Entry-point guide for agents to use GreptimeDB end-to-end — when it fits, how to deploy (Docker / binary / Kubernetes / GreptimeCloud), how to configure the server (storage backend, TTL, auth, listen addresses), which write protocol to choose by data type…
Convert InfluxQL SELECT queries into SQL supported by GreptimeDB and identify semantics that cannot be translated exactly. Use for InfluxDB-to-GreptimeDB migrations, Grafana query rewrites, InfluxQL time-window and fill conversions, function migrations, or…
Guide for designing a GreptimeDB table schema for performance, and for improving an existing table. Covers primary key, append-only vs deduplication + merge mode, indexes (inverted/skipping/fulltext), wide vs multiple tables, and partitioning. Use when the…
Guide for verifying a GreptimeDB deployment is healthy after deploying or restarting — checks pod/deployment readiness, object-store access via a functional write/read smoke test, error logs, key metrics, and that ingestion recovered to the expected rate. Use…
Guide for diagnosing GreptimeDB performance problems — find the bottleneck behind a slow query, lagging or stalled ingestion, or high CPU/memory, then hand off to the right fix. Use when the user reports something is slow or resource-hungry and wants to know…
Guide for tuning GreptimeDB server config and table options for better performance — cache sizing, write buffer, WAL, and ingestion throughput. Use when the user wants to speed up queries or writes, reduce object-store reads, fix write stalls/rejects, or…
Guide for creating GreptimeDB flow tasks — continuous aggregation that updates a sink table on the fly as data is ingested. Use when the user asks to build a materialized view, continuous aggregation, downsampling job, or rollup. Triggers on phrases like…
Locate GreptimeDB self-monitoring incident windows and safely export complete logs, with optional related metrics, for engineering investigation.