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Two variants are provided. The rst API allocates a descriptor to which the column value is copied. The client is responsible for freeing the descriptor when it is no longer needed. The second copies the value to an existing descriptor passed in by the client. Usage of these APIs differs signi cantly from the column extractors the TSqlBlob APIs are not associated with a prepared statement. Whereas the column extraction APIs may only access the current row of a result set, the TSqlBlob APIs use a direct addressing scheme where clients specify the table, row and column from which to retrieve the data. The row is identi ed using its unique ROWID (see Section 4.7), thus clients must possess this identi er before they can retrieve the desired data. This complicates the use of the TSqlBlob APIs, but nevertheless their use is strongly recommended for long binary or text data as it is far more memory ef cient. Both API variants take two optional arguments. If the aRowId argument is not speci ed then it defaults to the id of the last inserted row. The aDbName parameter can be used if the table to be accessed lies in an attached database. If a value is not speci ed then the main database is assumed. The following example code excerpts retrieve binary data. The rst uses column extraction APIs to retrieve a name and thumbnail photo from a phonebook table:

Before we met Sean, we d been following the housing and mortgage markets for years and had long believed that a signi cant bubble had occurred and was in the process of bursting. Thus, we were skeptical of the calm assurances throughout 2007 and well into 2008 that the worst was behind us that were offered by President Bush, Fed Chairman Ben Bernanke, Treasury Secretary Henry Paulson, the CEOs of nancial and

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Software Handlers Inc. (a ctitious name for a real company) employs about seventy- ve programmers and systems analysts and designs and develops software to meet client needs. A few years ago, Software Handlers struggled with a nagging problem that is not uncommon in this eld: ineffective staff interaction with clients. Staff felt that clients were often naive about computer capabilities, didn t know what they wanted, and changed their minds frequently. By the same token, Software Handlers management was receiving an alarming number of complaints from clients about the technical tunnel vision of its staff, their abruptness in dealing with clients, and their inability to do anything that lay beyond their limited ken. Management instituted a number of policies to deal with this situation, one of which was requiring staff to undergo training on the Myers-Briggs approach. All staff members took the Myers-Briggs test and had the results explained to them by a Myers-Briggs specialist. They were instructed that in dealing with a client, they should make a mental assessment of the client s psychological type. Armed with this information, they would, in conjunction with an in-house MyersBriggs specialist, map out an approach for dealing with the client. For example, if the client were a highly technical type of person (for example, an INTP scientist), his or her principal contact in the company would be a staff member of a similar type (for example, an INTP or INTJ). If the client were a nontechnical ESFJ (for example, a manager in a social services agency), it would be advisable to avoid assigning an

public class IntegerFormatter extends Formatter { /** * Returns an object representation of its argument. * * @return an object */ protected Object unformat(String string) { if (string == null || string.trim().length() < 1) return null; return new Integer(string); } /** * Returns a formatted version of its argument. * * @return a formatted String */ protected String format(Integer anInteger) { return (anInteger == null : anInteger.toString()); } }

Some would argue that expert systems have not been all that successful and that we have not yet accomplished the goal of creating programs that can solve problems as well as human experts can. To understand this viewpoint, we will explore some of the problems and limitations of expert systems at the end of the chapter.

Line Breaks 55 Paragraphs 56 Manual line breaks 59 Nonbreaking Spaces 60 Soft Hyphens 61 Preserving Formatting The <pre> Element 63 Indents 64 Headings 66 Horizontal Rules 68 Grouping with the <div> Element 70 Summary 73.

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