| # hugegraph-computer |
| |
| [](https://www.apache.org/licenses/LICENSE-2.0.html) |
| [](https://github.com/hugegraph/hugegraph-computer/actions/workflows/ci.yml) |
| [](https://codecov.io/gh/hugegraph/hugegraph-computer) |
| |
| hugegraph-computer is a distributed graph processing system for hugegraph. It is an implementaion of [Pregel](https://kowshik.github.io/JPregel/pregel_paper.pdf). It runs on Kubernetes or YARN framework. |
| |
| ## Features |
| |
| - Based on BSP(Bulk Synchronous Parallel) model, every iteration is a superstep. |
| - Auto memory management. The framework will spilt some data to disk, the framework will never OOM(Out of Memory). |
| - The the part of edges or the messages of super node can be in memory, so you will never loss it. |
| - You can output the result to HDFS or HugeGraph, or any other system. |
| - Easy to develop a new algotirhm. You need to focus on a vertex only, not to worry about messages transfering and memory. |
| |
| ## Learn More |
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| The [project homepage](https://hugegraph.github.io/hugegraph-doc/) contains more information about hugegraph-computer. |
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| ## License |
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| hugegraph-computer is licensed under Apache 2.0 License. |
