.png){kind=icon}
Return
Two-Phase Locking Optimization Towards Dynamic High-Contented Workloads
.png){kind=icon}
PRE
AI
DOI：10.1109/tkde.2026.3724702.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Two-phase locking (2PL) is a fundamental and widely used concurrency control protocol. It regulates concur rent access to database data by following a specific sequence of lock acquisition and release 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 that this issue is exacerbated in high-contented workloads at Tencent, where lock contention can severely degrade system performance. While existing optimiza tions demonstrate some effectiveness in high-contention scenarios, their performance remains insufficient because they suffer from lock contention and hotspot access waits. This paper presents optimizations in lock management imple mented in Tencent's database, TXSQL, with a particular focus on high-contention scenarios. First, we discuss our motivations and the journey toward general lock optimization, which includes lightweight lock management, a copy-free active transaction list, and queue locking mechanisms that effectively enhance concurrency. Second, we introduce a hotspot-aware approach that enables certain highly conflicting transactions to switch to a group locking method, which groups conflicting transactions at a specific hotspot and allows them to execute serially in an uncommitted state within a conflict group without the need for locking, thereby reducing lock contention. Our evaluation shows that under high-contented workloads, TXSQL achieves performance improvements of up to 6.5x and up to 22.3x compared to state-of-the-art methods and systems, respectively.
Keywords:
Optimization
Databases
Protocols
System recovery
Schedules
Scheduling
Synchronization
Timing
Concurrency control
Database systems
Journal
IF:
10.4
Papers:
6.8K
Citations:
3.2W
Organization
Cited Papers
No cited papers available