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Benchmarking is an activity designed to establish performance characteristics of software. You can use benchmarking to establish a known performance level (called a baseline) and then later run the benchmarks again after a change in environment to determine the effects of those changes. This is the most common use of benchmarking. Other uses include identification of performance limits under load, managing change to the system or environment, and identifying conditions that may be causing performance problems. You perform benchmarking by running a set of tests that exercise the system and storing the performance counter results. These results are called benchmarks. They are typically stored or archived and annotated with a description of the system environment. For example, savvy database professionals often include the benchmarks and a dump of the system configuration and environment in their archive. This permits them to compare how the system performed in the past with how it is currently performing and identify any changes to the system or its environment. The tests are normally of the functional variety and are targeted toward testing a particular feature or function of the system. Some benchmarking tools include a broad range of tests that examine everything about the system, from the mundane to the most complex operations, under light, medium, and heavy loads. Although most developers would consider running benchmarks only when something odd happens, it can be useful to run the benchmarks at fixed intervals or even before and after major events, such as changes to the system or the environment. Just be sure to remember to run your benchmarks the first time to create a baseline. Benchmarks taken after an event without a baseline will not be very helpful!

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This is because it would make no sense to give empties the truly generic type 'a list [], because this would imply that we ve created an array of lists somehow suitable for use with any type 'a In reality, any particular array should have one specific type, such as int list [] or string list [], but not both (If it were usable with both types, then we could store an integer list in the array and fetch it out as a string list!) The value restriction ensures that declarations don t result in this kind of confusion; automatic generalization is not applied to declarations unless they are functions or simple, immutable data constructs.

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Many good practices are associated with benchmarking. In this section, I ll take you through a few that I ve found to be helpful in getting the most out of the benchmarking experience. First, you should always consider the concept of before-and-after snapshots. Don t wait until after you ve made a change to the server to see how it compares to the baseline you took six months ago. A lot can happen in six months! Instead, measure the system before the change, make the change, and then measure the system again. This will give you three metrics to compare: how the system is expected to perform, how it performs before the change, and how it performs after the change. You may find that something has taken place that makes your change more or less significant. For example, let s say your benchmarks include a metric for query time. Your baseline established six months ago for a given test query was set at 4.25 seconds. You decide to modify the index of the table being tested. You run your before benchmark and get a value of 15.50, and your after benchmark produces a value of 4.5 seconds. If you had not taken the before picture, you wouldn t have known that your change increased performance dramatically. Instead, you might have concluded that the change caused the query to perform a bit slower which might have led you to undo that change, thus resulting in a return to slower queries. This fictional example exposes several aspects that I want to warn you about. If you are conducting benchmarks on the performance of data retrieval on systems that are expected to

It s often helpful to use the weakest set of side effects necessary to achieve your programming task and at least be aware when you re using strong side effects:

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