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One way to think of this is that you can create concrete objects only once the type inference problem is sufficiently constrained so that every concrete object created at the top level of your program has a ground type, in other words, a type that doesn t contain any ungeneralized type variables The value restriction doesn t apply to simple immutable data constants or function definitions For example, the following declarations are all automatically generalized, giving the generic types shown: let let let let val val val val emptyList = [] initialLists = ([],[2]) listOfEmptyLists = [[];[]] makeArray () = Arraycreate 100 [] emptyList : 'a list initialLists : ('a list * int list) listOfEmptyLists : 'a list list makeArray : unit -> 'a list [].

grow in the amount of data stored, you need to run your benchmarks more frequently so that you can map the effects of the growth of data with the performance of the system. In the previous example, you would have considered the before value to be normal for the conditions of the system, such as data load. You should also be careful to ensure your tests are valid for what you are measuring. If you are benchmarking the performance of a query for a table, your benchmarks are targeted at the application level and are not useful for predicting the performance of the system in the general sense. Be sure to segregate application-level benchmarks from the more general metrics to be sure you don t skew your conclusions. Another good practice that is related to the before and after concept is to run your benchmarks several times over a constrained period of activity (under a consistent load) to ensure your benchmarks are not affected by localized activity such as a rogue process or a resource-intensive task. I find running the benchmark up to several dozen times permits me to determine mean values for the results. You can create these aggregates using many techniques. You could use a statistic package to create the basic statistics or use your favorite statistical friendly spreadsheet application.4

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Weak side effects are effectively benign given the assumptions you re making about your application. For example, writing to a log file is very useful and is essentially benign (if the log file can t grow arbitrarily large and crash your machine!). Similarly, reading data from a stable, unchanging file store on a local disk is effectively treating the disk as an extension of read-only memory, so reading these files is a weak form of side effect that isn t difficult to incorporate into your programs. Strong side effects have a much more corrosive effect on the correctness and operational properties of your program. For example, blocking network I/O is a relatively strong side effect by any measure. Performing blocking network I/O in the middle of a library routine can have the effect of destroying the responsiveness of a GUI application, at least if the routine is invoked by the GUI thread of an application. Any constructs that perform synchronization between threads are also a major source of strong side effects.

The value restriction crops up with mild regularity in F# coding, particularly when using F# Interactive, where the scope of type inference is at the granularity of each entry sent to the tool rather than an entire file, and hence there are fewer constraints placed on these code fragments. You can work around the value restriction in several ways, depending on what you are trying to do.

Perhaps the most useful practice to adopt is the idea of changing one thing at a time Don t go through your server with a wide brush of changes and expect to conclude anything meaningful from the results What often happens in this case is one of the six or so changes negatively affects the gains of several others and the remaining ones have little or no effect on performance Unless you made one change at a time, you would have no idea which affected the system in a negative, positive, or neutral way You should also use real data whenever possible Sometimes manufactured data contains data that falls neatly into the ranges of the fields specified and therefore never test certain features of the system (domain and range checking, etc).

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