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Chrome/Edge high memory usage for Databricks tabs.

enhancederroruk
New Contributor II

Is it normal for Databricks tabs to be using such high memory?
The Chrome example I just got a screenshot of was this (rounded up/down)...

3 x Databricks tabs for one user, sized at
6gb, 4.5gb, and 2gb

Total = 12.5gb

I know it gets higher than this too, I've just not caught it in the act yet.

It gets to the point that Chrome/Edge uses up all the memory and eventually crashes.

Is Databricks known for consuming all the memory in browsers? ie: memory leaking.

2 REPLIES 2

enhancederroruk
New Contributor II

Anyone?

Kaniz_Fatma
Community Manager
Community Manager

Hi @enhancederroruk, Databricks is a powerful platform for big data analytics and machine learning, but it can indeed be memory-intensive, especially when running complex workloads.

 

Let’s explore some aspects related to memory usage in Databricks:

 

  1. Cluster Metrics:
  2. Spark Workloads and Data Spills:
  3. Git Integration and Repository Limits:
  4. Resource Considerations:

In summary, while Databricks can be memory-intensive, understanding cluster metrics, optimizing Spark workloads, and monitoring resource usage can help manage memory effectively. If you continue to experience memory issues, consider adjusting your cluster configuration or workload strategies.

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