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If we have REPEATABLE READ enabled in a database that employs shared read locks (and not multiversioning), lost update errors can t happen. The reason lost updates will not happen in those databases is because the simple act of selecting the data leaves a lock on it, and once read by our transaction, that data cannot be modified by any other transaction. Now, if your application assumes that REPEATABLE READ implies lost updates can t happen, you are in for a painful surprise when you move your application to a database that does not use shared read locks as an underlying concurrency control mechanism.

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The WHILE loop specifies that a certain statement be executed while a certain condition is true. Note that the condition is evaluated outside the loop. Each time the statements within the LOOP and END LOOP statements are executed, the condition is evaluated. When the condition no longer holds true, the loop is exited. Here s an example of the WHILE loop: WHILE total <= 25000 LOOP . . . SELECT sal INTO salary FROM emp WHERE . . . total := total + salary; END LOOP;

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There were three possible solutions to this problem, and all three entailed quite a bit of work (and remember, this was after the port was supposedly complete!). Our options were as follows: Re-architect the application, to allow it to take advantage of the fact it was running on Oracle and use a single connection to generate a page, not somewhere between 5 to 15 connections. This was the only solution that would actually solve the problem. Upgrade the OS (no small chore) and use the larger memory model of the Windows Datacenter version (itself not a small chore either, as this process involves a rather involved database setup with indirect data buffers and other nonstandard settings). Migrate the database from a Windows-based OS to some other OS where multiple processes are used, effectively allowing the database to use all installed RAM (again, a nontrivial task). As you can see, none of the presented options is the sort of solution that would have you thinking, OK, we ll do that this afternoon. Each was a complex solution to a problem that would have most easily been corrected during the database port phase, while you were in the code poking around and changing things in the first place. Furthermore, a simple test to scale prior to rolling out a production would have caught such issues prior to the end users feeling the pain.

Note In a stateless environment, such as a web-based application, lost updates would likely be a cause for

The FOR loop is used when you want a statement to be executed a certain number of times. The FOR loop emulates the classic do loop that exists in most programming languages. Here s an example of the FOR loop: BEGIN FOR count_num IN 1..100 LOOP dbms_output.put_line('The current count is : END LOOP; END;

concern even in REPEATABLE READ isolation. This is because a single database session is used by many clients via a connection pool and locks are not held across calls. REPEATABLE READ isolation only prevents lost updates in a stateful environment, such as that observed with a client-server application.

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If I were to write a book about how to build nonscalable Oracle applications, then Don t Use Bind Variables would be the title of the first and last chapters This is a major cause of performance issues and a major inhibitor of scalability The Oracle shared pool (a very important shared memory structure, found in the System Global Area [SGA]) is where Oracle stores parsed, compiled SQL among other things We cover the shared pool in detail in 4 This structure s smooth operation is predicated on developers using bind variables in most cases If you want to make Oracle run slowly even grind to a total halt just refuse to use bind variables A bind variable is a placeholder in a query.

Records in PL/SQL let you treat related data as a single unit. Records contain fields, with each field standing for a different item. You can use the %ROWTYPE attribute to declare a table s columns as a

While this sounds good, you must remember that leaving the shared read locks behind on all data as it is read will, of course, severely limit concurrent reads and modifications. So, while this isolation level in those databases provides for lost update prevention, it does so by removing the ability to perform concurrent operations! You can t always have your cake and eat it too.

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