How to install additional local python libraries in AWS EMR notebooks


I am using both pyspark and local python kernel (%%local) in a single EMR notebook. I am able to install packages successfully in pyspark kernel using EMR bootstrap but I am unable to install additional local python libraries (s3fs and other packages) using EMR bootstrap action. Could you please provide your guidance on this

asked 2 years ago3503 views
2 Answers
Accepted Answer

Are you receiving any specific error during installation? Please see below documentation related to installing python libraries in EMR notebooks:

answered 2 years ago
  • Had gone through the above links. I am able to install local python packages using %%local pip install <packagename> in jupyter notebook pyspark kernel. But i had to do this action everytime for each notebook session. Whether additional local python packages can be directly installed using bootstrap action in pyspark kernels ?


Unfortunately, the contents posted by @Taka_M are old.

I have same question, and posted the answer at

It also helps automate creating JupterLab kerner during EMR provision.

Here is a copy:

I found out JupterLab Python is separate with the EMR cluster custom Python version.

I need first create a new conda Python 3.11 environment for JupterLab, and then register it as a new kernel.

As the JupterLab got installed after the bootstrap script, so I need add a EMR step with script:

#!/usr/bin/env bash
set -e

echo "# Install JupyterLab-scoped dependencies"
sudo /emr/notebook-env/bin/conda create --name="python${PYTHON_VERSION}" python=${PYTHON_VERSION} --yes
sudo "/emr/notebook-env/envs/python${PYTHON_VERSION}/bin/python" -m pip install \
  apache-sedona[spark]==1.5.0 \
  attrs==23.1.0 \
  descartes==1.1.0 \
  ipykernel==6.28.0 \
  matplotlib==3.8.2 \
  pandas==2.1.4 \

echo "# Add JupyterLab kernel"
sudo "/emr/notebook-env/envs/python${PYTHON_VERSION}/bin/python" -m ipykernel install --name="python${PYTHON_VERSION}"

Now the new Python 3.11 kernel shows in the JupterLab:

Enter image description here

And it prints correct Python version:

import sys

# sys.version_info(major=3, minor=11, micro=7, releaselevel='final', serial=0)


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answered 4 months ago

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