Google Git
Sign in
apache / incubator-tez / refs/heads/dependabot/maven/com.google.protobuf-protobuf-java-3.16.3
commita235feb07b830800adb3b565afb30a677f6f555d[log] [tgz]
authordependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>Tue Oct 04 23:39:52 2022 +0000
committerGitHub <noreply@github.com>Tue Oct 04 23:39:52 2022 +0000
treedaad2fb816fa79305f4aebe020be3c15668205c6
parente8dc9f72f9d720e5bdf7bb3005d904451a02ce2b [diff]
Bump protobuf-java from 2.5.0 to 3.16.3

Bumps [protobuf-java](https://github.com/protocolbuffers/protobuf) from 2.5.0 to 3.16.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v2.5.0...v3.16.3)

---
updated-dependencies:
- dependency-name: com.google.protobuf:protobuf-java
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
1 file changed
tree: daad2fb816fa79305f4aebe020be3c15668205c6
  1. docs/
  2. tez-api/
  3. tez-common/
  4. tez-dag/
  5. tez-dist/
  6. tez-mapreduce/
  7. tez-mapreduce-examples/
  8. tez-plugins/
  9. tez-runtime-internals/
  10. tez-runtime-library/
  11. tez-tests/
  12. .gitignore
  13. BUILDING.txt
  14. CHANGES.txt
  15. DISCLAIMER.txt
  16. INSTALL.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.