Musing about using profile-guided-optimization for PostgreSQL JIT, to improve future JITed programs would be worthwhile. Difficulty would be when and for how long to to train, and how to deal with different workloads.
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Sounds reasonable. Is there an estimated cost involved such that we can profile expressions that we thought would take X but ended up taking kX, and profile expressions were k > something-clever?
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I doubt it. For one I've no idea how to estimate expected time, for another measuring the timing would be expensive.
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Using global PGO data seems like it'd throw away a lot of benefit.
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