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Description
A test with a important data set containing all Red Hat CVEs and OSVs with about 45% of the Red Hat CVEs and tested with a unique SBOM through a complex query such as http://localhost:8080/api/v2/sbom/urn%3Auuid%3A019a584a-cb0e-7ee0-9bff-a567e938b63d/advisory takes about 12 minutes and make trustd to use over 40GB of memory.
Meanwhile when running two queries as above concurrently makes trustd to consume over 64GB.
This is related to #2039, and the concern is about production requirements for big data set and what could we do to tackle the memory consumption.