Tactics for Enhancing Write Ahead Log for Long-Term System Maintenance

With the rapid advancement of IT technology, data resilience has become crucial for driving the digital transformation of modern enterprises. In this technological trend, Write Ahead Log (WAL) has emerged as a fundamental technique for ensuring data resilience, highlighting its growing importance. However, most WAL literature does not address design issues in long-term maintenance. This study explores three design issues related to long-term WAL maintenance: acquiring the latest index, log segmentation and reassembly, and index reset after consolidation. The proposed designs are implemented as a proof-of-concept prototype. Subsequently, a series of experiments are conducted to examine the impact of these designs on performance, CPU/memory resource consumption, and index optimization. We hope that the proposed techniques will contribute to practical WAL design.