We also see even experienced users being caught by less obvious LIMIT behavior in multi-node environments where a table has many shards. Sharding allows users to split or replicate their data across multiple instances of ClickHouse. When a query with a LIMIT N clause is sent to a sharded table e.g. via a distributed table, this clause will be propagated down to each shard. Each shard will, in turn, need to collate the top N results, returning them to the coordinating node. This can prove particularly resource-intensive when users run queries that require a full table scan. Typically these are "point lookups" where the query aims to just identify a few rows. While this can be achieved in ClickHouse with careful index design a non-optimized variant, coupled with a LIMIT clause, can prove extremely resource-intensive.
从视频中的效果来看，铁球撞上的似乎是某种很脆的，易碎的固体，而非遇热即熔的冰块，冰块也并未因与灼热铁球的接触，而发生凹陷。
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——科技自立自强水平大幅提高。国家创新体系整体效能显著提升，全社会研发经费投入年均增长7%以上，教育科技人才一体发展格局基本形成。基础研究和原始创新能力显著增强，重点领域关键核心技术快速突破，产出一批重大原创性、标志性、引领性科技成果，并跑领跑领域明显增多。科技创新和产业创新深度融合，创新驱动作用明显增强。
Hardware profiling at startup for optimal config