Lesson 27 of the SQL Optimization Course: Monitoring MySQL Full-Text Indexes

For relational databases, the design of tables and SQL is written are particularly crucial. It wouldn’t be an exaggeration to say that they account for 90% of performance. So this time, specifically targeting these two major knowledge areas, we’ll conduct a detailed analysis for you, peeling back the layers.
This Series uses plain and understandable language and selects a large number of examples to elaborate on the subtleties for you.
🧑💻 Target audience:
We will use MySQL as the demonstration database.
MySQL provides configurable parameters to monitor full-text indexes:
database/table
).Example Configuration:
|
|
MySQL uses specialized system tables to track full-text operations:
Table Name | Purpose |
---|---|
INNODB_FT_CONFIG | Stores configuration metadata (e.g., synced_doc_id ). |
INNODB_FT_INDEX_TABLE | Contains inverted index data. |
INNODB_FT_INDEX_CACHE | Buffers newly inserted keywords before merging with disk tables. |
INNODB_FT_DELETED | Tracks deleted documents pending cleanup via OPTIMIZE TABLE . |
INNODB_FT_BEING_DELETED | Snapshot of INNODB_FT_DELETED during optimization. |
Key Insight:
|
|
|
|
|
|
|
|
|
|
|
|
👋 See you in the next lesson.
SQLFlash is your AI-powered SQL Optimization Partner.
Based on AI models, we accurately identify SQL performance bottlenecks and optimize query performance, freeing you from the cumbersome SQL tuning process so you can fully focus on developing and implementing business logic.
Join us and experience the power of SQLFlash today!.