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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

SaravananPalani
by New Contributor II
  • 22492 Views
  • 8 replies
  • 9 kudos

Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?

I am looking for something preferably similar to Windows task manager which we can use for monitoring the CPU, memory and disk usage for local desktop.

  • 22492 Views
  • 8 replies
  • 9 kudos
Latest Reply
hitech88
New Contributor II
  • 9 kudos

Some important info to look in Gangalia UI in CPU, memory and server load charts to spot the problem:CPU chart :User %Idle %High percentage of user % indicates heavy CPU usage in the cluster.Memory chart : Use %Free %Swap % If you see purple line ove...

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Michael_Galli
by Contributor III
  • 3280 Views
  • 1 replies
  • 1 kudos

Resolved! Pipelines with alot of Spark Caching - best practices for cleanup?

We have the situation where many concurrent Azure Datafactory Notebooks are running in one single Databricks Interactive Cluster (Azure E8 Series Driver, 1-10 E4 Series Drivers autoscaling).Each notebook reads data, does a dataframe.cache(), just to ...

  • 3280 Views
  • 1 replies
  • 1 kudos
Latest Reply
Hubert-Dudek
Esteemed Contributor III
  • 1 kudos

This cache is dynamically saved to disk if there is no place in memory. So I don't see it as an issue. However, the best practice is to use "unpersist()" method in your code after caching. As in the example below, my answer, the cache/persist method ...

  • 1 kudos
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