clickhouse-pydantic-config
SolidGenerate DBeaver config from Pydantic ClickHouse models. TRIGGERS - DBeaver config, ClickHouse connection, database client config.
Install
Quality Score: 80/100
Skill Content
Details
- Author
- terrylica
- Repository
- terrylica/cc-skills
- Created
- 8 months ago
- Last Updated
- today
- Language
- Shell
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
clickhouse-io
ClickHouse (OLAP / column-oriented) patterns for high-performance analytics and data engineering. Use this skill whenever designing ClickHouse tables and engines (MergeTree family), writing or optimizing analytical queries, modeling partitioning and ordering keys, setting up materialized views, or ingesting large datasets for real-time analytics.
analytical-data-ops
ClickHouse analytics patterns, OLAP optimization, and data pipelines.
clickhouse-query-best-practices
Use when writing or reviewing ad-hoc research SQL in a dbt-ClickHouse project, or running federated queries via `postgresql()` from ClickHouse for data-quality investigations — covers CTE-wrapping of federation, dedup via `limit 1 by`, flow analysis with `groupUniqArray + arraySort`, runtime-computed boundary dates, hybrid PG/CH source selection, source-of-truth citation, and style.