TEZ-3726. Clean up DeletionTracker's reflection instantiation and provide ContainerLauncher with dagComplete() functionality (kshukla)
6 files changed
tree: 66b69a5752b7a45c29bd9a8b836248cc74767dd0
  1. build-tools/
  2. docs/
  3. hadoop-shim/
  4. hadoop-shim-impls/
  5. tez-api/
  6. tez-common/
  7. tez-dag/
  8. tez-dist/
  9. tez-examples/
  10. tez-ext-service-tests/
  11. tez-mapreduce/
  12. tez-plugins/
  13. tez-runtime-internals/
  14. tez-runtime-library/
  15. tez-tests/
  16. tez-tools/
  17. tez-ui/
  18. .gitignore
  19. .travis.yml
  20. BUILDING.txt
  21. CHANGES.txt
  22. KEYS
  23. LICENSE.txt
  24. NOTICE.txt
  25. pom.xml
  26. README.md
  27. TEZ-3334-CHANGES.txt
  28. Tez_DOAP.rdf

Apache Tez

Apache Tez is a generic data-processing pipeline engine envisioned as a low-level engine for higher abstractions such as Apache Hadoop Map-Reduce, Apache Pig, Apache Hive etc.

At its heart, tez is very simple and has just two components:

  • The data-processing pipeline engine where-in one can plug-in input, processing and output implementations to perform arbitrary data-processing. Every ‘task’ in tez has the following:
  • Input to consume key/value pairs from.
  • Processor to process them.
  • Output to collect the processed key/value pairs.
  • A master for the data-processing application, where-by one can put together arbitrary data-processing ‘tasks’ described above into a task-DAG to process data as desired. The generic master is implemented as a Apache Hadoop YARN ApplicationMaster.