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Liquid Clustering dynamically clusters data based on data patterns, which helps to avoid the over- or under-partitioning problems that can occur with Hive partitioning.

Liquid Clustering resulted in 2.5x faster clustering relative to Z-order. In the same trial, traditional Hive-style partitioning was an order of magnitude slower due to the expensive shuffle required for writing out many partitions.

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