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This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
ANNOUNCEMENT
I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
Adding an extra package to a Python Dataflow project to run on GCP
The Problem
The documentation for how to deploy a pipeline with extra, non-PyPi, pure Python packages on GCP is missing some detail. This gist shows how to package and deploy an external pure-Python, non-PyPi dependency to a managed dataflow pipeline on GCP.
TL;DR: You external package needs to be a python (source/binary) distro properly packaged and shipped alongside your pipeline. It is not enough to only specify a tar file with a setup.py.
Preparing the External Package
Your external package must have a proper setup.py. What follow is an example setup.py for our ETL package. This is used to package version 1.1.1 of the etl library. The library requires 3 native PyPi packages to run. These are specified in the install_requires field. This package also ships with custom external JSON data, declared in the package_data section. Last, the setuptools.find_packages function searches for all available packages and returns that
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters