clickhouse-analytics
FeaturedUse when running a ClickHouse server for high-volume OLAP: choosing a MergeTree engine and ORDER BY/PARTITION BY keys, ingesting billions of event/log/metric rows, pre-aggregating with materialized views, or fixing a query that scans instead of pruning. NOT in-process file analytics (that is `duckdb`), NOT OLTP CRUD indexing (that is `postgresdb`).
Install
Quality Score: 92/100
Skill Content
Details
- Author
- ericrisco
- Repository
- ericrisco/rsc-harness
- Created
- 3 months ago
- Last Updated
- 2 days ago
- Language
- JavaScript
- License
- MIT
Integrates with
Similar Skills
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clickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
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.
clickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.