Combining MongoDB operations

Introduction to MongoDB in Python

Filip Schouwenaars

Machine Learning Researcher

Building a Bulk Operation

from pymongo import InsertOne, UpdateOne    # import classes

operations = [
    InsertOne({                             # operation 1
        "title": "Dune",
        "genre": ["action", "adventure", "drama"],
        "release_year": 2021,
        "rating": 8.0,
        "won_oscar": False
    }),
    UpdateOne(                              # operation 2
        { "title": "Titanic" },
        { "$set": { "won_oscar": True } }
    )
]

result = mov.bulk_write(operations)         # pass list to bulk_write

Understanding the result

print(result.inserted_count)

print(result.modified_count)

Keep in mind

Executed in order: earlier operations are not rolled back
Want stricter safety? Check out transactions

Why use bulk_write?

Efficient
- Send all operations in a single request
- Saves time, reduced network overhead
Trackable
- Single result object
- Unified summary of results of all operations
- Easier to audit and debug
Clean
- Avoids scattering operations
- Keeps logic grouped and easier to read

What can you combine?

Use any mix of:
- InsertOne()
- UpdateOne() / UpdateMany() / ReplaceOne()
- DeleteOne() / DeleteMany()
- ReplaceOne()
Great for:
- Syncing data
- Cleaning up datasets
- Bulk imports

Let's practice!

Introduction to MongoDB in Python