django-documentdb 0.0.3

DocumentDB/MongoDB backend for Django

DocumentDB/MongoDB backend for Django

This project, django-documentdb, is a fork of the original django-mongodb repository, which was developed and maintained by the MongoDB Python Team. The primary purpose of this fork is to enhance compatibility with AWS DocumentDB, a MongoDB-compatible database service provided by Amazon Web Services. To accommodate the differences between DocumentDB and MongoDB’s API support, specific adjustments have been implemented to ensure seamless functionality within DocumentDB.

We encourage users to provide feedback and report any issues as we continue to improve the library. You can share your thoughts, suggestions, or report problems on our GitHub Issues page

Documentation

For full documentation, including installation, configuration, etc. Please see https://django-documentdb.readthedocs.io/

Installation

To install django_documentdb, use one of the following methods:

Using pip

You can install django_documentdb with:

pip install django_documentdb

Using Poetry

If you're using Poetry to manage your dependencies, you can add django_documentdb to your project with:

poetry add django_documentdb

Notes on Django QuerySets

django-documentdb uses own QuerySet implementation (DocumentQuerySet) if you inherit your models from DocumentModel class.

Example:

from django_documentdb.models import DocumentModel
from django_documentdb import fields
from django.db import models


class TestModel(DocumentModel):
    _id = fields.ObjectIdAutoField(primary_key=True)
    text_value = models.CharField(max_length=100, null=True)
    number_value = models.FloatField(null=True)

    class Meta:
        db_table = "test_db"
        use_mongodb = True

Available options with DocumentQuerySet:

• QuerySet.explain() supports the comment and verbosity options.

  Example: QuerySet.explain(comment="...", verbosity="...")

  Valid values for verbosity are "queryPlanner" (default), "executionStats", and "allPlansExecution".

• DocumentQuerySet.index_hint(index_name) - allows to specify index hint for query.

Known issues and limitations

• The following QuerySet methods aren't supported:

  • bulk_update()
  • dates()
  • datetimes()
  • distinct()
  • extra()
  • prefetch_related()

• QuerySet.delete() and update() do not support queries that span multiple collections.

• DateTimeField doesn't support microsecond precision, and correspondingly, DurationField stores milliseconds rather than microseconds.

• The following database functions aren't supported:

  • Chr
  • ExtractQuarter
  • MD5
  • Now
  • Ord
  • Pad
  • Repeat
  • Reverse
  • Right
  • SHA1, SHA224, SHA256, SHA384, SHA512
  • Sign
  • TruncDate
  • TruncTime

• The tzinfo parameter of the Trunc database functions doesn't work properly because MongoDB converts the result back to UTC.

• When querying JSONField:

  • There is no way to distinguish between a JSON "null" (represented by Value(None, JSONField())) and a SQL null (queried using the isnull lookup). Both of these queries return both of these nulls.
  • Some queries with Q objects, e.g. Q(value__foo="bar"), don't work properly, particularly with QuerySet.exclude().
  • Filtering for a None key, e.g. QuerySet.filter(value__j=None) incorrectly returns objects where the key doesn't exist.
  • You can study the skipped tests in DatabaseFeatures.django_test_skips for more details on known issues.

• Due to the lack of ability to introspect MongoDB collection schema, migrate --fake-initial isn't supported.

Forked Project

This project, django-documentdb, is a fork of the original django-mongodb library, which aimed to integrate MongoDB with Django. The fork was created to enhance compatibility with AWS DocumentDB, addressing the limitations of its API support while maintaining the core functionalities of the original library. We appreciate the work of the MongoDB Python Team and aim to build upon their foundation to better serve users needing DocumentDB integration.