MARIADB: THE COMPLETE GUIDE TO OPEN-SOURCE RELATIONAL DATABASE MANAGEMENT: SQL Queries, Replication, Clustering, and Multi-Storage Engine Architecture for Web and Enterprise Applications
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Description
Build and run MariaDB with the confidence to ship real applications and operate them in production.
MariaDB can feel straightforward until performance issues, locking, replication lag, failovers, or clustering edge cases show up at the same time. Many guides stop at syntax, leaving you to connect the dots when reliability and uptime matter.
This book takes you from solid SQL fundamentals to the operational skills that keep systems stable, covering query design, indexing, transactions, multi storage engines, replication, Galera clustering, MaxScale routing, backups, and security practices you can apply in real environments.
install and configure MariaDB with secure defaults, roles, and tls connectivity design schemas with practical data types, collations, constraints, and generated columns write scalable queries with joins, aggregations, ctes, window functions, views, and json functions build an indexing strategy and read execution plans using explain and analyze format json troubleshoot slow queries with performance schema, slow query logs, and a repeatable triage workflow understand transactions, isolation levels, lock waits, and deadlocks in production scenarios choose and migrate between storage engines including innodb, aria myisam, myrocks, connect, and columnstore run backups and restores with mariadb backup, incremental chains, and point in time recovery with binary logs set up and operate replication with gtid, monitoring, and high availability switchover patterns operate galera clusters with quorum, state transfers, flow control tuning, and safe recovery steps use maxscale for read write split, failover aware routing, and binlogrouter fan out scenarios apply enterprise security practices including authentication options, encryption at rest, and system versioned tables for auditing This is a code heavy guide, with working sql, shell, and configuration examples you can adapt to your own servers and deployment workflows.
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