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When should I choose a different driver type on my cluster vs the worker type?

User16826992666
Valued Contributor

When creating a cluster the driver type defaults to choose the same type as the workers, and this is what I usually choose. But in what of situation would I want to choose a different driver type?

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Accepted Solutions

sean_owen
Databricks Employee
Databricks Employee

Using the same instance type is a fine default. If you know that you need very large workers, but little happens on the driver, maybe you can save money with a smaller driver. Conversely, you may know that some parts of your notebook involve a lot of data pulled to the driver and some heavy compute on the driver - you'd want a larger one in that case. It really depends.

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sean_owen
Databricks Employee
Databricks Employee

Using the same instance type is a fine default. If you know that you need very large workers, but little happens on the driver, maybe you can save money with a smaller driver. Conversely, you may know that some parts of your notebook involve a lot of data pulled to the driver and some heavy compute on the driver - you'd want a larger one in that case. It really depends.

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