To make schema cache loading wait tests robust it is necessary to provide three separate internal config variables:
* "internal-schema-cache-query-sleep" - introduces delay in schema queries execution
* "internal-schema-cache-load-sleep" - introduces delay between schema queries execution and processing their results
* "internal-schema-cache-relationship-load-sleep" - introduces delay in processing relationship query results
Thanks to these changes it is now possible to test various schema loading scenarios with the right granularity robustly (eg. make sure requests wait for schema loading but not for relationship loading).
Changes:
1. Refactoring and some cleanup of JWT handling code:
* Instead of caching AuthResult cache decoded claims (which signature was verified). Validating claims and determining role is done after cache lookup
* Cleaned up API so that usage of it is simplified: lookupJwtCache cache key >>= parseClaims configJwtAud time
* Handling of JwtCacheState initialization and updates of configuration is encapsulated in Auth.JwtCache module
2. Generic high performance (hopefully) scalable, dynamically resizeable cache implementation based on stm, stm-hamt and sieve algorithm. It also integrates with PostgREST measurements infrastructure providing usage stats (ie. hit ratio, evictions count)
Until now we had a load test with 50k unique JWTs signed with symmetric key.
This commit adds a new load test with 10k JWTs signed with RSA 4096.
Existing -k jwt parameter was changed to -k jwt-hs-50k.
New test is run with -k jwt-rsa-10k parameter.
Additionally a new parameter --jwtcache=off was added to turn off JWT caching in the above load tests.
This change introduces a PostgREST.Auth.Jwt module containing JWT validation functions.
The reason to extract them from Auth is to enable JwtCache module to reuse them without introducing module dependency cycle.
