Google Git
Sign in
apache / incubator-hugegraph-computer / 024d1aab92fe981fa2f91784a17327a759e40f02
commit024d1aab92fe981fa2f91784a17327a759e40f02[log] [tgz]
authorimbajin <jin@apache.org>Fri Jun 09 17:17:55 2023 +0800
committerGitHub <noreply@github.com>Fri Jun 09 17:17:55 2023 +0800
tree8152337dbbc0089c0eae4d01a5347c1053669151
parentfcc3b5620cc6e20ba416dbaddda551a03a0fbd32 [diff]
chore: reduce mail to dev list (#255)
1 file changed
tree: 8152337dbbc0089c0eae4d01a5347c1053669151
  1. .github/
  2. computer-algorithm/
  3. computer-api/
  4. computer-core/
  5. computer-dist/
  6. computer-driver/
  7. computer-k8s/
  8. computer-k8s-operator/
  9. computer-test/
  10. computer-yarn/
  11. .asf.yaml
  12. .gitattributes
  13. .gitignore
  14. .licenserc.yaml
  15. checkstyle.xml
  16. DISCLAIMER
  17. LICENSE
  18. NOTICE
  19. pom.xml
  20. README.md
README.md

Apache HugeGraph-Computer

License Build Status codecov Docker Pulls

The hugegraph-computer is a distributed graph processing system for hugegraph. It is an implementation of Pregel. It runs on Kubernetes or YARN framework.

Features

  • Support distributed MPP graph computing, and integrates with HugeGraph as graph input/output storage.
  • Based on BSP(Bulk Synchronous Parallel) model, an algorithm performs computing through multiple parallel iterations, every iteration is a superstep.
  • Auto memory management. The framework will never be OOM(Out of Memory) since it will split some data to disk if it doesn't have enough memory to hold all the data.
  • The part of edges or the messages of super node can be in memory, so you will never lose it.
  • You can load the data from HDFS or HugeGraph, output the results to HDFS or HugeGraph, or adapt any other systems manually as needed.
  • Easy to develop a new algorithm. You just need to focus on a vertex only processing just like as in a single server, without worrying about message transfer and memory/storage management.

Learn More

The project homepage contains more information about hugegraph-computer.

And here are links of other repositories:

  1. hugegraph-server (graph's core component - OLTP server)
  2. hugegraph-toolchain (include loader/dashboard/tool/client)
  3. hugegraph-commons (include common & rpc module)
  4. hugegraph-website (include doc & website code)

Note

  • If some classes under computer-k8s cannot be found, you need to execute mvn clean install in advance to generate corresponding classes.

Contributing

Welcome to contribute, please see How to Contribute for more information

Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.

License

hugegraph-computer is licensed under Apache 2.0 License.

Contact Us