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Stack Advisor

With each stack containing multiple complex services, it becomes necessary to dynamically determine how the services are laid out on the cluster, and for determining values of certain configurations.
Ambari provides the Stack Advisor capability where stacks can write a Python script named stack-advisor.py in the services/ folder. Example: HDP-2.0.6. 
Stack-advisor scripts automatically extend the parent stack-version's stack-advisor scripts. This allows newer stack-versions to change behavior without effecting earlier behavior.

Stack advisors provide information on 4 important aspects:

  1. Recommend layout of services on cluster
  2. Recommend service configurations
  3. Validate layout of services on cluster
  4. Validate service configurations

By providing the stack-advisor.py file, one can control dynamically each of the above. 

The main interface for the stack-advisor scripts contains documentation on how each of the above are called, and what data is provided