![]() 9 PL/SQL Triggers. A trigger is like a. Example 9-22 shows the basic syntax for an INSTEAD OF CREATE trigger on. do not create an AFTER UPDATE trigger that.Working With Triggers. Overview. Triggers are a specialized type of stored procedure that can be written to act on a table action such as an INSERT, UPDATE, or DELETE. If overused, they can potentially lead to performance issues such as blocking and, if they're not written correctly, you could be losing data. Explanation. Triggers are commonly used to perform auditing actions, to maintain table integrity in place of native constraints such as foreign keys and check constraints, and to perform other post DML processing. Triggers operate under the scope of a transaction so if a table were updated, for instance, the update would occur and the trigger would fire. While the trigger is at work, the transaction would not be committed until the trigger completed (or rolled back in the case of failure). If a lot of processing is being done in the trigger, locks will be held until the trigger completes.
Syntax 1 CREATE TRIGGER. The RESOLVE trigger type is for use with SQL Remote: it fires before row-level UPDATE or. The CREATE TRIGGER statement. This is an important point to note: Triggers extend the life of a transaction. Also, due to their stealthiness, they can make troubleshooting data issues difficult and tedious. The use of triggers to accomplish common integrity checking is probably not a good idea since they do extend transaction life. Moreover, if there is an integrity violation, a ROLLBACK on any modified data will have to occur which can potentially cause a performance bottleneck as the application waits for the rollback to complete. In contrast, native constraints do their checks prior to any modification and, as a result, do not cause a ROLLBACK to occur if a violation occurs. When triggers fire, there are virtual tables that hold the values of the data before and after the modification. These tables are called inserted and deleted. When accessing these virtual tables within trigger code, you should work on their data as a set. One common mistake I see over and over and over in trigger code: a trigger is written with the assumption it will always work on a single row at a time. This is not the case. In this code sample, a multi row update is performed but the trigger is written so it expects a single row update. NULL. insert into t. NULL. insert into t. NULL. create trigger update_t. Examining the data, we see that the trigger does not correctly work on all the updated rows. You may thinking to yourself, "That's ok, we only update 1 row at time in our application, anyway". What if data requires manual update via the Management Studio, a patch script, or a conversion script? This lurking flaw may render the data inconsistent. Write all your triggers with the assumption that more than 1 row will be affected as in the following trigger re- write. I tend to minimize the use of triggers to very specific tasks since troubleshooting data issues can be extremely painful to perform with too many of them in place. Additional Information.
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