The Spring Cloud Composed Task Runner is a helper used by the Data Flow server to parse a directed graph DSL, launch the task definition specified in an instance, and check task completion status.
Overview of SCDF Composed Task Runner
docker run --name spring-cloud-dataflow-composed-task-runner bitnami/spring-cloud-dataflow-composed-task-runner:latest- Bitnami closely tracks upstream source changes and promptly publishes new versions of this image using our automated systems.
- With Bitnami images the latest bug fixes and features are available as soon as possible.
- Bitnami containers, virtual machines and cloud images use the same components and configuration approach - making it easy to switch between formats based on your project needs.
- All our images are based on minideb -a minimalist Debian based container image that gives you a small base container image and the familiarity of a leading Linux distribution- or scratch -an explicitly empty image-.
- All Bitnami images available in Docker Hub are signed with Notation. Check this post to know how to verify the integrity of the images.
- Bitnami container images are released on a regular basis with the latest distribution packages available.
Looking to use SCDF Composed Task Runner in production? Try VMware Tanzu Application Catalog, the commercial edition of the Bitnami catalog.
Starting December 10th 2024, only the latest stable branch of any container will receive updates in the free Bitnami catalog. To access up-to-date releases for all upstream-supported branches, consider upgrading to Bitnami Premium. Previous versions already released will not be deleted. They are still available to pull from DockerHub.
Please check the Bitnami Premium page in our partner Arrow Electronics for more information.
Learn more about the Bitnami tagging policy and the difference between rolling tags and immutable tags in our documentation page.
You can see the equivalence between the different tags by taking a look at the tags-info.yaml file present in the branch folder, i.e bitnami/ASSET/BRANCH/DISTRO/tags-info.yaml.
Subscribe to project updates by watching the bitnami/containers GitHub repo.
The recommended way to get the Bitnami spring-cloud-dataflow-composed-task-runner Docker Image is to pull the prebuilt image from the Docker Hub Registry.
docker pull bitnami/spring-cloud-dataflow-composed-task-runner:latestTo use a specific version, you can pull a versioned tag. You can view the list of available versions in the Docker Hub Registry.
docker pull bitnami/spring-cloud-dataflow-composed-task-runner:[TAG]If you wish, you can also build the image yourself by cloning the repository, changing to the directory containing the Dockerfile and executing the docker build command. Remember to replace the APP, VERSION and OPERATING-SYSTEM path placeholders in the example command below with the correct values.
git clone https://github.com/bitnami/containers.git
cd bitnami/APP/VERSION/OPERATING-SYSTEM
docker build -t bitnami/APP:latest .| Name | Description | Default Value |
|---|---|---|
JAVA_OPTS |
JVM options | nil |
JAVA_TOOL_OPTIONS |
Java tool options. | nil |
| Name | Description | Value |
|---|---|---|
SCDF_COMPOSED_TASK_RUNNER_BASE_DIR |
Base path for SCDF COMPOSED TASK RUNNER files. | ${BITNAMI_ROOT_DIR}/spring-cloud-dataflow-composed-task-runner |
SCDF_COMPOSED_TASK_RUNNER_M2_DIR |
SCDF COMPOSED TASK RUNNER maven root dir. | /.m2 |
SCDF_COMPOSED_TASK_RUNNER_DAEMON_USER |
Users that will execute the SCDF COMPOSED TASK RUNNER Server process. | dataflow |
SCDF_COMPOSED_TASK_RUNNER_DAEMON_GROUP |
Group that will execute the SCDF COMPOSED TASK RUNNER Server process. | dataflow |
To run tasks inside this container you can use docker run:
docker run --rm --name spring-cloud-dataflow-composed-task-runner bitnami/spring-cloud-dataflow-composed-task-runner:latest <runner_args>- The
docker-compose.yamlfile has been removed, as it was solely intended for internal testing purposes.
We'd love for you to contribute to this container. You can request new features by creating an issue or submitting a pull request with your contribution.
If you encountered a problem running this container, you can file an issue. For us to provide better support, be sure to fill the issue template.
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