
# Custom Drive Connector

Just like other services in OpenMetadata (Database, Pipelines, Dashboards, Messaging, etc.), it’s possible to create a **Custom Drive Connector** to bring metadata from a storage or file system-like service into OpenMetadata.

In this guide, we'll walk through how to implement your own Custom Drive Connector by extending the ingestion framework. The implementation pattern follows other service types closely, making the transition smooth for anyone familiar with the ecosystem.

{% note %}

This guide is based on a working example in the OpenMetadata Demos repository: [link](https://github.com/open-metadata/openmetadata-demo/tree/main/custom-connector).

{% /note %}

Watch OpenMetadata's Webinar on Custom Connectors to get more context on how to build these integrations.

{% youtube videoId="fDUj30Ub9VE" start="0:00" end="36:33" width="800px" height="450px" /%}

## Steps to Set Up a Custom Drive Connector

### Step 1 - Prepare Your Drive Connector

A Custom Drive Connector is a Python class that inherits from:

```python

from metadata.ingestion.api.steps import Source

```
It must implement required methods such as:
- `prepare`
- `_iter`
- `test_connection` (optional but recommended so the UI can validate access)

```python

custom_drive/
  my_drive_connector.py

```

**Inside** `my_drive_connector.py`, **define your class:**

```python

class MyDriveConnector(Source):
    ...
    def _iter(self):
        ...

```

{% note %}

`_iter` is a generator that produces the `CreateEntityRequest` instances expected by the ingestion framework.

{% /note %}

For more on the ingestion framework, refer to the [OpenMetadata Ingestion Workflow Docs](https://docs.open-metadata.org/latest/connectors/ingestion/workflows)

### Step 2 - Yield Drive Data as Entities

You need to yield `CreateEntityRequest` objects wrapped in an `Either` type. This pattern handles both successful entity creation and errors.

**Import necessary types:**

```python

from metadata.ingestion.api.models import Either, StackTraceError
from metadata.generated.schema.api.data.createDirectory import CreateDirectoryRequest
from metadata.generated.schema.api.data.createFile import CreateFileRequest
from metadata.generated.schema.api.data.createSpreadsheet import CreateSpreadsheetRequest
from metadata.generated.schema.api.data.createWorksheet import CreateWorksheetRequest
import traceback

```

**Example usage:**

```python

for directory in self.drive_client.list_directories():
    try:
        yield Either(
            right=CreateDirectoryRequest(
                name=directory.name,
                description=directory.description,
                parent=directory.parent_fqn,
                href=directory.href,
            )
        )
    except Exception as exc:
        yield Either(
            left=StackTraceError(
                name="Drive Directory Ingestion Error",
                error=str(exc),
                stack_trace=traceback.format_exc(),
            )
        )

for file_metadata in self.drive_client.list_files():
    yield Either(
        right=CreateFileRequest(
            name=file_metadata.name,
            description=file_metadata.description,
            fileFormats=file_metadata.file_formats,
            parent=file_metadata.parent_directory_fqn,
            size=file_metadata.size,
        )
    )
```

Extend the same pattern with `CreateSpreadsheetRequest` and `CreateWorksheetRequest` if your Drive service exposes those concepts.

### Step 3 - Package Your Custom Drive Connector

To use the connector, package it as a Python module. A minimal `setup.py` may look like:

```python

from setuptools import setup, find_packages

setup(
    name="custom_drive_connector",
    version="0.1",
    packages=find_packages(),
    install_requires=[],
)

```

**Build the package:**

```bash

python setup.py sdist

```

### Step 4 - Update the Ingestion Image

To run your Custom Drive Connector inside Docker (e.g., with Airflow or directly from the UI), the ingestion image must include your module.

**Dockerfile example:**

```Dockerfile

FROM openmetadata/ingestion:1.10.0

WORKDIR ingestion
USER airflow

COPY custom_drive custom_drive
COPY setup.py .
RUN pip install --no-deps .

```

This ensures that your code is baked into the ingestion container. Always align the ingestion image tag with the OpenMetadata version that is running your server/UI.

### Step 5 - Run OpenMetadata with Custom Image

If you're using Docker Compose, update your setup to use the new image.

```makefile

run:
	docker compose -f docker-compose.yml up --build

```

### Step 6 - Configure Custom Drive in OpenMetadata UI

- Navigate to Drive Services
- Click **Add New Service > Custom**
- Enter your Source Python Class as:

```python

custom_drive.my_drive_connector.MyDriveConnector

```

Ensure the full module path is specified so OpenMetadata can import the connector.

{% image
  src="/images/v1.10/connectors/custom-drive.png"
  alt="Custom Connector" /%}


Learn how to create a Custom Drive Connector to ingest metadata from file system-like services into OpenMetadata using the ingestion framework.