Debunking 8 data layout myths: why Liquid Clustering outperforms partitioning
Liquid Clustering outperforms traditional partitioning in modern Lakehouses by dynamically optimizing data layout, avoiding small-file issues, supporting multi-dimensional clustering, and enabling automatic key selection—while Hive-style partitioning causes over-partitioning and performance degradation in over 75% of cases.
入选理由:Hive-style 分区在超过75%的案例中导致过度分区和小文件问题,影响查询性能。
