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Programming Access We have presented SQL in the preceding sections as seen by a user executing on-line requests If more general computations are needed than single SQL commands conveniently provide, or if there is a large volume of updates, then access by a program is needed A type of computation not possible within the relational calculus is a transitive search through an undetermined number of relations An example of such a query is "Find the top-level manager for an employee" Here the iteration of joins of the attributes Employeename and Employeemanager terminates only when Employeemanager = null Five steps provide programmed access to relational calculus operations: 1 Variables to match the attributes used are declared in the programs 2 SQL SELECT commands, augmented with INTO variable clauses, are inserted into the program 3 A cursor is declared for every SELECT which might retrieve more than one row 4 A parameter area is de ned to receive condition and error codes; we encountered such areas with VSAM programming in Sec 4-3-5 5 The program is completed with computational and control statements A user program containing SQL declarations and INTO commands is processed through a preprocessor, which translates them into CALL statements to SQL routines kept on a library and declarations acceptable to the host language, similar to the sequence shown in Fig 8-12 After compilation and loading, the programs can be executed and access the SQL database The programs in the SQL/DS library are associated with the version and status of the database A program which tries to access a database whose access structure is changed, will be automatically recompiled Since these programs are independent of access paths, no programmer intervention is needed The cursor used to identify individual rows from a SELECT table is manipulated by OPEN, FETCH, DELETE, UPDATE, and CLOSE commands Cursors perform functions similar to tuple variables on the result table of the SELECT commands in the programs The OPEN statement initializes the execution of the SELECT command and identi es a cursor A subsequent FETCH retrieves one row as speci ed, places the values into the designated variables, and sets the cursor If no row is fetched a condition code is set; otherwise another FETCH can be executed to attempt to retrieve data from a row not yet fetched via the cursor DELETE and UPDATE commands can use the same cursor in a WHERE clause The CLOSE command makes the cursor unavailable.

Now you ll need two buttons: btnSubmit, and btnClear. Set the Text properties for each of these as you see in the figure. We ll come back to the event handlers in a minute. The last control you need is a Label to show the output. Place it below the buttons, call it lblResult, and delete its Text property for the moment. Now you need event handlers for the two buttons. The handler for btnClear is simple. You just want to clear the TextBox, so simply call txtAmount.Clear( ). The handler for btnSubmit is where you ll do the work. The only tricky bit here is that the text entered in txtAmount is a string, so you ll need to convert it to a double if you want to work with it. Fortunately, Convert.ToDouble( ) works just fine there. The numericUpDown control doesn t have a Text property because it can hold only numeric values, it has a Value property instead. The first thing to do is calculate the amount of the tax:

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Sec 9-2

double tax = Convert.ToDouble(txtAmount.Text) * (Convert.ToDouble(nudTax.Value) * 0.01);

9-2-5 Extensions of the Relational Calculus We will present two facilities which can improve the usability of these systems Workspaces provide the capability to use temporary relations for intermediate results and integrity assertion statements permit the de nition of constraints

Then add the tax to the amount:

An index is said to be dense if it contains (at least) one data entry for every search key value that appears in a record in the indexed le3 A sparse index contains one entry for each page of records in the data le Alternative (1) for data entries always leads to a dense index Alternative (2) can be used to build either dense or sparse indexes Alternative (3) is typically only used to build a dense index We illustrate sparse and dense indexes in Figure 85 A data le of records with three elds (name, age, and sal) is shown with two simple indexes on it, both of which use Alternative (2) for data entry format The rst index is a sparse, clustered index on name Notice how the order of data entries in the index corresponds to the order of

A user of the relational calculus may nd it easier to de ne intermediate relations using simple statements, and then de ne further conditions on relations previously de ned In order to allow manipulations to be speci ed as a number of steps, systems which support the relational calculus as a user language provide for the de nition of intermediate relations These relations are kept in workspaces Workspaces have the following features:

double total = Convert.ToDouble(txtAmount.Text) + tax;

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