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Conversely, you may decide that some request can be rephrased to produce a much simpler SQL statement, even if the English equivalent isn t quite so direct. Consider the Carlton example you might very well start with a query against some table that allowed you to identify all the zip codes covered by the Carlton advertising region, and then use this as an input to a more complex query: Step 1: select distinct zip_code from tableX where agent = 'CARLTON'; Step 2: select tel from customers where zip_code in ( select /* distinct */ zip_code from tableX where agent = 'CARLTON' ); On the other hand, it is probably much easier to spot in this case that a simple join between tables would be a perfectly satisfactory and comprehensible way of acquiring the information, provided we knew that each zip code appeared no more than once per agent and had included that fact as a constraint on the database. (Note the use of the distinct in the first of the two preceding queries. The mechanism of an in subquery makes this implicit, which is why I have commentedit out in the second query.) select from tel tableX, customers where and ; tableX.agent = 'CARLTON' customers.zip_code = tableX.zip_code

Listing A-3 is compiled with cl /clr /doc /LD xml_comments.cpp The documentation comments are generated with xdcmake xml_comments.xdc The resulting xml_comments.xml file, with some minor whitespace alterations, is as follows: < xml version="1.0" > <doc> <assembly> xml_comments </assembly> <members> <member name="M:R.G(System.String,System.String)"> The method G is a method in the R class. <summary>Counts the number of characters in two strings. </summary> <param name="s1"> Description for s1</param> <param name="s2"> Description for s2</param> <returns>The sum of the length of two strings.</returns> </member> <member name="M:R.F(System.Int32)"> <summary>F is a method in the R class. <para>You can break the comments into paragraphs. <see cref="M:R.G(System.String,System.String)" /> for related information. </para> <seealso cref="M:R.G(System.String,System.String)" /> </summary> </member> <member name="T:R"> Ref class R demonstrates XML Documentation Comments. <summary> A class demonstrating documentation comments </summary> <remarks> A detailed description of R goes into the remarks block </remarks> </member> </members> </doc>

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When we translate user requirements into SQL, we have a great deal of scope in how we express ourselves. Ideally, of course, we want to express the problem in the way that fits our natural language most easily while allowing the optimizer to operate the resulting query in the most efficient fashion.

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subqueries to joins and have produced a SQL statement that is not logically identical to the original. Be very careful with subqueries and rewrites.

It is up to you to then render this in the desired user-friendly documentation format. For example, you could generate documentation in various formats using a tool such as Sandcastle, available from the Microsoft download center (http://www.microsoft.com/downloads).

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Looking at things from the opposite view point: if we fire the following query at a general purpose RBDMS, what could it do to resolve it select * from tableX where z_code in ('A','B','C'); One option would be to scan every row from tableX, and check the column z_code to see if it was an 'A', 'B', or 'C' a filtering operation. Another option might be to make use of a

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convenient index that makes it very cheap to find all the 'A's, then find all the 'B's, then find all the 'C's a mechanism that I usually refer to as a driving operation. The same possibility exists when the query becomes slightly more complex: select * from tableX where z_code in (other query); Should the RDBMS get all the rows from tableX, and operate the other query once for each row, or should it somehow try to operate the other query once and use its result set to drive into tableX If everything I ve said in this section makes perfect sense to you, then you ve understood all there is to know (from a conceptual point of view) about subquery transformation. There are ways to write SQL that are nice, easy, and intuitively obvious for the natural language speaker there are ways to operate SQL that allows the database engine to perform efficiently. The better the optimizer is at translating between equivalent SQL statements, the less work you have to do to tailor your queries to the needs of the database engine. Subquery transformation is one of the growth areas in the Oracle optimization code aimed squarely at this issue.