@@ -15,84 +16,123 @@
## What is Apache HugeGraph?
-[HugeGraph](https://hugegraph.apache.org/) is a fast-speed and highly-scalable [graph database](https://en.wikipedia.org/wiki/Graph_database).
-Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability.
-As compliance to [Apache TinkerPop 3](https://tinkerpop.apache.org/) framework, various complicated graph queries can be
-achieved through [Gremlin](https://tinkerpop.apache.org/gremlin.html)(a powerful graph traversal language).
-
+[HugeGraph](https://hugegraph.apache.org/) is a fast-speed and
+highly-scalable [graph database](https://en.wikipedia.org/wiki/Graph_database).
+Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its
+excellent OLTP ability.
+As compliance to [Apache TinkerPop 3](https://tinkerpop.apache.org/) framework, various complicated
+graph queries can be
+achieved through [Gremlin](https://tinkerpop.apache.org/gremlin.html)(a powerful graph traversal
+language).
## Features
-- Compliance to [Apache TinkerPop 3](https://tinkerpop.apache.org/), support [Gremlin](https://tinkerpop.apache.org/gremlin.html) & [Cypher](https://en.wikipedia.org/wiki/Cypher) language
+- Compliance to [Apache TinkerPop 3](https://tinkerpop.apache.org/),
+ support [Gremlin](https://tinkerpop.apache.org/gremlin.html) & [Cypher](https://en.wikipedia.org/wiki/Cypher)
+ language
- Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
- Multi-type Indexes, supporting exact query, range query and complex conditions combination query
-- Plug-in Backend Store Driver Framework, support `RocksDB`, `Cassandra`, `HBase`, `ScyllaDB`, and `MySQL/Postgre` now and easy to add another backend store driver if needed
+- Plug-in Backend Store Driver Framework, support `RocksDB`, `Cassandra`, `HBase`, `ScyllaDB`,
+ and `MySQL/Postgre` now and easy to add another backend store driver if needed
- Integration with `Flink/Spark/HDFS`, and friendly to connect other big data platforms
-
## Quick Start
### 1. Docker Way (Convenient for Test)
-We can use `docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph` to quickly start an inner
+We can use `docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph` to quickly start an inner
HugeGraph server with `RocksDB` (in backgrounds) for **test/dev**.
You can visit [doc page](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#3-deploy) or
-the [README](hugegraph-server/hugegraph-dist/docker/READEME.md) for more details. ([Docker Compose](./hugegraph-server/hugegraph-dist/docker/example))
+the [README](hugegraph-server/hugegraph-dist/docker/READEME.md) for more
+details. ([Docker Compose](./hugegraph-server/hugegraph-dist/docker/example))
> Note:
->
-> 1. The docker image of hugegraph is a convenience release, but not **official distribution** artifacts. You can find more details from [ASF Release Distribution Policy](https://infra.apache.org/release-distribution.html#dockerhub).
->
-> 2. Recommend to use `release tag`(like `1.2.0`) for the stable version. Use `latest` tag to experience the newest functions in development.
+>
+> 1. The docker image of hugegraph is a convenience release, but not **official distribution**
+ artifacts. You can find more details
+ from [ASF Release Distribution Policy](https://infra.apache.org/release-distribution.html#dockerhub).
+>
+> 2. Recommend to use `release tag`(like `1.2.0`) for the stable version. Use `latest` tag to
+ experience the newest functions in development.
### 2. Download Way
-Visit [Download Page](https://hugegraph.apache.org/docs/download/download/) and refer the [doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#32-download-the-binary-tar-tarball)
+Visit [Download Page](https://hugegraph.apache.org/docs/download/download/) and refer
+the [doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#32-download-the-binary-tar-tarball)
to download the latest release package and start the server.
### 3. Source Building Way
-Visit [Source Building Page](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#33-source-code-compilation) and follow the
+Visit [Source Building Page](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#33-source-code-compilation)
+and follow the
steps to build the source code and start the server.
The project [doc page](https://hugegraph.apache.org/docs/) contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other **HugeGraph** component/repositories:
-1. [hugegraph-toolchain](https://github.com/apache/hugegraph-toolchain) (graph tools **[loader](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-loader)/[dashboard](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-hubble)/[tool](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-tools)/[client](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-client)**)
-2. [hugegraph-computer](https://github.com/apache/hugegraph-computer) (integrated **graph computing** system)
+
+1. [hugegraph-toolchain](https://github.com/apache/hugegraph-toolchain) (graph tools *
+ *[loader](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-loader)/[dashboard](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-hubble)/[tool](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-tools)/[client](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-client)
+ **)
+2. [hugegraph-computer](https://github.com/apache/hugegraph-computer) (integrated **graph computing
+ ** system)
3. [hugegraph-commons](https://github.com/apache/hugegraph-commons) (**common & rpc** libs)
4. [hugegraph-website](https://github.com/apache/hugegraph-doc) (**doc & website** code)
-5. [hugegraph-ai](https://github.com/apache/incubator-hugegraph-ai) (integrated **Graph AI/LLM/KG** system)
+5. [hugegraph-ai](https://github.com/apache/incubator-hugegraph-ai) (integrated **Graph AI/LLM/KG**
+ system)
## License
HugeGraph is licensed under [Apache 2.0 License](LICENSE).
+## Making Your First Contribution
-## Contributing
+We welcome all contributions to HugeGraph, please
+see [`How to Contribute`](CONTRIBUTING.md) & [Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/)
+for more information. Here are some ways you can help:
-- Welcome to contribute to HugeGraph, please see [`How to Contribute`](CONTRIBUTING.md) & [Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/) for more information.
-- Note: It's recommended to use [GitHub Desktop](https://desktop.github.com/) to greatly simplify the PR and commit process.
-- Thank you to all the people who already contributed to HugeGraph!
+- Tutorials + Blogposts: We always want to find ways to improve the user experience and sharing uses
+ for HugeGraph is a huge help.
+- Documentation Improvements: If something isn't clear or you discover some new tips that could be
+ helpful, feel free to share!
+- Bug Reports: We always welcome issues with HugeGraph so please submit any bugs that you discover.
+- Feature Requests: If HugeGraph is missing a feature, submit a feature request!
-[](https://github.com/apache/incubator-hugegraph/graphs/contributors)
+Pull Requests
+
+- Even small changes such as a typo fix are welcome if it helps the project.
+- Make sure you check existing issues before opening a new issue.
+- Follow established coding styles and
+ reference [style guide](https://github.com/apache/incubator-hugegraph/wiki/The-style-config-for-HugeGraph-in-IDEA)
+ whenever you are in doubt.
+- Reach out on Github to ask questions!
+Note: It's recommended to use [GitHub Desktop](https://desktop.github.com/) to greatly simplify the
+PR and commit process.
+
+Thank you to all the people who already contributed to HugeGraph!
+
+[](https://github.com/apache/incubator-hugegraph/graphs/contributors)
## Thanks
-HugeGraph relies on the [TinkerPop](http://tinkerpop.apache.org) framework, we refer to the storage structure of Titan and the schema definition of DataStax.
-Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.
+HugeGraph relies on the [TinkerPop](http://tinkerpop.apache.org) framework, we refer to the storage
+structure of Titan and the schema definition of DataStax.
+Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or
+authors who contributed to the project.
-You are welcome to contribute to HugeGraph,
+You are welcome to contribute to HugeGraph,
and we are looking forward to working with you to build an excellent open-source community.
-
## Contact Us
-- [GitHub Issues](https://github.com/apache/incubator-hugegraph/issues): Feedback on usage issues and functional requirements (quick response)
- - Feedback Email: [dev@hugegraph.apache.org](mailto:dev@hugegraph.apache.org) ([subscriber](https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/) only)
- - WeChat public account: Apache HugeGraph, welcome to scan this QR code to follow us.
+- [GitHub Issues](https://github.com/apache/incubator-hugegraph/issues): Feedback on usage issues
+ and functional requirements (quick response)
+- Feedback
+ Email: [dev@hugegraph.apache.org](mailto:dev@hugegraph.apache.org) ([subscriber](https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/)
+ only)
+- WeChat public account: Apache HugeGraph, welcome to scan this QR code to follow us.
