How A Lot Memory Is My Program Actually Utilizing

How A lot Memory Is My Program Actually Using? It appears like such a easy query - but digital memory makes measuring real memory use sophisticated. Shared memory is not apportioned per course of utilizing it so it's overstated. Resident memory consists of shared memory, so it overstates as nicely. Virtual memory contains resident memory plus information held in swap, which is not in foremost memory. Luckily until you are running a Linux kernel older than the final financial disaster, you will have a greater possibility: Proportional Set Dimension (PSS)¹. This is the amount of personal memory the process is utilizing, plus its proportional allocation of shared memory. The file lists each memory block mapped to the process, and its properties. You can wrangle the smaps data with shell code, however you don’t must! The smem software does that, and it could possibly filter/format too. Memory ideas generally is a bit abstract, so let’s take a look at an example.



Now what do you suppose the output will show? The baby process receives a copy of its parent’s memory - so has actual memory use doubled? No! The parent and baby share the memory; if the child tries to put in writing to any memory it inherited, the kernel will copy the memory web page for the youngster to put in writing to (this is called copy-on-write). The whole resident memory is 167,280 KB but we know that’s a lie - there’s one large array in memory and both processes are sharing it. The whole PSS of 82,839 KB is more accurate. If my program exits, how much memory may be reclaimed? Whilst Proportional Set Dimension is useful for gauging how a lot memory a process is using, it overstates how much memory can be freed when the process exits as shared memory can't be reclaimed. To measure free-ready memory, use Distinctive Set Dimension (USS); the sum of all memory pages non-public to the process.



Conveniently, smem already studies USS so there’s no need to jot down your individual answer unless you’re curious³. This Bash one liner prints its personal memory statistics by running smem and filtering the output to itself. The USS is 260 KB so I anticipate to free that a lot real memory when it exits. At 341 KB, PSS is eighty one KB higher, and comprised of its proportional share of /bin/bash (already in memory as I’m launching this from a Bash shell), libc and other shared libraries, and the system locales. The Bash program starts faster as by sharing the libraries already in memory, the kernel doesn’t have to copy them to the program’s memory. Additionally, shared memory reduces total memory use. Digital memory complexifies operating techniques nevertheless it has rather a lot of benefits. 1. PSS was created by Matt Mackall - this LWN article has extra information on its origins. Android taking too lengthy to sample large processes’ memory in order to steadiness memory swimming pools. 3. And if you are curious, this neat golang script by Viacheslav Biriukov calculates the Unique Set Measurement for a given PID. The pagemap interface and USS algorithm is described here.



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