Raphael Collet
9b7a4e1815
Consider a context-dependent field and two possible cache structures for
storing the data of that field for N records and K context keys. The
common use-case is to assume that N is much larger than K. We look at
how many dicts are used in each cache structure, where we label dicts
with N entries as "large", and dicts with K entries as "small".
Structure | Number of dicts
---------------------------+-------------------
cache[field][id][key] | 1 large + N small
cache[field][key][id] | 1 small + K large
It is known that "small" dicts have a large relative overhead when
compared to "large" dicts. Given this fact, the second cache structure
will generate less memory overhead. Here are numbers for N=16, showing
the size in bytes taken by the cache structure. Larger values of N lead
to larger size differences, always in favor of the second structure.
Structure | K=1 | K=2 | K=3 | K=4 | K=5 | K=6
-----------------------+------+------+------+------+------+------
cache[field][id][key] | 4488 | 4488 | 4488 | 4488 | 4488 | 6536
cache[field][key][id] | 888 | 1536 | 2184 | 2832 | 3480 | 4256
Moreover, some memory operations are performed on many records and a
single context key. Those operations are clearly simpler and faster
with the second cache structure.
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