Unlike formats like Apache Avro or Protocol Buffers , raw Nippy files don't inherently handle changes to your data structure (e.g., adding a new field) as gracefully over long periods. Key Comparisons Standard LSM (SSTable) LSM with Nippy Files Write Speed Very High Read Speed Moderate (optimized via bloom filters) High (fast deserialization) Portability High (often JSON/MessagePack) Low (Clojure-centric) Use Case General NoSQL Databases High-performance Clojure apps
(PDF) The log-structured merge-tree (LSM-tree) - ResearchGate Lsm Might A Well Use J Nippyfile But There Is A...
: Typically refers to a high-performance serialization format or a specific file storage implementation (often associated with the Clojure ecosystem and the Nippy library) used for fast data persistence. The Trade-off: "Might as well use... but there is a..." Unlike formats like Apache Avro or Protocol Buffers
The user likely refers to the trade-offs between using a custom, high-performance serialization format (like a in the Clojure ecosystem) and the standard SSTables (Sorted String Tables) that LSM engines typically use. Contextual Meaning but there is a
LSM trees do not need write-ahead log in general case - Hacker News
Recently, a provocative idea has surfaced in niche database engineering circles: