https://github.com/andresgomezfrr/enricher

Kafka Streams Enricher engine
https://github.com/andresgomezfrr/enricher

Last synced: 2 months ago
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Kafka Streams Enricher engine

• Host: GitHub
• URL: https://github.com/andresgomezfrr/enricher
• Owner: andresgomezfrr
• Created: 2018-07-09T08:36:04.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-10-18T16:17:16.000Z (about 6 years ago)
• Last Synced: 2023-02-27T09:11:53.523Z (almost 2 years ago)
• Language: Java
• Homepage: https://wizzie-io.github.io/enricher/
• Size: 27.2 MB
• Stars: 1
• Watchers: 1
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
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# Enricher

Enricher is a stream enriching engine based of Kafka Streams. Enricher does joins (streams and tables) end enrichment with any data store system that you define. You only need to define a JSON stream where you specify the joiners and enrichers to use and your enrichment query.

Enricher offers us: scalability, fault tolerance, back-preassure and full Kafka integration ... [Try it now!!](https://wizzie-io.github.io/enricher/getting/base-tutorial.html)

## Documentation

You can find the docs on the [Docs Website](https://wizzie-io.github.io/enricher/)

## Getting Started

You can get started with Enricher with this [tutorial](https://wizzie-io.github.io/enricher/getting/base-tutorial.html).

## Compiling Sources

To build this project you can use `maven` tool. 

If you want to build the JAR of the project you can do:

```

mvn clean package

```

If you want to check if it passes all the test:

```

mvn test

```

If you want to build the distribution tar.gz:

```

mvn clean package -P dist

```

If you want to build the docker image, make sure that you have the docker service running:

```

mvn clean package -P docker

```

## Contributing

1. [Fork it](https://github.com/wizzie-io/enricher/fork)

2. Create your feature branch: `git checkout -b my-new-feature`

3. Commit your changes: `git commit -am 'Add some feature'`

4. Push to the branch: `git push origin my-new-feature`

5. Create a new Pull Request