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During the analysis, the table is locked with a read lock for InnoDB and MyISAM. ANALYZE TABLE removes the table from the table definition cache, which requires a flush lock.
Other Considerations. OPTIMIZE TABLE is performed online for regular and partitioned InnoDB tables. Otherwise, MySQL locks the table during the time OPTIMIZE TABLE is running.
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.
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.
Yes you can. It will lock the table you're adding an index to while it's being created. If the table is large, it may take a while as it has to read each row while building the index.
Normalize Tables. First, normalize all database tables even if it will involve some trade-offs. Use Optimal Data Types. Avoid Null Values. Avoid Too Many Columns. Optimize Joins. Setting the MySQL Server Query Cache.
ANALYZE TABLE. The first way the Analysis command is used is to analyze a table. When joining two or more tables, the optimizer will attempt to use the table with the fewest number of rows or blocks as the driving table. This should reduce the total amount of disk I/O necessary, and thus improve performance.
ANALYZE TABLE causes Oracle to determine how many rows are in the table and how storage is allocated. It also calculates the number of chained rows. The most important pieces of information the optimizer gets from this process are the number of rows and the number of blocks.
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