StreamPipes Compose is a simple collection of user-friendly docker-compose
files that easily lets gain first-hand experience with Apache StreamPipes.
Current version: 0.97.0-SNAPSHOT
NOTE: We recommend StreamPipes Compose to only use for initial try-out and testing. If you are a developer and want to develop new pipeline elements or core feature, use the StreamPipes CLI.
docker-compose up -d
Go to http://localhost to finish the installation in the browser. Once finished, switch to the pipeline editor and start the interactive tour or check the online tour to learn how to create your first pipeline!
- Docker >= 17.06.0
- Docker-Compose >= 1.17.0 (Compose file format: 3.4)
- Google Chrome (recommended), Mozilla Firefox, Microsoft Edge
Tested on: macOS, Linux, Windows 10 (CMD, PowerShell, GitBash)
macOS and Windows 10 (Pro, Enterprise, Education) users can easily get Docker and Docker-Compose on their systems by installing Docker for Mac/Windows (recommended).
NOTE: On purpose, we disabled all port mappings except of http port 80 to access the StreamPipes UI to provide minimal surface for conflicting ports.
We provide three options to get you going:
- default: the standard installation, uses Kafka as internal message broker (recommended)
- nats: the standard installation which uses Nats as message broker (recommended for new installations)
- full: contains experimental Flink wrappers
- quickstart: contains pre-configured sample assets, including pipelines, dashboards, and data views. We recommend first-time StreamPipes users to use the Quickstart mode to experience the convenience of StreamPipes in IIoT! (Recommended for first-time users)
The nats
version will become the default version in a later release. You can already try it for new installations,
but there's not yet an automatic migration from current Kafka-based installations to Nats.
Starting the default option is as easy as simply running:
NOTE: Starting might take a while since
docker-compose up
also initially pulls all Docker images from Dockerhub.
docker-compose up -d
# go to `http://localhost` after all services are started
After all containers are successfully started just got to your browser and visit http://localhost to finish the installation. Once finished, switch to the pipeline editor and start the interactive tour or check the documentation to learn more about StreamPipes!
Stopping the default option is similarly easy:
docker-compose down
# if you want to remove mapped data volumes, run:
# docker-compose down -v
Starting the nats option works as follows:
docker-compose -f docker-compose.nats.yml up -d
# go to `http://localhost` after all services are started
Stopping the nats option:
docker-compose -f docker-compose.nats.yml down
Starting the full option is almost the same, just specify the docker-compose.full.yml
file:
docker-compose -f docker-compose.full.yml up -d
# go to `http://localhost` after all services are started
Stopping the full option:
docker-compose -f docker-compose.full.yml down
We introduce quickstart deployment that comes with a set of predefined StreamPipes assets, to use the quickstart mode, just build the Docker image and start quickstart option:
docker-compose -f docker-compose.quickstart.yml build script-runner
docker-compose -f docker-compose.quickstart.yml up -d
# go to `http://localhost` after all services are started
Stopping the quickstart option:
docker-compose -f docker-compose.quickstart.yml down
To actively pull the latest available Docker images use:
docker-compose pull
# docker-compose -f docker-compose.full.yml pull
To upgrade to another StreamPipes version, simply edit the SP_VERSION
in the .env
file.
SP_VERSION=<VERSION>
If you've found a bug or have a feature that you'd love to see in StreamPipes, feel free to create an issue i on GitHub.
Since we purely levarage Docker Compose, please see their documentation in case you want to find out more about their available commands.
If you have any problems during the installation or questions around StreamPipes, you'll get help through one of our community channels:
And don't forget to follow us on Twitter!
We welcome contributions to StreamPipes. If you are interested in contributing to StreamPipes, let us know! You'll get to know an open-minded and motivated team working together to build the next IIoT analytics toolbox.
Here are some first steps in case you want to contribute:
- Subscribe to our dev mailing list [email protected]
- Send an email, tell us about your interests and which parts of StreamPipes you'd like to contribute (e.g., core or UI)!
- Ask for a mentor who helps you to understand the code base and guides you through the first setup steps
- Find an issue on GitHub. which is tagged with a good first issue tag
- Have a look at our developer wiki at https://cwiki.apache.org/confluence/display/STREAMPIPES to learn more about StreamPipes development.
Have fun!
We'd love to hear your feedback! Subscribe to [email protected]