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MySQL uses the stored key distribution to decide the table join order for joins on something other than a constant. ... In particular, if the innodb_stats_persistent system variable is enabled, you must run ANALYZE TABLE after loading substantial data into an InnoDB table, or creating a new index for one.
The EXPLAIN keyword is used throughout various SQL databases and provides information about how your SQL database executes a query. In MySQL, EXPLAIN can be used in front of a query beginning with SELECT, INSERT, DELETE, REPLACE, and UPDATE.
According to MySQL website, the key_len column indicates the length of the key that MySQL decided to use. The length is NULL if the key column says NULL. Note that the value of key_len enables you to determine how many parts of a multiple-part key MySQL actually uses.
In MySQL, the DESCRIBE and EXPLAIN statements are synonyms, used either to obtain information about table structure or query execution plans.
As described here in the MySQL docs: The filtered column indicates an estimated percentage of table rows that will be filtered by the table condition. That is, rows shows the estimated number of rows examined and rows × filtered / 100 shows the number of rows that will be joined with previous tables.
A query is a request for data or information from a database table or combination of tables. This data may be generated as results returned by Structured Query Language (SQL) or as pictorials, graphs or complex results, e.g., trend analyzes from data-mining tools.
OPTIMIZE TABLE reorganizes the physical storage of table data and associated index data, to reduce storage space and improve I/O efficiency when accessing the table. ... After doing substantial insert, update, or delete operations on columns that are part of a FULLEST index in an InnoDB table.
MySQL optimization using indexes. A database index is a data structure that improves the speed of operations in a table. Every time your web application runs a database query, the database will look through all the rows in your table to find those that match your request.
Optimizing table straight away takes over 3 hours, while dropping indexes besides primary key, optimizing table and adding them back takes about 10 minutes, which is closer than 20x speed difference and more compact index in the end.
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