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As a result of RAM becoming cheaper, there has been a trend in key-valuestore design towards maintaining a fast in-memory index (such as a hash table)while logging user operations to disk, allowing high performance underfailure-free conditions while still being able to recover from failures. Thisdesign, however, comes at the cost of long recovery times or expensivecheckpoint operations. This paper presents a new in-memory index that is alsostorage-friendly. A "lazy-trie" is a variant of the hash-trie data structurethat achieves near-optimal height, has practical storage overhead, and can bemaintained on-disk with standard write-ahead logging.  We implemented CedrusDB, persistent key-value store based on a lazy-trie. Thelazy-trie is kept on disk while made available in memory using standardmemory-mapping. The lazy-trie organization in virtual memory allows CedrusDB tobetter leverage concurrent processing than other on-disk index schemes (LSMs,B+-trees). CedrusDB achieves comparable or superior performance to recentlog-based in-memory key-value stores in mixed workloads while being able torecover quickly from failures.

CedrusDB: Persistent Key-Value Store with Memory-Mapped Lazy-Trie