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  • MySQL Trigger
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A trigger is a database event that is executed automatically by MySQL whenever data manipulation language (DML) operations are executed on one or more tables. Triggers can be used to enforce referential integrity, maintain data integrity, and implement security policies. It's important to understand that there are two types of triggers: INSERT and UPDATE. A trigger is called an INSERT trigger when it executes as a result of an INSERT statement or SELECT . It's called an UPDATE trigger when it executes as a result of an UPDATE statement or SELECT . For example, if you have a table with columns id and name , then the following script will create a trigger which will update the value in column name with the value in column id : CREATE TRIGGER update_name_by

In the table, you can see that triggers are 35% faster than the OUTPUT clause. With OUTPUT, you have more control on the code, because you can extract the inserted and deleted rows in a specific stored procedure whenever you want. The problem with triggers is that they are executed even if you do not want them to

MySQL is an open-source database management system. It is widely used by many businesses and organizations that need a database for their applications. MySQL has certain limitations that are not appealing for all types of applications. One of these limitations is the fact that it does not support transactions, which is not the case with most other DBMSs. Some other limitations are related to the lack of indexing capabilities, which can be resolved in MySQL but at a cost. MySQL is a powerful open-source database management system (DBMS) and can be used for many use cases. But as it's an open-source software, it does come with some limitations. Here are some of the limitations of MySQL: 1. Price: MySQL is free to use, but there are other charges associated with maintaining the server and other resources required to run MySQL. There can also be charges for paid support and additional modules that you might need for your application. 2. Performance: While MySQL is fast enough for most applications, there can be performance issues if you're not careful about how much data you load into the system and how often you update records in the database. There's also a limitation on how many concurrent connections you can have to a single instance

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