Documentation
Runnable Custom Resources
Runnable
A Runnable
object declares the intention of having immutable objects submitted to Kubernetes according to a template (
via ClusterRunTemplate) whenever any of the inputs passed to it changes. i.e., it allows us to provide a mutable spec
that drives the creation of immutable objects whenever that spec changes.
apiVersion: carto.run/v1alpha1
kind: Runnable
metadata:
name: test-runner
spec:
# service account with permissions to create resources submitted by the runnable
# if not set, will use the default service account in the runnable's namespace
#
serviceAccountName: runnable-service-account
# data to be made available to the template of ClusterRunTemplate
# that we point at.
#
# this field takes as value an object that maps strings to values of any
# kind, which can then be reference in a template using jsonpath such as
# `$(runnable.spec.inputs.<key...>)$`.
#
# (required)
#
inputs:
serviceAccount: bla
params:
- name: foo
value: bar
# reference to a ClusterRunTemplate that defines how objects should be
# created referencing the data passed to the Runnable.
#
# (required)
#
runTemplateRef:
name: job-runner
# an optional selection rule for finding an object that should be used
# together with the one being stamped out by the runnable.
#
# an object found using the rules described here are made available during
# interpolation time via `$(selected.<...object>)$`.
#
# (optional)
#
selector:
resource:
kind: Pipeline
apiVersion: tekton.dev/v1beta1
matchingLabels:
pipelines.foo.bar: testing
ClusterRunTemplate
A ClusterRunTemplate
defines how an immutable object should be stamped out based on data provided by a Runnable
.
apiVersion: carto.run/v1alpha1
kind: ClusterRunTemplate
metadata:
name: image-builder
spec:
# data to be gathered from the objects that it interpolates once they #
# succeeded (based on the object presenting a condition with type 'Succeeded'
# and status `True`).
#
# (optional)
#
outputs:
# e.g., make available under the Runnable `outputs` section in `status` a
# field called "latestImage" that exposes the result named 'IMAGE-DIGEST'
# of a tekton task that builds a container image.
#
latestImage: .status.results[?(@.name=="IMAGE-DIGEST")].value
# definition of the object to interpolate and submit to kubernetes.
#
# data available for interpolation:
# - `runnable`: the Runnable object that referenced this template.
#
# e.g.: params:
# - name: revison
# value: $(runnable.spec.inputs.git-revision)$
#
#
# - `selected`: a related object that got selected using the Runnable
# selector query.
#
# e.g.: taskRef:
# name: $(selected.metadata.name)$
# namespace: $(selected.metadata.namespace)$
#
# (required)
#
template:
apiVersion: tekton.dev/v1beta1
kind: TaskRun
metadata:
generateName: $(runnable.metadata.name)$-
spec:
serviceAccountName: $(runnable.spec.inputs.serviceAccount)$
taskRef: $(runnable.spec.inputs.taskRef)$
params: $(runnable.spec.inputs.params)$
ClusterRunTemplate differs from supply chain templates in many aspects:
-
ClusterRunTemplate cannot be referenced directly by a ClusterSupplyChain object (it can only be reference by a Runnable)
-
outputs
provide a free-form way of exposing any form of results from what has been run (i.e., submitted by the Runnable) to the status of the Runnable object (as opposed to typed “source”, “image”, and “config” from supply chains) -
Templating context (values provided to the interpolation) is specific to the Runnable: the runnable object itself and the object resulting from the selection query.
-
Templated object metadata.name should not be set. differently from ClusterSupplyChain, a Runnable has the semantics of creating new objects on change, rather than patching. This means that on every input set change, a new name must be derived. To be sure that a name can always be generated,
metadata.generateName
should be set rather thanmetadata.name
.
Similarly to other templates, ClusterRunTemplate has a template
field where data is taken (in this case, from Runnable
and selected objects via runnable.spec.selector
) and via $()$
allows one to interpolate such data to form a final
object.