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v_WorkID v_ArtistID v_SalesPrice v_testSalesPrice
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Work.WorkID%TYPE; Artist.ArtistID%TYPE; Transaction.SalesPrice%TYPE; Transaction.SalesPrice%TYPE;
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CURSOR TransactionCursor IS SELECT SalesPrice FROM Transaction WHERE WorkID = v_WorkID FOR UPDATE OF SalesPrice, CustomerID, PurchaseDate; BEGIN /* Selecting and then looking for NULL does not work because finding no qualifying records results in Oracle throwing a NO_DATA_FOUND exception. So, be ready to catch the exception by creating an 'anonymous block' with its own EXCEPTION clause. */ BEGIN SELECT CustomerID INTO v_CustomerID FROM Art_Customer WHERE Art_Customer.Name = v_CustomerName; EXCEPTION WHEN NO_DATA_FOUND THEN SELECT CustomerSeq.nextval into v_CustomerID from Dual; INSERT INTO Art_Customer (CustomerID, Name) VALUES ( v_CustomerID, v_CustomerName ); END; SELECT ArtistID into v_ArtistID FROM Artist WHERE Artist.Name = v_Artist; SELECT WorkID INTO v_WorkID FROM Work WHERE Work.Title = v_Title AND Work.Copy = v_Copy AND Work.ArtistID = v_ArtistID; --We need to use a cursor here, because a work can re-enter the -- gallery, resulting in multiple records for a given WorkID. --Look for a Transaction record with a null for SalesPrice: v_TransactionFound:= FALSE; FOR Trans_record in TransactionCursor LOOP IF( Trans_Record.SalesPrice is null) THEN v_TransactionFound:= TRUE; UPDATE Transaction SET SalesPrice = v_Price, CustomerID = v_CustomerID, PurchaseDate = SYSDATE WHERE CURRENT OF TransactionCursor; END IF;
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EXIT WHEN v_TransactionFound; END LOOP; IF( v_TransactionFound = FALSE ) THEN v_Return:= 'No valid Transaction record exists.'; ROLLBACK; RETURN; END IF; COMMIT; v_Return:= 'success'; EXCEPTION WHEN NO_DATA_FOUND THEN v_Return:= 'Exception: No data found'; ROLLBACK; WHEN TOO_MANY_ROWS THEN v_Return:= 'Exception: Too many rows found'; ROLLBACK; WHEN OTHERS THEN v_Return:= ( 'Exception: ' || SQLERRM ); ROLLBACK; END; You probably recognize some SQL statements in this procedure, and you also see statements that are nothing like the SQL discussed in this chapter. PL/SQL is a much more complex language than SQL. Other vendors have their own equivalent procedural language extensions to SQL, too. In the case of Microsoft, for example, the language is called Transact-SQL. We will show an example of Transact-SQL in the next section about triggers. TRIGGERS A trigger is a special type of stored procedure that gets executed when some data condition changes in the database. Triggers are used to enforce rules in the database. For instance, suppose that room numbers for different dormitories have different domains. That is, the room numbers for one dorm use two digits, for another dorm use three, and for another use four. Validating all room numbers automatically would be impossible with standard CHECK constraints, because CHECK constraints do not support such complex logic. However, a trigger could be written to provide for any level of complexity. Unlike stored procedures that are executed when called by a user or a program, triggers are executed when an INSERT, UPDATE, or DELETE statement makes a change to a table. Triggers can be written to fire BEFORE, AFTER, or INSTEAD OF the INSERT, UPDATE, or DELETE. Here is an example AFTER trigger written in Microsoft Transact-SQL. Whenever a row is inserted in the Student table, and whenever a row in the Student table is updated, then this code executes after the change has been made to the Student table. The data change triggers the code. Again, we provide this code as a realistic example only, and we will not explain the syntax in any detail. CREATE TRIGGER RoomCheck ON Student FOR INSERT, UPDATE AS declare @Dorm varchar(20) declare @Room int IF UPDATE (Room)
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Select @Dorm = Dorm from inserted Select @Room = Room from inserted IF @Dorm = 'Williams' and (@Room > 999 or @Room < 100) BEGIN PRINT 'Williams dorm has 3 digit room numbers.' ROLLBACK TRAN RETURN END IF @Dorm = 'Appleby' and (@Room > 9999 or @Room < 1000) BEGIN PRINT 'Appleby dorm has 4 digit room numbers.' ROLLBACK TRAN RETURN END IF @Dorm = 'Arpers' and (@Room > 99 or @Room < 10) BEGIN PRINT 'Arpers dorm has 2 digit room numbers.' ROLLBACK TRAN RETURN END Once again, you see some phrases that look like standard SQL, and you also see many constructs that are not SQL-like at all. One must learn another programming language to take advantage of stored procedures and triggers. Nevertheless, most production databases make use of triggers to enforce data and business rules automatically and efficiently. DATA INTEGRITY Database systems provide tools for helping to maintain the integrity of the data. An important set of base rules for insuring good and consistent data in the database is called referential integrity constraints. The built-in rules for enforcing referential integrity are these: 1 2 3 4 5 6 Inserting a new row into a parent table is always allowed. Inserting a new row into a child table is allowed only if the foreign key value exists in the parent table. Deleting a row from a parent table is permitted only if there are no child rows. Deleting a row from a child table is always allowed. Updating the primary key in the parent table is permitted only if there are no child rows. Updating the foreign key in a child row is allowed only if the new value also exists in the parent table.
As a database designer, one can count on the DBMS to enforce these basic constraints that are essential if relationships between entities are to be maintained satisfactorily. Many times additional constraints must be maintained in order to satisfy the business rules that must be enforced by the database. For instance, it is sometimes true that business rules require at least one child row when a parent row is first inserted. Suppose that one is running a database for a sailing regatta. Each boat has a skipper and crew, and the relationship between boat and crew is 1:N (1 boat:many crew). The boat is the parent row to the crew child rows. A data rule could be that a boat may not be added to the database unless at least one sailor immediately is registered as crew (after all, there s no need to store information about boats that aren t racing). Such a constraint would not be naturally enforced by any of the default referential integrity constraints, but one could create a trigger that would automatically prompt for and add a sailor s name when a new boat is inserted. This would be an additional and custom referential integrity constraint. Another key facility offered by a DBMS to support data integrity is the transaction. A transaction is a mechanism for grouping related changes to the database for those occasions when it s important that either all changes occur, or that nothing at all changes.
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