But we also have a dedicated set of amateur plugin developers - whether they had programming experience before as hobbyists, or learned C to take their add-ons to the next level, this group is very dedicated, but doesn't have the years of professional experience to draw on.
If you're in that second group, this post is for you. Explaining how to performance tune code is well beyond the scope of a blog post, but I do want to address some fundamental ideas.
I receive a number of questions about plugin performance (to which the answer is always "that's not going to cause a performance problem"). It is understandable that programmers would be concerned about performance; X-Plane is a high performance environment, and a plugin that wrecks that will be rejected by users. But how do you go from worrying about performance to fixing it?
Measure, Measure, Measure, Measure.
If I had to go crazy and recite a sweaty and embarrassing mantra about performance tuning so that I could be humiliated on YouTube it would go: measure, measure, measure, measure.
If you want your plugin to be fast, the single most important thing to know is: you have to find performance problems by measurement, not by speculation, guessing or logic.
If you are unfamiliar with a problem domain (which means you are writing new code or a new algorithm - that is, doing something interesting), there is no way you are going to make a good guess as to where a performance problem is.
If you have a ton of experience in a domain, you still shouldn't be guessing! After 5 years of working on X-Plane, I can make some good guesses as to where performance problems should be. But I only use those guesses to search in the likely places first! Even with good guesses, I rely on measurement and observation to make sure my guess wasn't stupid. And even after 5 years of working on the rendering engine, my guesses are wrong more often than they are right. That's just how performance tuning is: it's really hard for us to guess where a performance problem might be.*
Fortunately, the most important thing to do, measuring real performance problems, is also the easiest, and requires no special tools. The number one way to check performance: remove the code in question! Simply remove your plugin and compare frame-rate. If removing the plugin does not improve fps, your plugin is not hurting fps.
It is very, very important to make frame-rate comparison measurements under equal conditions. If you measure with your plugin in the ocean and without your plugin at LOWI, the results are meaningless. Here's a trick I use in X-Plane all the time: I set my new code to run only if the mouse is on the right half of the screen. That way I can be sitting at a fixed location, with the camera not moving, and by mousing around, I can very rapidly compare "with code", "without code". The camera doesn't move, the flight model is doing the same thing - I have isolated just the routine in question. You can do the same thing in your plugin.
Understand Setup Vs. Execution
This is just a rule of thumb, and you cannot use this rule instead of measuring. But generally: libraries are organized so that "execution" code (doing stuff) is fast, while setup and cleanup code may not be. The SDK is definitely in this category. To give a few examples:
- Drawing with a texture in OpenGL is very fast. Loading up a texture is not fast.
- Reading a dataref is fast. Finding a dataref is not as fast.
- Opening a file is usually slower than reading a file.
- You can run a flight loop per frame without performance problems. But you should only register it once.
Math And Logic Is Fast
Modern computers are astoundingly fast. If you are worried that doing a slightly more complex calculation will hurt frame-rate, don't be. One of the most common questions about performance I get is: will my systems code slow down X-Plane. It probably won't - the things you calculate in systems logic are trivial in computer-terms. (But - always measure, don't just read my blog post!)
In order to have slow code you basically need one of two things:
- A loop. Once you start doing some math multiple times, it can add up. Adding numbers is fast. Adding numbers 4,000,000,000 times is not fast. It only takes one for-loop to make fast code slow.
- A sub-routine. The subroutine could be doing anything, including a loop. Once you start calling other people's code, your code might get slow.
Fortunately, you don't need to know. You need to measure!
SDK Callbacks Are Fast (Enough)
The SDK's XPLM library serves as a mediator between plugins and X-Plane. Fortunately, the mediation infrastructure is reasonably fast. Mediation includes things like requesting a dataref from another plugin, or firing off a draw callback. This "callback" overhead contains no loops internally, and thus it is fast enough that you won't have performance problems doing it correctly. One draw callback that runs every frame? Not a performance problem. Read a dataref? Not a performance problem. (Read a dataref 4,000,000 times inside a for-loop...well, that can be slow, as can anything!)
However you should be aware that some plugin routines "do work". For example, XPLMDrawObject doesn't just do mediation (into X-Plane), it actually draws the object. Calls that do "real work" do have the potential to be slower.
Be ware of one exception: a dataref read looks to you like a request for data. But really it happens in two parts. First the SDK makes a call into the other plugin that provides the data (often but not always X-Plane itself) and then that other plugin comes up with the data. So whenI say "dataref reads are fast" what I really mean is: the part of a dataref read that the SDK takes care of is fast. If the dataref read goes into a badly written plugin, the read could be very, very slow. All of the datarefs inside X-Plane vary from fast to very fast, but if you are reading data from another plugin, all bets are off.
Of course, all bets are off anyway. Did I mention you have to measure?
* Why can't we guess? The answer is: abstraction. Basically well structured code uses libraries, functions, etc. to hide implementation and make the computer seem easier to work with. But because many challenging problems are hidden from view (which is a good thing) it's hard to know how much real work is being done inside the black box. Build a black box out of black boxes, then do it again a few time, and the information about how fast a function is has been obscured several times over!
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