Understanding innodb_ft_num_word_optimize for MySQL Tuning

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Understanding innodb_ft_num_word_optimize for MySQL Tuning
The innodb_ft_num_word_optimize
variable in MySQL's InnoDB storage engine optimizes full-text search (FTS) performance for numeric data embedded in text. By treating consecutive digits as single tokens, it reduces index size, speeds up searches, and improves efficiency. This is particularly useful for alphanumeric fields like product codes or serial numbers.
Key Benefits
- Reduced Index Size: Aggregates numeric digits into single tokens, lowering storage and memory usage.
- Faster Search Times: Smaller indexes allow quicker data retrieval.
- Better Numeric Query Performance: Enhances search results for numeric terms.
Considerations
- Rebuild Required: Changing the setting demands a full-text index rebuild, which can be resource-intensive.
- Relevance Ranking: May affect search result rankings; thorough testing is needed.
- Binary Data: Not suitable for non-text data.
Implementation Steps
- Enable the variable:
SET GLOBAL innodb_ft_num_word_optimize = ON;
- Rebuild the full-text index:
ALTER TABLE your_table DROP INDEX your_index_name; ALTER TABLE your_table ADD FULLTEXT INDEX your_index_name (column1, column2, ...);
- Test queries to verify performance and relevance.
Conclusion
Enabling innodb_ft_num_word_optimize
improves FTS performance for numeric-heavy data, but requires careful planning and testing. Monitor performance post-implementation to ensure optimal results.
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