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• W4282032011 abstract "Log-structured merge (LSM) trees have emerged as one of the most commonly used disk-based data structures in modern data systems. LSM-trees employ out-of-place ingestion to support high throughput for writes, while their immutable file structure allows for good utilization of disk space. Thus, the log-structured paradigm has been widely adopted in state-of-the-art NoSQL, relational, spatial, and time-series data systems. However, despite their popularity, there is a lack of pedagogical textbook-like material on LSM designs. The goal of this tutorial is to present the fundamental principles of the LSM paradigm along with a digest of optimizations and new designs proposed in recent research and adopted by modern LSM engines. This will serve as introductory material for non-experts, and as a roadmap to cutting-edge LSM results for the LSM-aware researchers and practitioners." @default.
• W4282032011 created "2022-06-13" @default.
• W4282032011 creator A5023612984 @default.
• W4282032011 creator A5053040916 @default.
• W4282032011 date "2022-06-10" @default.
• W4282032011 modified "2023-10-18" @default.
• W4282032011 title "Dissecting, Designing, and Optimizing LSM-based Data Stores" @default.
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• W4282032011 doi "https://doi.org/10.1145/3514221.3522563" @default.
• W4282032011 hasPublicationYear "2022" @default.
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