Demystifying Apache Hudi
Автор: DatahubHouse
Загружено: 2026-01-17
Просмотров: 78
Описание: Apache Hudi is a sophisticated lakehouse platform designed to manage large-scale, mutable datasets through transactional table formats. The provided documentation highlights two primary storage strategies: Copy-on-Write, which is optimised for heavy read workloads by creating new base files, and Merge-on-Read, which balances performance via delta logs and background compaction. These sources detail the Hudi 1.0 release, introducing an enhanced LSM-based timeline for high-frequency writes and advanced secondary indexing to accelerate query speeds. The technical specifications explain how the system ensures ACID transactions and schema evolution across diverse engines like Spark and Flink. Furthermore, the texts explore Change Data Capture and incremental processing, allowing users to efficiently track record updates and perform time-travel queries. Ultimately, the materials demonstrate how Hudi transforms immutable cloud storage into a high-performance, stream-processing-friendly data environment.
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