Comments (1)
It's built on top of Motor. Motor is built on top of PyMongo. So, you can use a single instance everywhere in your application because PyMongo provides built-in connection pooling. see here
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Related Issues (20)
- Odmantic Does Not Add Pydantic Computed Fields to MongoDB HOT 2
- Aggregation support via the find method HOT 2
- Datetime not updating and not updating frequently
- Injected Context for Model Class not picked up
- Unexpected @field_validator behaviour
- ODMantic is incompatible with pydantic version 2.7.0 HOT 4
- Custom fields serialisation & deserialisation HOT 1
- Motor uses ThreadPoolExecutor, it drastically decreases a performance HOT 4
- `key_name` doesn't work when field is `id` HOT 2
- The "Custom field types" doc talks about a __bson__ method with an example that doesn't include it
- Field support exclud
- __bson__ serialization does not work when Optional / Union used with Custom Types
- Can't save a model with a field of type pydantic.AnyUrl
- Optional Embedded model and key_name not working HOT 6
- Using Model.model_construct breaks attr setters
- High Memory Usage when Iterating over cursor with many document
- Extended Reference Pattern with odmantic
- Unable to validate a document when specifying a reference
- Unexpected `id` field when inheriting a Model with custom `primary_field`
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