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tree: 46bbc9dd48b052976579e9f19f15cd1b2b3690ff [path history] [tgz]
  1. .github/
  2. build-tools/
  3. dev-support/
  4. docs/
  5. hadoop-shim/
  6. hadoop-shim-impls/
  7. tez-api/
  8. tez-build-tools/
  9. tez-common/
  10. tez-dag/
  11. tez-dist/
  12. tez-examples/
  13. tez-ext-service-tests/
  14. tez-mapreduce/
  15. tez-plugins/
  16. tez-runtime-internals/
  17. tez-runtime-library/
  18. tez-tests/
  19. tez-tools/
  20. tez-ui/
  21. INSTALL.md ⇨ docs/src/site/markdown/install.md
  22. .asf.yaml
  23. .gitignore
  24. BUILDING.txt
  25. Jenkinsfile
  26. LICENSE
  27. NOTICE
  28. pom.xml
  29. README.md
  30. 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.