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/2.10.2/spring-cloud-dataflow-server-2.10.2.jar wget https://repo.maven.apache.org/maven2/org/springframework/cloud/spring-cloud-dataflow-shell/2.10.2/spring-cloud-dataflow-shell-2.10.2.jar
Download Skipper by running the following command:
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/2.10.2-SNAPSHOT/spring-cloud-dataflow-server-2.10.2-SNAPSHOT.jar wget https://repo.spring.io/snapshot/org/springframework/cloud/spring-cloud-dataflow-shell/2.10.2-SNAPSHOT/spring-cloud-dataflow-shell-2.10.2-SNAPSHOT.jar wget https://repo.spring.io/snapshot/org/springframework/cloud/spring-cloud-skipper-server/2.9.2-SNAPSHOT/spring-cloud-skipper-server-2.9.2-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:
In the directory where you downloaded Skipper, run the server by using
java -jar, as follows:
java -jar spring-cloud-skipper-server-2.9.2.jar
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-2.10.2.jar
If Skipper and the Data Flow server are not running on the same
host, set the
property to the location of Skipper, as shown in the following
java -jar spring-cloud-dataflow-server-2.10.2.jar --spring.cloud.skipper.client.serverUri=https://18.104.22.168:7577/api
If you want to use the Spring Cloud Data Flow shell, start it with the following command:
java -jar spring-cloud-dataflow-shell-2.10.2.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.
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.