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  1. docs/en/docs/tutorial/sql-databases.md

    ```Python
    connect_args={"check_same_thread": False}
    ```
    
    ...is needed only for `SQLite`. It's not needed for other databases.
    
    !!! info "Technical Details"
    
        By default SQLite will only allow one thread to communicate with it, assuming that each thread would handle an independent request.
    
        This is to prevent accidentally sharing the same connection for different things (for different requests).
    
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  2. docs/de/docs/deployment/concepts.md

    <img class="shadow" src="/img/deployment/concepts/image01.png">
    
    ---
    
    Nachdem wir nun den Unterschied zwischen den Begriffen **Prozess** und **Programm** kennen, sprechen wir weiter über das Deployment.
    
    ## Beim Hochfahren ausführen
    
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  3. docs/en/docs/tutorial/body.md

    !!! note
        FastAPI will know that the value of `q` is not required because of the default value `= None`.
    
        The `Union` in `Union[str, None]` is not used by FastAPI, but will allow your editor to give you better support and detect errors.
    
    ## Without Pydantic
    
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  4. fastapi/routing.py

                    This is much simpler (less smart) than `response_model_exclude_unset`
                    and `response_model_exclude_defaults`. You probably want to use one of
                    those two instead of this one, as those allow returning `None` values
                    when it makes sense.
    
                    Read more about it in the
    Python
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  5. fastapi/_compat.py

                    exclude_defaults=exclude_defaults,
                    exclude_none=exclude_none,
                )
    
            def __hash__(self) -> int:
                # Each ModelField is unique for our purposes, to allow making a dict from
                # ModelField to its JSON Schema.
                return id(self)
    
        def get_annotation_from_field_info(
            annotation: Any, field_info: FieldInfo, field_name: str
        ) -> Any:
    Python
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  6. docs/en/docs/deployment/docker.md

    ### One Load Balancer - Multiple Worker Containers
    
    When working with **Kubernetes** or similar distributed container management systems, using their internal networking mechanisms would allow the single **load balancer** that is listening on the main **port** to transmit communication (requests) to possibly **multiple containers** running your app.
    
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