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Note You can also use wsdl.exe to generate F# code by adding a command-line option that gives an explicit

Queries on XML are often expressed using the XPath query language, which we don t cover in detail in this book but which is supported by the types in the System.Xml namespace. As a good alternative to XPath, you can use the standard sequence operators to perform queries over XML data. The following example uses the helper functions and the file contacts2.xml created in the previous section: open System open System.Xml.Linq let elem (e: XElement) s let elemv e s = e.Element(xname s) = (elem e s).Value

3. Query execution in traditional systems includes not only processing the query but also accessing the data from physical media. However, memory-resident systems do not have the long access times associated with retrieval from physical media.

reference to the F# CodeDOM dynamic code generator, part of the F# Power Pack on www.codeplex.com. For example, you can use an option such as /language:"Microsoft.FSharp.Compiler.CodeDom.

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let contactsXml = XElement.Load(file "contacts2.xml") let contacts = contactsXml.Elements () > contacts |> Seq.filter (fun e -> (elemv e "name").StartsWith "J") |> Seq.map (fun e -> (elemv e "name"), (elemv e "phone"));; val it : seq<string * string> = seq [("John Smith", "+1 626-123-4321")] In this example, we also defined some helper functions: elem to extract from an XElement object the first child element with a given name and elemv to convert that to a string value. You can also use the query operators in building new XML: xelem "results" [ contacts |> Seq.filter

The cardinality of each relation The number of pages in the segment that hold tuples of each relation The fraction of data pages in the segment that hold tuples of relation (blocking factor, or fill) For each index: The number of distinct keys in each index The number of pages in each index These statistics come from several sources within the system The statistics are created when a relation is loaded and when an index is created They are then updated periodically by a user command,4 which can be run by any user System R does not update these statistics in real time because of the extra database operations and the locking bottleneck this would create at the system catalogs Dynamic updating of statistics would tend to serialize accesses that modify the relation contents and thus limit the ability of the system to process simultaneous queries in a multiuser environment.

FSharpCodeProvider, FSharp.Compiler.CodeDom, Version=1.9.9.9, Culture=neutral, PublicKeyToken=a19089b1c74d0809". Note the similarity to the CodeDOM reference used in the web.config file in

(fun e -> (elemv e "name").StartsWith "J")

The use of statistics in cost-based optimization is not very complex Most database professionals interviewed seem to think the gathering and application of statistics is a complex and vital element of query optimization Although it is true that cost-based query optimization and even hybrid optimization schemes use statistics for cost and/or ranking, they are neither complex nor critical Take, for instance, the concept of evenly distributed values among attributes This concept alone is proof of the imprecise nature of the application of statistics Statistical calculations are largely categorical in nature and not designed to generate a precise value They merely assist in determining whether one query execution plan is generally more costly than another Frequency distribution of attribute values is a common method for predicting the size of query results.

Listing 14-2. The generated file can then be compiled as normal, although we have found that small adjustments sometimes need to be made to the generated code.

This creates a <results> tag and inserts all employees whose last name starts with the letter J. You can also use sequence expressions to achieve the same: xelem "results" [ for e in contacts do if (elemv e "name").StartsWith "J" then yield e ]

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