You can import your models into the Python interactive shell to read data from the sample_mflix database.
Start a Python shell by running the following command:
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, ViewerViewer.objects.filter(email="jason_momoa@gameofthron.es").first()This code returns the name of the matching user:
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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