spark-rapids-user-tools 23.8.0

A simple wrapper process around cloud service providers to run tools for the RAPIDS Accelerator for Apache Spark.

spark-rapids-user-tools

User tools to help with the adoption, installation, execution, and tuning of RAPIDS Accelerator for Apache Spark.

The wrapper improves end-user experience within the following dimensions:

1. Qualification: Educate the CPU customer on the cost savings and acceleration potential of RAPIDS Accelerator for Apache Spark. The output shows a list of apps recommended for RAPIDS Accelerator for Apache Spark with estimated savings and speed-up.
2. Bootstrap: Provide optimized RAPIDS Accelerator for Apache Spark configs based on GPU cluster shape. The output shows updated Spark config settings on driver node.
3. Tuning: Tune RAPIDS Accelerator for Apache Spark configs based on initial job run leveraging Spark event logs. The output shows recommended per-app RAPIDS Accelerator for Apache Spark config settings.
4. Diagnostics: Run diagnostic functions to validate the Dataproc with RAPIDS Accelerator for Apache Spark environment to make sure the cluster is healthy and ready for Spark jobs.

Getting started

Set up a Python environment with a version between 3.8 and 3.10

1. Run the project in a virtual environment.

   $ python -m venv .venv
   $ source .venv/bin/activate
   

2. Install spark-rapids-user-tools

   • Using released package.

     $ pip install spark-rapids-user-tools
     

   • Install from source.

     $ pip install -e .
     

   • Using wheel package built from the repo (see the build steps below).

     $ pip install <wheel-file>
     

3. Make sure to install CSP SDK if you plan to run the tool wrapper.

Building from source

Set up a Python environment similar to the steps above.

1. Run the provided build script to compile the project.

   $ ./build.sh
   

Usage and supported platforms

Please refer to spark-rapids-user-tools guide for details on how to use the tools and the platform.

What's new

Please refer to CHANGELOG.md for our latest changes.