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ClickHouse optimization and operational playbook with concrete patterns for query rewrites, MergeTree design, joins, PREWHERE, argMax, mutations, merges, and memory pressure.
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基于 SOC 职业分类
Rules and strategies for exploring databases, tables, schemas, and searching metadata.
Complex rules for calling render_chart, inferring axes, and choosing chart types based on user intent.
Diagnose a ClickHouse server error (code/name/exception) and give a concrete, actionable fix.
Diagnose part/partition health of a MergeTree table — too many parts, slow/stuck merges, bad partition key.
Rules for using explain/analyze/optimize tools to help the user tune their queries.
Diagnose a column/table schema issue — Nullable overhead, oversized integer, or weak compression — and propose an ALTER.
| name | clickhouse-playbook |
| description | ClickHouse optimization and operational playbook with concrete patterns for query rewrites, MergeTree design, joins, PREWHERE, argMax, mutations, merges, and memory pressure. |
Use this skill whenever an answer or rewrite needs a named ClickHouse performance, schema, or operations pattern.
Read reference.md before recommending query rewrites, schema changes, merge/part fixes, or memory-related mitigations. Ground the final answer in the relevant pattern names and avoid generic advice.
