1.0.0.M2
Copyright © 2013-2016 Pivotal Software, Inc.
Table of Contents
This project provides support for deploying Spring Cloud Stream and Spring Cloud Task apps to Cloud Foundry.
Spring Cloud Data Flow can be used to deploy modules in a Cloud Foundry environment. When doing so, the server application can either run itself on Cloud Foundry, or on another installation (e.g. a simple laptop).
The required configuration amounts to the same in either case, and is merely related to providing credentials to the Cloud Foundry instance so that the server can spawn applications itself. Any Spring Boot compatible configuration mechanism can be used (passing program arguments, editing configuration files before building the application, using Spring Cloud Config, using environment variables, etc.), although some may prove more practicable than others when running on Cloud Foundry.
Use cf marketplace
to discover which plans are available to you, depending on the details of your Cloud Foundry setup.
For example when using Pivotal Web Services:
cf create-service rediscloud 30mb redis
wget http://repo.spring.io/milestone/org/springframework/cloud/spring-cloud-dataflow-server-cloudfoundry/1.0.0.M2/spring-cloud-dataflow-server-cloudfoundry-1.0.0.M2.jar wget http://repo.spring.io/milestone/org/springframework/cloud/spring-cloud-dataflow-shell/1.0.0.M3/spring-cloud-dataflow-shell-1.0.0.M3.jar
You can either deploy the server application on Cloud Foundry itself or on your local machine. The following two sections explain each way of running the server.
Push the server application on Cloud Foundry, configure it (see below) and start it.
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You must use a unique name for your app; an app with the same name in the same organization will cause your deployment to fail |
cf push s-c-dataflow-server --no-start -p spring-cloud-dataflow-server-cloudfoundry-1.0.0.M2.jar cf bind-service s-c-dataflow-server redis
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If you are pushing to a space with multiple users, for example on PWS, there may already be a route taken for the
applicaiton name you have chosen. You can use the options |
Now we can configure the app. The following configuration is for Pivotal Web Services. You need to fill in {org}, {space}, {email} and {password} before running these commands.
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Only set 'Skip SSL Validation' to true if you’re running on a Cloud Foundry instance using self-signed certs (e.g. in development). Do not use for production. |
cf set-env s-c-dataflow-server SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_API_ENDPOINT https://api.run.pivotal.io cf set-env s-c-dataflow-server SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_ORGANIZATION {org} cf set-env s-c-dataflow-server SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SPACE {space} cf set-env s-c-dataflow-server SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_DOMAIN cfapps.io cf set-env s-c-dataflow-server SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SERVICES redis cf set-env s-c-dataflow-server SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_USERNAME {email} cf set-env s-c-dataflow-server SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_PASSWORD {password} cf set-env s-c-dataflow-server SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SKIP_SSL_VALIDATION false
We are now ready to start the app.
cf start s-c-dataflow-server
Alternatively, you can run the Admin application locally on your machine which is described in the next section.
To run the server application locally, targeting your Cloud Foundry installation, you you need to configure the application either by passing in command line arguments (see below) or setting a number of environment variables.
To use environment variables set the following:
export SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_API_ENDPOINT=https://api.run.pivotal.io export SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_ORGANIZATION={org} export SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SPACE={space} export SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_DOMAIN=cfapps.io export SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SERVICES=redis export SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_USERNAME={email} export SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_PASSWORD={password} export SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SKIP_SSL_VALIDATION=false
You need to fill in {org}, {space}, {email} and {password} before running these commands.
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Only set 'Skip SSL Validation' to true if you’re running on a Cloud Foundry instance using self-signed certs (e.g. in development). Do not use for production. |
Now we are ready to start the server application:
java -jar spring-cloud-dataflow-server-cloudfoundry-1.0.0.M2.jar [--option1=value1] [--option2=value2] [etc.]
Run the shell and optionally target the Admin application if not running on the same host (will typically be the case if deployed on Cloud Foundry as explained here)
$ java -jar spring-cloud-dataflow-shell-1.0.0.M3.jar
server-unknown:>dataflow config server http://s-c-dataflow-server.cfapps.io Successfully targeted http://s-c-dataflow-server.cfapps.io dataflow:>
The following pieces of configuration must be provided, e.g. by setting variables in the apps environment, or passing variables on the Java invocation:
# Default values cited after the equal sign. # Example values, typical for Pivotal Web Services, cited as a comment # url of the CF API (used when using cf login -a for example), e.g. https://api.run.pivotal.io # (for setting env var use SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_API_ENDPOINT) spring.cloud.deployer.cloudfoundry.apiEndpoint= # name of the organization that owns the space above, e.g. youruser-org # (For Setting Env var use SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_ORGANIZATION) spring.cloud.deployer.cloudfoundry.organization= # name of the space into which modules will be deployed # (for setting env var use SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SPACE) spring.cloud.deployer.cloudfoundry.space=<same space as server when running on CF, or 'development'> # the root domain to use when mapping routes, e.g. cfapps.io # (for setting env var use SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_DOMAIN) spring.cloud.deployer.cloudfoundry.domain= # Comma separated set of service instance names to bind to the module. # Amongst other things, this should include a service that will be used # for Spring Cloud Stream binding # (for setting env var use SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SERVICES) spring.cloud.deployer.cloudfoundry.services=redis # username and password of the user to use to create apps (modules) # (for setting env var use SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_USERNAME and SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_PASSWORD) spring.cloud.deployer.cloudfoundry.username= spring.cloud.deployer.cloudfoundry.password= # Whether to allow self-signed certificates during SSL validation # (for setting env var use SPRING_CLOUD_DEPLOYER_CLOUDFOUNDRY_SKIP_SSL_VALIDATION) spring.cloud.deployer.cloudfoundry.skipSslValidation=false
To build the source you will need to install JDK 1.8.
The build uses the Maven wrapper so you don’t have to install a specific version of Maven. To enable the tests for Redis you should run the server before bulding. See below for more information on how run Redis.
The main build command is
$ ./mvnw clean install
You can also add '-DskipTests' if you like, to avoid running the tests.
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You can also install Maven (>=3.3.3) yourself and run the |
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Be aware that you might need to increase the amount of memory
available to Maven by setting a |
The projects that require middleware generally include a
docker-compose.yml
, so consider using
Docker Compose to run the middeware servers
in Docker containers. See the README in the
scripts demo
repository for specific instructions about the common cases of mongo,
rabbit and redis.
There is a "full" profile that will generate documentation. You can build just the documentation by executing
$ ./mvnw package -DskipTests=true -P full -pl spring-cloud-dataflow-server-cloudfoundry-docs -am
If you don’t have an IDE preference we would recommend that you use Spring Tools Suite or Eclipse when working with the code. We use the m2eclipe eclipse plugin for maven support. Other IDEs and tools should also work without issue.
We recommend the m2eclipe eclipse plugin when working with eclipse. If you don’t already have m2eclipse installed it is available from the "eclipse marketplace".
Unfortunately m2e does not yet support Maven 3.3, so once the projects
are imported into Eclipse you will also need to tell m2eclipse to use
the .settings.xml
file for the projects. If you do not do this you
may see many different errors related to the POMs in the
projects. Open your Eclipse preferences, expand the Maven
preferences, and select User Settings. In the User Settings field
click Browse and navigate to the Spring Cloud project you imported
selecting the .settings.xml
file in that project. Click Apply and
then OK to save the preference changes.
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Alternatively you can copy the repository settings from |