WeChat avoids server crashes during midnight step-count resets for 1 billion users by using logical time-based versioning instead of physical updates, a custom PaxosStore for atomic increments, delayed double-write buffers for clock skew, Redis ZSet sharding for rankings, and asynchronous cold-data archival during low-traffic hours.
This article explains the concept and benefits of logical deletion, then demonstrates how to implement it in Spring Boot 3 using JPA annotations like @SQLDelete and @SoftDelete, and MyBatis‑Plus configuration, complete with code examples and SQL output.
This article explains how the @TableLogic annotation in MyBatis-Plus implements logical deletion by converting delete operations into updates, details its parameters, supported field types, global configuration, and provides complete Java and SQL code examples for practical usage.
The article explains how many backend services use logical deletion—simply flagging or masking user data instead of physically removing it—to appear compliant with standards like China's GB/T 35273, while highlighting risks such as continued e‑bike control, fraud detection challenges, and missed logout handling.
This guide walks through integrating MyBatis‑Plus with Spring Boot, covering dependency setup, configuration, entity annotations, CRUD operations, pagination, logical deletion, enum handling, automatic field filling, multi‑data‑source support, and testing with concrete code examples and detailed explanations.
This comprehensive tutorial demonstrates how to integrate MyBatis-Plus with Spring Boot, covering basic setup, entity and mapper creation, CRUD operations, condition wrappers, pagination, logical deletion, automatic field filling, optimistic locking, and advanced features such as multi‑tenant and dynamic table name handling, complete with code examples.
