Summary
This guide presents best practices for implementing clustering strategies in Apache Hudi within the Onehouse Universal Data Lakehouse platform. It outlines the importance of optimizing data layouts during ingestion to enhance storage efficiency and query performance. The document details the two primary clustering strategies, linear ordering and Z-Ordering, explaining their respective use cases and deployment options. It emphasizes the significance of managing small files and reorganizing data files to improve query performance. The guide also provides practical guidelines for selecting appropriate clustering columns and strategies based on data characteristics and query workloads. Additionally, it highlights Onehouse's incremental clustering feature and Table Optimizer, which assist in automating table services and optimizing performance without impacting data ingestion. The conclusion reiterates the necessity of effective data organization for cost savings and performance in data platforms.
