LSM-based Storage Techniques¶
Luo, C., & Carey, M. J. (2020). LSM-based Storage Techniques: A Survey. The VLDB Journal, 29(1), 393-418.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Two-Store Architecture
- The predicted failures match the omissions: skip the WAL and a crash mid-window loses the memtable; defer compaction chronically and read amplification explodes as un-merged SSTables accumulate.
This sourceSurveys LSM compaction policies and the read-amplification cost of chronically deferred compaction.
Supported in partVerified against the work's full text
The survey supports both mechanisms qualitatively: a WAL secures buffered writes, and un-merged disk components slow reads. It gives no "explodes" severity or the memtable-loss scenario.
“As disk components accumulate over time, the query performance of an LSM-tree tends to degrade since more components must be examined.”
- The predicted failures match the omissions: skip the WAL and a crash mid-window loses the memtable; defer compaction chronically and read amplification explodes as un-merged SSTables accumulate.
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Registry ID ref:8d819722304b · see in the full table