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Warehousing & Analytics
Engage in discussions on data warehousing, analytics, and BI solutions within the Databricks Community. Share insights, tips, and best practices for leveraging data for informed decision-making.
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How do I know which SQL Endpoint size to choose?

User16826992666
Databricks Employee
Databricks Employee
 
1 ACCEPTED SOLUTION

Accepted Solutions

Digan_Parikh
Databricks Employee
Databricks Employee

When sizing, this is the recommendation.

Data set Cluster Size

ITB / rows X-Large+

500GB / 1B rows X-Large

SOGB / IOOM+ rows Large

IOOGB / rows Medium

IOGB / -M rows Small

This table maps SQL endpoint cluster sizes to Databricks cluster driver sizes and worker counts. All workers are i3.2xlarge. 

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2 REPLIES 2

Digan_Parikh
Databricks Employee
Databricks Employee

In general, we can say that bigger clusters will process big queries faster and improve throughput. You should keep in mind that bigger clusters will not help in serving more concurrent queries. Endpoints will auto-scale (add a new cluster) when processing approximately 10 parallel requests

Digan_Parikh
Databricks Employee
Databricks Employee

When sizing, this is the recommendation.

Data set Cluster Size

ITB / rows X-Large+

500GB / 1B rows X-Large

SOGB / IOOM+ rows Large

IOOGB / rows Medium

IOGB / -M rows Small

This table maps SQL endpoint cluster sizes to Databricks cluster driver sizes and worker counts. All workers are i3.2xlarge.