Large Dictionaries
Aahz
aahz at pythoncraft.com
Mon May 15 12:51:50 EDT 2006
In article <roy-765731.09112115052006 at reader1.panix.com>,
Roy Smith <roy at panix.com> wrote:
>In article <1147699064.107490 at teuthos>, Chris Foote <chris at foote.com.au>
>wrote:
>>
>> I have the need to store a large (10M) number of keys in a hash table,
>> based on a tuple of (long_integer, integer). The standard python
>> dictionary works well for small numbers of keys, but starts to
>> perform badly for me inserting roughly 5M keys:
>>
>> # keys dictionary metakit (both using psyco)
>> ------ ---------- -------
>> 1M 8.8s 22.2s
>> 2M 24.0s 43.7s
>> 5M 115.3s 105.4s
>
>Are those clock times or CPU times?
And what are these times measuring? Don't forget that adding keys
requires resizing the dict, which is a moderately expensive operation.
Once the dict is constructed, lookup times should be quite good.
--
Aahz (aahz at pythoncraft.com) <*> http://www.pythoncraft.com/
"I saw `cout' being shifted "Hello world" times to the left and stopped
right there." --Steve Gonedes
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