December 2021
Intermediate to advanced
230 pages
4h 17m
English
Content preview from Optimizing Databricks Workloads
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Chapter 4: Managing Spark Clusters
A Spark cluster in Azure Databricks is probably the most important entity in the service. Although it is managed for us from the infrastructure end, we must understand the right cluster setting for an environment.
In this chapter, we will learn about the best practices to manage our Spark clusters to optimize our workloads. We will also learn about the Databricks managed resource group, which will help us understand how Azure Databricks is provisioned.
We will learn how to optimize costs associated with Spark clusters with pools and spot instances. In the end, we will learn about the essential components of the Spark UI that can help us debug and optimize queries.
In this chapter, we will cover the following ...
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