An Azure service that provides an event-driven serverless compute platform.
Hi @Matthias
Thank you for reaching out to Microsoft Q&A.
This issue occurs due to a native binary conflict between Duck DB’s Python bindings (implemented using pybind11) and the Azure Functions Python runtime when running in Docker. When duck dB is imported, its C++ bindings register global types such as Explain Type. In the Azure Functions Docker runtime, other native components (from the Functions host, worker process, or telemetry extensions) may already have initialized pybind-related type registries. As a result, when Duck DB attempts to register the same type again, Python raises the error: Import Error: generic type: type "Explain Type" is already registered! This is why the issue appears only in Docker-based Azure Functions, does not reproduce in a plain local Python environment, and often does not occur with Oryx builds—Oryx better isolates dependency compilation and native library loading. The failure happens at import time and is not caused by your function code logic.
Refer below points to resolve this issue or this is the workaround
Pin Duck DB to a stable version known to work better with Azure Functions
Some Duck DB versions changed pybind registration behavior, increasing the chance of conflicts. Avoid floating versions in requirements.txt.
Example:
duckdb==0.9.2
Avoid importing DuckDB at module load time (use lazy import) Import DuckDB inside the function handler instead of at the top level so that the Azure Functions worker finishes its native initialization first.
Example:
def main(req):
import duckdb
# rest of your logic
Use a custom slim base image instead of the default Azure Functions image
- Build your own Docker image (for example, based on
python:3.10-slim) and installazure-functionsmanually. This reduces preloaded native libraries and lowers the chance ofpybindconflicts, though it requires more custom setup. - In your
Dockerfileuse the “Python-only” tag instead of the full App Service image. e.g. FROM mcr.microsoft.com/azure-functions/python:4-python3.11 (instead of 4-python3.11-appservice) This image doesn’t include theazureml-interpretlibrary, so the conflict goes away.
Disable Application Insights native agent if enabled
In some cases, disabling native telemetry reduces native extension load conflicts:
APPLICATIONINSIGHTS_ENABLE_AGENT
This is a mitigation and may not work in all environments.
Move DuckDB processing out of Azure Functions if possible
If DuckDB is a hard requirement, consider running it in Azure Container Apps or Azure App Service, and use Azure Functions only as a trigger or orchestrator. This avoids the Functions runtime native limitations.