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This article mainly introduces "MySQL million-level data multi-table join query optimization record method". In daily operation, I believe that many people have doubts about the method of MySQL million-level data multi-table join query optimization record. The editor consulted all kinds of data and sorted out a simple and useful operation method. I hope it will be helpful to answer the doubt of "MySQL million-level data multi-table join query optimization record method"! Next, please follow the editor to study!

In the course of work, I encountered the data recorded by the intermediate table up to 300W +, the main table has 8W records, and the code table has 2W +. When debugging slow query, try single-column index, non-null value, join table mode, reduce the use of aggregate function and other methods, because there are too many records in the intermediate table, the effect is very little.

Finally, the problem of slow query is solved successfully by using the aggregate index, and the aggregate index is established on the intermediate table according to the order of on conditions, so as to minimize the filtered data set after the main table is connected to the intermediate table.

At this point, the study on "MySQL million-level data multi-table join query optimization record method" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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