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apache / tez / ac37c4a490f91edc5719a61b7e38d130cde006b5
commitac37c4a490f91edc5719a61b7e38d130cde006b5[log] [tgz]
authorHitesh Shah <hitesh@apache.org>Tue Jul 26 06:23:57 2016 -0700
committerHitesh Shah <hitesh@apache.org>Tue Jul 26 06:23:57 2016 -0700
treed8d102e3b0cb5c8ce07ed5d792b3c899df94e028
parent244b1f19e344be721e81b39db03e7f35ee62389b [diff]
Update CHANGES.txt for TEZ-3374.
1 file changed
tree: d8d102e3b0cb5c8ce07ed5d792b3c899df94e028
  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. INSTALL.md ⇨ docs/src/site/markdown/install.md
  19. .gitignore
  20. BUILDING.txt
  21. CHANGES.txt
  22. KEYS
  23. LICENSE.txt
  24. NOTICE.txt
  25. pom.xml
  26. README.md
  27. Tez_DOAP.rdf
README.md

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.