Benchmarking RocksDB’s Three Amplification Factors
This story was originally published on HackerNoon at: https://hackernoon.com/benchmarking-rocksdbs-three-amplification-factors.
Four RocksDB experiments show how deletes, key order, Bloom filters and compaction I/O distort read, write and space amplification.
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RocksDB benchmarks show that deletes can increase disk usage, L0 files can raise lookup latency and sequential keys can conceal write amplification. The larger lesson is that key distribution, system load and compaction capacity matter more than any isolated configuration knob.
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