The Scaleph project features data integration, develop, job schedule and orchestration and aims to run on cloud environment.
It trys to provide one-stop data platform for simplifying development of data application. Scaleph hopes to help peoples to aggregate and analyze data, free data internal worth and make profit from them.
Scaleph is driven by personal interest and evolves actively through faithful developer, flowerfine is open and appreciates any helps.
Congratulation, Scaleph has been ready for releasing v1.0.0
version and providing full data integration scene backened by SeaTunnel on 2023-01-01
!
Now, community is working on preparation job such as docs, bug fix, or deploy tools. There are so many miscellaneous to handle and we are really looking forward any help from you! Just associate us on issue or wechat group and make scaleph better.
- Provide Flink ecosystem to every data developer easily.
- Predefined expert Flink decisions and excellent step wizard.
- Job management.
- Step job wizard
- Multiple versions
- Full job detail web
- Configuration, dependency and resource
- Web-ui click-and-drag data integration ways backended by Apache SeaTunnel(incubating)
- Support 2.3.0-beta V2 out-of-the-box connectors
- DataSource management
- Multiple deployment modes and different resource providers.
- Standalone。Session
- YARN。Application, Per-Job, Session
- Kubernetes。Session
Whenever people want to explore Scaleph system, they want a running Scaleph application, then people can interact with Scaleph through Scaleph Admin.
Luckily, deploy Scaleph locally just takes three steps.
- Make sure Docker installed on your machine.
- Clone the repository
- Use Docker Compose and Scaleph Docker image quickly install and run Scaleph.
git clone https://github.com/flowerfine/scaleph.git
cd scaleph/tools/docker/deploy/scaleph
docker-compose up
Once all containers have started, the UI is ready to go at http://localhost, user can login by sys_admin/123456
please refer website
-
develop. This doc describes how to set up local development environment of Scaleph project.
-
checkstyle. Scaleph project requires clean and robust code, which can help Scaleph go further and develop better.
-
build. This doc describes how to compile
scaleph-api
orscaleph-ui-react
from source and build corresponding docker image. For more information about build from source, refer workflows and actions.-
compile. Scaleph adopts
maven
as its build system, . -
docker. As more application runs in container on cloud then bare metal machine, Scaleph provides own image.
- docker-image-build。Choose different docker compose yaml file, people can build scalph-api, scaleph-ui or both.
- docker-image-build-zh。For Chinese user.
-
-
deploy. For different deployment purpose such as develop, test or production, Scaleph make the best effort for people deploy project on local, docker and kubernetes.
- docker. require fluent network.
- kubernetes. work in process.
- data ingress and egress.
- Flink way data integration . Scaleph reduces complexity of integration through
seatunnel
,flink-cdc-connectors
and other flink connectors. - Friendly web-ui to newbies .
- Flink way data integration . Scaleph reduces complexity of integration through
- data develop
- udf + sql.
- support multi-layer data warehouse development.
- job schedule and orchestrate
- cloud native
- container and kubernetes development and runtime environment.
- flink operator
- seatunnel operator
- scaleph operator
- java 17, quarkus.
- container and kubernetes development and runtime environment.
- plugins. https://dubbo.apache.org/zh/docsv2.7/dev/principals/
This project adheres to the Contributor Covenant code of conduct
For contributions, please refer CONTRIBUTING
Thanks for all people who already contributed to Scaleph!
-
Bugs and Features: Issues
-
Chinese user:
Thanks to JetBrains for supporting us free open source licenses.
Scaleph is licenced under the Apache License Version 2.0, link is here.