article explains why MySQL deadlocks occur in production, distinguishes them from simple lock waits, and provides a step‑by‑step guide—including enabling deadlock logging, analyzing InnoDB lock types, and applying four practical solutions such as distributed locks, unique constraints, isolation‑level changes, and SQL reordering—to reliably troubleshoot and prevent deadlocks.
The article explains what a database transaction is, breaks down the ACID properties, details MySQL’s four isolation levels with their appropriate use‑cases and pitfalls, and provides step‑by‑step SQL and SpringBoot code to reproduce and resolve dirty reads, non‑repeatable reads, and phantom reads.
The article analyses lock contention caused by per‑request ID generation, derives a segment‑based solution that batches IDs using a configurable step, defines a left‑closed/right‑open interval schema in MySQL, and builds a double‑buffer Java issuer with asynchronous pre‑loading, thorough concurrency handling, testing, and configuration guidelines.
The article explains that whether adding an index locks a MySQL table depends on the version and DDL algorithm—MySQL 5.5 and earlier lock the whole table, 5.6‑5.7 use Online DDL with brief metadata locks, and 8.0+ can create secondary indexes instantly without locking, while primary, unique, and full‑text indexes always require locking.
This article analyzes why cache and database can become inconsistent, compares four basic cache‑update patterns, explains the delayed double‑delete technique, shows how to use MQ for retrying cache deletions, and evaluates Canal binlog subscription as a zero‑intrusion solution for strong eventual consistency.
This article investigates whether SELECT COUNT(*) forces a full table scan, explains MySQL's cost‑based index selection (IO and CPU components), demonstrates the optimizer's choices with real‑world examples, and shows how EXPLAIN and optimizer trace can reveal and improve query performance.
The article explains how to generate strictly sequential invoice numbers required by auditors by using a MySQL InnoDB watermark (water level) table combined with row locking and UPSERT within a single transaction, covering the workflow, concurrency handling, rollback versus void semantics, performance trade‑offs, and applicability limits.
Oracle’s 2026 layoffs hit the MySQL team, community contributions fell 44% since 2017, while PostgreSQL climbs, and SQLite—once dismissed as a toy—now powers billions of devices and edge‑computing platforms, boosted by projects like LibSQL, Turso, Cloudflare D1 and Litestream, offering latency advantages over traditional servers.
The article walks through a real‑world MySQL deadlock incident, shows how to extract the LATEST DETECTED DEADLOCK section from SHOW ENGINE INNODB STATUS, explains gap and next‑key locks, and presents a three‑step method plus practical fixes to eliminate the deadlock.
This article explains why MySQL discourages using NULL as a default column value, demonstrates how NULL affects indexing, comparisons, and aggregate functions, and shows through concrete examples that improper NULL handling can lead to unexpected query results and performance degradation.
The article explains what MySQL slow queries are, why they must be detected, when to enable slow‑query logging, step‑by‑step commands to configure the log, how to simulate and analyze problematic SQL with EXPLAIN, and practical optimization techniques—including index creation and Spring Boot integration—to eliminate performance bottlenecks.
This article demystifies databases by contrasting them with Excel, explains core concepts such as tables, rows, columns, primary and foreign keys, compares relational and NoSQL systems, introduces SQL CRUD operations, ACID properties, and provides a quick MySQL hands‑on guide, helping readers decide when to adopt a database.
Adding a column to a MySQL table with tens of millions of rows can lock the table for minutes or even hours, disrupting services, so this article evaluates six practical approaches—including native online DDL, offline maintenance, PT‑OSC, logical migration with dual‑write, gh‑ost, and partition sliding‑window—detailing their mechanisms, trade‑offs, and suitable scenarios.
The article explains that a shopping cart can tolerate loss of recent writes but not accumulated items, outlines the data model with seven fields and a unique key, compares client‑side storage options, details merge strategies for guest and logged‑in carts, and evaluates Redis, MySQL, and hybrid solutions with concrete trade‑offs.
This article explains MySQL indexes with a simple book‑catalog analogy, shows why missing or mis‑used indexes cause severe latency and CPU issues, outlines when to create or avoid indexes, and provides a step‑by‑step SpringBoot demo that measures query time dropping from 80‑200 ms to under 5 ms.
This guide walks MySQL operators through a complete slow‑query troubleshooting workflow—starting with enabling and analyzing the slow‑query log, using pt‑query‑digest and EXPLAIN to pinpoint index, SQL, schema, configuration or hardware bottlenecks, and then applying concrete optimizations such as proper indexing, cursor pagination, JOIN tuning, and server‑level parameter tweaks.
The article examines how to implement read/unread status for single and group chats at scale, comparing a simple last‑read‑ID approach for one‑on‑one conversations with database, Redis hash, and bitmap‑watermark solutions for groups, and discusses their performance and memory trade‑offs.
This article explains how MySQL deadlocks arise, details the four necessary conditions, compares lock types, shows how to enable detailed deadlock logging, query lock metadata, interpret logs, and provides practical code‑level and configuration strategies to prevent and resolve common deadlock scenarios in production environments.
A logistics company struggled with mismatched label fees, manual reconciliation errors, and monthly profit loss, so the team deployed an automated recharge, label import, one‑click deduction, and reconciliation system that eliminated leakage, cut reconciliation time, and provided real‑time balance visibility.
The article walks through a systematic MySQL 8.0 index‑optimization workflow—starting with diagnosing slow queries and lock waits, validating execution plans with EXPLAIN ANALYZE, safely adding or dropping indexes using online DDL, handling pagination patterns, and verifying improvements via comprehensive metrics before and after.
This article walks MySQL developers through the essential architectural, schema, data‑type, SQL‑dialect, transaction, vacuum, indexing, and extension differences when moving to PostgreSQL, providing concrete examples, code snippets, and best‑practice recommendations to avoid common pitfalls.
The article explains why placing column C immediately after the equality column A in a composite index (A, C, B) avoids filesort and keeps performance stable regardless of how many values appear in the B IN list, outperforming other index orders such as (A, B, C).
This guide walks through a systematic approach to uncovering and fixing MySQL slow queries, covering slow‑query‑log configuration, log analysis with mysqldumpslow and pt‑query‑digest, EXPLAIN‑based execution‑plan inspection, index design principles, SQL rewrites, configuration tuning, and ongoing monitoring to prevent performance regressions.
The article examines why the common update‑database, delete‑cache, add‑TTL workflow can still produce permanent stale data under high concurrency, explains the underlying race conditions, and compares several alternative strategies—including delete‑first, binlog‑driven invalidation, and lease‑based approaches—to help engineers choose the most reliable and low‑complexity solution for cache consistency.
To address MySQL master‑slave replication lag, the article explains enabling parallel replication (setting slave_parallel_workers), routing reads to the master for latency‑sensitive operations, and using a Redis short‑term marker to direct recent writes to the master, while outlining configuration steps and trade‑offs.
This article breaks down MySQL’s locking mechanisms—table, row, and gap locks—explaining their principles, performance trade‑offs, when they are triggered, how they relate to index usage, and provides practical deadlock avoidance techniques and a concise cheat‑sheet for common concurrency problems.
This article walks through a complete production‑grade view of MySQL 8.4 LTS, explaining how a chain of traffic spikes, connection‑pool exhaustion, long transactions and replication lag can cause an avalanche, and then detailing the five core modules, seven production mechanisms, architectural evolution steps, incident post‑mortems, and concrete configuration and code examples to build a resilient MySQL service.
This comprehensive guide walks MySQL administrators through the fundamentals of backup and recovery, covering RPO/RTO concepts, tool comparisons (mysqldump, mydumper, xtrabackup), step‑by‑step scripts for full, incremental, and binlog backups, encryption, compression, troubleshooting, and best‑practice monitoring to ensure data safety and rapid restoration.
When MySQL replication latency jumps from milliseconds to 10 seconds, blindly raising replica_parallel_workers won’t help; the article walks through diagnosing the delay, then applies three concrete parallel‑replication optimizations—enabling WRITESET on the source, configuring LOGICAL_CLOCK with appropriate applier workers, and optionally preserving commit order—while showing the required SQL commands, monitoring queries, and rollback steps.
