DML error logging is a feature in Oracle that allows you to continue processing DML statements even if errors occur. This can be useful for processing large datasets, where you don't want to stop the entire process because of a few errors.
How to Handle Exceptions in INSERT/UPDATE/DELETE/MERGE Statements
To handle exceptions in INSERT/UPDATE/DELETE/MERGE statements, you can use the LOG ERRORS clause. This clause allows you to specify a table where the errors will be logged.
The syntax for the LOG ERRORS clause is as follows:
LOG ERRORS [INTO [SCHEMA.]TABLE] [('SIMPLE_EXPRESSION')] [REJECT LIMIT INTEGER|UNLIMITED]
- INTO [SCHEMA.]TABLE: This clause is optional and allows you to specify the name of the error logging table. If you omit this clause, the first 25 characters of the base table name are used along with the "ERR$_" prefix.
- ('SIMPLE_EXPRESSION'): This clause is also optional and allows you to specify a tag that makes the errors easier to identify. This might be a string or any function whose result is converted to a string.
- REJECT LIMIT INTEGER|UNLIMITED: This clause is optional and allows you to specify the maximum number of errors before the statement fails. The default value is 0 and the maximum values is the keyword UNLIMITED. For parallel DML operations, the reject limit is applied to each parallel server.
Example
The following example shows how to use the LOG ERRORS clause to handle exceptions in an INSERT statement:
INSERT INTO DEST
SELECT * FROM SOURCE
LOG ERRORS INTO ERR$_DEST ('INSERT') REJECT LIMIT UNLIMITED;
This statement will insert all of the rows from the SOURCE table into the DEST table, even if errors occur. The errors will be logged in the ERR$_DEST table.
Conclusion
DML error logging is a powerful feature that can help you to handle exceptions in DML statements. By using the LOG ERRORS clause, you can continue processing large datasets even if a few errors occur.
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