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TEP-0065: Retry failed tasks on demand in a pipeline
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KFP's use case.

Co-authored-by: Tommy Li <[email protected]>
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---
status: proposed
title: Retry failed tasks on-demand in a pipeline
creation-date: '2021-05-07'
last-updated: '2021-05-07'
authors:
- '@Tomcli'
- '@ScrapCodes'
---

# TEP-0065: Retry failed tasks on-demand, in a pipeline

<!-- toc -->
- [Summary](#summary)
- [Motivation](#motivation)
- [Goals](#goals)
- [Non-Goals](#non-goals)
- [Use Cases (optional)](#use-cases-optional)
- [Requirements](#requirements)
- [Proposal](#proposal)
- [Notes/Caveats (optional)](#notescaveats-optional)
- [Risks and Mitigations](#risks-and-mitigations)
- [User Experience (optional)](#user-experience-optional)
- [Performance (optional)](#performance-optional)
- [Design Details](#design-details)
- [Test Plan](#test-plan)
- [Design Evaluation](#design-evaluation)
- [Drawbacks](#drawbacks)
- [Alternatives](#alternatives)
- [Infrastructure Needed (optional)](#infrastructure-needed-optional)
- [Upgrade &amp; Migration Strategy (optional)](#upgrade--migration-strategy-optional)
- [References (optional)](#references-optional)
<!-- /toc -->

## Summary

Presently, a pipeline has a mechanism for `retry`, which a pipeline
author can configure at the time of creation of a `Pipeline` or a
`PipelineRun`. In this TEP, we are exploring the benefits of adding a new
mechanism `retry` which will allow a user to - "on-demand" retry a failed
`pipelineRun`. A failed `pipelineRun` may have some or all tasks failed, then
a retry would make only the failed tasks run again, the successfully
completed tasks are skipped.

This will be an opt-in behaviour for pipeline and tasks, a pipeline or
a task author will be able to define that his pipeline or task does
support a retry or not.

## Motivation

**Optimal use of cluster resources.**

Ability to `retry` failed tasks is especially useful, where `tekton` is a
backend for running Machine learning pipelines. A machine learning pipeline
may consist of tasks moving large amount of data and then training ml models,
all of it can be very resource consuming and inability to retry would require
a user to start the entire pipeline over. Sometimes, the failure could be due
to temporary service outages. For example, after training the model, a task
reporting the metrics fails due to temporary service outage. A retry after
some time could easily fix it.

A pipeline may be defined with various tasks, and some tasks might move a
large amount of data and incur cost. This `retry` mechanism has substantial
value, where each task of the pipeline incurs a significant computing resources,
e.g. `tekton` is used as a backend for ML pipelines.

_Why do we need a new `retry` mechanism when we already support retry in
`Pipeline` tasks?_

The present `retry` field can only be defined at the time of creation of
pipeline. This is not suitable for use cases, where a manual intervention
is necessary to decide whether a rerun is required or not.
For example, if a service outage is causing a particular task failure, then
retrying `n` times, won't help, unless we wait for the service to be back
again and retry. For such manual interventions, we need on-demand `retry`
mechanism.

Another concocted example, if `Pipeline` were to represent a CI/CD job, then
tasks represent test suit, stress test and benchmarks. Now, we need a way to
know whether a failure was due to some regression, or it is due to flakiness
of jobs itself or temporary service outage. In this case, simply retrying `n`
number of times does not seem to help with optimal resource consumption.

### Goals

1. Explore both the merits and demerits in having a new mechanism for on-demand
retrying, an _only a failed_ pipeline.
2. A pipeline may either have failed due to some failures in the tasks or may
be user invoked cancel request. Retry only the failed/canceled tasks for a
failed `pipelineRun`.

### Non-Goals

1. Retry of successful pipeline runs or anything other than a failed pipeline/task
run.
2. Changing existing retry mechanism.
3. Manage checkpointing of pipeline state or workspaces, etc. A `pipelineRun`'s
state stored in etcd is used as is.
4. Determine, a failed tasks dependencies i.e. figuring out what
all dependent tasks are needed to rerun the failed task.

### Use Cases (optional)

1. `PipelineRun` can be very resource consuming, and are sometimes susceptible to
fail due to transient conditions. For example, due to service outage of a
particular service. In such cases, it is not enough to be retried `n` times,
a manual invocation of retry is required.

2. It will be possible to cancel (e.g. preemption) any running `PipelineRun`, and
resume at a later point.

## Requirements

<!--
Describe constraints on the solution that must be met. Examples might include
performance characteristics that must be met, specific edge cases that must
be handled, or user scenarios that will be affected and must be accomodated.
-->

## Proposal

<!--
This is where we get down to the specifics of what the proposal actually is.
This should have enough detail that reviewers can understand exactly what
you're proposing, but should not include things like API designs or
implementation. The "Design Details" section below is for the real
nitty-gritty.
-->

### Notes/Caveats (optional)

<!--
What are the caveats to the proposal?
What are some important details that didn't come across above.
Go in to as much detail as necessary here.
This might be a good place to talk about core concepts and how they relate.
-->
1. What happens if the pipeline has finally tasks that do the cleanup ?

For example, at the clean-up step in finally, a cluster is deleted. For
cases, such as this, the pipeline author can define his pipeline and not
support a manual retry. Or, if the support is a requirement, then redesign
the finally-task such that the clean-up is not done if the pipeline failed.

2. What happens if the failed task, depends on the side effect of another task.
e.g. In case of a simple pipeline `(A) ---> (B)`, (A) may create some
"side effect" state in the test cluster that will not be there if we execute
(B) alone. To overcome these challenges, we could implement this as a kind of
`opt-in` behaviour, a pipeline or task author will have the ability to
define, his task or pipeline supports a `retry`.

### Risks and Mitigations

<!--
What are the risks of this proposal and how do we mitigate. Think broadly.
For example, consider both security and how this will impact the larger
kubernetes ecosystem.
How will security be reviewed and by whom?
How will UX be reviewed and by whom?
Consider including folks that also work outside the WGs or subproject.
-->

### User Experience (optional)

<!--
Consideration about the user experience. Depending on the area of change,
users may be task and pipeline editors, they may trigger task and pipeline
runs or they may be responsible for monitoring the execution of runs,
via CLI, dashboard or a monitoring system.
Consider including folks that also work on CLI and dashboard.
-->

### Performance (optional)

<!--
Consideration about performance.
What impact does this change have on the start-up time and execution time
of task and pipeline runs? What impact does it have on the resource footprint
of Tekton controllers as well as task and pipeline runs?
Consider which use cases are impacted by this change and what are their
performance requirements.
-->

## Design Details

<!--
This section should contain enough information that the specifics of your
change are understandable. This may include API specs (though not always
required) or even code snippets. If there's any ambiguity about HOW your
proposal will be implemented, this is the place to discuss them.
If it's helpful to include workflow diagrams or any other related images,
add them under "/teps/images/". It's upto the TEP author to choose the name
of the file, but general guidance is to include at least TEP number in the
file name, for example, "/teps/images/NNNN-workflow.jpg".
-->

## Test Plan

<!--
**Note:** *Not required until targeted at a release.*
Consider the following in developing a test plan for this enhancement:
- Will there be e2e and integration tests, in addition to unit tests?
- How will it be tested in isolation vs with other components?
No need to outline all of the test cases, just the general strategy. Anything
that would count as tricky in the implementation and anything particularly
challenging to test should be called out.
All code is expected to have adequate tests (eventually with coverage
expectations).
-->

## Design Evaluation
<!--
How does this proposal affect the reusability, simplicity, flexibility
and conformance of Tekton, as described in [design principles](https://github.com/tektoncd/community/blob/master/design-principles.md)
-->

## Drawbacks

<!--
Why should this TEP _not_ be implemented?
-->

## Alternatives

<!--
What other approaches did you consider and why did you rule them out? These do
not need to be as detailed as the proposal, but should include enough
information to express the idea and why it was not acceptable.
-->

## Infrastructure Needed (optional)

<!--
Use this section if you need things from the project/SIG. Examples include a
new subproject, repos requested, github details. Listing these here allows a
SIG to get the process for these resources started right away.
-->

## Upgrade & Migration Strategy (optional)

<!--
Use this section to detail wether this feature needs an upgrade or
migration strategy. This is especially useful when we modify a
behavior or add a feature that may replace and deprecate a current one.
-->

## References (optional)

<!--
Use this section to add links to GitHub issues, other TEPs, design docs in Tekton
shared drive, examples, etc. This is useful to refer back to any other related links
to get more details.
-->
1 change: 1 addition & 0 deletions teps/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -185,3 +185,4 @@ This is the complete list of Tekton teps:
|[TEP-0059](0059-skip-guarded-task-only.md) | Skip Guarded Task Only | proposed | 2021-03-24 |
|[TEP-0061](0061-allow-custom-task-to-be-embedded-in-pipeline.md) | Allow custom task to be embedded in pipeline | implementable | 2021-04-28 |
|[TEP-0063](0063-workspace-dependencies.md) | Workspace Dependencies | proposed | 2021-04-23 |
|[TEP-0065](0065-retry-failed-tasks-on-demand.md) | Retry failed tasks on-demand in a pipeline | proposed | 2021-05-07 |

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