This repository hosts samples that demonstrate how to use Trill.
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). We have a non-commercial evaluation version of Trill available publicly, via NuGet.
The samples right here are a great way to start, they will download the Trill binaries for you via NuGet.
- The Trill paper appeared at VLDB.
- A Data Engineering Bulletin article on Trill.
- The Trill technical report.
- The Trill project website website.
- Trill API documentation can be browsed here.
- A more detailed user guide will be posted soon.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.