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The way your program handles its cursors can have a major impact on database performance Recall from 12 that the SQL transaction model guarantees the consistency of data during a transaction In cursor terms, this means that your program can declare a cursor, open it, fetch the query results, close it, reopen it, and fetch the query results again and be guaranteed that the query results will be identical both times The program can also fetch the same row through two different cursors and be guaranteed that the results will be identical In fact, the data is guaranteed to remain consistent until your program issues a COMMIT or ROLLBACK to end the transaction Because the consistency is not guaranteed across transactions, both the COMMIT and ROLLBACK statements automatically close all open cursors.

access to the query results. When a program closes a cursor for a dynamic query, the program normally should also deallocate the resources associated with the dynamic query, including: I The SQLDA allocated for the dynamic query and used in the DESCRIBE and FETCH statements I A possible second SQLDA, used to pass parameter values to the OPEN statement I The data areas allocated to receive each column of query results retrieved by a FETCH statement I The data areas allocated as indicator variables for the columns of query results It may not be necessary to deallocate these data areas if the program will terminate immediately after the CLOSE statement.

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Behind the scenes, the DBMS provides this consistency guarantee by locking all of the rows of query results, preventing other users from modifying them If the query produces many rows of data, a major portion of a table may be locked by the cursor Furthermore, if your program waits for user input after fetching each row (for example, to let the user verify data displayed on the screen), parts of the database may be locked for a very long time In an extreme case, the user might leave for lunch in mid transaction, locking out other users for an hour or more! To minimize the amount of locking required, you should follow these guidelines when writing interactive query programs: Keep transactions as short as possible Issue a COMMIT statement at reasonable intervals during processing.

Like the other parts of the SQL language, dynamic SQL varies from one brand of DBMS to another. In fact, the differences in dynamic SQL support are more serious than for static SQL, because dynamic SQL exposes more of the nuts and bolts of the underlying DBMS data types, data formats, and so on. As a practical matter, these differences make it impossible to write a single, general-purpose database front-end that is portable across different DBMS brands using dynamic SQL. Instead, database front-end programs must include a translation layer, often called a driver, for each brand of DBMS that they support to accommodate the differences. The early front-end products usually shipped with a separate driver for each of the popular DBMS brands. The introduction of ODBC as a uniform SQL API layer made this job simpler, since an ODBC driver could be written once for each DBMS brand, and the front-end program could be written to solely use the ODBC interface. In practice, however, ODBC s least-common-denominator approach meant that the front-end programs couldn t take advantage of the unique capabilities of the various supported DBMS systems, and it limited the performance of the application. As a result, most modern front-end programs and tools still include a separate, explicit driver for each of the popular DBMS brands. An ODBC driver is usually included to provide access to the others. A detailed description of the dynamic SQL features supported by all of the major DBMS brands is beyond the scope of this book. However, it is instructive to examine the dynamic SQL support provided by SQL/DS and by Oracle as examples of the kinds of differences and extensions to dynamic SQL that you may find in your particular DBMS.

It is sometimes tempting to issue a COMMIT after every INSERT, UPDATE, and DELETE, but processing a commit adds to overhead, so there s a trade-off between releasing locks in a timely manner and processing efficiency..

Dynamic SQL in Oracle *

Avoid programs that require a great deal of user interaction or that browse through many rows of data. If you know that the program will not try to refetch a row of data after the cursor has moved past it, use one of the less restrictive isolation modes described in 12. This allows the DBMS to unlock a row as soon as the next FETCH statement is issued. Avoid the use of scroll cursors unless you have taken other actions to eliminate or minimize the extra database locking they will cause. Explicitly specify a READ ONLY cursor, if possible.

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