fix(hubble): remove debugging output to speed up the frontend construction (#638)

1 file changed
tree: f7f33d42d04cb339515840bed0b4afb887aaf0d9
  1. .github/
  2. .idea/
  3. assembly/
  4. hugegraph-client/
  5. hugegraph-client-go/
  6. hugegraph-dist/
  7. hugegraph-hubble/
  8. hugegraph-loader/
  9. hugegraph-spark-connector/
  10. hugegraph-tools/
  11. tools/
  12. .asf.yaml
  13. .editorconfig
  14. .gitattributes
  15. .gitignore
  16. .licenserc.yaml
  17. DISCLAIMER
  18. LICENSE
  19. NOTICE
  20. pom.xml
  21. README.md
README.md

hugegraph-toolchain

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hugegraph-toolchain is the integration project contains a series of utilities for HugeGraph, it includes 5+ main modules.

Modules

  • hugegraph-loader: Loading datasets into the HugeGraph from multiple data sources.
  • hugegraph-hubble: Online HugeGraph management and analysis dashboard (Include: data loading, schema management, graph traverser and display).
  • hugegraph-tools: Command line tool for deploying, managing and backing-up/restoring graphs from HugeGraph.
  • hugegraph-client: A Java-written client for HugeGraph, providing RESTful APIs for accessing graph vertex/edge/schema/gremlin/variables and traversals etc.
  • hugegraph-client-go: A Go-written client for HugeGraph, providing RESTful APIs for accessing graph vertex/edge/schema/gremlin/variables and traversals etc. (WIP)

Usage

Maven Dependencies

You could use import the dependencies in maven like this:

  <!-- Note: use the latest release version in maven repo, here is just an example -->
  <dependency>
       <groupId>org.apache.hugegraph</groupId>
       <artifactId>hugegraph-client</artifactId>
       <version>1.3.0</version>
  </dependency>
  
  <dependency>
       <groupId>org.apache.hugegraph</groupId>
       <artifactId>hugegraph-loader</artifactId>
       <version>1.3.0</version>
  </dependency>

Doc

The project homepage contains more information about hugegraph-toolchain.

License

hugegraph-toolchain is licensed under Apache 2.0 License.

Contributing

  • Welcome to contribute to HugeGraph, please see How to Contribute for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!

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