trino-docker-compose-stack

What problem does it solve?

This Skill solves the problem of setting up a complete, reproducible local Trino lakehouse environment with all required dependencies so you can develop and validate SQL, Iceberg catalogs, dbt models, and orchestration workflows without manual configuration drift.

Core Features & Use Cases

• End-to-end local lakehouse stack: Trino coordinator+worker, Hive Metastore (PostgreSQL backend), MinIO (S3-compatible), and Iceberg catalog wiring.
• Data and workflow tooling included: Airflow for pipeline execution, dbt for model runs, Superset for BI exploration, and Prometheus+Grafana for monitoring.
• Developer-friendly reproducibility: isolated bridge networks, persistent volumes, healthchecks with startup ordering, and pinned Trino image version for consistent behavior.
• Use Case: Recreate production-like failures in an isolated environment by running a dbt project and validating Iceberg table creation/querying through Trino, while observing metrics and UI-driven inspection.

Quick Start

Use this skill to stand up the full local environment by running docker compose up -d in the skill directory, then open Trino at http://localhost:8080 to start validating your Iceberg schemas and queries.