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It is important for us to understand how redo log files might impact us as developers. We will look at how the different ways we can write our code affect redo log utilization. We ve already seen the mechanics of redo earlier in the chapter, and now we ll look at some specific issues. Many of these scenarios might be detected by you, but would be fixed by the DBA as they affect the database instance as a whole. We ll start with what happens during a COMMIT, and then get into commonly asked questions and issues surrounding the online redo logs.

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As a developer, you should have a good understanding of exactly what goes on during a COMMIT In this section, we ll investigate what happens during the processing of the COMMIT statement in Oracle A COMMIT is generally a very fast operation, regardless of the transaction size You might think that the bigger a transaction (in other words, the more data it affects), the longer a COMMIT will take This is not true The response time of a COMMIT is generally flat, regardless of the transaction size This is because a COMMIT does not really have too much work to do, but what it does do is vital One of the reasons this is an important fact to understand and embrace is that it will lead you down the path of letting your transactions be as big as they should be.

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As we discussed in the previous chapter, many developers artificially constrain the size of their transactions, committing every so many rows, instead of committing when a logical unit of work has been performed They do this in the mistaken belief that they are preserving scarce system resources, when in fact they are increasing them If a COMMIT of one row takes X units of time, and the COMMIT of 1,000 rows takes the same X units of time, then performing work in a manner that does 1,000 one-row COMMITs will take an additional 1,000*X units of time to perform By committing only when you have to (when the logical unit of work is complete), you will not only increase performance, but also reduce contention for shared resources (log files, various internal latches, and the like) A simple example demonstrates that it necessarily takes longer.

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We ll use a Java application, although you should expect similar results from most any client except, in this case, PL/SQL (we ll discuss why that is after the example) To start, here is the sample table we ll be inserting into: scott@ORA10G> desc test Name Null ----------------- -------ID CODE DESCR INSERT_USER INSERT_DATE Type -----------NUMBER VARCHAR2(20) VARCHAR2(20) VARCHAR2(30) DATE.

The following code shows a few more variables to set up some paths, filenames, and various other items in our script. The ED variable defines the file that will contain editing changes to be made to the shadow file. The max variable represents the number of days a password is permitted to exist without change. The notify variable is used to start notifying users that their accounts are about to expire. The notifications start two weeks (14 days) prior to expiration. The remaining variable assignments specify files that will all contain parts of the final aging report that is sent to the administrator. Nothing too fancy here.

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