Does this skill help with table schema design?

Yes, it includes detailed patterns for various MergeTree engines, including deduplication and pre-aggregation strategies like ReplacingMergeTree and AggregatingMergeTree.

How does this help with query performance?

It provides templates for efficient filtering, proper use of ClickHouse-specific aggregation functions, and system monitoring queries to identify and resolve slow operations.

What is the primary benefit of using this ClickHouse skill?

It provides immediate access to optimized ClickHouse patterns, preventing common mistakes like small frequent inserts or inefficient filtering on non-indexed columns.

Does it provide specialized analytics queries?

Yes, the skill includes boilerplate for advanced analytics such as time-series analysis, conversion funnels, and cohort retention analysis.

Can I use this for real-time data ingestion?

Absolutely; it covers bulk insert patterns and streaming insertion strategies in TypeScript to handle high-velocity data streams effectively.

ClickHouse Analytics Patterns

Name: ClickHouse Analytics Patterns
Author: claudiodearaujo

byclaudiodearaujo

Gestión de Bases de Datos

Implements high-performance ClickHouse database schemas, optimized analytical queries, and efficient data engineering patterns for OLAP workloads.

Acerca de

This skill provides specialized guidance for working with ClickHouse, a column-oriented DBMS optimized for fast analytical processing. It equips developers with production-ready patterns for table engines like MergeTree and AggregatingMergeTree, high-performance query optimization techniques, and robust data ingestion strategies including bulk and streaming inserts. Whether you're building real-time dashboards, performing complex cohort analysis, or setting up materialized views for automated aggregations, this skill ensures your ClickHouse implementation follows industry best practices for scalability and speed.

Características Principales

0 GitHub stars
High-performance analytical query templates (Time Series, Funnel, Cohort)
Real-time aggregation using Materialized Views
Optimized MergeTree family table design patterns
Efficient bulk and streaming data insertion strategies
Performance monitoring and system table analysis queries

Casos de Uso

Building real-time analytics dashboards for high-volume event data
Designing complex user behavior and retention tracking pipelines
Implementing cost-effective log storage and analysis systems

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter cc-skill-clickhouse-io

For use in Claude.ai and ChatGPT

Download Skill

GitHub