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Using Docker multistage build to optimise size of dockerised python images
- Authors
- Name
- Peter Peerdeman
- @peterpeerdeman
As I was working on my next python timeseries forecasting project using Darts, I found out darts doesn't quite like builing it's dependencies on the python slim image I was using in my Dockerfile.
When using the non-slim image, the build would succeed, but build into a big 1,5G image file, which isn't optimal. I remembered using a multistage build in my nodejs projects and found out in this example on github that this is also possible in python.
For completeness, this is the dockerfile I ended up using:
FROM python:3.9.19 as base
RUN mkdir /app
COPY ./requirements.txt /app/requirements.txt
WORKDIR /app
RUN pip install --no-cache-dir -r requirements.txt
COPY . /app
CMD python app.py
FROM python:3.9.19-slim
WORKDIR /app
COPY --from=base /usr/local/lib/python3.9/site-packages/ /usr/local/lib/python3.9/site-packages/
COPY --from=base /app /app
CMD python app.py