I'm building an application and I'm having trouble making a choice
about how is the best way to access multiple times to static data in a
django app. My experience in the field is close to zero so I could use
some help.
The app basically consists in a drag & drop of foods. When you drag a
food to a determined place(breakfast for example) differents values
gets updated: total breakfast calories, total day nutrients(Micro/
Macro), total day calories, ...That's why I think the way I store and
access the data it's pretty important performance speaking.
This is an excerpt of the json file I'm currently using:
foods.json
{
"112": {
"type": "Vegetables",
"description": "Mushrooms",
"nutrients": {
"Niacin": {
"unit": "mg",
"group": "Vitamins",
"value": 3.79
},
"Lysine": {
"units": "g",
"group": "Amino Acids",
"value": 0.123
},
... (+40 nutrients)
"amount": 1,
"unit": "cup whole",
"grams": 87.0 }
}
I've thought about different options:
1) JSON(The one I'm currently using):
Every time I drag a food to a "droppable" place, I call a getJSON
function to access the food data and then update the corresponding
values. This file has a 2mb size, but it surely will increase as I add
more foods to it. I'm using this option because it was the most
quickest to begin to build the app but I don't think it's a good
choice for the live app.
2) RDBMS with normalized fields:
I could create two models: Food and Nutrient, each food has 40+
nutrients related by a FK. The problem I see with this is that every
time a food data request is made, the app will hit the db a lot of
times to retrieve it.
3) RDBMS with picklefield:
This is the option I'm actually considering. I could create a Food
models and put the nutrients in a picklefield.
4) Something with Redis/Django Cache system:
I'll dive more deeply into this option. I've read some things about
them but I don't clearly know if there's some way to use them to solve
the problem I have.
Thanks in advance, Mariano.
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