AI - Hudi
Manage large analytics datasets efficiently with Hudi's open-source project: Merge-on-Read for flexible data processing and incremental updates on distributed file systems.
- Name
- Hudi -https://github.com/apache/hudi
- Last Audited At
About Hudi
Hudi is an open-source data management project under the Apache umbrella, primarily developed for managing the storage of large analytical datasets on distributed file systems like HDFS and Cloud Stores. The name "Hudi" is derived from the term "Hadoop Upserts Deletes and Incrementals."
Hudi offers the following core functionalities:
- Manages data lake metadata, including tables, partitions, columns, and other metadata.
- Provides Merge-on-Read (MOR) functionality for overwriting existing data with new data, making it an ideal choice for streaming use cases.
- Supports deletion of specific rows or entire partitions, enabling efficient data lake management.
- Incremental updates allow for reading only the changed data when querying data in near real-time.
Hudi comes with various pre-built jars optimized for different Spark and Flink versions. Developers can customize their builds by specifying different Maven options. The project's active development is evident from its frequent commits, as shown on the provided badges. Users are encouraged to join the Hudi community on Slack and follow the official Twitter account for updates and discussions.
Notably, Hudi is licensed under the Apache License, Version 2.0, ensuring its availability and flexibility for various projects.