MySQL & Open Source Code Quality
dozek writes "Perhaps another rung for the Open Source model of software development, eWeek reports that an independent study of the MySQL source code found it to be "in fact six times better than that of comparable commercial, proprietary code." You can read the eWeek write-up or the actual research paper (reg. required)."
Six times better? I didn't know it was possible to quantify code quality in that matter. Interesting.
"Nature doesn't care how smart you are. You can still be wrong." - Richard Feynman
...until I release my MySQL source code to the open source community. Then that 6x multiplier will drop down to 2x.
Yeah, it's really that bad. Gets the job done, though. Hell to maintain. Probably would've helped if I documented any of it.
Maybe I should read that Code Complete book I keep meaning to read sometime.
Creator of the popular web game Proximity
Perhaps another rung for the Open Source model of software development
Uhh... no.
It's is a glowing report for this particular open source project but that brush shouldn't be used to paint all open source. That will just lull open source developers into a false sense of euphoric contentment. Code quality didn't get this far by having a fixed target, that target should be a carrot on a stick that will never quite be reached.
Trolling is a art,
Undoubtedly()
{
when();
you = measure(quality);
in.defects();
per->lines_of(code, anyone);
can = write(good, solid, code);
}
...they quantified it by dividing verified defects by lines of code. MySQL had 0.09 bugs/KLOC while the "commercial" defect density was 0.53 bugs/KLOC. (Their use of the term "commercial" confused me since MySQL is, after all, a "commercial" project, just an open-source one.)
All's true that is mistrusted
I agree with you that you can't simply measure quality but...
If you just RTFA, you'll see that is not "6 times better" but "6 times less bugs found then the average on commercial products"
The only thing wrong in the article:
They should replace the term "commercial" with "closed source", because Mysql is also a commercial product and what makes it different is the open source model.
As strong proponent of MySQL, I'd be very curious to see how it stacks up in those regards.
Anyone know how this one is faring? Will it ever be released? It's based on GCC, right? How many students can it pass between until it's "distribution"?
The reason I'm asking is because I saw that one member of the team has jumped over to a company called Coverity where one can read:
I just think it'd be horrible if they used the GPL'ed GCC to develop their methods (having access to a full portable compiler onto which to do research and development is hardly a "small thing"), and then lock these same methods away from the community.
I'm grateful for their work on checking linux, but really... this smells bad, IMHO.
(If you don't know what I'm taking about, don't assume it's off-topic, okay? The Standford Checker is a related topic to the Reasoning analysis of MySQL, and I'm not sure we'll ever have a _better_ fitting topic to discuss this)
Belief is the currency of delusion.
I do believe that Open Source is better than proprietory. Faults per 1000 lines of code may seem like a valid scale, but I think it is indicatory at best, not proof.
* It does not take into account the design of the software. This is often as important as the actual quality of the code.
* It does not take into account the kind of errors. This is related to the first, but a buffer overflow that allows root access is worse than a failed instruction.
* It does not even take the length of lines into account. Shortening the lines could lower the number, without actually changing anything.
So, small victory, but the race goes on.
the pun is mightier than the sword
This just looks like some quasi-scientific statement, trying to express things as a number that really don't fit such a representation. For example, as the number of defects decreases, it becomes increasingly more difficult to find the ones that are left. And is code that contains no bugs at all infinitely much better than code that contains a single bug which hardly ever occurs?
The main difference between open and *MOST* closed code is the fact that the early release of closed code means mucho mas money to corporate pigs and dogs, thus, proper requirements analysis, design, coding and testing are usually pummeled in the name of happy-go-lucky capitalism. "It will be ready when it is ready." -Carmack "I love America!" -Murphy
HAD
I'm under the impression that most "bugs" in software (certainly most bugs in my code) aren't bugs like these in the article (null dereferences, uninitialized variables, etc), but they're algorithm bugs. As in, there's a subtle interplay between different parts of complicated algorithms that can be easy for programmers to miss. Those types of bugs are going to be much harder to find, and certainly not going to be found in analysis such as this one.
Since we're measuring Defects per 1000 lines, perhaps calling them "Gates" or "Ballmers" might be more appropriate.
I've used mySQL, Oracle, MS SQL, DB2, and MSDE. I'm not sure I get your comment about MS SQL server. Like any other RDBMS, a little performance tuning goes a long way. As a matter of fact, until Oracle's release of 10g, MS SQL beat all commercial offerings in the TPC benchmarks.
MS has a buggy os and an awful model for business practice, but I think MS SQL server is a fairly nice offering. It's too bad it only runs on Windows servers though.
Saying Android is a family of phones is akin to saying Linux is a family of PCs.
Because there are portions of the MySQL code that are just painful to look at.
Take for instance the part that takes as input the key index size and calculates internal buffer sizes. The option's size is an unsigned long long, but they cast it to an unsigned long all over the place, do in-place bitshifting on the cast (and cause it to wrap -- try specifying 4G for your key index sometime and you'll get 0), and the quality of code in that case is just painfully horrible to look at or even figure out what it's doing.
I could only shudder to think what the quality of the commercial product looked like, in comparison. Hell, I'll have nightmares if I consider the quality of MySQL++ as a comparison..
--jordan
Need a particular reason? Take your pick. http://sql-info.de/mysql/gotchas.html
Up until recently, MySQL had no transaction or atomic operation support. As such, you need to write application code to trap problems. Whereas with Oracle, when you run an atomic operation, you know without certainty whether the query failed in its entirety. I also believe stored procedure support is somewhat lacking in MySQL (however, there is that new Java function support). The MySQL 3 tree does not enforce constraints which is something most essential for data integrity. MySQL does not have subrow locking, whereas enterprise databases do. Once again, MySQL is great. I use it. However, it is not enterprise.
"Nature doesn't care how smart you are. You can still be wrong." - Richard Feynman
"but the Slashdot database regularly becomes confused, such as posting a comment to the wrong story"
That's not the db... around here, we call them "trolls"...
;)
This is proof positive that the marketing engine has started churning in the Linux / Open Source arena. The quoted statistics are meaningless. Here are is a short list of things (in no particular order) that are wrong with this "study" (who paid for it anyway?):
Lines of code is meaningless as a reliable measure of anything. The most this number can be used for is for assessing the high level complexity (i.e. simple, non-trivial, or hard) of an application / code construct. It is absolutely pointless to compare two different applications against each other by lines of code. This means that you can say that one is non-trivial and the other is complex or you can say that both are complex, but there is no valid way of determining (by using this particular metric) that one application is more complex than the other. I believe this is the fundamental flaw in this "study".
The study igores capabilities. If application A has feature a, b, and c, and application B has features a, b, c, d, e, f, g, h , is it even meaningful to compare the number of defects detected between applications A and B? And no - normalizing it by lines of code is not valid (see previous point).
Testing methodology : from the defects quoted in the article, it appears as if they "study" did white box testing on MySQL. This is hardly complete. While null pointer dereferences are certainly terrible, I would be also very very concerned about bugs pertaining to SQL capabilites, data integrity, performance, etc. If I go out and do a comparison of RDBMS's for a client, my report wouldnt be complete at all without covering these areas. How come the "study" doesnt mention any of these things?
Lets face it : this is a paid propaganda article by the marketing machinery. Much like Microsoft has done in the past.
There is no such thing as luck. Luck is nothing but an absence of bad luck.
It is really embarassing to have bad code with your name on it, released to the public.
Not only that, but there is a small percentage of coders when presented with an ugly solution to a problem, will pretty it up, just "because". And it is a good way to get known in the OSS world.
Unlike the corporate world, working but ugly code is hidden deeper and deeper, and people go out of their way to avoid it.
Sorry, but my opinion is pretty strong on this. Going from anything Oracle to MySQL is NOT trivial.
No it doesn't. It "proves" that on average, by line, MySQL has fewer errors in code. It says nothing of the severity of the errors in either package.
Furthermore- MySQL is not even close to being equal in feature set to almost any commercial DB; replication/backup sucks, it's not ACID compliant, it had no transaction support until recently, no stored procedures, no triggers.
How on earth could you possibly compare it to almost any commercial SQL DB which has all these...and say MySQL is better?
A lot of people knew that.
No, every two bit web designer thinks its the greatest thing since sliced bread, since they think a select w/group+sort is an advanced query. Every professional DBA I've met refuses to work with MySQL and/or hates it, and they can go on for an hour about why. When are you people going to realize that PostgreSQL is so much better than MySQL, save some incredibly risky performance options?
MySQL is awesome! But let's be careful about this story, okay? It's the over-generalization that gives OSS/Linux advocates a bad name ("The Gimp is equivalent to Photoshop!").
But you just said "This proves that MySQL is better than commercial offerings!"
Please help metamoderate.
Porting between dbms products depends primarily on two issues:
1. usage of vendor extensions
2. usage of standard relational functionality
Generally speaking, if you've minimized #1 in your application you can easily port between Oracle, DB2, SQL Server, Sybase, Postgesql, etc: sure, you could hit some issues with jdbc drivers, and may need to port a few idioms (partitioning for example), but it shouldn't be a killer. But going from any of the above list to mysql isn't suggested: you'll get hung up on #2 (it doesn't support standard SQL or DDL)
Realistically, if I wanted to go to a less expensive product than oracle I'd look down this list:
- db2 (1/3 to 1/2 oracle cost)
- sybase (cheaper than oracle, but dwindling market share)
- firebird (very low cost)
- postgresql (free)
All of the above are mature relational databases that you could port oracle applications from.
But you mentioned 'mission critical'. At this point I'd be very cautious about either postgesql or mysql in a mission-critical role. How important is it to you that you can recover 100% of your data in the event of a database crash? I'd put my money (and career) on db2 or oracle delivering that kind of quality over mysql...
It does indeed sound a bit like that, and with good reason. If you notice, the "indepedent review" was carried out by Reasoning, Inc., and we've heard of them before in these parts.
For the benefit of those who haven't seen this trollfest^H^H^H^H^H^H^H^H^Hstory in its previous incarnations, Reasoning's services spot what some people call "systematic" errors, things like NULL pointer dereferencing or the use of uninitialised variables. As many people note every time this subject comes up, any smart development team will use a tool like Lint to check their code anyway, as a required step before check-in and/or as a regular, automated check of the entire codebase, and so any smart development team should find all such errors immediately. IOWs, it's grossly unfair to compare open and closed source "code quality" on this basis. Any project that has errors like this in it at all isn't serious about quality, and it shouldn't take an external study to point this out.
Serious code quality is not dictated by how many mechanical errors there are that slip through because of weaknesses in the implementation language. Rather, it is indicated by how many "genuine" logic errors -- cases where the output differs unintentionally from the specifications -- there are. Of course, no automated process can identify those, but to get a meaningful comparison of code quality, you'd need to investigate that aspect, rather than kindergarten mistakes.
There are other objections to their principal metric as well. For starters, source code layout is not normally significant in C, C++ or Java, so any metric based on line count is going to be flawed at best. But the big objection is that they're talking about childish mistakes, and comparing supposedly world class software based on childish mistakes isn't helpful (except to dispel the myth that some big name products have sensible development processes).
If you disagree, post your argument. (-1, Overrated) isn't your personal censorship tool for views you don't like.