Joule
  • Welcome to Joule's Docs
  • Why Joule?
    • Joule capabilities
  • What is Joule?
    • Key features
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      • StreamEvent object
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        • Anatomy of a Tap
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      • Analytic tools
        • User defined analytics
          • Streaming analytics example
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            • Average function library
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            • Entity geo tracker
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        • Create metrics
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      • Architecture
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      • MinIO S3
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        • Serialisation
          • Custom transform example
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          • Custom parsing example
    • Observability
      • Enabling JMX for Joule
      • Meters
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  • DEVELOPER GUIDES
    • Setting up developer environment
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      • Build and deploy
      • Install Joule
        • Install Docker demo environment
        • Install with Docker
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        • Install Joule examples
    • Joulectl CLI
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    • Builder SDK
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        • Sources
          • StreamEventParser API
        • Sinks
          • CustomTransformer API
      • Processor API
      • Analytics API
        • Create custom metrics
        • Define analytics
        • Windows API
        • SQL queries
      • Transformation API
        • Obfuscation API
        • FieldTokenizer API
      • File processing
      • Data types
        • StreamEvent
        • ReferenceDataObject
        • GeoNode
    • System configuration
      • System properties
  • Deployment strategies
    • Deployment Overview
    • Single Node
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    • Packaging
      • Containers
      • Bare metal
  • Product updates
    • Public Roadmap
    • Release Notes
      • v1.2.0 Join Streams with stateful analytics
      • v1.1.0 Streaming analytics enhancements
      • v1.0.4 Predictive stream processing
      • v1.0.3 Contextual SQL based metrics
    • Change history
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On this page
  • Command line arguments
  • Alternatively
  • Start Joule
  • Start Quote generator
  • Shutting down processes
  • Clean up environment
  • Prerequisites

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  1. Build Joule projects

Running a Joule from the CLI


Joule ships with a Command Line Interface (CLI) for running your Joule project. To use the CLI your workflow generally looks like this:

  1. Define your use case using the Joule DSL

  2. Develop custom components within an IDE and test them locally, if required

  3. Define the required data sources and sinks using Joule DSL

  4. Run your use case from the command line

Example

java -cp "./lib/*" com.fractalworks.streams.joule.JouleCLI \
         -s eventSource.yaml \
         -e usecase.yaml \
         -p publishSinks.yaml

Command line arguments

The CLI has a few command line arguments to run the Joule process.

Required

  • -s or --source for data source file

  • -u or --usecase for stream processing use case file

  • -p or --publish for event sinks file

Optional

  • -c or --config for custom Joule process configuration file

  • -r or --refdata for reference data sources file

Alternatively

Start Joule

Start up the Joule process. Joule will use the conf/app.env configuration as its executing use case.

./bin/startJoule.sh

Start Quote generator

By starting the quote simulator events will be published to Kafka ready for Joule to consume and process

./bin/startQuotePublisher.sh

Shutting down processes

To stop the running processes just execute the below under the directory of which you started the processes

/bin/stopQuotePublisher.sh
/bin/stopJoule.sh

Clean up environment

Once you have run the example and viewed the results you can cleanup the environment by running the below script.

./bin/cleanup.sh

Prerequisites

  • OpenJDK 19+ to run the platform

Last updated 7 months ago

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Use the provided scripts within the example projects copy them to your project environment. See use cases .

To develop components read the document for detailed requirements.

Within the example repository, we have provided a bash script for additional functionality. Check the for further information

running examples documentation
setting up environment
README.MD