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+---
+title: pending-pipeline-run
+authors:
+  - "@jbarrick-mesosphere"
+creation-date: 2020-09-10
+last-updated: 2020-09-10
+status: implementable
+---
+
+# TEP-0015: Support Pending PipelineRuns
+
+<!-- toc -->
+- [Summary](#summary)
+- [Motivation](#motivation)
+  - [Goals](#goals)
+  - [Non-Goals](#non-goals)
+- [Requirements](#requirements)
+- [Proposal](#proposal)
+  - [User Stories](#user-stories)
+    - [Platform Implementor](#platform-implementor)
+- [Alternatives](#alternatives)
+<!-- /toc -->
+
+## Summary
+
+This TEP proposes a method for pausing `PipelineRuns` that are then ignored by
+the Tekton reconciler. These pending resources can be used by platform
+implementers to control when a `PipelineRun` can create new `TaskRuns`, for
+example, in cases where the cluster is under heavy load and not ready to process
+new `TaskRuns`.
+
+`PipelineRuns` can be created in a pending state so that they are not started at all.
+
+## Motivation
+
+The primary motivation for this is to support operators who need to control the
+start up of `PipelineRuns` in clusters that are under heavy load. By allowing
+`PipelineRuns` to be created without actually starting them, one could implement
+a custom controller to implement any `PipelineRun` scheduling policy that is
+transparent to the `PipelineRun` controller and `PipelineRun` creator (e.g.,
+Tekton triggers).
+
+With this feature, platforms can control when `PipelineRuns` are started without
+introducing a bespoke system for storing `PipelineRuns` - potentially adding new
+failure scenarios or UI complexity.
+
+### Goals
+
+* Provide a pending mechanism for `PipelineRuns` that operators can use
+  to control whether or not a `PipelineRun` is running (e.g., "creating new
+  `TaskRuns`").
+
+### Non-Goals
+
+* Support pausing of a running `TaskRun` as that would requiring pausing the
+  Kubernetes pods themselves.
+
+## Requirements
+
+* Provide a mechanism to operators that can be used to mark a `PipelineRun` in a pending
+  state.
+* `PipelineRuns` that are created with the pending setting enabled are not started
+  until the setting is toggled off.
+
+## Proposal
+
+The `PipelineRunSpec` supports a field called `Status` of the type
+`PipelineRunSpecStatus`. Currently the field only supports a single setting,
+`PipelineRunCancelled`. This field will be expanded to support an additional
+setting, `PipelineRunPending`.
+
+When the `Status` field is set to `PipelineRunPending`, the Tekton reconciler
+will set the `Succeeded` `Condition` `Reason` in the `PipelineRun` `Status` to
+`PipelineRunPending`:
+
+```
+status:
+  conditions:
+  - lastTransitionTime: "2020-09-15T18:15:29Z"
+    message: 'PipelineRun is pending.'
+    reason: PipelineRunPending
+    status: "Unknown"
+    type: Succeeded
+```
+
+To start a PipelineRun that was created in a pending state, the operator should
+set the `Status` field to empty.
+
+We will introduce a check to the beginning of the PipelineRun reconciler that
+exits the reconciler method if the `Status` is Pending. If the `Status` is
+cleared, then the reconciler will see that update and run the reconciler method
+without exiting it early.
+
+As the `startTime` status field is used to determine if a PipelineRun has timed
+out and not the PipelineRun creation time, this feature does not affect timeout
+behavior.
+
+If the `PipelineRunPending` setting is set after a PipelineRun has been created,
+the validating webhook should reject the update.
+
+### User Stories
+
+#### Platform Implementor
+
+As a platform implementor, I want to be able to control when a `PipelineRun` is
+able to run without introducing bespoke machinery.
+
+## Alternatives
+
+* Instead of adding this setting directly to the `PipelineRun` object,
+  users could introduce a new CRD, e.g., a `QueuedPipelineRun`, which has all
+  the same fields as a `PipelineRun` but is inert. This has a number of
+  drawbacks in that users would need to be aware of it, the UI would need to be
+  aware of it, and the added complexity of maintaining a new CRD or abstraction.
+* `PipelineRuns` that are not ready to be started could be stored in a
+  non-Kubernetes-native queue, such as Redis, and only submitted once they are
+  ready to run. This adds complexity in that a new data store must be run and
+  it is not easy to provide users visibility into the queue.