> For the complete documentation index, see [llms.txt](https://docs.pentaho.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pentaho.com/install/9.3-install/pentaho-configuration/tasks-to-be-performed-by-an-it-administrator/set-up-the-adaptive-execution-layer-ael/advanced-topics/spark-tuning-landing-page-cp/configuring-application-tuning-parameters-for-spark/spark-tuning-process.md).

# Spark tuning process

The following property and parameter configurations are part of a Spark tuning strategy that follows a three-step approach:

1. [Set the Spark parameters globally](/install/9.3-install/pentaho-configuration/tasks-to-be-performed-by-an-it-administrator/set-up-the-adaptive-execution-layer-ael/advanced-topics/spark-tuning-landing-page-cp/configuring-application-tuning-parameters-for-spark/spark-tuning-process/application-tuning-parameters-for-transformations/set-the-spark-parameters-globally.md). Use the AEL properties file to set the application tuning parameters. These parameters are deployed on the cluster or the Pentaho Server, and act as a baseline for all transformations and users.
2. [Set the Spark parameters locally in PDI](/install/9.3-install/pentaho-configuration/tasks-to-be-performed-by-an-it-administrator/set-up-the-adaptive-execution-layer-ael/advanced-topics/spark-tuning-landing-page-cp/configuring-application-tuning-parameters-for-spark/spark-tuning-process/application-tuning-parameters-for-transformations/set-the-spark-parameters-locally-in-pdi.md). When running a transformation in PDI, you can override the global application tuning parameters. These settings are specific to the user and the transformation run.
3. [Set Spark tuning options on a PDI step](/install/9.3-install/pentaho-configuration/tasks-to-be-performed-by-an-it-administrator/set-up-the-adaptive-execution-layer-ael/advanced-topics/spark-tuning-landing-page-cp/opening-spark-tuning-options-cp/setting-spark-tuning-options.md). Open the Spark tuning parameters for a step in a transformation to further fine tune how your transformation runs.


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