clickhouse-io

ClickHouse table design, query optimization, and analytics patterns for high-performance OLAP workloads. ClickHouse-specific patterns for high-performance analytics and data engineering. ClickHouse is a column-oriented database management system (DBMS) for online analytical processing (OLAP). It's optimized for fast analytical queries on large datasets. Key Features: Remember : ClickHouse excels at analytical workloads. Design tables for your query patterns, batch inserts, and leverage materialized views for real-time aggregations. - Covers three primary MergeTree engine variants: standard MergeTree for time-series data, ReplacingMergeTree for deduplication, and AggregatingMergeTree for pre-aggregated metrics - Includes query optimization patterns for efficient filtering, aggregations, window functions, and percentile calculations with ClickHouse-specific functions - Demonstrates data insertion strategies (bulk inserts, streaming), materialized views for real-time aggregations, and performance monitoring via system tables - Provides ready-to-use patterns for common analytics workflows: time-series analysis, retention, funnels, cohorts, and ETL/CDC pipelines with TypeScript examples - Designing ClickHouse table schemas (MergeTree engine selection) - Writing analytical queries (aggregations, window functions, joins) - Optimizing query performance (partition pruning, projections,...