Tair-PMem

Author:

Gong Caixin1,Tian Chengjin1,Wang Zhengheng1,Wang Sheng1,Wang Xiyu1,Fu Qiulei1,Qin Wu1,Qian Long1,Chen Rui1,Qi Jiang1,Wang Ruo1,Zhu Guoyun1,Yang Chenghu1,Zhang Wei1,Li Feifei1

Affiliation:

1. Alibaba Group

Abstract

In-memory databases (IMDBs) have been the backbone of modern systems that demand high throughput and low latency. Because of the cost and volatility of DRAM, IMDBs become incompetent when dealing with workloads that require large data volume and strict durability. The emergence of non-volatile memory (NVM) brings new opportunities for IMDBs to tackle this situation. However, it is non-trivial to build an NVM-based IMDB, due to performance degradation, NVM programming complexity, and other challenges. In this paper, we present Tair-PMem , an NVM-based enterprise-strength database atop Redis, the most popular IMDB. Tair-PMem adopts a well-controlled data layout and a log-as-user-data design to mitigate NVM overheads. It eases the NVM programming complexity by providing a hybrid memory programming toolkit. To better leverage the enterprise-strength features and implementations from Redis, Tair-PMem retrofits it in a less intrusive way to achieve full compatibility and stability, while retaining its advanced features. With all of the above techniques elaborately implemented, Tair-PMem satisfies full durability, high throughput, and low latency at the same time. Tair-PMem has now been publicly available as a cloud service on Alibaba Cloud. To the best of our knowledge, Tair-PMem is the first cloud service that makes good use of the persistence capability of NVM.

Publisher

Association for Computing Machinery (ACM)

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Reference50 articles.

1. The S-Linked List-A Variant Of The Linked List Data Structure;Aderonke O Akinde;Journal of Emerging Trends in Computing and Information Sciences,2013

2. Apache. 2008 . Cassandra . Retrieved January 25, 2022 from http://cassandra.apache.org Apache. 2008. Cassandra. Retrieved January 25, 2022 from http://cassandra.apache.org

3. FASTER

4. Jiqiang Chen , Liang Chen , Sheng Wang , Guoyun Zhu , Yuanyuan Sun , Huan Liu , and Feifei Li . 2020 . HotRing: A Hotspot-Aware In-Memory Key-Value Store. In 18th USENIX Conference on File and Storage Technologies (FAST 20) . 239--252. Jiqiang Chen, Liang Chen, Sheng Wang, Guoyun Zhu, Yuanyuan Sun, Huan Liu, and Feifei Li. 2020. HotRing: A Hotspot-Aware In-Memory Key-Value Store. In 18th USENIX Conference on File and Storage Technologies (FAST 20). 239--252.

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