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  1. In general, indices help speedup database search, having the disadvantage of using extra disk space and slowing INSERT / UPDATE / DELETE queries. Use EXPLAIN and read the results to find out when MySQL uses your indices.

  2. Exceptions: Indexes on spatial data types use R-trees; MEMORY tables also support hash indexes; InnoDB uses inverted lists for FULLTEXT indexes. In general, indexes are used as described in the following discussion. Characteristics specific to hash indexes (as used in MEMORY tables) are described in Section 10.3.9, “Comparison of B-Tree and ...

  3. 23 wrz 2024 · Optimize your MySQL database with our comprehensive guide on MySQL Indexes, covering types, benefits, and effective indexing strategies for better performance.

  4. If you are using InnoDB tables, you can get the size for data/individual indexes from mysql.innodb_index_stats. The 'size' stat contains the answer, in pages, so you have to multiply it by the page-size, that is 16K by default.

  5. 4 sty 2023 · An index in the database engine serves a similar purpose to a phone book, keeping the alphabetically ordered references to the data and thus helping the database to find the required rows quickly. Using indexes in MySQL has multiple benefits.

  6. 26 lip 2024 · MySQL indexes are data structures that speed up the retrieval of rows from a database table by allowing MySQL to quickly locate the data without scanning the entire table. How many indexes are there in MySQL?

  7. 17 gru 2014 · If you are using InnoDB tables, you can get the size for individual indexes from mysql.innodb_index_stats. The 'size' stat contains the answer, in pages, so you have to multiply it by the page-size, which is 16K by default.

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