Python init Examples

Example #1

def main():
    # large data DB example
    car_count = 250_000
    owner_count = 100_000

    # simple DB example
    # car_count = 200
    # owner_count = 100

    mongo_setup.init()
    clear_db()

    t0 = datetime.now()

    fake = create_faker_and_seed()
    owners = create_owners(fake, count=owner_count)
    print("Created {:,.0f} owners".format(len(owners)))
    cars = create_cars(count=car_count)
    print("Created {:,.0f} cars".format(len(cars)))
    if cars and owners:
        add_cars_to_owners(owners, cars)
        create_service_records(cars, fake)

    dt = datetime.now() - t0
    print("Done in {} sec".format(dt.total_seconds()))

Example #2

File: load_data.py Project: sethips/mongodb-for-python-developers

def main():
    # large data DB example
    car_count = 250_000
    owner_count = 100_000

    # simple DB example
    # car_count = 200
    # owner_count = 100

    mongo_setup.init()
    clear_db()

    t0 = datetime.now()

    fake = create_faker_and_seed()
    owners = create_owners(fake, count=owner_count)
    print("Created {:,.0f} owners".format(len(owners)))
    cars = create_cars(count=car_count)
    print("Created {:,.0f} cars".format(len(cars)))
    if cars and owners:
        add_cars_to_owners(owners, cars)
        create_service_records(cars, fake)

    dt = datetime.now() - t0
    print("Done in {} sec".format(dt.total_seconds()))

Example #3

File: db_stats.py Project: sethips/mongodb-for-python-developers

def main():
    mongo_setup.init()

    print("Computing stats, this WILL take awhile...", flush=True)

    cars = list(Car.objects())
    print("There are {:,} cars.".format(len(cars)))

    owners = list(Owner.objects())
    print("There are {:,} owners.".format(len(owners)))
    owned_cars = sum((len(o.car_ids) for o in owners))
    print("Each owner owns an average of {:.2f} cars.".format(owned_cars / len(owners)))

    service_histories = sum((len(c.service_history) for c in cars))
    print("There are {:,} service histories.".format(service_histories))
    print("Each car has an average of {:.2f} service records.".format(service_histories / len(cars)))

Example #4

File: db_stats.py Project: juraj80/mongoDB_with_Python

def main():
    mongo_setup.init()

    print("Computing stats, this WILL take awhile...", flush=True)

    cars = list(Car.objects())
    print("There are {:,} cars.".format(len(cars)))

    owners = list(Owner.objects())
    print("There are {:,} owners.".format(len(owners)))
    owned_cars = sum((len(o.car_ids) for o in owners))
    print("Each owner owns an average of {:.2f} cars.".format(owned_cars /
                                                              len(owners)))

    service_histories = sum((len(c.service_history) for c in cars))
    print("There are {:,} service histories.".format(service_histories))
    print("Each car has an average of {:.2f} service records.".format(
        service_histories / len(cars)))

Example #5

File: q_and_a.py Project: juraj80/mongoDB_with_Python

from nosql.car import Car
from nosql.owner import Owner
from datetime import datetime
import nosql.mongo_setup as mongo_setup


def timed(msg, func):
    t0 = datetime.now()

    func()

    dt = datetime.now() - t0
    print("{} Time: {:,.3f} ms".format(msg, dt.total_seconds() * 1000.0), flush=True)


mongo_setup.init()

print("Time to ask some questions")

timed(
    'How many owners?',
    lambda: Owner.objects().filter().count()
)
timed(
    'How many cars?',
    lambda: Owner.objects().filter().count()
)

timed(
    'Find the 10,000th owner by name?',
    lambda: Owner.objects().order_by('name')[10000:10001][0]