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.
前期我们推出了搭载二代刀片电池的10 款车型，另外几款车型基本会在3月-4月初完成上市发布，因为电池的投产、给终端的批量供货可能会稍微晚。产生大的市场效能，应该会在 4 月份以后，目前我们还是非常乐观。，更多细节参见吃瓜
。业内人士推荐谷歌作为进阶阅读
10:41, 10 марта 2026Экономика
Google® Compute Engine™:，更多细节参见博客