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Joe Celko's SQL for Smarties: Advanced SQL Programming Third Edition (The Morgan Kaufmann...
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by Joe Celko
Sales Rank: 161510
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Discount: 37 %
$31.00
At Amazon
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Paperback: 840 pages
Publisher: Morgan Kaufmann; 3 edition August 15, 2005
Language: English
ISBN-10: 0123693799
ISBN-13: 978-0123693792
Product Dimensions:
9.1 x 7.4 x 1.9 inches
Shipping Weight: 3.8 pounds
Product Review
In the SQL database community, Joe Celko is a well-known columnist and purveyor of valuable insights. In Joe Celko's SQL for Smarties: Advanced SQL Programming, he picks up where basic SQL training and experience leaves many database professionals and offers tips, techniques, and explanations that help readers extend their capabilities to top-tier SQL programming.
Although Celko denies that the book is about database theory, he nevertheless alludes to theory often to buttress his practical points. This title is not for novices, as the author points out. Instead, its intended audience is SQL programmers with at least a year's experience. The book maintains a fine balance between technical discussion and practical explanation--picking hot topics and offering advice on a wide range of issues.
The book uses ANSI SQL-89 as its baseline standard, with some mention of SQL-92 features. It does not, however, focus on any commercial product; this guide zeroes in on the SQL language. Celko covers all aspects of database design, optimization, and manipulation, with easy-to-understand explanations of key issues such as why not to use too many nulls, how to use practical normalization, and how to optimize queries.
This insightful text is manna for all the day-to-day SQL coders banging their heads over the language's subtle challenges. --Stephen W. Plain
Topics covered: Database design and normalization, SQL data types, querying, grouping, set operations, optimization, data scaling, and encoding.
--This text refers to an out of print or unavailable edition of this title.
Product Review
"This book is a classic, and this revision will merely solidify its position."
--Rudy Limeback
Customer Reviews & Comments
This review is from: Joe Celko's SQL for Smarties: Advanced SQL Programming (The Morgan Kaufmann Series in Data Management Systems) (Paperback)
Not so much unimpressed at Joe's knowledge, which is impressive indeed: the book reads a lot more like a teaching text than most technical books. But there are things in here which may lead astray some who have already done things that Joe advises strongly against. I will concentrate on one example: In chapter 3 "Numeric Data in SQL", under the heading "Generator Functions" (e.g., IDENTITY, AUTO_INCREMENT) we get this doozy: "This is a horrible, nonstandard, nonrelational proprietary extension that should be avoided whenever possible". Just a statement, no reason whatsoever provided for it, because I guess he assumes we know some "math rule" or something behind why it is such a bad idea. Now, we must think for a minute why one uses such a data column. In my own case, I have a table called Parts that contains parts from several different companies. So, I guess Joe would have me make a composite primary key from PN and CompanyID. But, wait a minute, that complicates matters when I need to have a foreign key reference to the Parts table, and, oh by the way, just what is CompanyID anyway, maybe some other composite key, or some goofy "rule-based" (can you say TRIBAL KNOWLEDGE) thing? You can't seriously believe that "ALFKI" is a better key than,say, 33. What happens when I get a new customer named "Alfred Kiplinger", and have to change the "rule" that I came up with for defining the primary key? See the problem? You're not going to remember the ID anyway, because the rule will be broken at some point. I also happen to think that a part number (to give one example) should be changeable. So, I don't make PN the primary key (because you should NEVER change a PK), I simply have the database generate one for me. What am I missing here? It was not explained to me in this book, it was just a blanket statement of preference, put across like a hard and fast rule. But then come the contradictions. In the very next chapter on temporal data types, we get a very long paragraph on "key generators" and how they need to be designed to eliminate or minimize identical keys (I kid ye not!). He talks about elaborate hashing algorithms, the server system clock, random number generators, and how pseudorandom numbers are not usually a problem since the cycle size can be "hundreds of thousands or even millions of numbers". Huh? Amazon has 50,000,000 customers! I'm sure they wouldn't be too happy if "only" every millionth one had the same id! No mention in this entire section on GUID or UNIQUEIDENTIFIER, which won't repeat forever in the known universe! Then there is seeming randomness to the topics introduced. I think I work with a guy that's a lot like Joe, but man, can it be hard to follow the "why" of what he is talking about! I usually figure it out about two days later when I'm sitting at my desk working on something completely different. Here's one example: We go from an incredibly long section on Domain Key Normal Form, with all of its calculus functional dependency stuff ("A determines B, therefore if CA = B, &c, &c, &c....."), to a paragraph right after this about normalization, and how a Students table should not have "Student data and also bowling scores". But come on, that's DB101, not Math335! Bottom Line: The reason I gave three stars to this book is that I think I misread its intention. I believed it to be a book for someone who knew SQL, and wanted to become more advanced in SQL. Now that I ponder the title, however, I believe that it means "OK, here's a book for you scientific math types out there who want to apply your math degree to learn SQL", i.e., SQL for smarties, not for non-degreed dummies like myself. That, to me, is exactly how the book is written, and it probably succeeds against that yardstick.
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Joe Celko's SQL for Smarties: Advanced SQL Programming Third Edition (The Morgan Kaufmann...
Discount: 37 %
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Price: $31.00
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