databricks-nutter-repos-demo
flintrock
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databricks-nutter-repos-demo | flintrock | |
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2 | 1 | |
143 | 630 | |
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4.3 | 5.0 | |
2 months ago | 10 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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databricks-nutter-repos-demo
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Ask HN: Tips for software engineering sanity with Databricks notebooks?
You can use Databricks Repos (https://docs.databricks.com/repos/index.html) specifically files in repos (https://docs.databricks.com/repos/work-with-notebooks-other-...) functionality that allows to use Python files (not notebooks!) as Python modules.
Another alternative is to split notebooks into “library notebooks” that just define transformations, and “orchestration notebooks” that use code library notebooks to execute a “business logic”.
In both approaches you can do code testing, etc.
P.S. I have a demo of both approaches here: https://github.com/alexott/databricks-nutter-repos-demo
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Why Databricks Is Winning
I’m sorry for delay, will fix ASAP...
My point is that you can do that even without jars/wheels - you can do VC and tests of notebooks. For example, https://github.com/alexott/databricks-nutter-projects-demo
flintrock
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Why Databricks Is Winning
> * AWS has a managed Spark offering called EMR
There is also my rinky-dink open source project, Flintrock [0], that will launch open source Spark clusters on AWS for you.
It's probably not the right tool for production use (and you would be right to wonder why Flintrock exists when we have EMR [1]), but I know of several companies that have used Flintrock at one point or other in production at large scale (like, 400+ node clusters).
[0]: https://github.com/nchammas/flintrock
[1]: https://github.com/nchammas/flintrock#why-build-flintrock-wh...
What are some alternatives?
spark-snowflake - Snowflake Data Source for Apache Spark.
chispa - PySpark test helper methods with beautiful error messages
dask-gateway - A multi-tenant server for securely deploying and managing Dask clusters.
MLflow - Open source platform for the machine learning lifecycle
quinn - pyspark methods to enhance developer productivity 📣 👯 🎉