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  1. Use EXPLAIN and read the results to find out when MySQL uses your indices. If a table has six columns and all of them are searchable, should i index all of them or none of them? Indexing all six columns isn't always the best practice.

  2. 23 wrz 2024 · Analyze index usage: MySQL tools like EXPLAIN and other utilities help you identify which indexes are being used, how often they are accessed, and their effectiveness. By analyzing this information, you can locate redundant, unused, or inefficient indexes and make informed decisions about index maintenance, such as dropping or rebuilding ...

  3. Indexes in the MEMORY Storage Engine. Index Prefixes. With col_name ( N) syntax in an index specification for a string column, you can create an index that uses only the first N characters of the column. Indexing only a prefix of column values in this way can make the index file much smaller.

  4. MySQL can use indexes on columns more efficiently if they are declared as the same type and size. In this context, VARCHAR and CHAR are considered the same if they are declared as the same size. For example, VARCHAR (10) and CHAR (10) are the same size, but VARCHAR (10) and CHAR (15) are not.

  5. 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.

  6. Spatial indices allow you to query with inequalities on multiple columns efficiently. E.g., with a spatial index you would be able to efficiently query all points that are inside a rectangle such as: create table t(id integer primary key, x integer, y integer) select * from mytable where x >= 1 and x < 10 and y >= 2 and y < 20

  7. 17 cze 2024 · Choose Appropriate Index Columns: Select the columns for the indexing based on their usage in the WHERE, ORDER BY, and JOIN clauses of queries. Columns frequently used in search conditions or for sorting should be prioritized for indexing to accelerate data retrieval.

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