Technology Radar
Published : Nov 05, 2025
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
Understand more
Nov 2025
Trial
Liquid clustering 是 Delta Lake 表的一种可作为分区和 Z 排序的替代方案的技术。在过去，优化 Delta 表的读取性能需要在表创建时基于预期的查询模式定义分区和 Z 排序键。后续修改这些键需要完整的数据重写。相比之下，聚类采用基于树的算法根据指定的键对数据进行聚类，可以增量更改而无需重写所有数据。这提供了更大的灵活性来支持多样化的查询模式，从而降低计算成本并增强读取性能。此外，Delta Lake 的 Databricks Runtime 通过分析历史查询工作负载、识别最优列并相应地聚类数据来支持自动 liquid clustering。独立的 Delta Lake 和 Databricks Runtime 用户都可以利用 liquid clustering 来优化读取性能。
