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FreeBSD support #4

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giampaolo opened this issue May 23, 2014 · 7 comments
Closed

FreeBSD support #4

giampaolo opened this issue May 23, 2014 · 7 comments

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@giampaolo
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From [email protected] on January 27, 2009 04:50:19

Even though not high priority FreeBSD support would be nice to offer.

Original issue: http://code.google.com/p/psutil/issues/detail?id=4

@giampaolo giampaolo self-assigned this May 23, 2014
@giampaolo
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From [email protected] on February 23, 2009 05:23:32

Installed FreeBSD 7.1, started work on this. It looks like sysctl's kinfo_proc
structures on FreeBSD are subtly different than OS X so it will require a separate
but very similar codebase after all.

Status: Started
Owner: jloden

@giampaolo
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From [email protected] on February 23, 2009 06:18:16

Unless it won't take too long to implement I would set 0.1.3 milestone for this one.

@giampaolo
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From [email protected] on February 23, 2009 09:49:02

Labels: -Component-Library

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From [email protected] on February 25, 2009 00:30:05

Implemented in r168 .

Status: Verified

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From [email protected] on March 06, 2009 07:14:03

Labels: Milestone-0.1.1

@giampaolo
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From [email protected] on March 17, 2009 08:31:19

Status: Fixed

@giampaolo
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From g.rodola on March 02, 2013 03:36:08

Updated csets after the SVN -> Mercurial migration: r168 == revision 5f7c3aee0186

giampaolo added a commit that referenced this issue May 12, 2020
Preamble
=======

We have a [memory leak test suite](https://github.com/giampaolo/psutil/blob/e1ea2bccf8aea404dca0f79398f36f37217c45f6/psutil/tests/__init__.py#L897), which calls a function many times and fails if the process memory increased. We do this in order to detect missing `free()` or `Py_DECREF` calls in the C modules. When we do, then we have a memory leak.

The problem
==========

A problem we've been having for probably over 10 years, is the false positives. That's because the memory fluctuates. Sometimes it may increase (or even decrease!) due to how the OS handles memory, the Python's garbage collector, the fact that RSS is an approximation and who knows what else. So thus far we tried to compensate that by using the following logic:
- warmup (call fun 10 times)
- call the function many times (1000)
- if memory increased before/after calling function 1000 times, then keep calling it for another 3 secs
- if it still increased at all (> 0) then fail

This logic didn't really solve the problem, as we still had occasional false positives, especially lately on FreeBSD. 

The solution
=========

This PR changes the internal algorithm so that in case of failure (mem > 0 after calling fun() N times) we retry the test for up to 5 times, increasing N (repetitions) each time, so we consider it a failure only if the memory **keeps increasing** between runs. So for instance, here's a legitimate failure:

```
psutil.tests.test_memory_leaks.TestModuleFunctionsLeaks.test_disk_partitions ... 
Run #1: extra-mem=696.0K, per-call=3.5K, calls=200
Run #2: extra-mem=1.4M, per-call=3.5K, calls=400
Run #3: extra-mem=2.1M, per-call=3.5K, calls=600
Run #4: extra-mem=2.7M, per-call=3.5K, calls=800
Run #5: extra-mem=3.4M, per-call=3.5K, calls=1000
FAIL
```

If, on the other hand, the memory increased on one run (say 200 calls) but decreased on the next run (say 400 calls), then it clearly means it's a false positive, because memory consumption may be > 0 on second run, but if it's lower than the previous run with less repetitions, then it cannot possibly represent a leak (just a fluctuation):

```
psutil.tests.test_memory_leaks.TestModuleFunctionsLeaks.test_net_connections ... 
Run #1: extra-mem=568.0K, per-call=2.8K, calls=200
Run #2: extra-mem=24.0K, per-call=61.4B, calls=400
OK
```

Note about mallinfo()
================

Aka #1275. `mallinfo()` on Linux is supposed to provide memory metrics about how many bytes gets allocated on the heap by `malloc()`, so it's supposed to be way more precise than RSS and also [USS](http://grodola.blogspot.com/2016/02/psutil-4-real-process-memory-and-environ.html). In another branch were I exposed it, I verified that fluctuations still occur even when using `mallinfo()` though, despite less often. So that means even `mallinfo()` would not grant 100% stability.
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