90853409a0
Both authentication and authorization will hit the underlying security repository (e.g. files, LDAP, etc.). For example, creating a JMS connection and a consumer will result in 2 hits with the *same* authentication request. This can cause unwanted (and unnecessary) resource utilization, especially in the case of networked configuration like LDAP. There is already a rudimentary cache for authorization, but it is cleared *totally* every 10 seconds by default (controlled via the security-invalidation-interval setting), and it must be populated initially which still results in duplicate auth requests. This commit optimizes authentication and authorization via the following changes: - Replace our home-grown cache with Google Guava's cache. This provides simple caching with both time-based and size-based LRU eviction. See more at https://github.com/google/guava/wiki/CachesExplained. I also thought about using Caffeine, but we already have a dependency on Guava and the cache implementions look to be negligibly different for this use-case. - Add caching for authentication. Both successful and unsuccessful authentication attempts will be cached to spare the underlying security repository as much as possible. Authenticated Subjects will be cached and re-used whenever possible. - Authorization will used Subjects cached during authentication. If the required Subject is not in the cache it will be fetched from the underlying security repo. - Caching can be disabled by setting the security-invalidation-interval to 0. - Cache sizes are configurable. - Management operations exist to inspect cache sizes at runtime. |
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| common | ||
| features | ||
| perf/jmeter | ||
| protocols | ||
| pom.xml | ||