The article explains how batching cache‑sync operations for dma_map_sg, dma_unmap_sg and dma_sync_sg on arm64 can cut their execution time by up to three‑fold, details the kernel patches introduced, and presents benchmark results on Dimensity 9500 and RK3588 platforms.
This article compares two methods for synchronizing MySQL data with Redis cache—using MySQL triggers combined with a UDF function, and parsing MySQL binlog via tools like Canal—detailing their workflows, advantages, limitations, and implementation considerations.
This article explains two methods for keeping MySQL data in sync with a Redis cache—using MySQL triggers with a UDF function and parsing MySQL binlog streams—detailing their processes, advantages, limitations, and related open‑source tools like Canal.
This article explains two technical solutions for keeping MySQL data in sync with Redis cache—using a MySQL trigger with a UDF function and parsing MySQL binlog events—while also reviewing the Canal open‑source tool and discussing their trade‑offs and implementation details.
This article explains two methods for keeping MySQL data in sync with a Redis cache—using MySQL triggers combined with a UDF function and parsing MySQL binlog via Alibaba's Canal—detailing their principles, implementation steps, advantages, limitations, and practical deployment considerations.
The article explains two technical methods for keeping MySQL and Redis in sync—using MySQL triggers with a custom UDF to write directly to Redis, and parsing MySQL binlog streams (or using Alibaba's Canal) to propagate changes, while discussing their suitable scenarios, challenges, and implementation details.
This article explains two practical methods for keeping MySQL and Redis cache in sync—using MySQL triggers with UDF functions or parsing binlog events—and introduces the open‑source Canal project for incremental log parsing, while also discussing the pitfalls of reverse synchronization.
This article explains two technical methods for keeping MySQL data in sync with a Redis cache—using MySQL triggers combined with a UDF function and parsing MySQL binary logs (with Canal)—detailing their workflows, advantages, limitations, and implementation considerations.
This article explains the motivation behind cache design, compares CPU and application‑level caches, discusses multi‑level and distributed caching, outlines synchronization methods, eviction policies, and answers frequent cache‑related questions to help reduce database load and improve system performance.
