DROP Trigger - (Oracle Advance)

The DROP TRIGGER statement in Oracle is used to remove a trigger that was previously created using the CREATE TRIGGER statement. It is important to note that dropping a trigger will also remove all of its dependencies.

Syntax

The syntax for dropping a trigger in Oracle is as follows:

DROP TRIGGER [schema name.] trigger name;

Here, schema name is the name of the schema that contains the trigger, and trigger name is the name of the trigger that you want to drop.

Example

Here is an example of the DROP TRIGGER statement in Oracle:

DROP TRIGGER my_trigger;

Output

The DROP TRIGGER statement will result in the trigger being removed from the schema in which it was created.

Explanation

In the above example, we have a trigger called my_trigger that we want to remove. We can do this by using the DROP TRIGGER statement followed by the name of the trigger. The trigger will be removed from the schema, and all of its dependencies will be removed as well.

Use

The DROP TRIGGER statement is useful when you no longer need a trigger and want to remove it from your schema. It ensures that the trigger and all of its dependencies are removed permanently, which can help to improve database performance and reduce clutter in your schema.

Important Points

• The DROP TRIGGER statement is used to remove a trigger that was previously created using the CREATE TRIGGER statement.
• Dropping a trigger will also remove all of its dependencies.
• The syntax for dropping a trigger is DROP TRIGGER [schema name.] trigger name;.
• The DROP TRIGGER statement is useful when you no longer need a trigger and want to remove it from your schema.

Summary

In summary, the DROP TRIGGER statement in Oracle is a useful command for removing a trigger that was previously created using the CREATE TRIGGER statement. It is important to note that dropping a trigger will also remove all of its dependencies. The syntax for dropping a trigger is DROP TRIGGER [schema name.] trigger name;. Dropping a trigger helps to keep your schema clean and can improve database performance.