Description

Apache HUDI is a depth-first search (DFS)-based analytical dataset ingestion and management solution designed for data analysts. It enables users to manage the file size layout using statistics, track lineage with timeline metadata, automatically publish data with rollback capability, load and write data files into a DataFrame, generate updates to existing trips using the data generator, delete records for the HoodieKeys, commit metadata and filter duplicate records from incoming data frame, as well as consolidate input RDD and multiple partial records. Features include storage management, indexing configuration, latency management, statistical analysis, data recovery optimization, JMX metrics reporting capability, and Graphite server support.