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