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switch, but this requires versions of the operating system that were not in use in this situation, such as Windows Server Datacenter Edition.
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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.
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CHAPTER 1 DEVELOPING SUCCESSFUL ORACLE APPLICATIONS
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Use Bind Variables
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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. For example, to retrieve the record for employee 123, I can use this query: select * from emp where empno = 123; Alternatively, I can set the bind variable :empno to 123 and execute the following query: select * from emp where empno = :empno; In a typical system, you would query up employee 123 maybe once and then never again. Later, you would query employee 456, then 789, and so on. If you use literals (constants) in the query, then each and every query is a brand-new query, never before seen by the database. It will have to be parsed, qualified (names resolved), security checked, optimized, and so on in short, each and every unique statement you execute will have to be compiled every time it is executed. The second query uses a bind variable, :empno, the value of which is supplied at query execution time. This query is compiled once, and then the query plan is stored in a shared pool (the library cache), from which it can be retrieved and reused. The difference between the two in terms of performance and scalability is huge dramatic, even. From the previous description, it should be fairly obvious that parsing a statement with hard-coded variables (called a hard parse) will take longer and consume many more resources than reusing an already parsed query plan (called a soft parse). What may not be so obvious is the extent to which the former will reduce the number of users your system can support. This is due in part to the increased resource consumption, but an even larger factor arises due to the latching mechanisms for the library cache. When you hard-parse a query, the database will spend more time holding certain low-level serialization devices called latches (see 6 for more details). These latches protect the data structures in the shared memory of Oracle from concurrent modifications by two sessions (otherwise Oracle would end up with corrupt data structures) and from someone reading a data structure while it is being modified. The longer and more frequently you have to latch these data structures, the longer the queue to get these latches will become. You will start to monopolize scarce resources. Your machine may appear to be underutilized at times, and yet everything in the database is running very slowly. The likelihood is that someone is holding one of these serialization mechanisms and a line is forming you are not able to run at top speed. It only takes one ill-behaved application in your database to dramatically affect the performance of every other application. A single, small application that does not use bind variables will cause the SQL of other well-designed applications to get discarded from the shared pool over time. That will cause the welldesigned applications to have to hard-parse their SQL all over again as well. You only need one bad apple to spoil the entire barrel.
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