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apache / tez / refs/tags/release-0.10.3-rc0
tagc2d70dea8728aec21060a319cb01f914b2b82fc2
taggerLaszlo Bodor <bodorlaszlo0202@gmail.com>Tue Jan 09 16:49:35 2024 +0100
objectc56f564188443bf1185217cd679da8d065778d1d 
Tez 0.10.3 RC0
commitc56f564188443bf1185217cd679da8d065778d1d[log] [tgz]
authorLaszlo Bodor <bodorlaszlo0202@gmail.com>Tue Jan 09 16:49:01 2024 +0100
committerLaszlo Bodor <bodorlaszlo0202@gmail.com>Tue Jan 09 16:49:01 2024 +0100
tree3d9e5dc1adedf3a40c418a4a93e89adbbefb99ca
parentcbac6942f1eefac4eabbdd709c01ff6cf1c2c55a [diff]
TEZ-4526: Avoid calling LocationProvider#getPreferredLocations multiple times while generating grouped splits (#323) - CHANGES.txt
1 file changed
tree: 3d9e5dc1adedf3a40c418a4a93e89adbbefb99ca
  1. .github/
  2. build-tools/
  3. docs/
  4. hadoop-shim/
  5. hadoop-shim-impls/
  6. tez-api/
  7. tez-build-tools/
  8. tez-common/
  9. tez-dag/
  10. tez-dist/
  11. tez-examples/
  12. tez-ext-service-tests/
  13. tez-mapreduce/
  14. tez-plugins/
  15. tez-runtime-internals/
  16. tez-runtime-library/
  17. tez-tests/
  18. tez-tools/
  19. tez-ui/
  20. INSTALL.md ⇨ docs/src/site/markdown/install.md
  21. .asf.yaml
  22. .gitignore
  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.