Categories can be fetched from the database as a dictionary using the Django ORM. A class method enhances this process by caching results to improve performance. The caching implementation leverages functools.lru_cache to avoid repeated database hits. When categories are modified, Django signals provide a mechanism to clear the cache, ensuring the data remains current. Benchmarking shows significant performance improvement when using the cached method over direct database calls for repeated accesses, highlighting its effectiveness for static data.
Using the ORM, one can collect all category instances as a dictionary with IDs as keys and names as values, improving data retrieval efficiency.
Caching the result of the get_category_id_name_map method enhances performance, making subsequent calls instantaneous and reducing unnecessary database queries.
Django signals are employed to clear the cache when category instances are modified, ensuring that updates are reflected without delay or inconsistency.
Simple functions f1 and f2 demonstrate equivalent outcomes for basic category retrieval versus the cached method, highlighting the efficiency gains from caching.
Collection
[
|
...
]