Manual Installation

If Docker does not suit your needs, you can manually install the parts you need to run Spring Cloud Data Flow.

If you want to use Spring Cloud Data Flow only for batch and task processing (that is, not for processing streams), see the Batch-only Mode recipe.

Downloading Server Jars

Download the Spring Cloud Data Flow Server and shell by using the following commands:

wget https://repo.maven.apache.org/maven2/org/springframework/cloud/spring-cloud-dataflow-server/2.11.5/spring-cloud-dataflow-server-2.11.5.jar

wget https://repo.maven.apache.org/maven2/org/springframework/cloud/spring-cloud-dataflow-shell/2.11.5/spring-cloud-dataflow-shell-2.11.5.jar

Download Skipper by running the following command:

wget https://repo.maven.apache.org/maven2/org/springframework/cloud/spring-cloud-skipper-server/2.11.5/spring-cloud-skipper-server-2.11.5.jar

If you are interested in trying out the latest SNAPSHOT (that is, the snapshot build from the main branch) of SCDF and Skipper's upstream versions, you can use the following commands:

wget https://repo.spring.io/snapshot/org/springframework/cloud/spring-cloud-dataflow-server/2.11.6-SNAPSHOT/spring-cloud-dataflow-server-2.11.6-SNAPSHOT.jar

wget https://repo.spring.io/snapshot/org/springframework/cloud/spring-cloud-dataflow-shell/2.11.6-SNAPSHOT/spring-cloud-dataflow-shell-2.11.6-SNAPSHOT.jar

wget https://repo.spring.io/snapshot/org/springframework/cloud/spring-cloud-skipper-server/2.11.6-SNAPSHOT/spring-cloud-skipper-server-2.11.6-SNAPSHOT.jar

Install Messaging Middleware

These instructions require that RabbitMQ be running on the same machine as Skipper, Spring Cloud Data Flow server, and Shell.

To install and run the RabbitMQ docker image, use the following command:

docker run -d --hostname rabbitmq --name rabbitmq -p 15672:15672 -p 5672:5672 rabbitmq:3.7

Starting Server Jars

Now you need to start the applications that comprise the server:

Skipper

In the directory where you downloaded Skipper, run the server by using java -jar, as follows:

java -jar spring-cloud-skipper-server-2.11.5.jar

Dataflow

In a different terminal window and in the directory where you downloaded Data Flow, run the server by using java -jar, as follows:

java -jar spring-cloud-dataflow-server-2.11.5.jar

If Skipper and the Data Flow server are not running on the same host, set the spring.cloud.skipper.client.serverUri configuration property to the location of Skipper, as shown in the following example:

java -jar spring-cloud-dataflow-server-2.11.5.jar --spring.cloud.skipper.client.serverUri=https://192.51.100.1:7577/api

Shell

If you want to use the Spring Cloud Data Flow shell, start it with the following command:

java -jar spring-cloud-dataflow-shell-2.11.5.jar

If the Data Flow Server and shell are not running on the same host, you can also point the shell to the Data Flow server URL by using the dataflow config server command in Shell, as follows:

server-unknown:>dataflow config server https://198.51.100.0
Successfully targeted https://198.51.100.0

Alternatively, you can pass in the --dataflow.uri command line option. The shell’s --help command line option shows what is available.

Proxy Servers

If you run Spring Cloud Data Flow Server behind a proxy server you may also need to set the server.use-forward-headers property to true. Additional information is also available in the Spring Boot Reference Guide.

Accessing Data Flow Dashboard

You can now navigate to Spring Cloud Data Flow Dashboard. In your browser, navigate to the Spring Cloud Data Flow Dashboard URL.