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apache / hudi / e83dde3b9591d0ff52c453331e80a5d6ae91bb11
commite83dde3b9591d0ff52c453331e80a5d6ae91bb11[log] [tgz]
authorNishith Agarwal <nagarwal@uber.com>Mon Nov 26 23:17:32 2018 -0800
committervinoth chandar <vinothchandar@users.noreply.github.com>Tue Dec 04 11:41:38 2018 -0800
tree12d94742db2cce787bab098804ff97cbc172a330
parent0015c9b00e46bde88089680e790a7fb3ad12e5ef [diff]
Returning empty Statues for an empty spark partition caused due to incorrect bin packing
1 file changed
tree: 12d94742db2cce787bab098804ff97cbc172a330
  1. deploy/
  2. docker/
  3. docs/
  4. hoodie-cli/
  5. hoodie-client/
  6. hoodie-common/
  7. hoodie-hadoop-mr/
  8. hoodie-hive/
  9. hoodie-integ-test/
  10. hoodie-spark/
  11. hoodie-utilities/
  12. packaging/
  13. style/
  14. .gitignore
  15. .travis.yml
  16. _config.yml
  17. CHANGELOG.md
  18. LICENSE.txt
  19. pom.xml
  20. README.md
  21. RELEASE_NOTES.md
README.md

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)

For more, head over here