DB Paper Reading 这周继续来营业啦！我们希望通过对业界学术论文的分享，带大家了解数据库学术界最新的研究方向。8 月 31 日晚青云存储工程师 xuanwo 将为大家解读论文 KVSSD: Close integration of LSM trees and flash translation layer for write-efficient KV store，在该论文的基础上，与大家分享业界关于 NVMe 的进展，介绍 KV-SSD 接口。感兴趣的朋友不要错过，赶紧报名约起来~
直播季
PingCAP Paper Reading
时间：2021 年 8 月 31 日晚 19:00-20:00
19:00 - 20:00
KVSSD: Close integration of LSM trees and flash translation layer for write-efficient KV store
丁皓/xuanwo
青云存储工程师
个人博客：xuanwo.io
Content：
这篇 Paper 主要思路是 SSD 上直接提供 KV 接口，将 LSM Tree 与 FTL 深度结合，从而避免从 LSM Tree，主机文件系统到 FTL 多个软件层的写入放大。
Log-Structured-Merge (LSM) trees are a write-optimized data structure for lightweight, high-performance Key-Value (KV) store. Solid State Disks (SSDs) provide acceleration of KV operations on LSM trees. However, this hierarchical design involves multiple software layers, including the LSM tree, host file system, and Flash Translation Layer (FTL), causing cascading write amplifications. We propose KVSSD, a close integration of LSM trees and the FTL, to manage write amplifications from different layers. KVSSD exploits the FTL mapping mechanism to implement copy-free compaction of LSM trees, and it enables direct data allocation in flash memory for efficient garbage collection. In our experiments, compared to the hierarchical design, our KVSSD reduced the write amplification by 88% and improved the throughput by 347%.
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