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This article mainly introduces "how to achieve efficient fuzzy query in Mysql". In daily operation, I believe that many people have doubts about how to achieve efficient fuzzy query in Mysql. The editor has consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts about "how to achieve efficient fuzzy query in Mysql". Next, please follow the editor to study!

When developing database applications, we often need to use fuzzy queries. What if the same condition needs to match many fields? Typically, programmers will "field like'% cond%'" each field in the SQL once. In this way, SQL statements grow amazingly, encounter more complex ones, and even SQL statements are rejected by the database because they are too long.

In fact, this problem can be easily solved by using your head:

First, join the fields that match the same criteria (field1+field2+...) Make it a long string; then Like "% cond%".

The problem with this approach, however, is that it has to weigh the inefficiency caused by multi-table joins. Generally speaking, the fields in a single table should be connected before unifying the like judgment, while the fields between tables need to be filtered before this strategy is implemented.

Adopting this strategy can not only shorten the SQL, but also effectively improve the execution efficiency of SQL.

At this point, the study on "how to achieve efficient fuzzy query in Mysql" 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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