TXSQL: Lock Optimizations Towards High Contented Workloads

Two-phase locking (2PL) is a fundamental and widely used concurrency control protocol. It regulates concurrent access to database data by following a specific sequence of acquiring and releasing locks during transaction execution, thereby ensuring transaction isolation. However, in strict 2PL, transactions must wait for conflicting transactions to commit and release their locks, which reduces concurrency and system throughput. We have observed this issue is exacerbated in high-contented workloads at Tencent, where lock contention can severely degrade system performance. While existing optimizations demonstrate some effectiveness in high-contention scenarios, their performance remains insufficient, as they suffer from lock contention and waiting in hotspot access.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1145/3722212.3724457
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
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article

TXSQL: Lock Optimizations Towards High Contented Workloads

Anqun Pan, Wei Lü, Xiaoyong Du, Hailin Lei et al.
1 citations
Cloud Computing and Resource Management
3.25
article

TXSQL: Lock Optimizations Towards High Contented Workloads

Anqun Pan, Wei Lü, Xiaoyong Du, Hailin Lei, Chong Zhu, Lixiong Zheng, Wang Song-li, Feng Zhang, Yunpeng Chai, Yuxing Chen, Wei Jiang, Chengyao Jiang, Donghui Wang
article en
1 citations

Abstract

Two-phase locking (2PL) is a fundamental and widely used concurrency control protocol. It regulates concurrent access to database data by following a specific sequence of acquiring and releasing locks during transaction execution, thereby ensuring transaction isolation. However, in strict 2PL, transactions must wait for conflicting transactions to commit and release their locks, which reduces concurrency and system throughput. We have observed this issue is exacerbated in high-contented workloads at Tencent, where lock contention can severely degrade system performance. While existing optimizations demonstrate some effectiveness in high-contention scenarios, their performance remains insufficient, as they suffer from lock contention and waiting in hotspot access.

Tencent (China) (CN), Renmin University of China (CN)
Openalex Percentile: Top 8%
Cloud Computing and Resource Management
3.25
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TXSQL: Lock Optimizations Towards High Contented Workloads — Anqun Pan, Wei Lü, et al. · (2025) | TGRS Research Map | TGRS