Madhan Neethiraj created RANGER-1146:
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Summary: Policy engine optimization: dynamic reordering of policy
evaluation order
Key: RANGER-1146
URL: https://issues.apache.org/jira/browse/RANGER-1146
Project: Ranger
Issue Type: Bug
Components: plugins
Reporter: Madhan Neethiraj
During initialization, the policy engine sorts the policy evaluators such that
the policies most likely to match many requests are evaluated at the top. To
aid this ordering, a eval-score is computed for each policy based on the
contents of the policy - like users/groups, accessTypes, resource-values, etc.
However, this order may not be the most efficient for the access request
pattern at runtime. It will help to reorder the policies dynamically based on
the number of decisions made by each policy. For example, each time a policy
determines the result of an access request, its hit-score should be
incremented. Periodically the policies should be reordered to place policies
that made most decisions at the top - so that fewer policies need to be
evaluated to determine the access request.
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