sagemaker-studio-dataengineering-extensions 1.0.7

A python Package to enhance experience of SageMaker Unified Studio

SageMakerStudioDataEngineeringExtensions

SageMaker Unified Studio Data Engineering Extensions

This package contains several extensions that enhance the experiences for SageMakerStudioDataEngineeringSessions.

This pacakge is depend on SageMaker Unified Studio environment.

List of extensions

• SageMaker Connection Magic JupyterLab Extension
• SageMaker Data Explorer
• SageMaker Jupyter Server Extension
• SageMaker Spark Monitor
• SageMaker Unified Studio Theme
• SageMaker UI Doc Manger JupyterLag Plugin

How to install these extensions

Conda

For Conda users, if you install this package via Conda, all of these extensions are installed by default.

PyPi

For PyPi users, you will need to go to each extension's subfolder and run pip install . to install the extension you want to use.

file structure is as follows:

sagemaker_studio_dataengineering_extensions
├── __init__.py
├── conftest.py
├── py.typed
├── sagemaker_connection_magics_jlextension
├── sagemaker_data_explorer
├── sagemaker_jupyter_server_extension
├── sagemaker_spark_monitor_widget
├── sagemaker_studio_theme
└── sagemaker_ui_doc_manager_jl_plugin

For example, if your python package is locate at /opt/conda/lib/python3.11/site-packages, you will need to go to path /opt/conda/lib/python3.11/site-packages/sagemaker_studio_dataengineering_extensions/sagemaker_connection_magics_jlextension and then run pip install . to install SageMaker Connection Magic JupyterLab Extension.

Extension Details

SageMaker Connection Magic JupyterLab Extension

This package contains a JupyterLab extension which provides a user-friendly experience for switching between different computes. For example, you can use this extension to easily switch from local python compute to different remote computes like EMR Cluster/Glue/EMR-Serverless.

SageMaker Data Explorer

This package contains a JupyterLab extension which provides a side tab inside JupyterLab. That tab supports browsering data from different data source like Redshift/S3/LakeHouse.

SageMaker Jupyter Server Extension

This package contains some Jupyter Server api to support other extensions in SageMaker Unified Studio.

SageMaker Spark Monitor

This package contains a JupyterLab extension which provides a widget showing the progress of a running spark application in remote compute.

Setup

To load this extension, make sure you have iPython config file generated. If not, you could run ipython profile create, then a file with path ~/.ipython/profile_default/ipython_config.py should be generated

Then you will need to add the following line in the end of that config file

c.InteractiveShellApp.extensions.extend(['sagemaker_sparkmonitor.kernelextension'])

once that config is added, restart the JupyterLab kernel to make the config change apply

SageMaker Unified Studio Theme

This package contains a custom Theme for SageMaker Unified Studio

SageMaker UI Doc Manger JupyterLag Plugin

This package is a JupyterLab extension which supports a shortcut from SageMaker Unified Studio portal to open a notebook in JupyterLab.