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/* Open cursor and fetch first row of results */ open o_curs fetch o_curs into @ord_amt, @c_name, @r_name /* If no rows, return immediately */ if (@@sqlstatus = 2) begin close o_curs return end /* Loop through each row of query results */ while (@@sqlstatus = 0) begin /* Check for small orders and handle */ if (@ord_amt < 1000.00) insert into smallorders values (@r_name, @ord_amt)

Data De nition Language (DDL) includes SQL statements that allow the database user to create and modify the structure of database objects, such as tables, views, and indexes. SQL statements that use the commands CREATE, ALTER, and DROP are considered part of DDL. It is important to understand that DDL statements affect the containers that hold the data in the database rather than the data itself. So there are DDL statements to create, drop, and alter tables, but none of these statements provide the ability to create or modify rows of data in those tables. DDL statements are presented in 3.

Figure 20-15.

/* Check for big orders and handle */ else if (curs_row.amount > 10000.00) insert into bigorders values (@c_name, @ord_amt) end /* Done with results; close cursor and return */ close o_curs end

Figure 20-15.

A cursor-based WHILE loop in Transact-SQL (continued)

10

Data Query Language (DQL)

Transact-SQL equivalent of the SQLSTATE code. It receives a value of zero when a fetch is successful, and a nonzero value when there are no more rows to fetch.

When an application program uses Embedded SQL or a SQL API for database processing, the application program is responsible for handling errors that arise. Error status codes are returned to the application program, and more error information is typically available through additional API calls or access to an extended diagnostics area. When database processing takes place within a stored procedure, the procedure itself must handle errors. Transact-SQL provides error handling through a set of global system variables. The specific error-handling variables are only a few of well over 100 system variables that provide information on the state of the server, transaction state, open connections, and other database configuration and status information. The two most useful global variables for error handling are: I @@@ERROR. Contains error status of the most recently executed statement batch I @@@SQLSTATUS. Contains status of the last fetch operation The normal completion values for both variables are zero; other values indicate various errors and warnings. The global variables can be used in the same way as local variables within a Transact-SQL procedure. Specifically, their values can be checked for branching and loop control. Oracle s PL/SQL provides a different style of error handling. The Oracle DBMS provides a set of system-defined exceptions, which are errors or warning conditions that can arise during SQL statement processing. Within an Oracle stored procedure (actually, any Oracle statement block), the EXCEPTION section tells the DBMS how it

20:

should handle any exception conditions that occur during the execution of the procedure. There are over a dozen different predefined Oracle-detected exception conditions. In addition, you can define your own exception conditions. Most of the previous examples in this chapter don t provide any real error-handling capability. Figure 20-16 shows a revised version of the Oracle stored function in Figure 20-7. This improved version detects the specific situation where the supplied customer number does not have any associated orders (that is, where the query to calculate total orders returns a NO_DATA_FOUND exception). It responds to this situation by signaling back to the application program an application-level error and associated message. Any other exception conditions that arise are caught by the WHEN OTHERS exception handler.

Data Query Language (DQL) includes SQL statements that retrieve data from the database. Although it s a very important part of SQL, DQL consists of statements that use only one command: SELECT. DQL is presented in s 4, 5, and 6. Some vendors and authors lump DQL in with DML when they categorize SQL statements.

/* Return total order amount for a customer */ create function get_tot_ords(c_num in integer) return number(16,2) as /* Declare one local variable to hold the total */ declare tot_ord number(16,2); begin /* Simple single-row query to get total */ select sum(amount) into tot_ord from orders where cust = c_num; /* return the retrieved value as fcn value */ return tot_ord; exception /* Handle the situation where no orders found */ when no_data_found then raise_application_error (-20123, Bad cust# ); /* Handle any other exceptions */ when others then raise_application_error (-20199, Unknown error ); end;

Figure 20-16.