Part Log Based Diagnostics Run all queries from checks.sql (cluster-wide) and interpret the top offenders by rate (events/min), volume (rows/bytes), and errors . Notes: Default timeframes are relative (e.g., last 1h/6h/24h). Only switch to an explicit time range when the user provides one in the prompt. Replace {cluster} with your ClickHouse cluster name (DataGrip). Keep queries time-bounded ( event_time > now() - INTERVAL ... ) and use LIMIT . If a query fails due to schema differences, run DESCRIBE TABLE system.part_log and drop only missing fields. Cross-module triggers: High NewPart rate / micro-batches → load altinity-expert-clickhouse-ingestion + altinity-expert-clickhouse-merges High MutatePart rate → load altinity-expert-clickhouse-mutations Many DownloadPart → load altinity-expert-clickhouse-replication Merge saturation / slow merges → load altinity-expert-clickhouse-merges + altinity-expert-clickhouse-storage
altinity-expert-clickhouse-part-log
安装
npx skills add https://github.com/altinity/skills --skill altinity-expert-clickhouse-part-log