Consistency in Sharded Databases and Tables
Preface: The “Day Two” Challenge After Database and Table Sharding In the architectural evolution of large-scale microservices, database and table sharding is often regarded as the “silver bullet” for solving massive data storage and high-concurrency write challenges. When we excitedly use Apache ShardingSphere to split a monolithic database into 16 sharded databases and 1,024 sharded tables, watching system throughput soar, we often overlook a serious problem that follows closely—operations and consistency. On the “day two” after sharding goes live, development and operations teams typically face the following soul-searching questions: ...