Hudi Metafields demystified
Blog post from Onehouse
Apache Hudi, originally developed by Uber in 2016, is a framework that enhances data lakes by efficiently managing transactional data changes, making it a valuable tool for rapidly evolving data environments. Hudi's design includes five key record-level meta fields that provide unique identification, spatial and temporal distribution, and enable functionalities such as tracking changes, ensuring data integrity, and supporting operations like time-travel queries. These meta fields, while offering significant advantages like preventing duplicates, aiding in debugging, and optimizing storage operations, come with some storage overhead, which is efficiently managed through compression techniques. The benefits of using Hudi, such as improved data integrity and reduced compute costs, often outweigh these overheads, as demonstrated by Uber's use case, where they achieved significant cost savings in their data pipelines.
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