зеркало из https://github.com/microsoft/Trill.git
35 строки
2.1 KiB
Markdown
35 строки
2.1 KiB
Markdown
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# Contributing
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This project welcomes contributions and suggestions. Most contributions require you to agree to a
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Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
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the rights to use your contribution. For details, visit https://cla.microsoft.com.
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When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
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a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
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provided by the bot. You will only need to do this once across all repos using our CLA.
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
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For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
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contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
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# Introduction
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Trill is a high-performance one-pass in-memory streaming analytics engine from Microsoft Research. It can handle both real-time and offline data, and is based on a temporal data and query model. Trill can be used as a streaming engine, a lightweight in-memory relational engine, and as a progressive query processor (for early query results on partial data).
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# Getting Started
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1. Of course, the sources are right here!
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2. You can get binaries from our [NuGet feed](https://www.nuget.org/packages/Trill/).
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# Learn More
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- The [Trill paper](http://research.microsoft.com/pubs/231690/trill-vldb2015.pdf) appeared at VLDB.
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- The [Trill technical report](http://research.microsoft.com/pubs/214609/trill-TR.pdf).
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- Additional documents located in the /Documentation directory:
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- TrillQueryWritingGuide: introduces basic concepts of Trill query authoring
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- Ingress: describes how data is ingressed into and egressed out of Trill
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- TrillInternals: outlines Trill innovations and internals
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- BestPractices: describes best practices low-memory real-time deployments
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- HighAvailability: details Trill high-availability support
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- UserDefinedAggregates: introduces a framework for query authors to create custom aggregates |