Practical Issues In Database Management
Most of the time, when a computer book has the word "practical" in the title, it means one thing: examples. Lots and lots of real-world, cut-and-paste examples intended to solve the exact problem you're facing. This book departs from that stereotype by containing little in the way of practical examples. I don't think it even mentions any specific database products. Instead, it mainly discusses the platonic ideal of a database from a scholarly standpoint, and never touches actual examples of database products. As such, it is a relatively timeless book, but it is not what I would describe as "practical".
Essentially, it is a scholarly overview of the whole concept of databases, some common pitfalls that database administrators (DBA's) run into, and where actual database systems fall short of the platonic ideal. It would be a good book for an "Intro to Databases" class (and I don't mean a How to Use Excel course, I mean a CompSci course).
Let's skim through the chapters. I'll try to make this review accessible to all readers, even those who don't know much about databases.
Chapter 1 discusses datatypes (how data is stored in the database), and suggests that DBA's should not fall into the trap of using complex, proprietary datatypes over standard character and numeric fields. Chapter 1 also includes the oddest section of the book: 20 pages of Webpage print-outs whose sole unifying theme seems to be "Look what weird stuff people want to put in databases - and here's a ZDNet printout to prove it!". This section almost turned me off the book entirely, but thankfully it wasn't repeated. I don't know what they were thinking...
Chapter 2 discusses integrity rules. Integrity constraints are rules that your data should obey - enforcing the rules is the problem. For instance, no two employees should have the same employee number. Essentially, the author's advice boils down to implementing integrity in the database itself rather than via triggers or external logic.
Chapter 3 discusses keys. A key is a field in a record with data that you plan to use to pull that record from the table - for instance, if you were getting information about employees, you might use that employee number as a key, because one employee number should correspond to one record and one employee. The author discusses the various types of keys and makes obvious recommendations.
Chapter 4 talks about duplicate rows. It's actually an insightful discussion about a serious flaw in many databases designed by amateurs, and the author provides a few possible paths for how to do something that is surprisingly difficult in large tables: getting rid of duplicate rows. A valuable chapter.
Chapter 5 discusses normalization. Good overview, good recommendations.
Chapter 6 discusses entity subtypes and supertypes - essentially, what do you do when you have items to store in a database that have some traits in common but some not in common. The nomenclature was a little confusing. He discusses some oddities in the most recent SQL standard, which mostly went over my head.
Chapter 7 discusses data heirarchies and trees. In a nutshell: there are no trees in SQL. The author is distressed by this.
Chapter 8 covers redundancy, more or less an extension of chapter 4. Good coverage, mostly seems to be common-sense, but then I've seen plenty of databases that lacked this common sense, so perhaps it isn't as common as one would hope.
Chapter 9 is about quota queries, a common task in any database project, and one that usually seems to have exactly one example in any set of documentation. (Not enough!) Some good tips are hidden in here, and it should be helpful to many DBA's.
Chapter 10 covers missing information, the difference in database-land between a field with (say) Yes, No, an empty string, or a null value, which has given everyone who does any sort of database programming problems at one time or another. The author's analysis is sound and useful.
To sum up, it's a decent book covering a wide range of areas pertaining to databases from a scholarly viewpoint. Perhaps it could be compared to Sun Tzu's Art of War - it doesn't really discuss YOUR situation, but it gives a lot of tips, and if you pay attention, you'll probably find something in there that will help you in your present crisis. The author is more of a scholar than a hands-on instructor, but he obviously knows what he's talking about. The book title should probably be "The Zen of Databases" or something like that, though, rather than implying it will be some sort of practical guide to administering SQL Server 7 or anything along those lines. Probably the people who will get the most benefit from it will be DBA's who have learned database administration from the school of hard knocks - learn by doing - but find themselves doing it more often than they would like, and want to get a little book-learning in to help them past the problems they are encountering. Novices won't get a lot out of it because they won't have hit the problems he describes. Experts will already know the solutions he recommends, although they'll probably get something out of it nonetheless.The author has a website, Database Debunking, which has a similar tone to the book. There is also online errata for the book.
Purchase this book at Fatbrain.
Yes, I know it's a textbook, and has maybe entirely useless examples, and is, by definition, too expensive to be entirely practical, but I learned a lot from this book. It's written by not entirely incompetent professors, and has been taught for several years successfully at a few major universities. The chapter layout is nearly exactly the same as the book reviewed above, and it has examples in both SQL and relational algebra for many problems, so you actually get a feel for how you can use one to get better with the other. Just do a google search for 'A First Course in Database Systems' and you'll come up with quite a few class pages that use it, and use it well.
Chapter 2 discusses integrity rules. Integrity constraints are rules that your data should obey - enforcing the rules is the problem. For instance, no two employees should have the same employee number. Essentially, the author's advice boils down to implementing integrity in the database itself rather than via triggers or external logic.
Err triggers are in the database. The declarative RI you get in most DB products is just a convinient trigger creation mechanism under the covers... Of course using declarative RI ensures you get a consistent well trigger...
Special Relativity: The person in the other queue thinks yours is moving faster.
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fat lenny's gonna lick your brain today.
Practical books are good for something like operating system administration, where design mistakes are much more easily corrected. A database design tends to hang around for years, and should be very thoughtfully executed.
Chapter 7 discusses data heirarchies and trees. In a nutshell: there are no trees in SQL. The author is distressed by this.
Given that a foreign key is basically a pointer you can store trees in databases, it might not be pretty and there may not be easy way to read them and it might not be a good thing to do - but if you feel the need then get right in there. Of course I could be totally wrong about this...
Special Relativity: The person in the other queue thinks yours is moving faster.
However, that doesn't mean I know it all. :) The company I work for swears by the application. I've been designing, developing, and maintaining a human resources package for them for the last 1 1/2 years.
Eventually we'll be running the system over a WAN form 8-12 different locations. I know that FileMaker will not cut it for the needs that we have. Maybe as a thin-client. I've been lobbying for a couple of months now for us to use a SQL/XML web based solution that does the same thing. It will lower our costs (one server and no software expenses - we could just use a browser as the interface).
The main location (and possibly one other) are diehard Mac users. So far I've been able to switch our heavy dependednt servers over to linux whether it's on a PPC or Intel machine.
FileMaker is a great program because there is hardly any learning curve at all. However, I don't think it has the power for long range, data intensive applications over a WAN.
Anybody have any ideas as to what might be better?
"Power corrupts. PowerPoint corrupts absolutely."
I've tried to setup several databses, both under Windows and Linux, and have found that many times
it's extremely difficult to setup databases and get them to work correctly. I think some company could benefit from writing some software that would have a very easy point and click, or very simple command line, creat a config file, type of engiene to write a database. And all you would have to do is drag and drop options. Of course, this could also open up another can of worms, in that then anyone and his brother might try to write a databse and succeed, but not know what to do when the databse crashes!
FileMaker Pro Owners
Linux Newbies with MySQL who think that alone makes them a DBA
Microsoft SQL Server Owners. Mandatory Microsoft Dig
Come on.. this book is hardly ground breaking, describes very little which is not basic knowledge. What use could a review of it on a tech website possibly have?
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Video meliora proboque deteriora sequor - Ovidius
Ethics. Anyone who runs a database has an important role in making sure that the data is used only for ethical means. This means that it should not be used for spam, spying, or other illicit purposes.
My databases course actually had a lecture on the legal issues of data protection. It was pointed out in this how and why it is wrong to store data on people without their knowledge or permission. This book doesn't seem to discuss this
I'm not saying that the author is amoral in ommitting this, but I feel that people have a duty to consider how their knowledge is being used, and people need to be reminded about their responsibilities. Not mentioning this when you have an opportunity is simply wrong.
That's the way I feel. Every time someone buys Filemaker Pro or something similar, like Adobe Photoshop/Premiere/Illustrator/Go Live/etc., Macromedia Director, Visual Cafe, or JBuilder, they automatically assume that they are well educated in the topic just by making the purchase. This arrogance must stop before it spreads like a plague (wait a minute, that bum across the street is holding a copy of JBuilder, too late).
"Ancillary does not mean you get to rule the world." --U.S. Circuit Judge Harry Edwards, speaking to the FCC's lawyer
A few years ago I worked at a company that did all their invoices with Filemaker and I had the task of updating the whole thing, both the look and adding/removing data fields. I never had worked with databases but found Filemaker a breeze to work with. Since then, I've learned Access and worked with SQL Server, but sometimes I miss Filemaker. I've considered getting my mother a copy for some database work she needs to do since she'd probably do better with Filemaker than with Access. Filemaker defintely has its place.
I'll have you know that it's a copy of Access. Thank you very much.
Greg
This is a bad idea. I'm aware that point & click, drag & drop GUI interfaces are very tempting to manage such complex systems as a relational database. Let me elaborate:
It gives joe end-user the impression that, hey, it's only a little Access after all. Planning an enterprise database that has to support 100s of users with guaranteed response times and throughput is never an easy task and requires quite some insight into the DB engine. Another issue is that desaster is at your finger tips: Are you sure ...? From using desktop applications we all know how easy it is to just click yes. The yes on such a window might be the sure path to major desaster.
An even worse issue is recoverability. It is a pain in the ass to create the scripts for every single database object, to version control them and to treat them like source code. Let me assure you that when the crap touches the ventilator you thank [whomever you believe in] that you went real slow, conservative and have scripts prepared to recover the db from scratch and re-apply the table data you where barely able to bulk copy from your corrupt database. When you dragged and clicked a bit, I can guarantee you, that there's no way to recover the proper database structure (Hey, but Joe, ran the reverse engineering option in March 98...)
The very, very best Sybase DBA I've ever gotten to know did everything with plain straight forward ascii scripts. It's a system that processes $10'000'000'000.00 of real cash every day. It's up and running since 1996 and if it's down for three days the first companies will file for bankruptcy. It handles up to 9'000'000 bookings a day (each consisting of 8 tpc/c transactions).
This guy never had a bad night since the system is in production.
ich bin der musikant
mit taschenrechner in der hand
kraftwerk
It's never enough to say, here's a review of some cool thing. If it remotely has anything to do with Linux, and appears on Slashdot, one must also issue an arbitrary slam of some related thing that happens not to be GPLed, in this case, FileMaker. FileMaker happens to be very good at what it does. People are moving in droves from Access to FileMaker, which is why FileMaker, Inc.'s financials keep improving. So what if it's not MySQL / Oracle / Postgres / the SQL-flavor-of-the-week? People who need an SQL database usually know they need it, and don't bother to consider low-end solutions.
FileMaker is good for small firms with relatively simple needs (Web storefronts, schools, and the like), because it's cheap, user-maintainable, and allows you to develop your applications rapidly.
Anyone who has ever wondered why some people have to put down Open Source whenever they wax poetic about their favorite commercial solutions, this is why. They're merely reciprocating.
Am I the only one who laughed out loud over this one? :-)
"We are designing a business-to-business application with shoppingcarts, orders, ordelines and other stuff with servlets and JSP.
The java part is clear. But the database... Pff, we are programmers not databasedesigners [sic]. Can anybody give us some help?" --from the Database Debunking site
Hackers and db admins seem to have different ways of thinking. The db admin may make a query where the coder would write a script to scan variables. 2 different ways of thinking that should be mastered, yet they are not always in the same head. Seems like a good team would have both heads in on the application design process. Sheesh. Don't write any code till you have those field names!
Thank you sir, may I have another?
love is just extroverted narcissism
I guess /. is only reviewing purple books from now on. Oh well.
These are all topics I would consider "practical" (I would wonder how well these topics are covered, and if this book is worth purchasing, according to it's dedication to these areas) ...
If by "practical" one means "getting DB2 to integrate with Oracle", that's a vendor-specific issue, and the vendors would be HAPPY to tell you how to do this ... and on this count, the book fails.
But such is not the aim of this book.
"He who questions training trains himself at asking questions." - The Sphinx, Mystery Men (1999)
The hell with that. I use trees everyday with Oracle8. There are also 2 methods for tree queries in PostgreSQL.
It's worth remembering that objects are not stored on disk/ram in tree format - it's a matter of query, or how you view the objects. In C++/Java, a tree is viewed by how a function follows pointers. In SQL, all you need is foreign keys, and connect by (which is sort of a 'ORDER BY :PREVIOUS.PK_ID = :CURRENT.PARENT_ID' - which is obviously not part of SQL92, but simple nonetheless.)
Generating scripts by hand ? Nope. During the years in which you work with RDBs you acquire a tool chest. Mostly shell and perl scripts which are essentially fed some templates and do the job.
The resulting scripts however are regarded as the source, kept up to date and are version controlled. Not that much of a hussle really.
Of course you can usually reverse engineer the databases with most GUI tools. But when was that done last time ? Are all changes applied ? Is it done consequently.
Distributed environments are a good example. There are tools that do the job in the meantime. But, from architecting and designing quite a few distributed systems here's my breakdown on the effort:
Gathering business requirements 20 - 30 %
System Architecture 30 - 40 %
System Design 20%
Setting up object generation infrastructure 10%
Implementing, testing fixing: The rest
The more you invest into the architecture and design the less fixing, debugging, tinkering and praying is applicable. So the part where the gui really helps is minimal. Chances that you seriously fuck up a really complex environment are exorbitant.
ich bin der musikant
mit taschenrechner in der hand
kraftwerk
I am continually surprised by the number of developers I have met who routinely design and implement tables/views/indexes who have no knowledge whatsoever of normalization, etc. Now, some knowledgeable people will take you to task for getting religious about normalizing tables, but these folks don't have enough knowledge to break the rules; they don't even know there are rules.
Do you really want people who work for you to be designing databases on a hunch only? Wouldn't you rather there be some sembelence of real engineering? Granted, even strict adherence to normalization isn't REAL engineering (in the hard-core measure it, prove it, test it kind of way), but it's better than nothing.
Anyway, I'm all for any material which attempts to alleviate this sort of (complete preventable) ignorance. It can only help.
Please mod this post only if you think others should/n't read this. I have enough ego^H^H^Hkarma. Thanks!
A friend of mine wrote the following book Crytography for Visual Basic: A Programmer's Guide to the Microsoft CryptoAPI and got into a fight with his publisher over the name of the book.
While I agree the final name is a bit wordy, it's much more descriptive than the publisher's suggested title: Securing Your Applications -- no reference to VB or Cryptography.
canopener.open
canofworms.load
grindingnoise.sound.play
Ethics. Hmmm, gotta get a bigger can. Ethic value can be situationally/occupationally dependant. I have written databases for conducting surveilance, including connecting such databases into other databases in order to produce capability that the original db's creator didn't foresee, mainly because he did not know what other databases I had.
Now, this is ethical for me: I work in law enforcement. If a friend told me he was stalking his ex and wanted me to write a DB for him to log it, that would not be ethical.
In both cases, a person's privacy is being invaded. In the former, law enforcement is trying to catch criminals. In the latter, a sicko is trying to spy on a private individual who has done no wrong. Both are individuals.
Now, you can argue "for the benefit of society", but then you can bring in Libertarian-esque arguments that everyone is entitled to full privacy.
Where do you draw the line?
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When you sympathize with stupidity, you start thinking like an idiot.
X = { the root node } union { y: y is a child of some node in X }
This is perfectly well-defined; it's just a matter of getting SQL to handle it, as is done in SQL3.
---- "If we have to go on with these damned quantum jumps, then I'm sorry that I ever got involved" - Erwin Schrodinger
sql rdms might be nice, but design is a pain, and the web interface adds many layers of technology that might go wrong.
that said, you could use 4d for that, but what 4d really gives you are cool rad tools and a network client you can fall back on if your browser dreams don't pan out.
i currently develop/administrate a 4d publishing system that is used to publish some 16000 catalog pages per year... yeah, and i too would love migration to oracle and xml and blah-blah, for a chance to cash-in on a consulting gig someday, but i serve editors/writers/art directors well and lord over buckets of code, routinely passing a dozen or more parameters through a chain of methods indirectly via pointer to a blob, this is not filemaker pro! you can code quick and stupid, or commented and clever, with complete control of scope in a multi-processing/multi-user client-server system with an awesome debugger...
uh, the bottom line: you can be a compsci guru and not puke, and then have some confidence the organization won't fall apart when you leave--it just ain't that tough to work with, otoh 4d is not a popular platform.
The methods are a new DB API function db_dfs (depth-first search); and an older tcl-layer fxn which I am unfamiliar with, but I know of its existence. Ask at the above.
How many Fabian Pascals' could there be? I too remember him there. He was smart, and sometimes terribly abusive. One of the previous postings in this thread was from someone who heard him speak. Sounds like Mr. Pascal still has an attitude.
With respect to those concerned, this book was pathetic. Any book that recommends a database written in java running in a JVM isn't worth your time.
Someone you trust is one of us.