数据库与存储
clickhouse-analytics-error-handling
更新于 2026-08-09
ClickHouse · 错误处理规则
Error-handling rules for ClickHouse: classification, typed codes and single-point mapping to user outcomes.
- 技术栈
- ClickHouse
- 主题
- 错误处理
- 条目
- 9 条
- 版本
- v0.2.0
✓ 应当这么做
- ✓ Classify failures once: expected (validation, not-found) vs unexpected (bugs, dependencies down)
- ✓ Return typed errors carrying a stable code plus human-readable context
- ✓ Map errors to user-visible outcomes at the outermost layer only
✕ 常见反模式
- ✕ String matching on error messages to decide control flow
- ✕ Swallowing an error to keep the happy path green
- ✕ Leaking stack traces or internal identifiers to end users
◎ 交付前验证
- ◎ EXPLAIN on the hot queries shows no sequential scan regression
- ◎ Migration rehearsed on a production-size snapshot
- ◎ Rollback path executed at least once in staging
同分类条目
26 篇数据库与存储
PostgreSQL 工程规则
Zero-downtime PostgreSQL rules: expand/contract phases and concurrent index builds
数据库与存储
MySQL 工程规则
MySQL rules: online DDL awareness, lock timeouts and reversible migrations
数据库与存储
Redis 工程规则
Redis rules: explicit TTLs, versioned keys and stampede-safe misses
数据库与存储
MongoDB 工程规则
MongoDB rules: explicit schema validators and index-backed query shapes
数据库与存储
ClickHouse 工程规则
ClickHouse rules: partition pruning, column ordering and batch inserts
数据库与存储
Elasticsearch 工程规则
Elasticsearch rules: alias-based reindexing and mapping compatibility