In general, on ucLinux, is ioctl faster than writing to /sys filesystem?
I have an embedded system I'm working with, and it currently uses the sysfs to control certain features.
However, there is function that we would like to speed up, if possible.
I discovered that this subsystem also supports and ioctl interface, but before rewriting the code, I decided to search to see which is a faster interface (on ucLinux) in general: sysfs or ioctl.
Does anybody understand both implementations well enough to give me a rough idea of the difference in overhead for each? I'm looking for generic info, such as "ioctl is faster because you've removed the file layer from the function calls". Or "they are roughly the same because sysfs has a very simple interface".
Update 10/24/2013:
The specific case I'm currently doing is as follows:
int fd = open("/sys/power/state",O_WRONLY);
write( fd, "standby", 7 );
close( fd );
In kernel/power/main.c, the code that handles this write looks like:
static ssize_t state_store(struct kobject *kobj, struct kobj_attribute *attr,
const char *buf, size_t n)
{
#ifdef CONFIG_SUSPEND
suspend_state_t state = PM_SUSPEND_STANDBY;
const char * const *s;
#endif
char *p;
int len;
int error = -EINVAL;
p = memchr(buf, 'n', n);
len = p ? p - buf : n;
/* First, check if we are requested to hibernate */
if (len == 7 && !strncmp(buf, "standby", len)) {
error = enter_standby();
goto Exit;
((( snip )))
Can this be sped up by moving to a custom ioctl() where the code to handle the ioctl call looks something like:
case SNAPSHOT_STANDBY:
if (!data->frozen) {
error = -EPERM;
break;
}
error = enter_standby();
break;
(so the ioctl() calls the same low-level function that the sysfs function did).
If by sysfs you mean the sysfs() library call, notice this in man 2 sysfs :
NOTES
This System-V derived system call is obsolete; don't use it. On systems with /proc, the same information can be obtained via /proc/filesystems; use that interface instead.
I can't recall noticing stuff that had an ioctl() and a sysfs interface, but probably they exist. I'd use the proc or sys handle anyway, since that tends to be less cryptic and more flexible.
If by sysfs you mean accessing files in /sys , that's the preferred method.
I'm looking for generic info, such as "ioctl is faster because you've removed the file layer from the function calls".
Accessing procfs or sysfs files does not entail an I/O bottleneck because they are not real files -- they are kernel interfaces. So no, accessing this stuff through "the file layer" does not affect performance. This is a not uncommon misconception in linux systems programming, I think. Programmers can be squeamish about system calls that aren't well, system calls, and paranoid that opening a file will be somehow slower. Of course, file I/O in the ABI is just system calls anyway. What makes a normal (disk) file read slow is not the calls to open, read, write, whatever, it's the hardware bottleneck.
I always use low level descriptor based functions ( open() , read() ) instead of high level streams when doing this because at some point some experience led me to believe they were more reliable for this specifically (reading from /proc ). I can't say whether that's definitively true.
So, the question was interesting, I built a couple of modules, one for ioctl and one for sysfs, the ioctl implementing only a 4 bytes copy_from_user and nothing more, and the sysfs having nothing in its write interface.
Then a couple of userspace test up to 1 million iterations, here the results:
time ./sysfs /sys/kernel/kobject_example/bar
real 0m0.427s
user 0m0.056s
sys 0m0.368s
time ./ioctl /run/temp
real 0m0.236s
user 0m0.060s
sys 0m0.172s
edit
I agree with @goldilocks answer, HW is the real bottleneck, in a Linux environment with a well written driver choosing ioctl or sysfs doesn't make a big difference, but if you are using uClinux probably in your HW even few cpu cycles can make a difference.
The test I've done is for Linux not uClinux and it never wanted to be an absolute reference profiling the two interfaces, my point is that you can write a book about how fast is one or another but only testing will let you know, took me few minutes to setup the thing.
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