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PostgreSQL vs. MySQL comparison
prostoalex writes "Ever find yourself wondering which open source database is the best tool for the job? Well, wonder no more, and let your tax dollars do the work in the form of Fermi National Accelerator Laboratory publishing this unbiased review of MySQL vs. PostgreSQL. After reading it, however, it seems that MySQL ranks the same or better on most of the accounts." My poor sleepy eyes misread the date of posting on here; caveat that this is more then 15 months old.
Foreign keys are more than nice, they are essential. Unless, maybe you don't care about the integrity of your data or want to make the necessary checks in their application. The latter should keep their eyes down and their mouth shut if the talk is about 'speed' of any rdbms, off course.
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Bingo!
It doesn't cease to amaze me, when the Mysql croud argues that "you don't really need those pesky integrity stuff, it just slows down the database."
Guess what guys; You're dead wrong!
Any DBA worth his salary will enforce data integrity on the lowest possible level, which means constraints (however implemented) on the object level.
Sure, you can let your coders in Bengaluru ensure that the primary key is unique instead of just applying a unique index and the same goes for referential constraints between tables. You can implement them in the application just fine until somebody overlooks some minor detail in the code and you're royally fucked!
Again! Foreign keys or triggers are not "niceties". They are essential in implementing an industry strength database; period!
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Actually it shouldn't (in this context). Typically, one database will have several client applications attached to it. If data consistency is not checked at DB level, then:
Well, I sure hope you never work on anything serious.
The database's function is to provide a RELIABLE storage for your data. Part of the whole reliability thing is making sure crap can't get in, because once it's there everything goes to heck.
For instance, let's take a shopping cart. Can an order be for a negative quantity? If your app doesn't work that way (it could, using a negative amount for returns for example), and you still allow it in the DB, then all your reporting goes to heck, as SELECT SUM... now returns the wrong thing.
A proper database is set up in such a way that every piece of data in it makese sense. This means for instance not having things like orders hanging around without in the void without being linked to some client. This is something easily ensured by foreign keys. Otherwise you have an utter mess - the total of the orders in the database doesn't match the sum of the orders of all clients!
If you put your checks in the database, you have a guarantee that when somebody else codes another frontend to it (say, you had a website and now are making a special version for PDAs), if the application does the wrong thing, the database simply won't let it happen. This may cost a bit of speed, but I assure you that peace, your sanity and your ASS (if you have a boss and he's got any sense, he's not going to like it at ALL if it turns out that reports don't match reality, and that reality can't be even easily extracted) is far, far more valuable.
When are you non-database types going to stop saying "Your app should be checking itself anyway."
This is an insanely inneficient method of execution. It's also highly presumptive.
Inneficient: If you are going to insert a record you have to first check to make sure it's not there. Then if it is there you have to change your INSERT to an UPDATE. This is dumb. Some databases do a INSERT OR UPDATE. but if they don't, it's faster to do an INSERT, handle failure, UPDATE. Alternatively -- UPDATE and INSERT on ZERO ROWS CHANGED. This means you have to run less than 2 queries on average. Your app should check method guarantees two SQL statements are executed every single time.
Dumb. Say you check for a record to exist. You get a "NO" answer. While you are preparing and executing your next INSERT, some other process or a thread inserts that same record into the databse. Now you have an error and you still don't know what to do. In short, you're in a pretty bad way.
Presumptive. In all my years of living I've never seen any company happy with the only interface to the data being through the application interface. Especially with a database on the back end. The business types, Marketing in partitular, love to screw with database information to try and identify trends, patterns, and correlations between the customer behaviour, product representation, and sales metrics. It is presumptive that the application can safely contain all of the business logic and you can assume that no one will ever come in the back end and change something -- thereby breaking all your business rules.
The other consideration is that the business logic contained in a database is going to run a heck of a lot faster on the database than anything you can dream up in your application, unless the application is written in C. Databases are generally written in C/C++. Applications are generally written in Java,Perl,Python,Ruby. None of these can compete with C. Add to that the fact that databases have been designed for years to do only one thing -- manage data. Do you seriously think you can out perform a decade of database optimization in a ruby script?
If you are going to base an application on data it would be useful to know how to capitalize on the features of a database rather than trying to repeat it. At the very least, you are less likely to introduce bugs.
Additionally, databases generally can do this faster than the application code. I can say this because databases are written in C and optimized and debugged for years. Applications are rarely (relatively) written in C and have not been debugged for years when released.
This is something that actually really pisses me off about Ruby, Rails, and ActiveRecord. ActiveRecord is an insane violation of everything that a database has been built to do. It breaks consistency, violates keys, ignores so many rules... And it's beats the crap out of a database to do what a database is designed to do and can handle much faster.
This is regardless of the flame wars of Postgres vs MySQL.