Inside MySQL: How Its Architecture Handles Connections, Queries, and Storage
This article explains MySQL’s internal architecture, covering the client connector, connection management, SQL processing layers—including parsing, optimization, and caching—and the pluggable storage engine, as well as system management tools such as backup, recovery, security, and replication.
Client Connector
MySQL provides client connectors for external programs such as PHP, Java, .NET, and Ruby.
Connection Management
This layer handles operations related to client connections, including connection pooling, permission verification, thread reuse, and connection limits.
SQL Layer
SQL Interface
Receives SQL commands from clients and returns the results.
SQL Parser
The parser validates and parses incoming SQL commands, converting them into an abstract syntax tree (analysis tree) that is passed to subsequent stages. If parsing errors occur, an error message is returned.
SQL Optimizer
The optimizer refines the analysis tree by rewriting queries, choosing table read order, and selecting appropriate indexes. It obtains parameters, operation costs, and statistics from the storage engine to guide optimization.
SQL Cache
Before parsing, the server checks the query cache, which stores SELECT statements and their result sets. If a result is cached, the server skips parsing, optimization, and execution, returning the cached result directly.
Storage Engine Layer
The storage engine is the MySQL subsystem that interacts with files. MySQL’s storage engines are plug‑in based, allowing the storage engine layer and SQL layer to remain loosely coupled and even enabling online loading of new storage engines without restarting MySQL.
System Management
Provides overall system management services and tools, such as backup, recovery, security, master‑slave replication, and configuration.
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