Unverified50% confidenceFactExact time
Refactoring the database schema is a high-risk operation in production environments, as modifying the schema may involve data migration, table locking and downtime.
1
Sources
50%
Confidence
Long-term
Relevance
10/31/2026
First Seen
Sources
Related Entities
Related Claims
Unverified当数据库 Schema 变更时，原有的数据生成脚本往往需要全部重写74% similarUnverifiedDatabase changes are stateful, and a single erroneous schema change can result in irreversible data loss74% similarUnverifiedDatabase migration is a typical high-risk change scenario: it may modify table structures, rewrite data, affect online query performance, and once something goes wrong it is often difficult to roll back quickly and may cause data loss or service interruption.73% similarUnverifiedSchema changes in production environments are high-risk operations: field type changes can cause existing data to become unparseable, and deleting columns results in permanent data loss.73% similarUnverifiedRuntime schema introspection has two fundamental limitations: it adds query latency and database load, and it can only obtain structural information without understanding the business semantics of fields.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1120501API
curl https://kongchang.com/api/v1/knowledge/claims/1120501MCP
get_claim(id=1120501)