Fans of this will probably also like Joe Celko's SQL for Smarties. ISBN: 0123693799
It's unfortunate that a lot of new programmers are relying on their framework's ORM to abstract the SQL away from them, weakening their understanding of it.
Actually, most askers (both on Stack Overflow and on the site) are either the ORM developers or the people who need to deal with huge volumes of data (financial reports etc).
As with every other abstracting tool, it's perfectly OK to rely on an ORM — as long as you know which load can it handle and under which carpet the service hatch is.
I think that's a little unfair to people using ORMs. Obviously I'd hope people don't want to avoid knowledge, but I'll be damned if I want to write SQL, it's not fun for me. That being said I contribute to the ORM of my framework of choice, if I write the solution to my problem once I'll never have to do it again. I think it's a bit like complaining that C programs are trying to abstract away assembly. Yes they are, but as long as they have some level understanding of how machines work they'll be ok, and a hell of a lot more productive.
Personally I don't get ORM's. May be it's because the only I have had to deal with was Hibernate, and seemed to me as an innecesary layer of complexity and bloat, and objects and relations sometimes doesn't map nicely. If you want to persist objects, use an object datastore in the first place, not a relational one.
And, what's wrong with SQL? It's simple, powerful, widely known and deployed, and cool(declarative programming, dude!).
I've read a some introductory examples about distinct ORM's and just don't get it. Where's the gain? Apart from database independence(which I don't think it's even desirable in most cases, may be Tom Kyte's books have brainwashed me irremediably), can't see one. How an ORM makes you more productive?
I like this style better than SQL for Smarties. Celko tries to stick with the ANSI standard, which is fine, but I much to prefer to know how to get the most out of each platform.
Like here, http://explainextended.com/2009/09/, he covers adjacency list vs. nested sets on MySQL, Postgres, Oracle and SQL Server. Different platforms, different optimal solutions. The man knows his database internals.
I'm good enough at SQL to know about normal forms and how to write recursive queries.
I also know that there is very little value in me writing a new set of CRUD queries for a low-load site when someone else has written a well-debugged interface for me.
Maintaining a model feature in three places, the SQL, the class and a manual mapping, violates the basic principles of database modelling (store facts once), at the meta level (rather than the data level).
ORM is a flawed attempt to remedy this. It is flawed because client/server sql databases create a distributed system, and distribution is hard to abstract away.
Other solutions solution are to ditch the SQL model (something like bigtable, db4o or Gemstone?), or to ditch the object model (something like PHP or Access?).
It's an excellent cookbook of useful SQL queries with well written explanations. I've used SQL for decades, but after reading a few articles, it was obvious that I could learn some new tricks. The articles are bite sized an tasty.
Sorry, it is wrong. SQL is not baſed on ſets, but bags, which are quite different and more complicated. And, by the way, CTEs are a feature of ISO SQL, not only of MS SQL Server.
Finally, entity‐relationſhip is not terribly practical as a model, but as diagrammiŋ.
(It’s off-topic, but why the long esses and engs? The latter are not letters in English, and the former haven’t really been used in at least a century.)
This is true, SQL does not require everything to be a set, strictly speaking, but internally many platforms append a unique row identifier to bags, so that they can be processed as sets.
I often wish platforms would expose their internal calculus in a separate syntax, so we wouldn't have to work through the SQL translation layer. Algebraic operators would be nice too.
Do you have any thoughts about why there has been no challenge to the SQL syntax? We can easily imagine notations based on relational algebra and relational calculus emerging that could be interpreted at the same levels of an RDBMS as SQL, yet I've not seen anyone attempt it. A good PhD topic for someone?
