topic How to install python package on spark cluster in Data Engineering

How to install python package on spark cluster

kidexp — Tue, 14 Apr 2015 21:58:01 GMT

Hi,

How can I install python packages on spark cluster? in local, I can use pip install.

I want to use some external packages which is not installed on was spark cluster.

Thanks for any suggestions.

arsalan1 — Tue, 14 Apr 2015 22:05:56 GMT

@kidexp

From the workspace dropdown, you can select New Library, and then select Python eggs or specify specific packages. Please see attached screenshots.

kidexp — Tue, 14 Apr 2015 22:22:40 GMT

Thanks very much @Arsalan Tavakoli-Shiraji

ChristianRodrig — Wed, 03 May 2017 01:37:51 GMT

@Arsalan Tavakoli-Shiraji how do we attach it to a specific cluster programmatically (and not just all clusters by checking that box)

dillon_bostwick — Wed, 01 Aug 2018 19:25:15 GMT

You can use the Databricks Libraries API to programmatically attach libraries to specific clusters. For more information: https://docs.databricks.com/api/latest/libraries.html#install

Anonymous — Thu, 22 Jun 2023 17:04:04 GMT

Introduce Python bundle on flash group

Make a virtualenv only for your Flash hubs.

Each time you run a Flash work, run a new pip introduce of all your own in-house Python libraries. ...

Zoom up the site-bundles dir of the virtualenv. ...

Pass the single .compress document, containing your libraries and their conditions as a contention to - - py-records.

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Mikejerere — Fri, 01 Nov 2024 06:49:05 GMT

Use --py-files with Spark Submit: Zip the package and add it using --py-files when you run spark-submit. For example:

spark-submit --py-files path/to/your_package.zip your_script.py

Mikejerere — Fri, 01 Nov 2024 06:53:54 GMT

If --py-files doesn’t work, try this shorter method:

Create a Conda Environment: Install your packages.

conda create -n myenv python=3.x
conda activate myenv
pip install your-package

Package and Submit: Use conda-pack and spark-submit with --archives.

conda pack -n myenv -o myenv.tar.gz
spark-submit --archives myenv.tar.gz#myenv --conf spark.pyspark.python=myenv/bin/python your_script.py

This runs your Spark job with the required packages.