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apache / tez / refs/tags/rel/release-0.10.1
tag2ec0f7b2fc9e2e60100087a250d63dc32ca94b63
taggerLaszlo Bodor <bodorlaszlo0202@gmail.com>Fri Jun 25 09:53:16 2021 +0200
object355fbc14caeaefab08cb2045f2d9d83435c5be70 
Tez 0.10.1
commit355fbc14caeaefab08cb2045f2d9d83435c5be70[log] [tgz]
authorLaszlo Bodor <bodorlaszlo0202@gmail.com>Wed Jun 16 11:17:16 2021 +0200
committerLaszlo Bodor <bodorlaszlo0202@gmail.com>Wed Jun 16 11:17:16 2021 +0200
treedb99f7dac12f3fa3707b002a599c3477e97d03b9
parent9899ca30c4ecc7db05df651bb686593d14447d2b [diff]
TEZ-4313: Apache Tez Release 0.10.1 - version bump
31 files changed
tree: db99f7dac12f3fa3707b002a599c3477e97d03b9
  1. build-tools/
  2. docs/
  3. hadoop-shim/
  4. hadoop-shim-impls/
  5. tez-api/
  6. tez-build-tools/
  7. tez-common/
  8. tez-dag/
  9. tez-dist/
  10. tez-examples/
  11. tez-ext-service-tests/
  12. tez-mapreduce/
  13. tez-plugins/
  14. tez-runtime-internals/
  15. tez-runtime-library/
  16. tez-tests/
  17. tez-tools/
  18. tez-ui/
  19. INSTALL.md ⇨ docs/src/site/markdown/install.md
  20. .asf.yaml
  21. .gitignore
  22. .travis.yml
  23. BUILDING.txt
  24. CHANGES.TXT
  25. Jenkinsfile
  26. KEYS
  27. LICENSE.txt
  28. NOTICE.txt
  29. pom.xml
  30. README.md
  31. 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.