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A simple API to collect some statistics after compaction to easily understand the result. The tool reads the layer map, and analyze range by range instead of doing single-key operations, which is more efficient than doing a benchmark to collect the result. It currently computes two key metrics: * Latest data access efficiency, which finds how many delta layers / image layers the system needs to iterate before returning any key in a key range. * (Approximate) PiTR efficiency, as in https://github.com/neondatabase/neon/issues/7770, which is simply the number of delta files in the range. The reason behind that is, assume no image layer is created, PiTR efficiency is simply the cost of collect records from the delta layers, and the replay time. Number of delta files (or in the future, estimated size of reads) is a simple yet efficient way of estimating how much effort the page server needs to reconstruct a page. Signed-off-by: Alex Chi Z <chi@neon.tech>