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Google Open Sources Its Data Interchange Format
A number of readers have noted Google's open sourcing of their internal data interchange format, called Protocol Buffers (here's the code and the doc). Google elevator statement for Protocol Buffers is "a language-neutral, platform-neutral, extensible way of serializing structured data for use in communications protocols, data storage, and more." It's the way data is formatted to move around inside of Google. Betanews spotlights some of Protocol Buffers' contrasts with XML and IDL, with which it is most comparable. Google's blogger claims, "And, yes, it is very fast — at least an order of magnitude faster than XML."
So is, well, just about anything.
"Google's blogger claims, "And, yes, it is very fast -- at least an order of magnitude faster than XML."
That is just because they aren't using enough XML!
"When life gives you lemons, don't make lemonade. Make life take the lemons back!" -- Cave Johnson
C++
Python
Java
what about PERL ? :]
Go out and write one, sonny!
That's the beauty of open source.
It looks like Google has taken some of the good elements of CORBA and IIOP into its own interchange format.
While CORBA certainly is bloated in a lot of ways, the IIOP wire protocol it uses is vastly faster and more efficient than any XML out there.. and yes it is just as "open" (publicly documented and Freely available for use in any open source application) as any XML schema out there. J2EE uses IIOP as well and its is technically possible to interoperate (although the problem with CORBA is that different implementations never really interoperated as they were supposed to).
As a side note, I'd rather write IDL code than an XML schema any day of the week too, but that's another rant.
both really from the same design sheet, but thrift has been opensource'd for over a year, and has many more language bindings. its been in use in several opensource projects (thrudb comes to mind), and has much more extant articles/documentation.
http://developers.facebook.com/thrift/
"And, yes, it is very fast â" at least an order of magnitude faster than XML."
Just wait for the XML zealots to come crashing and not believing that XML is not the fastest, best, solution to all the world's problems (including cancer) and of course people at Google are amateurs and id10ts and WHY DO YOU HATE XML kind of stuff.
Or, as Joel Spolski once said: http://www.joelonsoftware.com/articles/fog0000000296.html
No, there is nothing wrong with XML per se, except for the fans...
how long until
And as a bonus, they help undermine opponents who use competing technologies by helping train the workforce away from their practices. Overall I think it's very intelligent and well done strategic move.
Oh honey look... How cute... an angry slashdotter!
The point of this isn't so much that it's faster than XML (so is everything else), it's that google took everything that a real person needs in a IDL and cut out everything else. Most IDLs have a serious case of second system effect, where features are added that nobody uses but seriously complicate the API. Even XML suffers from that (have you ever seen the kind of data structure you need to store a DOM, or what that does to library APIs for manipulating XML)?
I'd use it because 95% of the time all I need is something simple like this, and the other 5% of the time I should go back and rethink my design anyway.
That said, there is still a case for XML, especially the self documenting and human readable nature of the document, but there are a lot of cases where it is used today where it only adds unnecessary complexity and actually makes your code more difficult to maintain instead of simpler.
I read the internet for the articles.
According to Brad Fitzpatrick's(of LiveJounral fame) blog, He's working on Perl support.
I always told people that -- it's optimized for:
1. Easy parsing by parsers written by people who slept through their compiler classes.
2. Verification in situations when it's impossible to devise a meaningful reaction to a failure (other than either "everything failed, turn off the computers and go home" and "assume the data to be valid anyway because ALL of it will have the same formatting error because the same program generates it")
3. Dealing with data that arrives in neatly packaged "documents" and "requests", as opposed to being constantly produced and consumed.
4. Either communicating between programs that have the same knowledge of message semantics, or preparation of pretty human-readable documents.
None of the above even remotely applies to anything practical except UI/display formats -- this is why XHTML and ODF (and because of that at some extent XSL) are usable, SOAP is a load of crap, and for the rest of purposes XML is used as a glorified CSL with angle brackets. XML is widespread because monumentally stupid standard is still better than no standard.
So here is your example of how superior can be ANY format that is not based on this stupid idea.
Contrary to the popular belief, there indeed is no God.
They open sourced the compiler (for C++, Java, and Python) that lets you actually use the data interchange format. If you follow the link you can download the code and start using it today. The code is open source.
I read the internet for the articles.
Looks kinda like JSON to me.
This is just yet another way in which Google demonstrates that it is suffering from NIH syndrome. Instead of improving existing tools, they have to go off and re-invent all the bad mistakes of past, including non-relational databases, clunky binary encodings, and a bizarre non-POSIX filesystem.
Just imagine how far we ahead we would be today if Google had put the same effort into creating tools the rest of the SQL-writing, open(2)-using world could use.
Seems like you are missing the code they released that allows you to implement this in a number of languages from the 'get-go'.
You've also missed that they've just told the world how the majority of their systems talk, something most people would find interesting given how much Google does and the fact that one of Google's strong points is mangling huge amounts of data in a relatively quickly manner.
PS. Your format stinks and is horribly slow and unscalable when it comes to adding to the library. Genre's are so unbelievably grey defined that you might as well just sort them by the dominate color of the cover. Google would have done better.
Obviously, those at Google felt XML didn't work well for them. They have the resources to invent a protocol and libraries to support it. And, they are big enough to be their own ecosystem, which means as long as everyone at Google is using their formats, interop is no biggie. Good for them, I don't begrudge that decision.
I'm actually a game developer, not a web developer, so I'll speak to XML's use as a file format in general. Here's a few points regarding our use of XML:
* We only use it as a source format for our tools. XML is far too inefficient and verbose to use in the final game - all our XML data is packed into our own proprietary binary data format. .NET platform (Windows is our development platform, of course). It's astoundingly easy to serialize data structures to XML using .NET libraries - just a few lines of code.
* We also only use it as a meta-data format, not a primary container type. For instance, we store gameplay scripts, audio script, and cinematic meta-data in XML format. We're not foolish enough to store images, sounds, or maps in a highly-verbose, text-based format. XML's value to us is in how well it can glue large pieces of our game together.
* All our latest tools are written in C# and using the
* Because it's a text-based format and human readable, if a file breaks in any way, we can just do a diff in source control to see what changed, and why it's breaking.
I'll make a concession that I've heard of some pretty awful uses of XML. But those who dismiss XML as a valuable tool in the toolchest are equally as foolish as those who believe it's the end-all and be-all of programming (I'm not saying that's true of you, just pointing out foolishness on both sides). Like any tool, it's most valuable when used in it's optimal role, not when shoehorned into projects as a solution to everything.
Irony: Agile development has too much intertia to be abandoned now.
Perl is to programming languages what English is to natural languages: easy to fool around with, hard to learn well, but when you do, the expressive power is incredible. And when you mess it up, nobody understands what you're trying to say.
You think? Take BigTable. Wikipedia describes it as: '"a sparse, distributed multi-dimensional sorted map", sharing characteristics of both row-oriented and column-oriented databases'. Sounds, to me, like a specialized solution to a very specialized problem, a problem that, I presume, didn't fit with any existing solution. Same goes with GFS. After all, do you really think they didn't evaluate existing solutions before embarking on building an entirely new distributed filesystem? Do you really think they're that stupid?
As for Protocol Buffers, given the existing solutions out there (such as ASN.1 and CORBA) are generally ugly and/or over-engineered, it sounds to me like they're simply addressing a gap in the industry... after all, XML and SOAP aren't the end-all and be-all of generic object-passing protocols.
I dont think its NIH syndrome. They no doubt tested other solutions before doing their own thing.
Dont forget this code is in widespread use and works very well. Googles server farm aint exactly small and the load they see is probably second to none.
A couple of percents of better efficiency for Google probably means millions in saved costs. Tossing a couple of months on development on something like this is money well spent.
I guess if all you have is SQL everything is a SQL SELECT no matter what you want to achieve.
HTTP/1.1 400
We wanted to give an idea of the speed without trying to boast too much or look like we were directly challenging anyone. Of course every news outlet has chosen to highlight the speed comment -- including the numbers which were intended to be ballpark figures -- more than was intended, but I guess that isn't surprising.
I agree that the tiny "person" example is not a good benchmark case. It was intended as a usage example, not a speed example, but I stuck the speed numbers in there just meaning to give people a vague idea of the difference. The "20-100 times faster" comment is based on testing a variety of formats -- both unrealistic ones and real-life formats used in our search pipeline -- against programmatically generated XML equivalents (which may or may not themselves be realistic, though they contain the same data with the same structure). libxml2 was used for parsing XML. I don't really know how libxml2's speed compares to other XML parsers, but I didn't have a lot of time to investigate. The 20x faster number comes from the largest data set (~100k-ish) while the 100x number comes from a very small message. The most realistic case was about 50x. Sorry that I cannot provide exact details of the benchmark setup since many of the test cases were proprietary internal formats.
In any case, I'm hoping that some independent source conducts some tests because I think anything we produced would probably have unintentional biases in it. Of course, I'll update the numbers in the docs if they turn out to be wildly off-base.
If Google had tried to build their system on relational databases, XDR, and NFS, they would have spent huge amounts of money and spent lots of time trying to shoehorn their software into those constraints. And it's not just Google that did this: Amazon did the same thing, with their SimpleDB, S3, and SQS.
The actual mistakes were relational databases, XML, and distributed POSIX file systems; all of those were systems designed by people with too much time on their hand and no real-world, large scale problems to solve. Finally, those mistakes are getting corrected, at least when it comes to high-end computing. At the low end, I suppose people will continue to tinker around with those toys.
You think it's a "mistake of the past" that Google wrote things like GFS and BigTable that run on commodity hardware, scale basically horizontally (eg. you can just throw machines at the problem) and survive machine failures without human intervention?
You don't "improve" on an existing tool like a relational database by adding a "feature" like fault tolerance. You have to redesign from the base up with those assumptions.
Just imagine how far we ahead we would be today if Google had put the same effort into creating tools the rest of the SQL-writing, open(2)-using world could use.
We wouldn't be ahead at all. We use different tools than they do because they are dealing with different volumes of traffic, data and demands. Let's take a moment and look at your specific complaints. You say Google suffers from NIH syndrome. Having previously worked at Google, I think you are half right. The difference is that Google both benefits _and_ suffers from NIH syndrome. Sometimes the company spends too much time reinventing the wheel, but sometimes the tools out there aren't (and shouldn't be) useful to Google. Apache shouldn't be changed to support the kind of traffic that Google handles because then it wouldn't nearly as good for all of the rest of the world. General software is great because it solves so many problems. However, general software isn't the right solution for all problems, especially extreme ones. Just about all of Google's needs are extreme ones due to the volume of traffic. You dislike the idea of BigTable. Why not use the right tool for the right job? BigTable is a ridiculously fast database system that works beautifully with petabyte sized databases. SQL isn't the right answer to all solutions. They DO use SQL... but when it is the appropriate solution. They have some really sexy internal tools for dealing with SQL and such and I'm hoping those are coming down the open source pipeline soon. :)
You claim the Protocol Buffers are clunky. I've used them and developed with them extensively. They aren't clunky at all, they are actually quite elegant and easy to use. They streamline development, are incredibly reliable, and are incredibly fast.
You obviously are confused by GFS as well. The system is transparent to the application by using standard i/o stream classes. It is inherently redundant to ensure data security. It is so fast in its response time that Google search is the fastest of any major player. The list goes on and on.
I don't really see how you can be upset at Google for making awesome software and then giving us access to it.