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apache / tez / refs/heads/branch-0.5
commitfa31127c198e5a960a08d08663e06a974a6e8e93[log] [tgz]
authorJeff Zhang <zjffdu@apache.org>Fri Oct 09 15:07:17 2015 +0800
committerJeff Zhang <zjffdu@apache.org>Fri Oct 09 15:35:08 2015 +0800
tree01ad81fcaede28b48ec75127610785dcd73722a4
parent7600f386111f432c771f2cb03bd6b072053f574f [diff]
TEZ-2781. Fallback to send only TaskAttemptFailedEvent if taskFailed heartbeat fails (zjffdu)

(cherry picked from commit f9d15c8695de7975817631b051450336bc5eadee)

Conflicts:
	CHANGES.txt
	tez-dag/src/main/java/org/apache/tez/dag/app/TaskCommunicatorManager.java

(cherry picked from commit 8d49fd5285016fb64ebccdc9cf31c408c79ebaaf)

Conflicts:
	CHANGES.txt
	tez-dag/src/main/java/org/apache/tez/dag/app/TaskAttemptListenerImpTezDag.java
	tez-dag/src/main/java/org/apache/tez/runtime/task/TaskReporter.java

(cherry picked from commit 3a8bf0e0afb0a30d5c4cbf82d1e2ce9e0dd22b4a)

Conflicts:
	CHANGES.txt
3 files changed
tree: 01ad81fcaede28b48ec75127610785dcd73722a4
  1. docs/
  2. tez-api/
  3. tez-common/
  4. tez-dag/
  5. tez-dist/
  6. tez-examples/
  7. tez-mapreduce/
  8. tez-plugins/
  9. tez-runtime-internals/
  10. tez-runtime-library/
  11. tez-tests/
  12. tez-tools/
  13. INSTALL.md ⇨ docs/src/site/markdown/install.md
  14. .gitignore
  15. BUILDING.txt
  16. CHANGES.txt
  17. KEYS
  18. LICENSE.txt
  19. NOTICE.txt
  20. pom.xml
  21. README.md
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 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.