Tekton Results aims to help users logically group CI/CD workload history and separate out long term result storage away from the Pipeline controller. This allows you to:
- Provide custom Result metadata about your CI/CD workflows not available in the Tekton TaskRun/PipelineRun CRDs (for example: post-run actions)
- Group related workloads together (e.g. bundle related TaskRuns and PipelineRuns into a single unit)
- Make long-term result history independent of the Pipeline CRD controller, letting you free up etcd resources for Run execution.
- Store logs produced by the TaskRuns/PipelineRuns so that completed Runs can be cleaned to save resources.
Additional background and design motivations can be found in TEP-0021.
Tekton Results is composed of 2 main components:
- A queryable gRPC API server backed by persistent storage (see proto/v1alpha2 for the latest API spec).
- A controller to watch and report TaskRun and PipelineRun updates to the API server.
sequenceDiagram
actor U as Users
participant PC as Pipeline Controller
participant RW as Result Watcher
participant RA as Result API
U->>PC: Create PipelineRun/TaskRun
RW-->>PC: Watch PipelineRun/TaskRun
Note over PC,RW: Wait for PipelineRun/TaskRun Completion
RW->>RA: Update results database
U--)RA: Get Results
- User creates a TaskRun or PipelineRun via the Kubernetes API as usual.
- Result Watcher listens for all TaskRun/PipelineRun changes.
- If a TaskRun/PipelineRun has changed, Watcher updates (or creates) a
corresponding
Record(andResultif necessary using the Results API.- Watcher will also annotate the original TaskRun/PipelineRun with identifiers as well.
- Users can get/query Result/Record data directly from the API. Once the TaskRun/PipelineRun is complete and has been successfully stored in the Result API, the original CRD object can be safely removed from the cluster.
- Installation
- Results API: Learn how to connect to the API and make queries.
- Watcher: Learn what types the Watcher supports and how it determines Result groupings.
---
title: Tekton Results Data Model
---
graph BT
B(TaskRun) --> |Record| A[Result]
C(Log) --> |Record| A
D(PipelineRun) --> |Record| A
- Records are individual instances of data. These will commonly be execution data (e.g. PipelineRun, TaskRuns, Logs), but could also reference additional data about the event/execution. Records are intended to be flexible to support arbitrary information tools want to provide around a CI event.
- Results are aggregators of Records, allowing users to refer to groups of
Records as a single entity. For example, you might have a single Result that
groups the following Records:
- Source Event (e.g. pull request, push) that kicked off the action.
- The PipelineRun that occurred.
- The TaskRuns that occurred in response of the PipelineRun (one per Task).
- Receipt of Cloud Event delivery.
- Receipt of Source status update.
(Note: not all of these types of data are supported by the Watcher yet, but are examples of the data we intend to support).