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…ng and improve domain/op structure.
…ser_data` for cleaner user data handling
…g for too long key set
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This PR introduces a parallel implementation of multi_get using io_uring for concurrent I/O operations, which significantly reduces latency in scenarios where keys are scattered across many SST files and involve large, I/O-bound reads (e.g., from cold page cache or slow storage)
Benchmark Results
A new ignored benchmark test (multi_get_scattered_large_values_outperforms_single_gets) validates this:
Setup: 64 keys scattered across 64 SSTs, 1 MiB values, compression/filters/block cache disabled, page cache dropped before each run.
Results (on my machine, NVMe SSD):
Average sequential gets time: 67.76 ms
Average multi_get time: 27.39 ms
Speedup: ~2.5x
How to Run the Benchmark
This test requires root privileges (for dropping caches via sudo) and is ignored by default. Run it in release mode for accurate perf:
cargo test --color=always --package lsm-tree --test tree_multi_get sudo_required::multi_get_scattered_large_values_outperforms_single_gets --profile release -- --nocapture --ignoredPrefix with sudo if needed for cache dropping. Adjust num_ssts or value_size in the test for experimentation.
Notes
The test uses sudo in drop_caches() to ensure cold I/O; without it, page cache masks the benefit.