3a0044216cb2f707639d48e2869f4ee6f25cfc19
(1) Apply transformation when using delta-streamer to ingest data. (2) Add Hudi Incremental Source for Delta Streamer (3) Allow delta-streamer config-property to be passed as command-line (4) Add Hive Integration to Delta-Streamer and address Review comments (5) Ensure MultiPartKeysValueExtractor handle hive style partition description (6) Reuse same spark session on both source and transformer (7) Support extracting partition fields from _hoodie_partition_path for HoodieIncrSource (8) Reuse Binary Avro coders (9) Add push down filter for Incremental source (10) Add Hoodie DeltaStreamer metrics to track total time taken
Hudi
Hudi (pronounced Hoodie) stands for Hadoop Upserts anD Incrementals. Hudi manages storage of large analytical datasets on HDFS and serve them out via two types of tables
- Read Optimized Table - Provides excellent query performance via purely columnar storage (e.g. Parquet)
- Near-Real time Table (WIP) - Provides queries on real-time data, using a combination of columnar & row based storage (e.g Parquet + Avro)
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