Optimize Cluster Uptime by Avoiding Unwanted Library or Jar Installations

[hari-prasad]

Whenever we discuss clusters or nodes in any service, we need to address the cluster bootstrap process. Traditionally, this involves configuring each node using a startup script (startup.sh).

In this context, installing libraries in the cluster is part of the bootstrap process. This can increase the cluster or node's startup time, as the necessary libraries must be uploaded and installed on each node.

Therefore, it's crucial to limit and focus on only the essential libraries required for your job, ignoring any unnecessary ones.

[Alberto_Umana]

For further details on managing init scripts and optimizing the bootstrap process, you can refer to the Databricks documentation on init scripts. This documentation provides recommendations for using built-in platform features instead of init scripts whenever possible, as widespread use of init scripts can slow migration to new Databricks Runtime versions and prevent the adoption of some Databricks optimizations.

https://docs.databricks.com/en/init-scripts/index.html

[VZLA]

@hari-prasad thanks for your post and insights!

Was this meant to be a sharing experience, or did you have any specific doubts or concerns to discuss? Please let us know, happy to help.

[hari-prasad]

I'm sharing my experience here. Thank you for follow up!