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clickhouse-analytics

Use 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`).

skills/clickhouse-analytics/SKILL.md

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# ClickHouse analytics

ClickHouse is a multi-user, always-on, replicated columnar server built to ingest continuous high-volume writes and answer aggregation queries over billions of rows in milliseconds. You reach for it when the workload is "append a firehose of events/logs/metrics, then GROUP BY them for dashboards." Target **26.3 LTS** (v26.3.12.3, 2026-05-22) — several defaults below changed in the 26.x line, so version matters.

The fork before you write any DDL: files on a laptop, in-process, no server, no concurrent writers → `../duckdb/SKILL.md`; app CRUD, point updates, foreign keys, row locks, RLS, migrations → `../postgresdb/SKILL.md`; `clickhouse-server`, replication, concurrent writers, 100M+ rows/s ingest → this skill.

Instrumenting capture (GA4/PostHog) is `../analytics/SKILL.md`; charting the result for humans is `../dashboard/SKILL.md`; deciding which metrics matter is `../kpi-framework/SKILL.md`. ClickHouse is the engine underneath all three.

## Pick the engine first

The engine decides dedup and merge behavior, and you cannot change `ORDER BY`/`PARTITION BY` later without a rebuild — so choose before typing `CREATE TABLE`.

| Engine | Use it for | Dedup / merge behavior | Gotcha |
|---|---|---|---|
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