[docker] Add jupyter based demo of single colo batch push workflow #1271
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This adds a new interactive demo and explanation of a typical workflow of Venice batch push. It walks through downloading a dataset from hugging face, using spark to conver the parquet file format to avro, preparing a Venice store, and then using Spark and VPJ to push to the Venice cluster, all from the jupyter notebook
sushantmane
reviewed
Nov 1, 2024
sushantmane
reviewed
Nov 2, 2024
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Looks great, and it works perfectly—thanks so much, @ZacAttack! I left a few comments, and once those are addressed, it’s good to go. 🚀
sushantmane
approved these changes
Nov 4, 2024
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[docker] Add jupyter based demo of single colo batch push workflow
This adds a new interactive demo and explanation of a typical workflow of Venice batch push. It walks through downloading a dataset from hugging face, using spark to conver the parquet file format to avro, preparing a Venice store, and then using Spark and VPJ to push to the Venice cluster, all from the jupyter notebook.
To run this demo do the following:
Build the Image
From the repository root directory run:
./docker/build-venice-docker-images.shRun and compose the containers
Once that's done, you'll need to compose the images with:
docker compose -f ./docker/docker-compose-single-dc-setup.yaml up -dConnect to jupyter
Depending on your environment you'll need to access the running logs of the venice-client-jupyter container. If you have the Docker Desktop app you can navigate to the running container list and click on the venice-client-jupyter container. From the log view you'll see a link that looks something like:
http://127.0.0.1:8888/lab?token=<some token string>Open this link in your browser and you'll be treated to the jupyter notebook UI. From the file explorer on the left double click on the file called Venice_Demo.ipynb. From there, you can read and run the tutorial. Have fun!
Resolves #XXX
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