LSM-based Storage Techniques: A Survey
Abstract
Recently, the Log-Structured Merge-tree (LSM-tree) has been widely adopted for use in the storage layer of modern NoSQL systems. Because of this, there have been a large number of research efforts, from both the database community and the operating systems community, that try to improve various aspects of LSM-trees. In this paper, we provide a survey of recent research efforts on LSM-trees so that readers can learn the state-of-the-art in LSM-based storage techniques. We provide a general taxonomy to classify the literature of LSM-trees, survey the efforts in detail, and discuss their strengths and trade-offs. We further survey several representative LSM-based open-source NoSQL systems and discuss some potential future research directions resulting from the survey.
Cite
@article{arxiv.1812.07527,
title = {LSM-based Storage Techniques: A Survey},
author = {Chen Luo and Michael J. Carey},
journal= {arXiv preprint arXiv:1812.07527},
year = {2019}
}
Comments
This is a pre-print of an article published in VLDB Journal. The final authenticated version is available online at: https://doi.org/10.1007/s00778-019-00555-y