Query MongoDB Data

You can import your models into the Python interactive shell to read data from the sample_mflix database.

Query the "users" collection for a specified email

Start a Python shell by running the following command:

python manage.py shell

Then, run the following code to query the sample_mflix.users collection for a movie viewer whose email is "jason_momoa@gameofthron.es":

from sample_mflix.models import Movie, Viewer
Viewer.objects.filter(email="jason_momoa@gameofthron.es").first()

This code returns the name of the matching user:

<Viewer: Khal Drogo>

Query the "movies" collection for specified runtime values

Run the following code to query the sample_mflix.movies collection for movies that have a runtime value less than 10:

Movie.objects.filter(runtime__lt=10)

This code returns a truncated list of the matching movies:

<QuerySet [<Movie: Winsor McCay, the Famous Cartoonist of the N.Y.
Herald and His Moving Comics>, <Movie: Steamboat Willie>, <Movie:
Three Little Pigs>, <Movie: The Band Concert>, <Movie: Who Killed Cock Robin?>,
<Movie: Dots>, <Movie: The Cat Concerto>, <Movie: Begone Dull Care>,
<Movie: Mi adorado Juan>, <Movie: Neighbours>, <Movie: A Phantasy>,
<Movie: Duck Amuck>, <Movie: Duck Dodgers in the 24èth Century>,
<Movie: Blinkity Blank>, <Movie: One Froggy Evening>,
<Movie: What's Opera, Doc?>, <Movie: Lines: Horizontal>,
<Movie: Il fornaretto di Venezia>, <Movie: Dog Star Man: Part IV>,
<Movie: Now>, '...(remaining elements truncated)...']>

After completing this step, you can run queries on data stored in your MongoDB deployment.

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