Use liquid clustering for tables - Azure Databricks

▤ Summary

Azure Databricks introduces liquid clustering as a new table layout optimization method that replaces traditional partitioning and ZORDER. The feature simplifies table management and improves query performance by organizing data automatically around clustering keys. Databricks says teams can change clustering keys without rewriting existing data, and the feature now supports Delta Lake tables, Apache Iceberg tables, streaming tables, and materialized views across specific runtime versions. The article also explains how to enable, convert, optimize, and manage clustering for both manual and automatic workflows.

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