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"/assign @capri-xiyue ",
"PR merged https://github.com/kubeflow/pipelines/pull/6569\r\nTO DO \r\n- [ ] Update v2 caching doc ",
"reassigned it to @chensun",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for... | 2021-07-27T14:10:00 | 2023-01-18T08:35:06 | 2023-01-18T08:35:06 | CONTRIBUTOR | null | - [ ] ~#8696~ | {
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"Is this an issue for tracking the implementation of replacements for things such as `{{workflow.status}}`? \r\n\r\nIf so:\r\n\r\n`{{$.pipeline_task_name}}` and `{{$.pipeline_task_uuid}}` don't seem to work on Vertex AI at the moment (not sure about a self hosted KFP). Is this expected? I've also tried various plac... | 2021-07-27T14:00:48 | 2023-01-18T09:43:28 | null | CONTRIBUTOR | null | null | {
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"P0 work items done"
] | 2021-07-27T14:00:24 | 2021-08-24T13:32:26 | 2021-08-24T13:32:25 | CONTRIBUTOR | null | Support v2 placeholders in KFP v2.
Tasks
* [x] #6151
* [x] #6152
* [x] #6153
* [x] #6154
* [ ] #6155
* [x] https://github.com/kubeflow/pipelines/pull/6353 | {
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"Done"
] | 2021-07-27T14:00:08 | 2021-08-02T14:19:40 | 2021-08-02T12:10:42 | CONTRIBUTOR | null | Explanation: backend compiler compiles from [KFP pipeline spec](https://github.com/kubeflow/pipelines/blob/master/api/v2alpha1/pipeline_spec.proto) to argo workflow (potentially, other implementations may compile it to other execution spec).
Design: [bit.ly/kfp-v2](https://bit.ly/kfp-v2)
This issue tracks implementin... | {
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"I'll directly track this in #6110"
] | 2021-07-27T14:00:03 | 2021-07-28T10:53:01 | 2021-07-28T10:53:00 | CONTRIBUTOR | null | null | {
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"The AIPlatformClient in KFP SDK will be deprecated and we would recommend starting to use `google-cloud-aiplatform`. \r\n\r\nCurrently, the `create_run_from_job_spec` is completed moved over and `create_schedule_from_job_spec` is in-progress. We are working on a code sample of usage in `google-cloud-aiplatform` (V... | 2021-07-27T13:05:29 | 2022-03-15T16:18:49 | 2021-07-28T07:41:14 | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
I'm using kfp SDK to use Vertex pipeline of GCP by `AIPlatformClient`. So I want to propose several pull requests to the functions like `create_run_from_job_spec` and `create_schedule_from_job_spec` for fixing bugs and adjust specifications. ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-07-26T17:04:58 | 2022-03-03T02:05:15 | null | COLLABORATOR | null |
Currently we shows stacktrace on Input/Output banner if the artifact is `aiplatform://xxx`. We should skip the preview and downloadable link generation. Maybe show a banner to explain that this is unavailable for Google Cloud specific resource prefix. | {
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"I've also just tested the issues with 1.7.0-rc2.\r\n\r\nI've tried kfp 1.4.0 and 1.6.6.",
"Downgrading the metadata images seems to have solved this for me:\r\n\r\n```\r\nimages:\r\n - name: gcr.io/ml-pipeline/metadata-envoy\r\n newTag: 1.4.0\r\n - name: gcr.io/tfx-oss-public/ml_metadata_store_server\r\n ... | 2021-07-26T10:37:03 | 2022-09-30T03:29:40 | null | CONTRIBUTOR | null | /kind bug
I upgraded Kubeflow from 1.4.0 to 1.7.0-rc1 with the platnform-agnostic manifests.
While I now see correct visualizations of statistics from runs that happened before upgrading to 1.7.0-rc1, new runs only display the markdown details.
The TFX pipelines I submit are exactly the same. On the new runs ... | {
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"/assign @chensun @neuromage ",
"This is a known issues, and it was a regression we introduced when workaround the limitation that IR doesn't support optional inputs.\r\nI left a TODO in the code:\r\n\r\nhttps://github.com/kubeflow/pipelines/blob/42e13ebc41c6d318eebe797047ccd0d83641c0d8/sdk/python/kfp/dsl/_compon... | 2021-07-26T03:25:11 | 2022-03-03T02:05:14 | null | CONTRIBUTOR | null | ### Environment
* KFP version: 1.7.0-rc.2
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: master
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the lef... | {
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"Closing because v2 compatible is no longer supported, we are working on the complete KFP v2.\n\n/cc @chensun \nWe used to have this issue for v2 compatible, a lot of them are still unsolved for v2 engine mode as well."
] | 2021-07-26T03:14:40 | 2023-01-18T08:21:42 | 2022-01-20T12:22:00 | CONTRIBUTOR | null | This issue is a living tracker for known caveats & breaking changes of v2 compatible mode to facilitate visibility:
The information is updated as KFP 1.7.0
Breaking changes:
* https://www.kubeflow.org/docs/components/pipelines/sdk/v2/v2-compatibility/#building-pipelines-using-the-kubeflow-pipelines-sdk-v2
* `comm... | {
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"Hello, on our side this is one of the most important feature for v2. \r\nBeing able to run multiple pipelines and then easily compare the metrics of each pipeline in a single view is key in our workflow. \r\nWe loved that v1 offered this and we cannot wait for it to be available on v2. \r\nCheers!",
"This iss... | 2021-07-26T02:54:20 | 2023-01-18T08:21:42 | 2023-01-18T08:21:42 | CONTRIBUTOR | null | KFP v1 supports metrics feature https://www.kubeflow.org/docs/components/pipelines/sdk/pipelines-metrics/.
V2 compatible mode does not yet support it, because supporting this feature is relatively hard. I'd like some feedback how important this feature is for you. Please thumbs up on the issue and probably explain y... | {
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"/assign @IronPan ",
"/assign @SinaChavoshi ",
"P0, because this breaks all postsubmit builds, thus blocking us to release",
"Pasting error messages:\r\n\r\n```\r\nStep 4/9 : RUN python3 -m pip install -r requirements.txt --quiet --no-cache-dir && rm -f requirements.txt\r\n ---> Running in ac5c4843fab... | 2021-07-24T03:08:00 | 2021-07-27T00:51:45 | 2021-07-27T00:51:45 | CONTRIBUTOR | null | The first failure happened at https://github.com/kubeflow/pipelines/runs/3137853377, but the failure itself seems unrelated to the PR, so I think it's caused by some external dependency change. | {
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"POC is available at this branch\r\n\r\nhttps://github.com/zijianjoy/pipelines/tree/dag-poc"
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"Hi @ReggieCarey!\r\nCan you give output of `kubectl logs ml-pipeline-9b68d49cb-x67mp ml-pipeline-api-server --previous`? that should include logs from last failed container.",
"For metadata-writer, what is status of `metadata-grpc-server`? metadata-writer fails to connect to the store",
"Thanks Yuan Gong,\r\n\... | 2021-07-23T16:05:49 | 2023-08-17T11:28:08 | null | NONE | null | ### What steps did you take
I deployed Kubeflow 1.3 by using the manifests approach.
I then repaired an issue with dex running on K8s v1.21
### What happened:
The installation succeeded. All processes started up except the two. Both Metadata writer and ml-pipeline crash constantly and are restarted. ML-Pip... | {
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"IIRC, Kubeflow v1.3 enables multi-user isolation by default. @Bobgy, is that right?\r\n\r\nIn that case, `list_experiments()` requires passing a namespace: https://github.com/kubeflow/pipelines/blob/24c551d3fc0b955f48af1206db5c80ec011db3dd/sdk/python/kfp/_client.py#L452-L461",
"@chensun I think that is correct y... | 2021-07-23T06:03:56 | 2021-10-15T04:56:57 | 2021-07-30T14:37:31 | NONE | null | I'm following the example in docs (https://www.kubeflow.org/docs/components/pipelines/sdk/connect-api/) but am getting an error when trying to access the experiments or runs (when trying to list and/or create them)
I've port-forwarded ml-pipeline-ui:
`kubectl port-forward svc/ml-pipeline-ui 3000:80 --namespace ku... | {
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"Is this a duplicate of https://github.com/kubeflow/pipelines/issues/3763?\r\n@liguodongIOT ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"你好,我是李国冬，我已收到你的邮件，我会尽快给您回复。"
] | 2021-07-23T02:49:51 | 2022-03-03T00:05:32 | null | NONE | null | When I use kfp1.5 to deploy to k8s.
I execute run, this pipeline ui has not been able to update the status.
---
And I check that the pod has finished running
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"Taking HTML visualization as an example, the usage on V2 will look like:\r\n\r\n```\r\n@component \r\ndef write_html(html_artifact: Output[HTML]):\r\n html_content = '<!DOCTYPE html><html><body><h1>Hello world</h1></body></html>'\r\n with open(html_artifact.path, 'w') as f:\r\n f.write(html_con... | 2021-07-22T22:50:35 | 2022-05-20T15:16:06 | null | CONTRIBUTOR | null | Using v2 SDK and Vertex Pipelines environment, is it possible to create a reusable component (i.e. manually write a `component.yaml` file) that consumes and/or generates the new Artifact types such as Model, Metrics, Dataset, etc.?
My understanding of these Artifact types is that they are a value/path/reference alon... | {
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"Hello. Thank you for finding this issue.\r\n\r\nDue to bandwidth, we do not currently prioritize issue where the cache is NOT reused. (The issues where the cache is reused incorrectly have high priority though.)\r\n\r\nThis issue is difficult to solve given the architecture of the KFP compiler. Even the file passi... | 2021-07-22T16:53:14 | 2021-07-30T01:03:09 | 2021-07-30T00:53:35 | CONTRIBUTOR | null | ### What steps did you take
Start with a pipeline where a component does not pass its output (outputPath) to a subsequent component.
Add a new pipeline where an additional component passes its output (outputPath) to a subsequent component that takes the output as an input (inputValue).
In this event the subsequ... | {
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"That's strange. Do you have any other code between `client.set_user_namespace('my-namespace')` and `client.get_user_namespace()`?\r\n\r\nIf you look at the code, they just set/read a dictionary entry using the same key. (The dictionary can be dump to or load from a local file).\r\n\r\nhttps://github.com/kubeflow/p... | 2021-07-22T15:15:04 | 2021-07-23T13:40:36 | 2021-07-23T13:40:36 | NONE | null | ### Environment
* KFP version: 1.6.0
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.6.3
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number appears in the left side... | {
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<!-- A clear and concise description of what the bug is.-->
kfp = 1.6.4
I just try to test using my custom component in Vertex AI pipelines.
I use the steps as this [link](https://www.kubeflow.org/docs/components/pipelines/sdk/component-development/) to build my container and upload ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-07-22T13:03:58 | 2023-08-15T17:03:58 | null | CONTRIBUTOR | null | Design: [bit.ly/kfp-v2](https://bit.ly/kfp-v2).
Project: https://github.com/kubeflow/pipelines/projects/9
Tracking by major release milestones:
* [x] KFP 2.0 Alpha
* [x] #8697
* [x] #8698
* [x] #8802
* [x] #8815
* [x] #8818
* [ ] #8858
* v2 API integration
* [x] #8703
* [x] #8706
* [ ] ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6108 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6108/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6108/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6108/events | https://github.com/kubeflow/pipelines/issues/6108 | 950,416,013 | MDU6SXNzdWU5NTA0MTYwMTM= | 6,108 | [feature] Support input artifact value placeholder in v2 compatible mode. | {
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"Sure, I can take this.",
"I'm scheduling to 1.8 release, do you want it earlier?",
"Closing this feature request, as we no longer want to move forward with https://github.com/kubeflow/pipelines/pull/6080."
] | 2021-07-22T08:21:42 | 2021-07-26T22:37:14 | 2021-07-26T22:37:14 | COLLABORATOR | null | Follow up on https://github.com/kubeflow/pipelines/pull/6080
To make legacy data passing work in v2 compatible mode, we need to support `{{{{$.inputs.artifacts['{}'].value}}}}` placeholder in v2 launcher. | {
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"Kubernetes containers running on the usually remote compute nodes are not expected to get access to any local files.\r\n\r\nPlease read the Data-passing tutorial for [command-line programs](https://github.com/Ark-kun/kfp_samples/blob/ae1a5b6/2019-10%20Kubeflow%20summit/106%20-%20Creating%20components%20from%20comm... | 2021-07-22T00:31:47 | 2021-07-23T09:30:33 | 2021-07-23T09:30:33 | NONE | null | ### Environment
* KFP version:
1.6.5
* KFP SDK version:
1.6.0
* All dependencies version:
kfp 1.6.5
kfp-pipeline-spec 0.1.8
kfp-server-api 1.6.0
### Steps to reproduce
Running Kubeflow on a K3s cluster on my machine. I built a simple pyt... | {
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"Hi @Nagarajj, thank you for drafting this detailed proposal!\r\n\r\n> Specified as a container which runs after publisher actions (Python Container rather than Go Binary).\r\n\r\nAre you OK with the perf implication? Because a container will have to be a separate Pod, and the overhead of scheduling & starting a Po... | 2021-07-21T15:53:05 | 2022-03-11T05:57:45 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area components -->
### What feature would you like to see?
IR Spec specifies Lifecycle [Hooks](https://github.com/kubeflow/pipelines/blob/c89ed71cf6339cdcdd957d4dca4b1f... | {
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"Thank you for the report! Let me try to reproduce",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-07-21T15:33:14 | 2022-03-03T00:05:33 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Using KF 1.3 steps
while ! kustomize build example | kubectl apply -f -; do echo "Retrying to apply resources"; sleep 10; done
* KFP version:
Pipeline UI is running gcr.io/ml-pipeline/frontend:1.5.0
### Steps to reproduce
1. Upload pip... | {
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"Facing same issue. Any update on this issue?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"We still face the issue. Can I help in someway to fix the issue?"
] | 2021-07-21T13:50:50 | 2022-10-14T17:35:47 | null | NONE | null | ### What happened:
Im running a pipeline with an exithandler. This setup work well when the pipeline crashes or completes, but on termination the exit handler fails with this error message: `This step is in Failed state with this message: Step exceeded its deadline`
### What did you expect to happen:
I expecte... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6100 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6100/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6100/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6100/events | https://github.com/kubeflow/pipelines/issues/6100 | 949,626,088 | MDU6SXNzdWU5NDk2MjYwODg= | 6,100 | [pH] prepare for kpt v1.0.0-beta.1 | {
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"/assign @zijianjoy ",
"manifests presubmit test is already failing with kpt v1: https://oss-prow.knative.dev/view/gs/oss-prow/pr-logs/pull/kubeflow_pipelines/5926/kubeflow-pipelines-manifests/1417793964035018752",
"```\r\n+ kpt cfg tree /home/prow/go/src/github.com/kubeflow/pipelines/manifests/kustomize/hack/.... | 2021-07-21T11:50:37 | 2022-03-11T05:38:21 | 2022-03-11T05:38:20 | CONTRIBUTOR | null | 349.0.0 (2021-07-20)
Breaking Changes
* **(Kpt)** kpt updated to v1.0.0-beta.1. This version has several
breaking changes from previous versions. Documentation is available at
<https://kpt.dev> and migration instructions can be found at
<https://kpt.dev/installation/migration>. Old ... | {
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"1. I think you can list the endpoint via kubectl `kubectl describe configmap inverse-proxy-config -n kubeflow | grep googleusercontent.com`, you probably need some script to query for all k8s context you have. Reference: https://www.kubeflow.org/docs/components/pipelines/installation/standalone-deployment/#deployi... | 2021-07-21T05:50:24 | 2022-03-03T00:05:24 | null | CONTRIBUTOR | null | Suppose I have several instances of KFP installed from Google Cloud Marketplace.
I also have Google Cloud token with `cloud-platform` scopes. (Similar to the one given by `gcloud auth print-access-token`). I can call any Google Cloud API using that token. But how can I call KFP API?
1) Can I programmatically list t... | {
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"/assign @IronPan @SinaChavoshi ",
"Good find, seems like we are splitting on \"=\" instead of splitting on the first instance of '=' and taking the remaining argument as the input query string. Marking as P0 as directly query is broken with this issue. "
] | 2021-07-20T21:28:35 | 2021-08-12T21:59:54 | 2021-08-12T21:59:54 | NONE | null | ### What steps did you take
Create a simple pipeline that tries to create a tabular dataset from a bigquery table.
```
@dsl.pipeline(
name='train-churn',
pipeline_root='gs://blah/test1'
)
def pipeline(project_id: str, dataset_id: str, table_id: str):
query = dedent(f"""
<query elided>
"... | {
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"/assign",
"You are always more than welcome to make a PR @sfujiwara if you find things like this. ",
"@NikeNano Thanks. I made PR #6098. Could you please review it?"
] | 2021-07-20T15:06:41 | 2021-07-22T07:21:25 | 2021-07-22T07:21:25 | CONTRIBUTOR | null | ### Environment
* KFP version: -
* KFP SDK version: 1.6.5
* All dependencies version:
* kfp-pipeline-spec: 0.1.8
* kfp-server-api: 1.6.0
### Steps to reproduce
The type hint of `create_run_from_job_spec` says `str`, but it actually returns `dict`.
https://github.com/kubeflow/pipelines/blob/74d2... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6091 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6091/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6091/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6091/events | https://github.com/kubeflow/pipelines/issues/6091 | 948,620,611 | MDU6SXNzdWU5NDg2MjA2MTE= | 6,091 | [backend] Sample pipeline (conditional-execution-pipeline) | {
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"@Hmr-ramzi What is the distribution you use to deploy your Kubeflow cluster? https://www.kubeflow.org/docs/started/installing-kubeflow/#install-a-packaged-kubeflow-distribution",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity o... | 2021-07-20T12:49:06 | 2022-03-03T02:05:18 | null | NONE | null | ### What steps did you take
Deloy kubeflow 1.3 using kustomize. Create a kubeflow user. Create a default experiment. Create a run with default example conditional-excution-pipeline
### What happened:
A pod was generated for the pipeline in the user namespace but remaining on state container Creating and failing ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6089 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6089/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6089/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6089/events | https://github.com/kubeflow/pipelines/issues/6089 | 948,138,176 | MDU6SXNzdWU5NDgxMzgxNzY= | 6,089 | [backend] Standalone deployment on GKE version 1.19 with workload identity fails v2 compatible mode due to lack of permissions | {
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"/cc @Bobgy ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-07-20T00:38:40 | 2022-03-03T02:05:24 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
I used option 2 in standalone deployment
* KFP version: Deployed from master branch
* KFP SDK version: 1.6.4
### Steps to reproduce
1. Create a new GKE cluster (version 1.19.9-gke.1900)
a. When creating the cluster, under `Security`... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6087 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6087/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6087/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6087/events | https://github.com/kubeflow/pipelines/issues/6087 | 947,976,371 | MDU6SXNzdWU5NDc5NzYzNzE= | 6,087 | [feature] Add a delete_schedule and update_schedule functions to AIPlatformClient | {
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"cc @sasha-gitg @SinaChavoshi @ji-yaqi ",
"Close this since the client is moved to Vertex SDK. "
] | 2021-07-19T19:55:16 | 2022-02-03T23:06:12 | 2022-02-03T23:06:12 | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
I would like to be able to delete and update existing schedules created via `create_schedule_from_job_spec`.
### What is the use case or pain point?
Pipelines are updated over time, and need to be redeployed. `create_schedule_from_jo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6086 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6086/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6086/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6086/events | https://github.com/kubeflow/pipelines/issues/6086 | 947,973,609 | MDU6SXNzdWU5NDc5NzM2MDk= | 6,086 | [feature] Optionally disable API enablement when calling AIPlatformClient.create_schedule_from_job_spec | {
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"Hi Axel, do you mean to skip checking for permission for APIs, and check those permissions at the time of API usage? ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-07-19T19:50:57 | 2022-03-03T02:05:19 | null | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
I would like to manipulate a flag in the function parameters of `AIPlatform.create_schedule_from_job_spec` in order to disable the logic which automatically tries to enable the necessary APIs. An acceptable alternative would be to expose a f... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6085 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6085/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6085/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6085/events | https://github.com/kubeflow/pipelines/issues/6085 | 947,966,870 | MDU6SXNzdWU5NDc5NjY4NzA= | 6,085 | [feature] Parameter parity in AIPlatformClient functions | {
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"cc @sasha-gitg @SinaChavoshi ",
"Assigning to @chensun for comments/ triage. ",
"This AIPlatformClient would be deprecated soon. Thanks for the FR, we have it in our options to add into Vertex SDK. ",
"@ji-yaqi any updates on this?",
"Hi @axelmagn, we will deprecate AIplatformClient in v2.0.0. Meanwhile, ... | 2021-07-19T19:40:33 | 2022-03-02T10:06:43 | null | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
`AIPlatformClient.create_run_from_job_spec` accepts parameters such as `labels` and `network` that are not accepted by `AIPlatformClient.create_schedule_from_job_spec`. I think that any parameter I can specify in `create_run` should be specifi... | {
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Reference: https://www.webtips.dev/feature-flags-in-react | {
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"On Firefox it is showing another error message:\r\n\r\n<img width=\"1440\" alt=\"Screen Shot 2021-07-17 at 09 09 51\" src=\"https://user-images.githubusercontent.com/1009397/126036414-8e763826-6a7b-4901-8ed2-e712bef5a44d.png\">\r\n"
] | 2021-07-16T15:49:35 | 2021-07-19T03:44:18 | 2021-07-19T03:44:18 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Following the Kubeflow v1.2 documentation for GCP: https://v1-2-branch.kubeflow.org/docs/distributions/gke/
* KFP version: 1.0.4
### Steps to reproduce
- Access the `Experiments` page and click on the `+ Create run` button.
- Select `R... | {
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"Can it be resolved by adding istio injection label to true as https://github.com/kubeflow/manifests/pull/1153?\r\n\r\ncc @Bobgy to confirm the use case.",
"@karlschriek which argo executor supports Istio sudecars?\n\nFrom what I learned from https://argoproj.github.io/argo-workflows/sidecar-injection/. It seems ... | 2021-07-16T12:29:06 | 2021-08-19T13:23:54 | 2021-08-19T13:23:54 | NONE | null | While trying to put together a Kubeflow distribution that includes as many as possible elements inside the Istio mesh, we found that for Kubeflow Pipelines steps the istio sidecar injection is always overriden to "false".
(This would for example make it impossible for a pipelines step to make calls to a KFServing m... | {
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"I think the problem happens in the line\r\n```\r\n for (let tab in SidePanelTab) {\r\n```\r\n\r\nIn typescript, an enum object also contains look up map for the string -> enum conversion, so 'MANIFEST', 'INPUT_OUTPUT', each enum key is also iterated here.",
"That is a good catch, thank you @Bobgy !\r\n\r\nI c... | 2021-07-16T07:09:16 | 2021-07-19T04:57:16 | 2021-07-19T04:57:16 | CONTRIBUTOR | null | /assign @zijianjoy
there is an error message for each enum
```
Unable to find corresponding tab name for ML_METADATA
Unable to find corresponding tab name for POD
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https://api.github.com/repos/kubeflow/pipelines/issues/6063 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6063/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6063/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6063/events | https://github.com/kubeflow/pipelines/issues/6063 | 945,987,899 | MDU6SXNzdWU5NDU5ODc4OTk= | 6,063 | [pH] v2 sample test - enable kaniko caching | {
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this will help improve local testing speed
https://github.com/kubeflow/pipelines/blob/master/v2/test/components/kaniko.yaml | {
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"The package from `pip install google_cloud_pipeline_components` does not include YAML files. But there should be YAML file in the SDK. E.g., https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_components/experimental/gcp_launcher/component.yaml\r\n",
"/assign @SinaChav... | 2021-07-16T00:57:01 | 2021-08-03T17:47:46 | 2021-08-03T17:47:46 | NONE | null | ### Steps to reproduce
Follow the instructions at https://github.com/kubeflow/pipelines/tree/master/components/google-cloud
e.g.,
```
source_root=$(pwd)
git clone https://github.com/kubeflow/pipelines.git
cd pipelines/components/google-cloud
python setup.py bdist_wheel clean
WHEEL_FILE=$(find "$source_roo... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6056 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6056/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6056/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6056/events | https://github.com/kubeflow/pipelines/issues/6056 | 945,708,725 | MDU6SXNzdWU5NDU3MDg3MjU= | 6,056 | [backend] Mounting volume using mount_pvc will mount volume in any condition and will not mount only if I delete the code | {
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"/assign @chensun ",
"For this problem, I think I know the reason. But it comes to the other question, how do I retrieve the pipelineParam value?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contr... | 2021-07-15T20:00:13 | 2022-03-03T02:05:24 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
* KFP version: 1.0.0
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
* KFP SDK version: 1.0.0
### Steps to reproduce
I used the kubeflow python sdk `train.apply(mount_pvc('claim-name', 'pipeline',... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6053 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6053/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6053/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6053/events | https://github.com/kubeflow/pipelines/issues/6053 | 945,284,719 | MDU6SXNzdWU5NDUyODQ3MTk= | 6,053 | [backend] visualization server image size increased from 1.3G to 6.4G | {
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"@zijianjoy Why did you downgrade to TFX 0.26?",
"@vaskozl Sorry for missing to include the context in PR description, I tried to upgrade TFX to the latest. However, the dependency graph doesn't resolve because of the requirement conflict on `grpcio`. We will have to wait for https://github.com/tensorflow/tensorf... | 2021-07-15T11:31:41 | 2021-07-20T18:03:22 | 2021-07-16T03:16:38 | CONTRIBUTOR | null | Look at existing visualization server image sizes: gcr.io/ml-pipeline/visualization-server
Compare that with newly built size: gcr.io/ml-pipeline-test/visualization-server@sha256:fb3768db11f2a0bc6f3a94e7191d32eaa2bdaf53a6ca38d2d03de0f6f47c5ede
I think the change is caused by using tfx image as base: https://github.... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6049 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6049/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6049/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6049/events | https://github.com/kubeflow/pipelines/issues/6049 | 945,076,924 | MDU6SXNzdWU5NDUwNzY5MjQ= | 6,049 | [frontend] Metrics not getting displayed in kubeflow UI after changing the storage to s3 | {
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"This is a current limitation. Welcome contributions!",
"Related code:\r\n* persistence agent calls read artifact API in backend to read metrics artifacts: https://github.com/kubeflow/pipelines/blob/fff62e1521e89dd31c87eec03073b8f8627d73a3/backend/src/agent/persistence/worker/metrics_reporter.go#L149\r\n* read ar... | 2021-07-15T07:15:55 | 2022-03-03T02:05:26 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?https://www.kubeflow.org/docs/distributions/aws/deploy/install-kubeflow/
kubeflow 1.2 on aws
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.... | {
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"Hi @dutingda, you can follow this example for filtering (same feature exists for runs too): https://www.kubeflow.org/docs/components/pipelines/tutorials/sdk-examples/#example-2-listing-pipelines-with-a-filter.\r\n\r\nPlease let us know what's missing from documentation and feature",
"> Hi @dutingda, you can foll... | 2021-07-15T02:34:24 | 2022-03-02T21:05:17 | null | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6033 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6033/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6033/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6033/events | https://github.com/kubeflow/pipelines/issues/6033 | 943,980,123 | MDU6SXNzdWU5NDM5ODAxMjM= | 6,033 | [bug] Pipeline does not retain the logs as an artifact for failed/crash component: Failed to retrieve pod logs | {
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"Hello @jalola , this is related to Argo workflow issue, would you like to create an issue there to resolve this problem? https://github.com/argoproj/argo-workflows",
"Thanks @zijianjoy \r\nThere is an issue related: https://github.com/argoproj/argo-workflows/issues/6201\r\n",
"This issue has been automatically... | 2021-07-14T02:41:17 | 2022-03-03T02:05:21 | null | NONE | null | ### What steps did you take
1. Create a pipeline
2. Make a component with some bug so it will crash later in the pipeline
3. Run the pipeline until the component fail
4. Wait for the pod to be deleted
### What happened:
5. Check the Logs tab of that pod, it shows "Failed to retrieve pod logs."
6. Check the I... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6026 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6026/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6026/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6026/events | https://github.com/kubeflow/pipelines/issues/6026 | 942,882,193 | MDU6SXNzdWU5NDI4ODIxOTM= | 6,026 | [bug] v2 Tutorial pipeline failed at PutParentContexts | {
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"Nevermind, found it:\r\nhttps://github.com/kubeflow/pipelines/blob/ec9021f5b04521d394fb3a95903b86b478bf6550/v2/test/README.md"
] | 2021-07-13T07:13:02 | 2021-07-13T08:59:55 | 2021-07-13T08:59:55 | NONE | null | ### What steps did you take
1. Deploy kubeflow pipelines (using kind) on local cluster according to: https://www.kubeflow.org/docs/components/pipelines/installation/localcluster-deployment/
2. Build a sample pipeline with v2 SDK according to: https://www.kubeflow.org/docs/components/pipelines/sdk/v2/build-pipeline/... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6020 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6020/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6020/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6020/events | https://github.com/kubeflow/pipelines/issues/6020 | 942,204,503 | MDU6SXNzdWU5NDIyMDQ1MDM= | 6,020 | [sdk] Some keys in json used in ParallelFor break compilation | {
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"/assign @chensun",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-07-12T15:54:54 | 2022-03-03T02:05:29 | null | CONTRIBUTOR | null | ### Environment
* KFP SDK version: 1.6.3
* All dependencies version:
* kfp 1.6.3
* kfp-pipeline-spec 0.1.8
* kfp-server-api 1.4.1
### Steps to reproduce
Create a pipeline where `dsl.ParallelFor` either:
* accepts a list literal with the first item being a dictionary with `"name"` key
* accesses i... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6019 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6019/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6019/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6019/events | https://github.com/kubeflow/pipelines/issues/6019 | 942,154,790 | MDU6SXNzdWU5NDIxNTQ3OTA= | 6,019 | [feature] Ability to Specify Kaniko Job Name | {
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"/cc @chensun \r\nI think we welcome contributions if you would like to.",
"@Bobgy If this feature is still needed and no one has worked on it yet, can I pick it up as a first time issue?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further... | 2021-07-12T15:01:07 | 2022-03-02T10:06:27 | null | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
The ability to specify the name of the `kaniko` Job generated by kfp.containers.ContainerBuilder
### What is the use case or pain point?
For internal users of Twitter, we want to track the state of their image building jobs to display i... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6018 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6018/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6018/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6018/events | https://github.com/kubeflow/pipelines/issues/6018 | 942,068,765 | MDU6SXNzdWU5NDIwNjg3NjU= | 6,018 | [feature] Passthrough any supported Kaniko Argument | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-07-12T13:31:56 | 2022-03-03T02:05:28 | null | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
The ability to pass through any Kaniko supported argument to kfp.containers.ContainerBuilder.build to build the Pod spec with.
### What is the use case or pain point?
For internal users of Twitter, we would like the ability for them to s... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6015 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6015/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6015/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6015/events | https://github.com/kubeflow/pipelines/issues/6015 | 941,634,479 | MDU6SXNzdWU5NDE2MzQ0Nzk= | 6,015 | [release] 1.8.0 tracker | {
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"cc @chensun ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"We have completed the last item: switch to Emissary executor by default: https://www.kubeflow.org/docs/components/pip... | 2021-07-12T03:34:20 | 2022-06-04T06:59:59 | 2022-06-04T06:57:00 | CONTRIBUTOR | null | TODOs:
* [x] https://github.com/kubeflow/pipelines/issues/7148
* [x] #6014
* [x] #6987
* [x] change emissary executor to default
* [x] MLMD upgrade to v1.5.0
* [x] Argo upgrade to v3.2.3 | {
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"I think we need to plan this for the next release.",
"Hi KFP team, my team uses GKE and we got an email from GCP today: \"[Action Required] Prepare for GKE 1.22 Open source upstream beta API Removal\". The email includes:\r\n\r\n> As of Kubernetes 1.22, API clients will no longer be able to use previously deprec... | 2021-07-12T03:31:51 | 2022-01-08T21:55:21 | 2022-01-08T21:55:21 | CONTRIBUTOR | null | Deprecated APIs in k8s 1.22: https://kubernetes.io/docs/reference/using-api/deprecation-guide/#v1-22
TODOs:
* [x] move CRDs to v1 version: https://github.com/kubeflow/pipelines/search?q=apiextensions.k8s.io%2Fv1beta1&type= #6679
* [x] move cluster role and cluster role binding to v1 version, got warning message:
... | {
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] | 2021-07-11T03:44:06 | 2022-03-03T02:05:34 | null | CONTRIBUTOR | null | ## Problem
When developing KFP, we have ad hoc scripts for building images and deploying them to the cluster. It's painful to maintain all the scripts, document & educate people to use them.
Besides that, we lack a way to deploy from head with one single command, which is often useful for testing.
## Proposal
... | {
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"Does your cache work other than cases of recurring run ?\r\n\r\nI have seen this issue occurring in the past. Where in cache did not work at all. Try restarting the deployment called `cache-server`.\r\n\r\n```\r\nkubectl rollout restart deploy/cache-server\r\n```",
"> Does your cache work other than cases of rec... | 2021-07-09T08:31:22 | 2022-03-03T00:05:30 | null | NONE | null | ### What steps did you take
- Create a pipeline with two steps and data passing
- Compile it
- Create a recurring run via KFP UI and schedule a periodic run every minutes/hours/days (doesn't change anything)
### What happened:
- Second run does not use cache from the first run
### What did you expect to hap... | {
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"@munagekar Welcome contributing to create a RecurringRun CRD for this feature!",
"/assign\r\nI will take a look at this. ",
"To get some more background, what is the difference that you expect from this `CRD` compare to the [scheduledworkflow](https://github.com/kubeflow/pipelines/tree/master/backend/src/crd#r... | 2021-07-09T05:19:47 | 2023-08-10T01:43:29 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
/area backend
### What feature would you like to see?
A CRD for recurring run. To make it possible to delete recurring runs with kubectl. Currently it is possible to delete and create recurring runs only with sdk or kub... | {
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"Hello @harshsaini , for now you can create two components, one for launching the Katib jobs, another for waiting for this external job to finish. \r\n\r\nFor the performance issue, we need to implement a control plane concept to introduce a watcher for external job completion. This is currently blocked for the int... | 2021-07-08T17:28:11 | 2022-03-03T02:05:35 | null | NONE | null | ### Feature Area
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/area backend
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<!-- /area components -->
### What feature would you like to see?
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"Closing as v2 compatible mode is no longer supported."
] | 2021-07-07T14:55:52 | 2023-01-18T08:21:49 | 2023-01-18T08:21:48 | CONTRIBUTOR | null | Samples:
* [ ] Consume artifact by URI sample (use tfjob etc)
* [ ] Support for components that can produce/consume MLMD metadata
* [ ] Visualize v2 metrics -- components can output metrics artifacts that are rendered in UI. [Sample pipeline](https://github.com/kubeflow/pipelines/blob/307e91aaae5e9c71dde1fddaffa10ff... | {
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] | 2021-07-07T02:18:41 | 2021-07-15T14:16:24 | 2021-07-15T14:16:24 | CONTRIBUTOR | null | These fields are already present in pipeline/pipeline run contexts (size/XS) | {
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"There are several possible solutions to this.\r\n\r\nFirst thing to understand is how the `create_component_from_func` function works. This function realizes the \"Lightweight python components\" feature.\r\nAll KFP components are `ComponentSpec` files (`component.yaml`). Many people write them manually and that's... | 2021-07-07T00:16:22 | 2022-03-02T15:05:16 | null | NONE | null | I have a deployment like the following:
```
root_dir
├── root.py
├── same.yaml
├── same_step_0.py
├── same_step_1.py
├── same_step_2.py
└── utils
├── __init__.py
├── file_one.py
└── file_two.py
```
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"The typing hints using `typing` did not work, which is fixed in the PR here.\r\nhttps://github.com/kubeflow/pipelines/pull/5979",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 2021-07-06T10:02:21 | 2022-03-03T03:04:41 | null | CONTRIBUTOR | null | ### What steps did you take
```python
from typing import Dict, List
@component
def get_parallel_offsets(
rows_count: int,
parallel_num: int,
) -> List[Dict[str, int]]:
"""
Get the offset of each parallel (from the number of rows and the number of parallels in the table.)
Parame... | {
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"Discussed with @zijianjoy offline,\r\nCurrently with v2 compatible mode, \r\n\r\n- cached status icon\r\n- a link to cached execution\r\nThe above tasks can be achieved now.\r\n\r\nFor the following tasks, currently we can't fetch original execution with current logic in launcher.\r\nWe may need to store the orig... | 2021-07-06T03:05:46 | 2021-09-17T06:22:36 | 2021-09-14T16:49:32 | CONTRIBUTOR | null | For cached tasks, the following are helpful on UI:
- [x] * cached status icon
- [x] * a link to cached execution
- [x] * (p1) a link to original execution this cache is taken from
- [x] * (p2) the original execution should have a link to the original run (deleting the original run will invalidate cache)
- [x] *... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-07-02T23:13:19 | 2022-03-03T04:05:13 | 2022-03-03T04:05:13 | COLLABORATOR | null | The new decorator is meant for v2 and v2_compatible mode only. We should throw an explicit error if users use this decorator but compile in v1 mode. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5965 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5965/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5965/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5965/events | https://github.com/kubeflow/pipelines/issues/5965 | 936,066,531 | MDU6SXNzdWU5MzYwNjY1MzE= | 5,965 | [bug] Post submit integration tests failing - argoproj/argo repo not found | {
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"This should be fixed by [kubeflow/pipelines #5966](https://github.com/kubeflow/pipelines/pull/5966). I added [kubeflow/pipelines #5969](https://github.com/kubeflow/pipelines/pull/5969) to clean up other instances of **argoproj/argo**\r\n\r\n"
] | 2021-07-02T21:06:02 | 2021-07-09T00:48:18 | 2021-07-09T00:48:18 | MEMBER | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
### What happened:
The following error occurs while building the Dockerfile at `test/sample-test/Dockerfile`:
```
gzip: argo-linux-amd64.gz: not in gzip format
The command '/bin/sh -c curl -sLO https://github.com/argop... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5962 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5962/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5962/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5962/events | https://github.com/kubeflow/pipelines/issues/5962 | 935,199,277 | MDU6SXNzdWU5MzUxOTkyNzc= | 5,962 | [backend] Failed to retry run: Workflow cannot be retried with node in Omitted phase | {
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"As https://github.com/kubeflow/pipelines/issues/5878#issuecomment-863651456 mentioned, you need to wait for next KFP release 1.7.0. ",
"I think we can close now",
"> As [#5878 (comment)](https://github.com/kubeflow/pipelines/issues/5878#issuecomment-863651456) mentioned, you need to wait for next KFP release 1... | 2021-07-01T20:42:08 | 2021-07-06T14:57:34 | 2021-07-05T06:32:27 | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipeline Standalone via kustomize manifests on GKE
* KFP version:
1.6.0
* KFP SDK version:
```
kfp 1.6.3
kfp-pipeline-spec 0.1.8
kfp-server-api 1.6.0
```
### Steps to repr... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5955 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5955/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5955/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5955/events | https://github.com/kubeflow/pipelines/issues/5955 | 933,914,995 | MDU6SXNzdWU5MzM5MTQ5OTU= | 5,955 | Wait Container is Stuck and so is the Argo Workflow Controller for Large datasets only. | {
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"We are using argo version 2.x. The latest argo version is 3.x\r\nCan you also create a issue in argo side so that argo side can confirm whether this is a argo issue that could also happen in version 3.x or it is a argo issue that only happens before version 3.x?",
"@capri-xiyue. Thanks for the quick reply. I cha... | 2021-06-30T17:00:50 | 2022-03-03T02:05:31 | null | NONE | null | ### What steps did you take
I have a machine learning pipeline that runs several machine learning algorithms in parallel as components (pods in kubernetes)
When I run the pipeline on relatively small datasets (200,000 rows), the pipeline takes some time but finishes executing (3+ hours) with all components finishe... | {
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"@Bobgy is there any reason for not having \"v\" as a prefix atm? ",
"It was the convention from the start when we didn't consider this use-case, but I think you raised a good point for adding \"v\" prefix.\r\n\r\nWelcome some discussion on what's the best way forward, do we create two tags for each release in a ... | 2021-06-30T14:53:57 | 2022-03-11T21:28:18 | null | NONE | null | When trying to use the go client in github.com/kubeflow/pipelines/backend/api/go_client, I find that `go mod` can't fetch the corresponding tags in this github repo, because all tags defined are missing the 'v' prefix and are considered non-canonical tag formats.
E.g., tag '1.5.1' should be 'v1.5.1'. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5951 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5951/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5951/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5951/events | https://github.com/kubeflow/pipelines/issues/5951 | 933,360,961 | MDU6SXNzdWU5MzMzNjA5NjE= | 5,951 | [bug] Using set_gpu_limit with bad resource manage | {
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"Can you help provide your definition of pipeline? ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity... | 2021-06-30T06:44:21 | 2022-03-03T04:05:10 | 2022-03-03T04:05:10 | NONE | null | ### What steps did you take
Add set_gpu_limit(1) to my pipeline, then create run. But I can only create 2 runs.
In fact, my k8s have 4 nodes, and each node has 4 gpu, like that:
### What happened... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5948 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5948/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5948/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5948/events | https://github.com/kubeflow/pipelines/issues/5948 | 933,251,885 | MDU6SXNzdWU5MzMyNTE4ODU= | 5,948 | [bug] <run Tutorial failed> | {
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"new info: could not chroot into main for artifact collection",
"1. Can you help uploading the screenshot of error msg again?(You didn't upload it successfully)\r\n2. Which KFP version are you using?\r\n3. Which storage(minio, aws or gcp XXX)provider do you choose for artifact storage?",
"Hello @hellobiek , I ... | 2021-06-30T02:39:34 | 2021-11-10T03:34:00 | 2021-07-03T18:14:25 | NONE | null | when I run this tutiol：Run of [Tutorial] Data passing in python components
I met the error msg as follows: This step is in Error state with this message: failed to save outputs: key unsupported: cannot get key for artifact location, because it is invalid
![Uploading 截屏2021-06-30 上午10.38.40.png…]()
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https://api.github.com/repos/kubeflow/pipelines/issues/5944 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5944/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5944/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5944/events | https://github.com/kubeflow/pipelines/issues/5944 | 932,759,134 | MDU6SXNzdWU5MzI3NTkxMzQ= | 5,944 | [frontend] incorrect DAG with argo v3.1.0 | {
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"/assign @zijianjoy ",
"A quick walkthrough of the workflow changes in https://github.com/argoproj/argo-workflows/blame/v3.1.0/ui/src/models/workflows.ts:\r\n\r\nThere are 3 areas which have changed since 2.12.9:\r\n\r\n1. `ContainerNode` interface: https://github.com/argoproj/argo-workflows/blame/v3.1.0/ui/src/m... | 2021-06-29T14:32:05 | 2021-07-03T12:52:49 | 2021-07-03T12:52:49 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
kfp standalone
* KFP version: 1.7.0-alpha.1
<!-- Specify the version of Kubeflow Pipelines that you are usin... | {
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"Downgraded to KFP 1.6.0 and verified the same problems, they seem to be related to my GKE cluster than argo/kfp.",
"I'm seeing this again on test infra:\r\nhttps://4e18c21c9d33d20f-dot-datalab-vm-staging.googleusercontent.com/#/runs/details/d249c419-a9a7-4653-8212-856f87ad1e91\r\nhttps://4e18c21c9d33d20f-dot-dat... | 2021-06-29T11:33:27 | 2021-08-04T13:55:42 | 2021-08-04T13:55:42 | CONTRIBUTOR | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
pipelines flaky after upgrading to argo v3.1.0, when using argo docker executor
1. install kfp 1.7.0-alpha.1
2. run v2 sample tests in the local cluster
### What happened:
Some pipelines fail randomly with several type... | {
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"Some mistakes I see often:\r\n* `feat(scope) title` (miss `:`)\r\n* `feat(scope):title` (miss space after `:`)\r\n* `feat (scope): title` (extra space between feat and (scope))\r\n\r\nthey can be identified by the bot that checks PR title as semantic format."
] | 2021-06-29T10:38:58 | 2021-06-30T07:02:36 | 2021-06-30T07:02:36 | CONTRIBUTOR | null | I just learned that https://github.com/zeke/semantic-pull-requests can check PR title format.
It looks convenient to set up.
This issue is the last item of https://github.com/kubeflow/pipelines/issues/3920#issuecomment-645280671 | {
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"I made a mistake, the change was that argo upgraded to CRD version v1.\r\nBut argo CRDs are still of version v1alpha1."
] | 2021-06-29T09:03:05 | 2021-06-29T11:08:01 | 2021-06-29T11:08:01 | CONTRIBUTOR | null | After upgrading to argo workflows v3.1.0, the workflow CRD has upgraded to v1.
We should upgrade our backend API usages and SDK compilation targets to v1. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5940 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5940/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5940/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5940/events | https://github.com/kubeflow/pipelines/issues/5940 | 932,382,227 | MDU6SXNzdWU5MzIzODIyMjc= | 5,940 | [test infra] api server has frequent "Failed to update run" error logs | {
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"There is no visible problems in test infra, but reducing noisy error message is still vastly better when trying to debug and find the actual error message.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for y... | 2021-06-29T08:51:16 | 2022-03-02T15:05:32 | null | CONTRIBUTOR | null | > /go/src/github.com/kubeflow/pipelines/backend/src/apiserver/interceptor.go:30
github.com/kubeflow/pipelines/backend/api/go_client._ReportService_ReportWorkflow_Handler
InternalServerError: Failed to update run a7a0c80b-e863-45de-ad4b-a8320c64b425. Row not found
Not sure why this happens, need to confirm whether ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5937 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5937/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5937/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5937/events | https://github.com/kubeflow/pipelines/issues/5937 | 932,142,684 | MDU6SXNzdWU5MzIxNDI2ODQ= | 5,937 | [bug] condition sample stuck in running state with argo v3.1.0 | {
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"I tried to delete cache db and run the condition pipeline again without cache, but it is stuck in running state again.\r\n\r\n\r\nConclusion: we can rule out caching from possible reasons for this.",
"``... | 2021-06-29T02:21:49 | 2021-07-03T12:52:49 | 2021-07-03T12:52:49 | CONTRIBUTOR | null | ### What steps did you take
1. run v2 sample test
### What happened:
1. it times out waiting for condition sample to finish
2. the sample runs and gets cached as usual
3. but the workflow itself is... | {
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"Just wanna clarify, can you use `kfp client` to do the authentication? What's the use case of using `kfp_server_api` instead of kfp client?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributi... | 2021-06-28T19:49:00 | 2022-03-03T03:05:39 | 2022-03-03T03:05:39 | MEMBER | null | ### Feature Area
/area sdk
### What feature would you like to see?
A function to get auth token for configuring `kfp_server_api` api_client. I currently didn't find any function in the `kfp_server_api` class similar to the `kfp` Client class for authorization, but it turns out that retrieving the bearer token ... | {
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"Consider the possibility of adding yaml sample for visualization. ",
"https://github.com/kubeflow/pipelines/pull/5947#issuecomment-871704880"
] | 2021-06-28T16:44:14 | 2021-07-19T21:33:30 | 2021-07-19T18:32:15 | COLLABORATOR | null | Visualization doc:
https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/#available-output-viewers
Create pipeline examples with sample data in v1 format, so we can test them after the following issues are unblocked:
- https://github.com/kubeflow/pipelines/issues/5831
- https://github.com/kubeflo... | {
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"@amalendur: The label(s) `kind/bug.` cannot be applied, because the repository doesn't have them.\n\n<details>\n\nIn response to [this](https://github.com/kubeflow/pipelines/issues/5931):\n\n>/kind bug.\r\n>\r\n>### What steps did you take\r\n>I have deployed a EKS cluster and on top of that cluster I am trying to... | 2021-06-28T15:14:45 | 2021-06-29T08:13:01 | 2021-06-29T08:13:01 | NONE | null | /kind bug.
### What steps did you take
I have deployed a EKS cluster and on top of that cluster I am trying to deploy "Kubeflow" through GitLab pipeline.
In the pipeline script I have set the Kube-context before execute the Kubeflow config-file(kfctl_aws.v1.2.0.yaml).
I have executed the steps in the following or... | {
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"/assign @zijianjoy ",
"Pasting an example full argo workflow:\r\n\r\n```yaml\r\napiVersion: argoproj.io/v1alpha1\r\nkind: Workflow\r\nmetadata:\r\n annotations:\r\n pipelines.kubeflow.org/kfp_sdk_version: 1.6.4\r\n pipelines.kubeflow.org/pipeline_compilation_time: 2021-06-29T11:08:44.423700\r\n pipelin... | 2021-06-28T13:37:29 | 2021-07-15T08:44:51 | 2021-07-15T08:44:51 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
kfp standalone
* KFP version: 1.7.0-alpha.1
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"Will create under bug."
] | 2021-06-28T13:26:14 | 2021-06-28T15:05:32 | 2021-06-28T15:05:13 | NONE | null | /kind bug.
I have deployed a EKS cluster and on top of that cluster I am trying to deploy "Kubeflow" through GitLab pipeline.
In the pipeline script I have set the Kube-context before execute the Kubeflow config-file(kfctl_aws.v1.2.0.yaml).
I have executed the steps in the following order;
1. Deploy EKS cluster w... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5925 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5925/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5925/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5925/events | https://github.com/kubeflow/pipelines/issues/5925 | 931,326,837 | MDU6SXNzdWU5MzEzMjY4Mzc= | 5,925 | [feature] Multi-User Pipeline Definition Isolation | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Same problem here, we followed the [manifests](https://github.com/kubeflow/manifests#kubeflow-pipelines) and deployed pipeline with mul... | 2021-06-28T08:45:54 | 2023-02-20T15:51:01 | null | NONE | null | Hey guys,
According to the [official documentation](https://www.kubeflow.org/docs/components/pipelines/multi-user/#current-limitations), Pipeline definitions are not isolated currently.
**What feature would you like to see?**
I would like to see Pipeline isolation similar to what we have in Notebooks/Runs/Experi... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5924 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5924/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5924/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5924/events | https://github.com/kubeflow/pipelines/issues/5924 | 931,044,084 | MDU6SXNzdWU5MzEwNDQwODQ= | 5,924 | [backend] cache-server cannot mount webhook-tls-certs | {
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"Not solving the issue, but failed to reproduce with minikube:\r\n\r\n```\r\ndocker system prune --all \r\nminikube start --cpus 6 --memory 12288 --disk-size=120g --extra-config=apiserver.service-account-issuer=api --extra-config=apiserver.service-account-signing-key-file=/var/lib/minikube/certs/apiserver.key --ext... | 2021-06-27T23:35:18 | 2022-03-03T00:05:11 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
[Deployed locally on a kind cluster](https://www.kubeflow.org/docs/components/pipelines/installation/localcluster-deployment/#uninstalling-kubeflow-pipelines)
kind version: `kind v0.9.0 go1.15.2 linux/amd64`
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically closed because it has not had recent activity. Please comment \"/reopen\" to reopen it.\n"
] | 2021-06-26T08:21:36 | 2022-03-03T04:05:11 | 2022-03-03T04:05:11 | NONE | null | ### Environment
* KFP version:
1.4.1
* KFP SDK version:
1.4.0
* All dependencies version:
kfp 1.4.0
kfp-pipeline-spec 0.1.8
kfp-server-api 1.6.0
### Steps to reproduce
1. Write a sample pipeline containing a component that fails on purpose and an exit handler.... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5920 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5920/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5920/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5920/events | https://github.com/kubeflow/pipelines/issues/5920 | 930,631,422 | MDU6SXNzdWU5MzA2MzE0MjI= | 5,920 | Enable sorting by status in the UI | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"/lifecycle frozen",
"We can use `filter` to obtain runs by specifying states: https://github.com/kubeflow/pipelines/blob/master/backe... | 2021-06-26T06:52:17 | 2021-10-12T14:40:19 | null | MEMBER | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
More of a productivity improvement. 🚀
/area frontend
### What feature would you like to see?
Enable sorting by status for runs under the Experiment and Runs section of UI which would filter all Running pipelines to the ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5917 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5917/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5917/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5917/events | https://github.com/kubeflow/pipelines/issues/5917 | 929,799,663 | MDU6SXNzdWU5Mjk3OTk2NjM= | 5,917 | Pass pandas dataframe from one component to other without writing and reading | {
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"I think argo does not support panda frame. As a workaround, can the user store panda dataframe in an artifact? @Bobgy Can you confirm?",
"Thanks @capri-xiyue for the heads up!\n\nIIUC, @motilalmeher is already writing the data to a storage as an artifact.\n\nFor clarification, the major reason data have to be i... | 2021-06-25T03:44:07 | 2022-03-03T04:05:12 | 2022-03-03T04:05:12 | NONE | null | I am currently working with a large dataset and in my pipeline there are many component. I want to make the process fast. Currently I am passing the data from one component to ther by storing it some storage and passing the path so that I can read the data from other component. Is there any way to pass the Pandas dataf... | {
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"/assign @sasha-gitg @SinaChavoshi ",
"I managed to work around this by using python 3.9.6. No idea why that would affect this but it appears to help.",
"This issue was fixed by https://github.com/googleapis/python-aiplatform/pull/494 "
] | 2021-06-24T15:13:30 | 2021-08-03T17:52:59 | 2021-08-03T17:52:59 | NONE | null | When I try to import `aiplatform` from `google_cloud_pipeline_components`, I get a `TypeError`, and the import fails.
### What steps did you take
To reproduce the issue:
1. Create a new virtual environment (Python version 3.6.9):
`python3 -m virtualenv gcp_aip`
2. Activate the environment:
`source gcp_aip... | {
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"Hi @raghavendramanandi, parameters are by design public.\r\nYou should use secret solutions for this, e.g. Kubernetes secret.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This... | 2021-06-24T09:44:54 | 2022-03-03T03:05:32 | 2022-03-03T03:05:32 | NONE | null | While running the pipeline, we can specify parameters. Is there a way to mask or show **** for those parameter values. Just like how a password field would look like. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5912 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5912/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5912/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5912/events | https://github.com/kubeflow/pipelines/issues/5912 | 928,824,724 | MDU6SXNzdWU5Mjg4MjQ3MjQ= | 5,912 | [sdk compiler] Compile is successed, but VertexPipelines validation is failed | {
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"```\r\n \"pipelineInfo\": {\r\n \"name\": \"test\"\r\n },\r\n \"root\": {\r\n \"dag\": {\r\n \"tasks\": {\r\n \"for-loop-1\": {\r\n \"componentRef\": {\r\n \"name\": \"comp-for-loop-1\"\r\n },\r\n \"dependentTasks\": [\r\n ... | 2021-06-24T04:03:35 | 2022-03-03T02:05:37 | null | CONTRIBUTOR | null | ### Environment
* KFP version: GCP VertexAi Pipelines
* KFP SDK version: build sdk on master branch
### Steps to reproduce
When I try to loop through the following python function to get the output, the validation of Vertex Pipelines fails.
```python
import kfp.components as comp
from kfp.v2.dsl import c... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5910 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5910/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5910/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5910/events | https://github.com/kubeflow/pipelines/issues/5910 | 928,247,917 | MDU6SXNzdWU5MjgyNDc5MTc= | 5,910 | add if __name__ == "__main__" guard for sdk to support multi-processing in components | {
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"/assign @chensun ",
"Can you please describe your scenario?\r\nThe command-line code generated by `create_component_from_func` is only intended to be run as a program.\r\n\r\nAm I understanding you correctly - multiprocessing cannot be used inside python lightweight component since it needs to be able to import ... | 2021-06-23T13:16:26 | 2022-03-03T02:05:24 | null | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
Add an `if __name__ == "__main__"` guard before calling function wrapped by "create_component_from_func"
### What is the use case or pain point?
An if __main__ guard is needed for python multiprocessing code to run properly.
### Is t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5907 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5907/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5907/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5907/events | https://github.com/kubeflow/pipelines/issues/5907 | 927,856,678 | MDU6SXNzdWU5Mjc4NTY2Nzg= | 5,907 | [sdk] Error from kfp Client | {
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"Hi @shalankig . Could you share your code to help us debug even further? From the above log, I think you are referring to a kfp experiment that doesn't exist or you might have missed to pass the namespace.",
"Hi @shalankig, did you specify namespace for your call? In KFP multi-user mode, namespace is required fo... | 2021-06-23T04:53:27 | 2022-03-03T03:05:33 | 2022-03-03T03:05:33 | NONE | null | I have successfully deployed Kubeflow on a private GKE Cluster using https://github.com/kubeflow/manifests#install-with-a-single-command
GKE Version: 1.17.17-gke.9100
Kubeflow Version: 1.3
Workload Identity Enabled: Yes
Kfp Version: 1.5.0
Error while creating a kubeflow pipeline:
`Traceback (most recent call ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5906 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5906/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5906/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5906/events | https://github.com/kubeflow/pipelines/issues/5906 | 927,849,409 | MDU6SXNzdWU5Mjc4NDk0MDk= | 5,906 | [bug] Deployed Kubeflow with OIDC Authentication but pipeline runs as single-mode user | {
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"/cc @aronchick \r\nwho should be the best contact for Azure distribution?",
"I am also interested in this issue as I am also in the same boat, but installed on AWS. I don't think this issue has anything to do with Azure specifically. The best that I can find from the documentation about this \"single-user mode\"... | 2021-06-23T04:35:00 | 2022-03-03T00:05:10 | null | NONE | null | ### What steps did you take
I deployed Kubeflow to Azure Kubernetes Service (AKS) with OIDC Authentication as described in the [documentation](https://www.kubeflow.org/docs/distributions/azure/authentication-oidc).
I instantiated a `kfp.Client()` like so:
```python
kubeflow_client = TektonClient(
host=f'{KU... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/5904 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/5904/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/5904/comments | https://api.github.com/repos/kubeflow/pipelines/issues/5904/events | https://github.com/kubeflow/pipelines/issues/5904 | 927,167,937 | MDU6SXNzdWU5MjcxNjc5Mzc= | 5,904 | [feature] Dataflow flex template component | {
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"After creating the issue and attempting to open a PR to fix it I saw someone else already added this feature."
] | 2021-06-22T12:14:37 | 2021-06-22T12:22:23 | 2021-06-22T12:22:23 | NONE | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
/area components
### What feature would you like to see?
In addition to launching Dataflow jobs from Python and classic templa... | {
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