how to avoid inserting duplicate records in mysql using php

There are many ways to prevent MySQL from repeatedly inserting records, often ignore,replace,on DUPLICATE KEY UPDATE, which we can also judge in PHP. programme I: using the Ignore keyword If the uniqueness of the record is distinguished by the

Scenario One: Using the Ignore keyword If the uniqueness of the record is distinguished by the primary key primary or unique index unique, it is possible to avoid duplicate insertion records: The code is as follows: The code is as

This article describes in detail how to prevent repeated mysql insert records. if you are interested, you can refer to many methods to prevent repeated mysql insert records. ignore is commonly used, replace, on duplicate key update, of course we can

Thinkphp3.2 perfectly solves the problem of inserting the same data in thinkphp3.2. Problem description When using TP3.2 to insert data today, in order to avoid inserting the same data (the same data has the same primary key or the same unique index

Note: This is the code specification from the PHPCMS development document, although the development specification is called PHPCMS, but I think all PHP programming should be so. Write so much php, a lot of coding compared to this specification is a

Insert a non-repeated record to MySQL to search for related articles: not exists MySQL before, my general practice is to first use PHP to query whether there are records. If yes, no operation is performed, if the statement does not exist, insert the

1. The difference between double quotation marks and single quotation marks Double quote explanatory variable, single quote not explanatory variable Double quotation marks in single quotes, where there are variables in single quotes,

a and the optimization of table structure1 , standardization  Normalization is the process of organizing data in a database. This includes creating tables based on design rules and establishing relationships between them, and by eliminating

The following are some of the MySQL issues that are often encountered in interviews and studies. Example SQL statement optimization: 1) Try to avoid using the! = or <> operator in the WHERE clause, or discard the engine for a full table scan using