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you could see, the performance of the solutions varied widely. The common theme was that the cursors performed badly, and the solutions that were based on ranking calculations performed either reasonably or very well. Some of the solutions based on subqueries performed well, whereas some not so well. One of my goals in this chapter was to cover the specifics of the gaps and islands problems and identify good performing solutions. However, I also had an additional goal. It is common to find that for any given querying problem there are several possible solutions that will vary in complexity and performance. I wanted to emphasize the importance of producing multiple solutions, and analyzing and comparing their logic and performance.

tell the application id "commicrosoftexcel" select (range "A1:B4") make new chart sheet at beginning of active workbook with properties {name:"Sales Chart"} tell the chart of sheet "Sales Chart" set the chart type to cylinder column set has title to true tell its chart title set the caption to "Sales Results" tell the font object set the font size to 36

In the next chapter, Investor s Business Daily s Kate Stalter will discuss how to determine stock direction based on tracking distribution days

Itzik Ben-Gan is a Mentor and Co-Founder of Solid Quality Mentors. A SQL Server Microsoft MVP (Most Valuable Professional) since 1999, Itzik has delivered numerous training events around the world focused on T-SQL Querying, Query Tuning, and Programming. Itzik is the author of several books, including Microsoft SQL Server 2008: T-SQL Fundamentals, Inside Microsoft SQL Server 2008: T-SQL Querying, and Inside Microsoft SQL Server 2008: T-SQL Programming. He has written many articles for SQL Server Magazine as well as articles and white papers for MSDN. Itzik s speaking activities include TechEd, DevWeek, SQLPASS, SQL Server Magazine Connections, various user groups around the world, and Solid Quality Mentors events, to name a few. Itzik is the author of Solid Quality Mentors Advanced T-SQL Querying, Programming and Tuning and TSQL Fundamentals courses along with being a primary resource within the company for their T-SQL related activities.

in boldface here:

Prior to SQL Server 2005, error handling was limited to testing @@ERROR after each statement. This required users to write lots of similar code to do error handling. The introduction of TRY...CATCH blocks in Transact-SQL (T-SQL) gives the developer more options to detect and handle errors. It is now possible to completely consume errors on the server. Or if you d like, you can return specific errors back to the client. The .NET development languages also have a series of classes for SQL Server error handling. These can be used to process errors and capture informational messages from SQL Server. The combination of TRY...CATCH on the server and the SQL Server specific error handling on the client give developers many options to capture errors and handle them appropriately.

ased on the market research developed by founder William J O Neil, Investor s Business Daily (IBD) made a number of intriguing discoveries about price and volume Perhaps most interesting, they confirmed that over three out of four stocks move in the direction of the overall market Kate Stalter, market commentator at IBD, says, Our research has found that the two key metrics you want to use are price and volume, especially institutional volume Stalter explains: When you re looking at the major market indexes, and you see several days of heavy-volume selling within close proximity of each other, these big-volume down days are called distribution days When you see too many of those within a few weeks, you should take notice According to Stalter, stalling action, or heavy volume without further price progress up, is also counted as distribution When the distribution day count grows to five or six over a five-week span, the general market almost always turns lower, she notes (Note: A chart of distribution days is located in 12) This is a proven historical signal going back to the 1880s, Stalter says, that institutional investors are unloading their shares and the indexes are weakening By the time you get to that fifth or sixth distribution day, it s a red flag It doesn t mean you run out and sell everything, but it does mean you watch your portfolio like a hawk The odds are no longer in your favor

Consider the following T-SQL statements that generate an error: