Example of loading large data in memory

__init__.py

from flask import Flask

app = Flask(__name__)

from . import views

__main__.py

from . import app

app.run('0.0.0.0', 5555)

data.py

import uuid

BIG_DATA = {}

for i in range(10000): # 10,000 entries
    BIG_DATA[str(uuid.uuid4())] = [n for n in range(i-5, i)]

views.py

from flask import request
import json

from . import app
from .data import BIG_DATA

@app.route("/")
def index():
    return json.dumps(BIG_DATA.keys()), 200

@app.route("/<id>", methods=['GET', 'POST'])
def entry(id):
    if request.method == 'POST':
        if 'value' in request.values:
            if id not in BIG_DATA:
                BIG_DATA[id] = []
            BIG_DATA[id].append(request.values[value])
            return json.dumps(BIG_DATA[id]), 201
        else:
            return 'value is required', 401
    elif request.method == 'GET':
        if id in BIG_DATA:
            return json.dumps(BIG_DATA[id])
        else:
            return 'not found', 404