Skip to content

Spring Cloud Data Flow provides orchestration for data microservices, including both stream and task processing

License

Notifications You must be signed in to change notification settings

amgir/spring-cloud-dataflow

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Test für die Schulung

Latest Release Version Latest Snapshot Version

Spring Cloud Data Flow Build Status Stories Ready Stories In Progress

The Spring Cloud Data Flow project provides orchestration for data microservices, including long lived stream applications and short lived task applications.

Components

The Core domain module includes the concept of a stream that is a composition of spring-cloud-stream modules in a linear pipeline from a source to a sink, optionally including processor module(s) in between. The domain also includes the concept of a task, which may be any process that does not run indefinitely, including Spring Batch jobs.

The App Registry maintains the set of available apps, and their mappings to URIs. For example, if relying on Maven coordinates, an app’s URI would be of the format: maven://<groupId>:<artifactId>:<version>

The Data Flow Server is a Spring Boot application that provides a common REST API and UI. For each runtime environment there is a different version of the Data Flow Server that depends upon a deployer SPI implementation for that environment. The github locations for these Data Flow Servers are:

The deployer SPI mentioned above is defined within the Spring Cloud Deployer project. That provides an abstraction layer for deploying the apps of a given stream or task and managing their lifecycle. The github locations for the corresponding Spring Cloud Deployer SPI implementations are:

The Shell connects to the Data Flow Server’s REST API and supports a DSL that simplifies the process of defining a stream or task and managing its lifecycle.

Instructions for running the Data Flow Server for each runtime environment can be found in their respective github repositories.

Building

Clone the repo and type

$ ./mvnw clean install

For more information on building, see this link.

Contributing

We love contributions. Follow this link for more information on how to contribute.

About

Spring Cloud Data Flow provides orchestration for data microservices, including both stream and task processing

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Java 96.1%
  • XSLT 2.6%
  • Other 1.3%