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Pyspark environment and python packages on executors

rbarata
New Contributor II

At my company we use conda-pack to make certain packages available on the spark executors. Is there a better a better alternative to get away from creating a new environment and pack it every time I need a new python lib to be available for the executors?

Cheers 🙂

1 ACCEPTED SOLUTION

Accepted Solutions

-werners-
Esteemed Contributor III

databricks provides library installation in the form of PyPi packages, or wheel/egg.

If you install the packages like that on the cluster, they are automatically sent to all executors.

View solution in original post

2 REPLIES 2

-werners-
Esteemed Contributor III

databricks provides library installation in the form of PyPi packages, or wheel/egg.

If you install the packages like that on the cluster, they are automatically sent to all executors.

Kaniz
Community Manager
Community Manager

Hi @Ricardo Barata​, We haven’t heard from you on the last response from @Werner Stinckens​ , and I was checking back to see if his suggestions helped you. Or else, If you have any solution, please do share that with the community as it can be helpful to others.

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