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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.
23 wrz 2024 · By creating an index on one or more columns, MySQL can quickly locate the relevant rows, significantly reducing the amount of data that needs to be scanned. However, while MySQL indexes offer substantial performance benefits, it’s important to balance their advantages with the overhead associated with index maintenance.
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.
4 sty 2023 · Using indexes in MySQL has multiple benefits. The most common are speeding up WHERE conditional queries (with exact match conditions and comparisons), sorting data with ORDER BY clauses more quickly, and enforcing value uniqueness. However, using indexes may degrade peak database performance in some circumstances.
17 cze 2024 · Monitor Index Usage and Performance: Regularly monitor the usage and performance of indexes using MySQL’s built-in monitoring tools such as the Performance Schema and the slow query log. Identify underutilized indexes , unused indexes , and indexes causing performance bottlenecks.
MySQL uses indexes to rapidly locate rows with specific column values. Without an index, MySQL must scan the entire table to find the relevant rows. The larger the table, the slower the search becomes.
