Asynchronous Indexing using Hudi
Blog post from Onehouse
The blog post explores the development of an asynchronous indexing mechanism in Apache Hudi, designed to enhance the lakehouse architecture by allowing for high-performance, non-blocking index creation and management. This new system permits the dynamic addition and removal of indexes without interrupting ongoing write operations, thereby improving both write latency and operational resilience. Key to this capability is the use of Hudi's transactional database kernel, which coordinates read and write operations while ensuring consistency through a hybrid concurrency control model. The asynchronous indexing process is divided into scheduling and execution phases, leveraging Hudi's timeline as an event log to coordinate actions and maintain data integrity. The design is scalable and adaptable to various index types, supporting both batch and streaming workloads, and represents a significant step towards more sophisticated data management in the lakehouse architecture. Future enhancements may focus on easing index management through increased asynchrony and further integration with SQL and additional index types, inviting community collaboration to refine and expand the system's capabilities.
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