Bugs item #849662, was opened at 2003-11-26 09:06
Message generated for change (Settings changed) made by rhettinger
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Category: Extension Modules
Group: Python 2.3
Status: Open
Resolution: None
Priority: 5
Submitted By: Gottfried Ganßauge (ganssauge)
>Assigned to: Nobody/Anonymous (nobody)
Summary: reading shelves is really slow
Initial Comment:
My application uses a shelve-file which is created by
another process using the same python version.
Before python2.3 using this shelve with the exact same
application was almost twice as fast as a binary pickle
containing the same data.
Now with python2.3 the same application is suddenly
about 150 times slower than using the binary pickle.
The usage is as follows:
idx_dict = shelve.open (idx_dict_name, "r")
...
while not infile.eof:
index = get_index_from_somewhere_else()
if not idx_dict.has_key (index):
do_something(index)
else:
do_something_else(index)
idx.dict.close()
Profiling revealed that most of the time is spent within
userdict.
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Comment By: Raymond Hettinger (rhettinger)
Date: 2003-12-07 06:55
Message:
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I fixed-up your particular problem for Py2.3.3 and Py2.4.
Leaving the report open because there are other calls which
have performance issues.
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Comment By: Raymond Hettinger (rhettinger)
Date: 2003-11-28 16:57
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Yes, that was the culprit.
I'll look for a way to make __cmp__ a bit smarter. In the
meantime, the proper way to check for None is always: if
dict is None.
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Comment By: Gottfried Ganßauge (ganssauge)
Date: 2003-11-28 11:01
Message:
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I think I found the answer:
apart from has_key() I'm using "dict != None".
If I leave that out in my test program both python variants
run with the same speed.
The dict != None condition seems to trigger len(dict.keys())
and that seems to be way slower than before.
I definitely didn't time different scripts: the script is part of
our CDROM production system and the only variables I had
during my tests were python itself and the python path.
Find my test script attached...
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Comment By: Raymond Hettinger (rhettinger)
Date: 2003-11-27 12:55
Message:
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The fragment in the original posting showed the only
inner-loop shelve access was through has_key(). The
tracebacks show that UserDict is nowhere in the traceback
chain. I conclude that the fragment does not represent what
is really going on in the problematic script. So, please
attach the profiled script, Konvertierung/entsch_pass2.py
The attached profile indicates that somewhere, there is a
line like: for k,v in idx_dict.iteritems(). This is
surprising because shelves did not support iteritems() in
Py2.2. That would be mean that you've timed and compared
two different pieces of code.
Please show the shortest script with data that runs at
radically different speeds on Py2.2 vs Py2.3.
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Comment By: Gottfried Ganßauge (ganssauge)
Date: 2003-11-27 05:42
Message:
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What the heck ... here is the shelve in question
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Comment By: Gottfried Ganßauge (ganssauge)
Date: 2003-11-27 05:32
Message:
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I uploaded my profiling data, maybe it will help you ...
Here is the information you requested:
----------------><------------------------><------------
([EMAIL PROTECTED] 534)
PYTHONPATH=../../../COMMON.DEVEL/Tools/python/lib.linux-
i686-2.3 python Konvertierung/entsch_pass2.py HI69228 x HR
all_idx2.shelve <hi69228.sgml
Traceback (most recent call last):
File "Konvertierung/entsch_pass2.py", line 1026, in ?
init_idx_dict (idx_dict_name)
File "../../COMMON/lib/EDB.py", line 54, in init_idx_dict
idx_dict.has_key([])
File "/usr/lib/python2.3/shelve.py", line 104, in has_key
return self.dict.has_key(key)
File "/usr/lib/python2.3/bsddb/__init__.py", line 142, in
has_key
return self.db.has_key(key)
TypeError: String or Integer object expected for key, list found
([EMAIL PROTECTED] 535)
PYTHONPATH=../../../COMMON.DEVEL/Tools/python/lib.linux-
i686-2.2 python2.2 Konvertierung/entsch_pass2.py HI69228 x
HR all_idx2.shelve <hi69228.sgml
Traceback (most recent call last):
File "Konvertierung/entsch_pass2.py", line 1026, in ?
init_idx_dict (idx_dict_name)
File "../../COMMON/lib/EDB.py", line 54, in init_idx_dict
idx_dict.has_key([])
File "/usr/lib/python2.2/shelve.py", line 62, in has_key
return self.dict.has_key(key)
TypeError: key type must be string
([EMAIL PROTECTED] 536) python -V
Python 2.3.2
([EMAIL PROTECTED] 537) python2.2 -V
Python 2.2.3
([EMAIL PROTECTED] 538) uname -a
Linux gglinux 2.4.22 #1 SMP Mon Nov 3 11:40:28 CET 2003
i686 unknown unknown GNU/Linux
([EMAIL PROTECTED] 538) cat /etc/debian_version
testing/unstable
([EMAIL PROTECTED] 539) python2.2 -c 'import shelve ; d =
shelve.open("all_idx2.shelve", "r"); print len (d.keys()) ;
print
d.keys()[0], d [d.keys()[0]]'
34983
HI568817 None
([EMAIL PROTECTED] 540) python2.3 -c 'import shelve ; d =
shelve.open("all_idx2.shelve", "r"); print "# items in
shelve:",
len (d.keys()) ; print "Items look like: index", d.keys()
[0], "value", d [d.keys()[0]]'
# items in shelve: 34983
Items look like: index HI568817 value None
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Comment By: Raymond Hettinger (rhettinger)
Date: 2003-11-27 04:17
Message:
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I can reproduce a four-fold slowdown that persists even
after the UserDict.DictMixin lines are commented out of
shelve.py and bsddb.__init__.py. For me, the only thing
that has changed is the underlying bsddb implementation.
Let's see if you system is going somewhere else to get its
shelving done. After the first line, add: idx_dict.has_key
([])
Then post the traceback here.
Do that for both Py2.2 and for Py2.3. Thank you.
Also, post what a typical record in the index and tell me
how many entries are typically in idx_dict. That way, I can
try to reproduce your timings with greater fidelity.
Which os are you using and what the minor bugfix verion
numbers of the Py2.2 and PY2.3 you are using.
----------------------------------------------------------------------
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