Caching in Azure Functions using python -


i using azure queue trigger in azure function.

my azure function connects mongodb , fetches collections.

some of collections common queue jobs , can vary 1000 documents 1 million documents.i need cache collections.

i don't want use external caching services(azure redis server etc).

is there way use disk caching(or other kind of caching)?

i using python 3.5.2.

i have used diskcache cache mongodb results.

diskcache apache2 licensed disk , file backed cache library, written in pure-python, , compatible django.


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