"Gabriel Genellina" <gagsl-...@yahoo.com.ar> writes:
> En Wed, 07 Apr 2010 18:44:39 -0300, Nikolaus Rath <nikol...@rath.org>
> escribió:
>
>> def check_s3_refcounts():
>> """Check s3 object reference counts"""
>>
>> global found_errors
>> log.info('Checking S3 object reference counts...')
>>
>> for (key, refcount) in conn.query("SELECT id, refcount FROM
>> s3_objects"):
>>
>> refcount2 = conn.get_val("SELECT COUNT(inode) FROM blocks
>> WHERE s3key=?",
>> (key,))
>> if refcount != refcount2:
>> log_error("S3 object %s has invalid refcount, setting
>> from %d to %d",
>> key, refcount, refcount2)
>> found_errors = True
>> if refcount2 != 0:
>> conn.execute("UPDATE s3_objects SET refcount=? WHERE
>> id=?",
>> (refcount2, key))
>> else:
>> # Orphaned object will be picked up by check_keylist
>> conn.execute('DELETE FROM s3_objects WHERE id=?', (key,))
>>
>> When I ran cProfile.Profile().runcall() on it, I got the following
>> result:
>>
>> ncalls tottime percall cumtime percall filename:lineno(function)
>> 1 7639.962 7639.962 7640.269 7640.269
>> fsck.py:270(check_s3_refcounts)
>>
>> So according to the profiler, the entire 7639 seconds where spent
>> executing the function itself.
>>
>> How is this possible? I really don't see how the above function can
>> consume any CPU time without spending it in one of the called
>> sub-functions.
>
> Is the conn object implemented as a C extension?
No, it's pure Python.
> The profiler does not
> detect calls to C functions, I think.
Hmm. Isn't this a C function?
26 2.317 0.089 2.317 0.089 {method 'execute' of
'apsw.Cursor' objects}
> You may be interested in this package by Robert Kern:
> http://pypi.python.org/pypi/line_profiler
> "Line-by-line profiler.
> line_profiler will profile the time individual lines of code take to
> execute."
That looks interesting nevertheless, thanks!
-Nikolaus
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