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

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.