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pleasefixai/clickhouse-best-practices

v1.0.1Apache-2.0

Guides for ClickHouse schemas, queries, ingestion and Cloud services, chDB and ClickStack.

chdb-sql

Use when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) without setting up a server. Provides chDB — embedded ClickHouse SQL in Python with 1000+ functions, Session for stateful multi-step pipelines, parametrized queries, and cross-source joins via s3(), mysql(), postgresql(), iceberg(), deltaLake(), remoteSecure() table functions. TRIGGER when: user wants SQL on parquet/csv/files or across remote analytical sources; uses ClickHouse SQL features (window functions, windowFunnel, geoToH3, JSON path ops, Session, parametrized queries); imports chdb or calls chdb.query(). SKIP this skill for pandas-style DataFrame method-chaining (use chdb-datastore instead) or ClickHouse server administration.

Version
4.1
License
Apache-2.0
Compatibility
Requires Python 3.9+, macOS or Linux. pip install chdb.
Read SKILL.md at the source

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