Mongojet

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Async (asyncio) MongoDB client for Python. It uses Rust MongoDB driver and tokio under the hood. Mongojet is 2-4x faster than Motor (and 1.5-3.5x faster than PyMongo AsyncMongoClient) in high concurrency scenarios (see benchmarks below).

Requirements

  • Python >= 3.9
  • pymongo>=4.6.2 (only bson package is required)

Installation

pip install mongojet

Usage

Mongojet has an API similar to PyMongo/Motor (but not exactly the same)

Creating a Client

Typically, you should create a single instance of Client per application/process. All client options should be passed via MongoDB connection string.

from mongojet import create_client, ReadPreference

client = await create_client('mongodb://localhost:27017/test_database?maxPoolSize=16')

Getting a Database

default database

db = client.get_default_database()

database with specific name

db = client.get_database('test_database')

database with specific name and options

db = client.get_database('test_database', read_preference=ReadPreference(mode='secondaryPreferred'))

Getting a Collection

collection = db['test_collection']

with options

collection = db.get_collection('test_collection', read_preference=ReadPreference(mode='secondary'))

Inserting documents

insert_one

document = {'key': 'value'}
result = await collection.insert_one(document)
print(result)
#> {'inserted_id': ObjectId('...')}

insert_many

documents = [{'i': i} for i in range(1000)]
result = await collection.insert_many(documents)
print(len(result['inserted_ids']))
#> 1000

Find documents

find_one (to get a single document)

document = await collection.find_one({'i': 1})
print(document)
#> {'_id': ObjectId('...'), 'i': 1}

find (to get cursor which is an async iterator)

cursor = await collection.find({'i': {'$gt': 5}}, sort={'i': -1}, limit=10)

you can iterate over the cursor using the async for loop

async for document in cursor:
    print(document)

or collect cursor to list of documents using to_list method

documents = await cursor.to_list()

find_many (to get list of documents in single batch)

documents = await collection.find_many({'i': {'$gt': 5}}, sort={'i': -1}, limit=10)

Counting documents

n = await collection.count_documents({'i': {'$gte': 500}})
print(n)
#> 500

Aggregating documents

cursor = await collection.aggregate(pipeline=[
    {'$match': {'i': {'$gte': 10}}},
    {'$sort': {'i': 1}},
    {'$limit': 10},
])
documents = await cursor.to_list()
print(documents)

Updating documents

replace_one

result = await collection.replace_one(filter={'i': 5}, replacement={'i': 5000})
print(result)
#> {'matched_count': 1, 'modified_count': 1, 'upserted_id': None}

update_one

result = await collection.update_one(filter={'i': 5}, update={'$set': {'i': 5000}}, upsert=True)
print(result)
#> {'matched_count': 0, 'modified_count': 0, 'upserted_id': ObjectId('...')}

update_many

result = await collection.update_many(filter={'i': {'$gte': 100}}, update={'$set': {'i': 0}})
print(result)
#> {'matched_count': 900, 'modified_count': 900, 'upserted_id': None}

Deleting documents

delete_one

result = await collection.delete_one(filter={'i': 5})
print(result)
#> {'deleted_count': 1}

delete_many

result = await collection.delete_many(filter={'i': {'$gt': 5}})
print(result)
#> {'deleted_count': 94}

Working with GridFS

bucket = db.gridfs_bucket(bucket_name="images")

with open('/path/to/my/awesome/image.png', mode='rb') as file:
    data = file.read()
    result = await bucket.put(data, filename='image.png', content_type='image/png')
    file_id = result['file_id']

with open('/path/to/my/awesome/image_copy.png', mode='wb') as file:
    data = await bucket.get_by_id(file_id)
    file.write(data)

await bucket.delete(file_id)

Simple benchmark (lower is better):

find_one

find_one

insert_one

insert_one

iterate over cursor

cursor

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for romis2012 from gravatar.com romis2012

Credits

Author: Roman Snegirev

License

Apache Software License

Requires

Python >=3.9

Classifiers

Report project as malware

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Release history Release notifications | RSS feed

This release

0.5.7 This release

61 files

0.5.6

61 files

0.5.4

61 files

0.5.2

61 files

0.5.1

61 files

0.5.0

61 files

0.4.4

61 files

0.4.3

61 files

0.4.2

61 files

0.4.1

61 files

0.4.0

51 files

0.3.5

51 files

0.3.4

51 files

0.3.3

61 files

0.3.2

61 files

0.3.1

61 files

0.3.0

61 files

0.2.7

61 files

0.2.6

61 files

0.2.5

61 files

0.2.4

61 files

0.2.3

77 files

0.2.2

65 files

0.2.1

65 files

0.1.3

65 files

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