TEZ-179. Update JobContextImpl to use the changed return type for
certain methods post MAPREDUCE-5300. (sseth)
1 file changed
tree: 8d47d4896a4620dc2bec200741f2c281bcbfcc86
  1. .gitignore
  2. INSTALL.txt
  3. README.md
  4. example_jobs/
  5. ljr_helper/
  6. pom.xml
  7. tez-common/
  8. tez-dag-api/
  9. tez-dag/
  10. tez-dist/
  11. tez-engine-api/
  12. tez-engine/
  13. tez-mapreduce-examples/
  14. tez-mapreduce-tests/
  15. tez-mapreduce/
  16. tez-yarn-client/
README.md

tez

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 it's 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.