Final answer:
If the number of records in the DML operation exceeds the trigger's limit, it can cause performance issues and errors. Developers can optimize triggers to handle multiple records efficiently.
Step-by-step explanation:
If the number of records in the DML (Data Manipulation Language) operation exceeds the maximum number of records that a trigger can process at one time, it can lead to performance issues and potential errors. The trigger may not be able to handle such a large number of records efficiently, causing delays or failures in the operation.
For example, imagine a trigger that is designed to perform a certain action on each record that is inserted into a database table. If the DML operation involves inserting thousands of records in a single statement, and the trigger can only process a limited number of records at a time, the trigger may not execute for all the records and may stop processing after reaching its limit.
To avoid this situation, developers can optimize their code by bulkifying the triggers. This involves designing the trigger in such a way that it can handle multiple records efficiently, rather than processing them one at a time. By doing so, the trigger can handle a larger number of records in a single DML operation.