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.
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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Figured as much. Would be neat to profile outliers and anomalies for long tail optimization on top of hot spots.
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profile != profile guided optimization. I don't think monitoring performance for outliers should be tied to PGO.
End of conversation
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