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https://api.github.com/repos/kubeflow/pipelines/issues/6750 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6750/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6750/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6750/events | https://github.com/kubeflow/pipelines/issues/6750 | 1,028,353,599 | I_kwDOB-71UM49S24_ | 6,750 | [bug] Pipeline UI couldn't load mlpipline-ui-metadata (v1) with Minio gateway in Multi-user install on GCP | {
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"If you are using V2 compatible mode, can you trying using the new approach to visualize your metrics instead of using `mlpipeline-ui-metadata`? https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/#v2-sdk-use-sdk-visualization-apis",
"1. No , I don't use __V2 compatible mode__ ; it still misses s... | 2021-10-17T15:12:42 | 2022-03-11T06:21:22 | 2022-03-11T06:21:22 | NONE | null | ### What steps did you take
I ran a simple 1 step pipeline, which aimed to display a webpage in visualization UI (the Output).
### What happened:
In a KF cluster with MinIO gateway (GCS is the actual storage), Multi-users install (on GCP), the Visualization UI couldn't display the webpage.
[Screenshot](https://... | {
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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"
] | 2021-10-15T11:39:26 | 2022-03-02T15:05:26 | null | NONE | null | ### Feature Area
/area sdk
### What feature would you like to see?
I would like to see the feature described in https://github.com/kubeflow/pipelines/issues/2372
let me copy/paste my comments from there.
### What is the use case or pain point?
I would be happy to have the same functionality. I've even tested tha... | {
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"I am facing the same issue. It seems that is missing _init_.py in experimental/hyperparameter_tuning_job with something like that:\r\n```\r\nfrom .component import serialize_parameters\r\nfrom .component import HyperparameterTuningJobRunOp\r\n```\r\n\r\nin the file \"hyperparameter_tuning_job/component.py\"\r\n\"... | 2021-10-14T17:48:53 | 2021-12-09T08:25:34 | 2021-12-09T08:25:34 | CONTRIBUTOR | null | with this component (using the most recent pypi release of `google_cloud_pipeline_components`):
https://github.com/kubeflow/pipelines/tree/master/components/google-cloud/google_cloud_pipeline_components/experimental/hyperparameter_tuning_job
while this imports without probs:
`from google_cloud_pipeline_component... | {
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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"
] | 2021-10-14T09:42:57 | 2022-03-02T15:05:36 | 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?
using function based python components I would like to be able to define the artefact registry that is used to in... | {
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] | 2021-10-14T03:32:36 | 2022-03-02T15:05:34 | null | MEMBER | null | ### Feature Area
/area sdk
### What feature would you like to see?
Provides option to install python packages in the target image of component.
For example:
```
@dsl.component(target_image="a_component:0.0.1",
packages_to_install=["kfp"],
install_packages_in_image=True)
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"Close this issue.\r\n\r\nIt turns out I did not put env into system properly"
] | 2021-10-14T00:28:15 | 2021-10-14T00:37:11 | 2021-10-14T00:37:11 | NONE | null | Hi Team,
Thanks for checking this thread despite there are already so many opening issues.
I have search internet and I haven't found duplicated issues.
I was following the instruction [here](https://www.kubeflow.org/docs/distributions/gke/deploy/management-setup/) to deploy a management cluster.
I followed t... | {
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"Would you like to check `proxy-agent` Deployment and its log? From the error in the description, there is still connecting from UI to proxy agent.\r\n\r\nCan you also check all your Deployments in the GKE cluster - workload and make sure all Pods are available?",
"`proxy-agent` is okay. However, there are a few ... | 2021-10-13T21:52:41 | 2023-04-07T18:17:27 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
- Created a custom Kubernetes cluster
- Created the pipeline through [AI Platform Pipelines](https://console.cloud.google.com/ai-platform/pipelines/clusters)
* KFP version: 1.7.0
### Steps to reproduce
- This error is received when opening... | {
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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"
] | 2021-10-13T18:27:27 | 2022-03-11T06:26:01 | null | COLLABORATOR | null | # Argo
In KFPv1, we are able to get `StartedAt` and `FinishedAt` from each `node` in argoworkflow.
# MLMD
In KFPv2, we don't have such properties filled with this information in MLMD e... | {
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"Hello @feizerl , I am assuming you are using V2 caching mechansim: https://www.kubeflow.org/docs/components/pipelines/caching-v2/.\r\n\r\nNote that V2 caching is different from V1 caching. V1 Caching has a Cache server, but V2 doesn't expose such endpoint. \r\n\r\nAre you using V1 pipeline, or V2-compatible pipeli... | 2021-10-13T14:38:30 | 2022-03-02T15:05:33 | null | CONTRIBUTOR | null | Hello,
In the current setup, whenever a cache server is not able to find a corresponding key, it generate the following lines in the logs:
```
2021/10/13 14:36:49 the server could not find the requested resource
2021/10/13 14:36:49 ...
2021/10/13 14:36:49 Input cache: ac8e44042f652b336247b7355e388d68246491b6e9... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6727 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6727/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6727/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6727/events | https://github.com/kubeflow/pipelines/issues/6727 | 1,025,313,185 | I_kwDOB-71UM49HQmh | 6,727 | Ability to generate cache key locally by end user | {
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"Also, it would be great if I can generate this in python directly. ",
"Hello @feizerl ,\r\n\r\nWhat is the usecase for cache key before starting a run? How do you use this key if you get it?\r\n\r\n@capri-xiyue ",
"Hi @zijianjoy \r\n\r\nWe have a complicated pipeline involving more than 20 steps, and I am curr... | 2021-10-13T14:19:08 | 2022-03-02T15:05:30 | null | CONTRIBUTOR | null | Hello,
One of the features of pipelines is Step Caching (https://www.kubeflow.org/docs/components/pipelines/caching/) to avoid running the costly computations again and again.
The key for caching is:
```
message CacheKey {
map<string, ArtifactNameList> inputArtifactNames = 1;
map<string, Value> inputPar... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6726 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6726/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6726/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6726/events | https://github.com/kubeflow/pipelines/issues/6726 | 1,025,166,048 | I_kwDOB-71UM49Gsrg | 6,726 | client.list_experiments() not working as well as creating runs, authentication failing | {
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"Hello @rexad , what is the platform you use to deploy Kubeflow? The Kubeflow Pipelines endpoint require an identity to be provided in request header when being called.",
"@zijianjoy thanks for the reply, \r\nmakes sense but im calling from the notebook the same cluster, how can i pass this identity? ",
"should... | 2021-10-13T12:08:35 | 2023-07-28T11:01:18 | 2021-10-27T17:35:14 | NONE | null | ### What steps did you take
We deployed kubeflow on premise using kustomize file https://github.com/kubeflow/manifests/tree/v1.3.1, v 1.3.1
Created a notebook, tried to create a run from it using kfp
<!-- A clear and concise description of what the bug is.-->
I can't connect from the notebook to pipelines (to cre... | {
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"cc @chensun ",
"@pretidav Could you share the code to reproduce?\r\n",
"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 the same problem.\r\n\r\nDo you have any ides how t... | 2021-10-12T08:39:50 | 2022-05-13T16:44:28 | null | NONE | null | ### What steps did you take
from kfp.v2 import dsl
from kfp import dsl as v1dsl
Using v2 compatible pipeline, using a combination of
with v1dsl.SubGraph(parallelism=1):
with dsl.ParallelFor(generate_task.output) as item:
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"Tried to pass `metadata_store_server_config_file` command line flag to `/bin/metadata_store_server` in text protobuf format, but observed a similar error: \r\n```\r\n - args:\r\n - --grpc_port=8080\r\n - --enable_database_upgrade=true\r\n ... | 2021-10-10T21:59:42 | 2023-07-27T06:17:15 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow Pipelines Standalone
* KFP version:
1.7.0-alpha.1
* KFP SDK version:
1.6.2
### Steps to reproduce
1. Enable SSL on external MySQL configuration (Azure MySQL Server)
2. Restart metadata-grpc-deployment pod
3. Observe error:... | {
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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",
"I believe all these features are done. Let me know if my memory is incorrect. @jlyaoyuli ",
"Question: Is `Terminate Run` feature alr... | 2021-10-10T21:42:44 | 2023-03-17T23:05:38 | 2023-03-17T23:05:38 | COLLABORATOR | null | null | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6705 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6705/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6705/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6705/events | https://github.com/kubeflow/pipelines/issues/6705 | 1,021,425,748 | I_kwDOB-71UM484bhU | 6,705 | kfp local runner not working with dsl conditionals | {
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"@etsyamitra, maybe you should reference the output of op, e.g:\r\n```\r\nwith dsl.Condition(\r\n execution_context.output == \"evaluation\", name=\"eval-task\"\r\n)\r\n```\r\nAlso, you can check the unit test about condition in https://github.com/kubeflow/pipelines/blob/master/sdk/python/tests/local_runner_test... | 2021-10-08T20:05:40 | 2022-03-02T15:05:37 | null | NONE | null | ### What steps did you take
### What happened:
Running the kfp with local client is ignoring the dsl.conditionOps
```
execution_context = execution_context_op(execution_context)
print('current context is ', execution_context)
with dsl.Condition(
execution_context == "evaluation", name="eval-task"
):
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6704 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6704/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6704/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6704/events | https://github.com/kubeflow/pipelines/issues/6704 | 1,020,770,760 | I_kwDOB-71UM4817nI | 6,704 | [frontend] Pipeline logs persistence | {
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"Possible related issue: https://github.com/kubeflow/pipelines/issues/6428\r\n\r\nOne thing we can do is to capture the `main.log` from output Artifact, and visualize it in Logs tab. Welcome contribution for making this change for KFPv1.",
"This issue has been automatically marked as stale because it has not had ... | 2021-10-08T07:09:25 | 2022-03-02T15:05:35 | null | NONE | null | I'm trying to persist the pipeline pod logs so that if pod gets deleted then logs should be available for the pipeline runs.
I added `archiveLogs: true` to the argo/base config-map and restarted pipelines deployment but still after deleting the pod, im not seeing logs.
![image](https://user-images.githubuserconte... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6699 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6699/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6699/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6699/events | https://github.com/kubeflow/pipelines/issues/6699 | 1,020,227,091 | I_kwDOB-71UM48z24T | 6,699 | Upgrade cloudpickle to > 2.0.0 | {
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"cc @chensun ",
"@feizerl, it's fine to merge the PR, but I think in general pickling isn't a good idea, the result of pickling is tied to a specific Python version. And we're not offering the pickling option in sdk v2.",
"@chensun I agree with you that pickling in general is not a good idea. \r\n\r\nThe advant... | 2021-10-07T16:16:51 | 2022-05-17T22:30:07 | 2021-10-11T18:43:45 | CONTRIBUTOR | null | Hello,
One of the features of pipelines is Step Caching (https://www.kubeflow.org/docs/components/pipelines/caching/) to avoid running the costly computations again and again.
The key for caching is:
```
message CacheKey {
map<string, ArtifactNameList> inputArtifactNames = 1;
map<string, Value> inputPa... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6697 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6697/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6697/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6697/events | https://github.com/kubeflow/pipelines/issues/6697 | 1,019,355,146 | I_kwDOB-71UM48wiAK | 6,697 | Pushing csv/json/parquet files to Big Query using Kubeflow component | {
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"Potential cause of this issue: Kubeflow pipelines service account should have permission to communicate with BigQuery. Documentation: http://cloud/bigquery/docs/access-control. Feel free to comment here if this doesn't solve your problem."
] | 2021-10-06T22:19:33 | 2023-04-06T22:49:16 | null | NONE | null | I am trying to store the output of my final process to a big query table using kubeflow component, pls can you suggest best practise for the same. Accessing "google.cloud" in python from lightweight component is throwing errors, hence I need alternative suggestions for the same | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6696 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6696/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6696/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6696/events | https://github.com/kubeflow/pipelines/issues/6696 | 1,019,211,632 | I_kwDOB-71UM48v-9w | 6,696 | [feature] Removes docker dependencies in test infra related scripts | {
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"cc @Bobgy @zijianjoy ",
"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"
] | 2021-10-06T20:56:01 | 2022-03-02T18:05:20 | null | CONTRIBUTOR | null | ### Feature Area
Starting with GKE node version 1.19, the default node image for Linux nodes is the Container-Optimized OS with Containerd (cos_containerd) variant instead of the Container-Optimized OS with Docker (cos) variant. And GKE will not be able to support Docker container runtime beyond GKE version 1.24.
Tes... | {
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"The issue is mitigated by manually deleting the model resources in the test project. \r\nFor the record, here's the script I used to batch deleting the models:\r\n```\r\ngcloud config set project <test-project-id>\r\ngcloud config set ai_platform/region global\r\n\r\ngcloud ai-platform models list > models.txt\r\n... | 2021-10-06T20:54:08 | 2021-10-09T06:51:16 | 2021-10-09T06:51:16 | COLLABORATOR | null | The symptom is
```
Exceeded the max allowed number of models per project: 100. To read more about Cloud ML Engine quota, see https://cloud.google.com/ml-engine/quotas. To read more about Cloud ML Engine quota, see https://cloud.google.com/ml-engine/quotas."
``` | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6687 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6687/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6687/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6687/events | https://github.com/kubeflow/pipelines/issues/6687 | 1,016,895,059 | I_kwDOB-71UM48nJZT | 6,687 | SDK: Drop support for Python 3.6 | {
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Drop support for Python 3.6 in January 2022.
### Justification
Python 3.6 will become unsupported by PSF in December 2021, and dropping support for it will allow us to begin using [Python 3.7 features](https://docs.python.org/3/whatsnew/3.7.html#summary-release-highlights).
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"Hello @ckchow , would you like to share the source code for DataprocClient()? looks like it is some usage error.",
"cc @IronPan ",
"DataprocClient is in google contributed code, https://github.com/kubeflow/pipelines/blob/master/components/gcp/container/component_sdk/python/kfp_component/google/dataproc/_client... | 2021-10-05T10:09:56 | 2022-03-01T22:51:53 | 2022-03-01T22:51:53 | NONE | null | ### Environment
* KFP version: Vertex AI
* KFP SDK version: 1.7
* All dependencies version:
kfp 1.8.2
kfp-pipeline-spec 0.1.11
kfp-server-api 1.7.0
### Steps to reproduce
```
@dsl.pipeline(
name='pipeline',
pipeline_root='gs://buc... | {
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"cc @chensun ",
"Morning\r\nany updates?",
"Hi @SaschaHeyer , this is indeed a known limitation and we plan to discuss the best solution for this in Q1/Q2 2022.\r\n\r\nCan you help us understand what's your use case to set a dynamic value for cpu limit, and how critical is this feature to you? Thanks!",
"Hi @... | 2021-10-05T06:57:45 | 2022-12-01T14:56:27 | null | NONE | null | Hello Kubeflow Team,
Hello Google Team,
The container OP `.set_cpu_limit`only works when the value is set explicit and not via parameter_values or at runtime
https://github.com/kubeflow/pipelines/blob/4906ab2f1142043517249a62b9f22bc122971fdf/sdk/python/kfp/dsl/_container_op.py#L378
**Reproduce**
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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"
] | 2021-10-05T00:49:10 | 2023-01-18T08:43:48 | 2023-01-18T08:43:48 | COLLABORATOR | null | null | {
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"Hi @zijianjoy,\r\n\r\nI am trying to create a pipeline that will read from a table during pipeline execution, and launch a few pod operations for each row that is in the table at that time. Will the feature that is mentioned here allow that capability? Or, do you know if that capability already exists? Thanks.",
... | 2021-10-05T00:47:53 | 2023-01-13T07:00:11 | 2023-01-13T07:00:11 | COLLABORATOR | null | Prerequisite: https://github.com/kubeflow/pipelines/issues/6779 | {
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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"
] | 2021-10-05T00:47:23 | 2022-09-01T19:25:27 | 2022-09-01T19:25:27 | COLLABORATOR | null |
- [x] Take a public URL for json file
- [x] Take a local json file
- [x] Use the pipeline spec from an existing run to create a new run.
- [x] #7571 | {
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+ cd /home/prow/go/src/github.com/kubeflow/pipelines/tfx
+ python3 -m pip install '.[test]' --upgrade --extra-index-url https://pypi-nightly.tensorflow.org/simple
Looking in indexes: https://pypi.org/simple, https://pypi-nightly.tensorflow.org/simple
Processing /home/prow/go/src/github.com/kubeflow/pipelines/tf... | {
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"@chensun click<9,>=7.1.1 works for me with kfp and seldon-core",
"Please reopen, i can still see \r\nhttps://github.com/kubeflow/pipelines/blob/7b4f28379d4204da3ad38ce376d2157cc3454356/sdk/python/requirements.txt#L22\r\n\r\nand \r\n\r\nhttps://github.com/kubeflow/pipelines/blob/7b4f28379d4204da3ad38ce376d2157cc3... | 2021-09-30T17:46:04 | 2021-10-06T08:20:18 | 2021-10-06T05:50:09 | MEMBER | null | ### Environment
* KFP version: 1.7
* KFP SDK version: 1.8.3
* All dependencies version:
```
[~]$ pip list | grep kfp
kfp 1.8.3
kfp-pipeline-spec 0.1.11
kfp-server-api 1.7.0
```
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https://api.github.com/repos/kubeflow/pipelines/issues/6649 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6649/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6649/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6649/events | https://github.com/kubeflow/pipelines/issues/6649 | 1,012,228,255 | I_kwDOB-71UM48VWCf | 6,649 | [bug] Kubeflow VolumeOp (PVC) not delete after Pipeline execution. | {
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"Possible related: https://github.com/kubeflow/pipelines/issues/3938",
"Hi @peterhaddad3121 ,\r\n\r\nto GC the resources created by `ResourceOp`s you should set the `set_owner_reference` argument to `True`. It's this one: https://github.com/kubeflow/pipelines/blob/5892bf97d08bbb51501d640cabfc310370a9f457/sdk/pyth... | 2021-09-30T14:07:23 | 2022-03-02T15:05:11 | null | NONE | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
The first step of a Pipeline is creating a VolumeOp to be attached to a couple of KF components in a Pipeline.
After the pipeline finishes and all Component pods are Completed then deleted, the PVC created does not delete.
#... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6645 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6645/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6645/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6645/events | https://github.com/kubeflow/pipelines/issues/6645 | 1,011,141,438 | I_kwDOB-71UM48RMs- | 6,645 | [bug] GCP component launch_flex_template wrong URL | {
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"cc @IronPan would you like to follow up on this?",
"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"
] | 2021-09-29T15:58:49 | 2022-03-02T18:05:16 | null | NONE | null | ## Summary
When launching a flex template, the URL is incorrect.
It is `https://dataflow.googleapis.com/v1b3/projects/ostk-gcp-mlcouponoffer-prod/locations/us-west3/templates:launch?gcsPath=`
It *should* be `https://dataflow.googleapis.com/v1b3/projects/ostk-gcp-mlcouponoffer-prod/locations/us-west3/flexTemplates:l... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6644 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6644/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6644/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6644/events | https://github.com/kubeflow/pipelines/issues/6644 | 1,010,903,173 | I_kwDOB-71UM48QSiF | 6,644 | [feature] Is there any feature to control lifecycle of resource used in kf pipeline ? | {
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"Hi,\r\nAFAIK we can leverage `ExitHandler `to tear down resources.\r\nhttps://kubeflow-pipelines.readthedocs.io/en/latest/_modules/kfp/dsl/_ops_group.html#ExitHandler",
"@midhun1998 Thank you for the comment :)\r\nYes I checked `ExitHandler` but this could only handle the `ContainerOp`. So If we use `ExitHandler... | 2021-09-29T12:36:19 | 2022-03-02T18:05:14 | null | MEMBER | 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?
There are `ResourceOp` to use some k8s resources(pvc, config... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6642 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6642/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6642/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6642/events | https://github.com/kubeflow/pipelines/issues/6642 | 1,010,330,639 | I_kwDOB-71UM48OGwP | 6,642 | How can I run a pipeline when a file is uploaded to a GCP bucket (Kubeflow 1.3 multi-user)? | {
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"Now my GCP function is able to list pipelines. \r\n\r\nI had to use the following service account: KF-NAME-user@KF-PROJECT.iam.gserviceaccount.com . \r\n\r\nThis message appears in the logs but it's just a warning message *No such file or directory: '/var/run/secrets/kubernetes.io/serviceaccount/namespace'*"
] | 2021-09-29T00:15:44 | 2021-09-30T15:55:48 | 2021-09-30T15:55:48 | NONE | null | I get the following error:
_"Failed to authorize with API resource references: Failed to authorize with API resource references: PermissionDenied: User 'myServiceAccount@appspot.gserviceaccount.com' is not authorized with reason: (request: ResourceAttributes{Namespace:namespace1,Verb:list,Group:pipelines.kubeflow.or... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6640 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6640/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6640/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6640/events | https://github.com/kubeflow/pipelines/issues/6640 | 1,010,224,654 | I_kwDOB-71UM48Ns4O | 6,640 | [bug] sample v2 test enables cache for all pipelines with v1 mode | {
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] | 2021-09-28T21:24:24 | 2021-09-29T04:49:48 | 2021-09-29T04:49:48 | CONTRIBUTOR | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
### What happened:
sample v2 test enables cache for all pipelines with v1 mode
### What did you expect to happen:
sample v2 test should disable cache for all pipelines with v1 mode
### Environment:
<!-- Please fill in t... | {
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"Traceback (most recent call last):\r\n File \"/usr/local/bin/dsl-compile\", line 8, in <module>\r\n sys.exit(main())\r\n File \"/usr/local/lib/python3.7/site-packages/kfp/compiler/main.py\", line 104, in main\r\n not args.disable_type_check,\r\n File \"/usr/local/lib/python3.7/site-packages/kfp/compiler/m... | 2021-09-28T19:10:19 | 2022-03-02T10:06:38 | null | NONE | null | ### What steps did you take
I am building a scikit-learn model and want to deploy the model on aiplatform.
### What happened:
When I compile the pipeline, I am receiving the following error:
"ValueError: compiler cannot find the model-export-path"
### Environment:
model_file_path = f"{model_dir}/model... | {
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### Environment
* KFP version: 1.8.2
* All dependencies vers... | {
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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"
] | 2021-09-28T18:10:11 | 2023-01-18T09:00:14 | 2023-01-18T09:00:14 | CONTRIBUTOR | null | - [ ] Add caching doc for v2 mode. Part of https://github.com/kubeflow/pipelines/issues/6156
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https://api.github.com/repos/kubeflow/pipelines/issues/6628 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6628/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6628/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6628/events | https://github.com/kubeflow/pipelines/issues/6628 | 1,009,475,412 | I_kwDOB-71UM48K19U | 6,628 | [sdk] Cannot refer to the loop parameter within the grandchild task | {
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* KFP version:
Vertex Pipelines
* KFP SDK version:
1.8.2
### Steps to reproduce
Run the following pipeline on Vertex Pipelines:
```
from kfp import components
from kfp import dsl
import kfp.v2.compiler as compiler
@components.create_component_from_func
def print_op(msg: str):
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https://api.github.com/repos/kubeflow/pipelines/issues/6623 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6623/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6623/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6623/events | https://github.com/kubeflow/pipelines/issues/6623 | 1,008,158,549 | I_kwDOB-71UM48F0dV | 6,623 | [feature] Cache pod updates to change node-selector/tolerations. | {
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"This issue is a duplicate of another issue that has already been merged: https://github.com/kubeflow/pipelines/issues/4777\r\nClosing.",
"Reopening this issue, looks like there is a bug in the patchoperations path.\r\n```\r\n\t\t\tif pod.Spec.Affinity != nil {\r\n\t\t\t\tpatches = append(patches, patchOperation{... | 2021-09-27T13:32:21 | 2021-11-01T03:50:26 | 2021-10-14T23:12:38 | CONTRIBUTOR | 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?
The ability to override node-selector, and toleration for components ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6620 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6620/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6620/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6620/events | https://github.com/kubeflow/pipelines/issues/6620 | 1,007,152,589 | I_kwDOB-71UM48B-3N | 6,620 | Is it possible to use a local path to stage a file for a kubeflow pipeline? | {
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"Hi,\r\n\r\nCan this help you https://github.com/kubeflow/pipelines/issues/2977 ?",
"Yup. This seems relevant.",
"Looks like it's only accessible via the kfp CLI though? From reading it it looks like it also has to do with specific file types, not arbitrary ones.",
"I think you can add your csv file into dock... | 2021-09-25T17:38:48 | 2022-04-02T02:44:32 | 2021-10-08T00:52:59 | NONE | null | Hi,
I have a local csv file that I want to use to kick start my pipeline. Is there a way to "stage" that file using kubeflow? I can't quite make sure if it's possible to use InputPath as a pipeline parameter or not. Am I supposed to upload my file to GCS and then pass the GCS URI along instead?
Thanks | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6619 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6619/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6619/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6619/events | https://github.com/kubeflow/pipelines/issues/6619 | 1,007,137,951 | I_kwDOB-71UM48B7Sf | 6,619 | [feature] Question about passing complex objects using pickle | {
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"Hi @drubinstein, sorry for the late reply.\r\n\r\nFor complex object such as numpy array, you can pass them by file. Here're some docs about passing by file:\r\nhttps://www.kubeflow.org/docs/components/pipelines/sdk/python-function-components/#passing-parameters-by-file\r\nor the v2 way if you're using Vertex Pipe... | 2021-09-25T16:32:52 | 2022-04-17T07:27:10 | null | NONE | null | ### Feature Area
/area backend
/area sdk
/area samples
### What feature would you like to see?
May already be handled, but I notice that in [_data_passing.py](https://github.com/kubeflow/pipelines/blob/dec03067ca1f89f1ca23c7397830d60201448fa6/sdk/python/kfp/components/_data_passing.py#L129) there's a `Base... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6615 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6615/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6615/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6615/events | https://github.com/kubeflow/pipelines/issues/6615 | 1,006,798,105 | I_kwDOB-71UM48AoUZ | 6,615 | [frontend] Log tab issue with archived_logs and cache | {
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"Hello @boarder7395 , the pod log will not be cached, so it is expected not seeing the log. If you want to see this feature, maybe adding a feature request?",
"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... | 2021-09-24T20:20:25 | 2022-03-02T18:05:15 | null | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Kubeflow
* KFP version:
1.0.4
### Steps to reproduce
Run a pipeline that uses the cache for some component with archive logs configured.
### Expected result
When the pod is garbage collected after pulling from the cache the logs tab shoul... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6614 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6614/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6614/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6614/events | https://github.com/kubeflow/pipelines/issues/6614 | 1,006,794,529 | I_kwDOB-71UM48Anch | 6,614 | [feature] V2 DSL Load_component_from_url Dataflow | {
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"cc @IronPan would you like to add `command` to the component?",
"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"
] | 2021-09-24T20:15:02 | 2022-03-02T18:05:17 | 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?
Currently, it looks like loading the dataflow yaml components does ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6612 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6612/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6612/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6612/events | https://github.com/kubeflow/pipelines/issues/6612 | 1,006,632,197 | I_kwDOB-71UM47__0F | 6,612 | [backend] DataProc Cluster creation fails with "Invalid value at 'cluster' (cluster_name), Starting an object on a scalar field" | {
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"I figured out the issue and it was on my side. need to specify the cluster object using `cluster=object`"
] | 2021-09-24T16:25:08 | 2021-09-28T15:49:38 | 2021-09-28T15:49:01 | NONE | null | ### Environment
* KFP version:
1.3.0
### Steps to reproduce
Trying to create dataproc cluster in python using component.yaml and providing arugments as cluster object.
```import kfp.components as comp
dataproc_create_cluster_op = comp.load_component_from_url(
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https://api.github.com/repos/kubeflow/pipelines/issues/6610 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6610/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6610/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6610/events | https://github.com/kubeflow/pipelines/issues/6610 | 1,006,566,929 | I_kwDOB-71UM47_v4R | 6,610 | When click Artifact, shows its type, name, upstream execution. | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6598 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6598/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6598/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6598/events | https://github.com/kubeflow/pipelines/issues/6598 | 1,004,964,138 | I_kwDOB-71UM475okq | 6,598 | [feature] Pass additional options to docker on local runner | {
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] | 2021-09-23T03:10:49 | 2021-09-24T14:58:37 | 2021-09-24T14:58:37 | CONTRIBUTOR | null | ### Feature Area
/area sdk
### What feature would you like to see?
Pass additional docker options to local runner. This might be implemented using `ExecutionMode`, e.g.:
```python
ExecutionMode("docker", docker_options=["-v", "~/.config:/root/.config"])
```
### What is the use case or pain point?
My... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6589 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6589/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6589/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6589/events | https://github.com/kubeflow/pipelines/issues/6589 | 1,002,776,825 | I_kwDOB-71UM47xSj5 | 6,589 | Annoying log that looks like an error | {
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"https://github.com/kubeflow/pipelines/pull/6590"
] | 2021-09-21T16:03:16 | 2021-09-24T17:21:54 | 2021-09-24T17:21:54 | CONTRIBUTOR | null | https://github.com/kubeflow/pipelines/blob/7875b68654a69ca761cb0ba4a920a30925a0e94b/sdk/python/kfp/_client.py#L203
When /var/run/secrets/kubernetes.io/serviceaccount/namespace file is missing, we log an INFO (cool) but also the error stack trace, which makes it look like an error (annoying) | {
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"I think the initial design and implementation of parallelism on `dsl.ParallelFor` didn't match everyone's expectation on how it should work. Thus, there was a subsequent work: https://github.com/kubeflow/pipelines/pull/4199",
"also affected by this. ",
"was this fixed?",
"Here is hack:\r\n```\r\ndef fix_para... | 2021-09-21T12:13:54 | 2023-01-09T08:34:35 | null | NONE | null | ### Environment
* KFP SDK version: `1.8.2`
* All dependencies version:
```bash
kfp 1.8.2
kfp-pipeline-spec 0.1.10
kfp-server-api 1.7.0
```
<!-- Specify the output of the following shell command: $pip list | grep kfp -->
### Steps to reproduce
```python
#pipelin... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6587 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6587/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6587/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6587/events | https://github.com/kubeflow/pipelines/issues/6587 | 1,002,267,470 | I_kwDOB-71UM47vWNO | 6,587 | [feature] Add multi-model support for training on Sagemaker | {
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"cc @RedbackThomson @surajkota ",
"@jpvandervelden Thanks for creating the issue.\r\n\r\nLooks like you need support for [multiModel parameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ContainerDefinition.html#sagemaker-Type-ContainerDefinition-Mode) in the [model component](https://github.co... | 2021-09-21T11:20:45 | 2021-10-22T13:57:46 | 2021-10-22T13:57:46 | 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?
A way to train Sagemaker models so that multiple models can be run on... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6586 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6586/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6586/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6586/events | https://github.com/kubeflow/pipelines/issues/6586 | 1,001,598,745 | I_kwDOB-71UM47sy8Z | 6,586 | Potentially duplicated function list_pipeline_versions()? | {
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"Since they have the same name, the last one will be the one that is exposed when using the `Client`. Thus I think it should be fine to remove the one on L661. ",
"@NikeNano - agreed - not sure on how proceed to a PR for this 🤷🏾♂️ \r\n\r\nI'm unable to create a remote branch with the change. I'm following the ... | 2021-09-21T00:26:21 | 2021-09-22T08:26:47 | 2021-09-22T08:26:47 | CONTRIBUTOR | null | Seems like there are two versions of this function within the same module:
https://github.com/kubeflow/pipelines/blob/7875b68654a69ca761cb0ba4a920a30925a0e94b/sdk/python/kfp/_client.py#L661
https://github.com/kubeflow/pipelines/blob/7875b68654a69ca761cb0ba4a920a30925a0e94b/sdk/python/kfp/_client.py#L1324
Shoul... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6585 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6585/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6585/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6585/events | https://github.com/kubeflow/pipelines/issues/6585 | 1,001,519,031 | I_kwDOB-71UM47sfe3 | 6,585 | method to check if SDK is talking to a real KFP API | {
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"@Bobgy am I missing something?",
"Could we use the health endpoint to validate this `/apis/v1beta1/healthz` , https://github.com/kubeflow/pipelines/blob/7875b68654a69ca761cb0ba4a920a30925a0e94b/sdk/python/kfp/_client.py#L394-L399",
"/assign \r\nI will make a method and add PR to validate if connect to a `kubef... | 2021-09-20T22:41:41 | 2022-03-02T18:05:31 | null | MEMBER | null | Currently, there does not seem to be a method on [`kfp.Client()`](https://kubeflow-pipelines.readthedocs.io/en/stable/source/kfp.client.html) which can reliably confirm that the `url` provided is actually a Kubeflow Pipelines API.
_NOTE: methods like `Client().list_pipelines()` return `{'next_page_token': None, 'pi... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6581 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6581/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6581/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6581/events | https://github.com/kubeflow/pipelines/issues/6581 | 999,801,553 | I_kwDOB-71UM47l8LR | 6,581 | [bug] How to use Sidecar in Vertex pipeline? | {
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"I think the way you'd want to do this for Vertex (although I'm not sure if sidecars are supported 🤔 ):\r\n\r\n```python\r\nmain_op = kfp.components.load_component_from_text('''\r\n name: main_op\r\n implementation:\r\n container:\r\n image: x\r\n ''')\r\nmain_task = main_op()\r\n\r\nsidecar_t... | 2021-09-18T00:16:25 | 2021-09-24T01:29:00 | 2021-09-24T01:27:53 | NONE | null | ### What steps did you take
In kfp pipeline I can use the following code to create a containerOp and add a Sidecar to it:
```
sidecar_task = dsl.Sidecar(name='x', image='x')
main_task = dsl.ContainerOp(name='x', image='x', sidecars=[sidecar_task])
```
When I switch to Vertex pipeline, since `dsl.ContainerOp` is... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6578 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6578/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6578/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6578/events | https://github.com/kubeflow/pipelines/issues/6578 | 998,634,656 | I_kwDOB-71UM47hfSg | 6,578 | [feature] Ability to disable caching for a particular pipeline run via the UI | {
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"@zijianjoy \r\nI talked with sdk side and vertex side, the agreement is to implement disable/enable caching level at client side first.\r\nLater when we have a clear goal of caching CUJ, we can talk about implementing this in server side which means change pipeline job proto.\r\nSDK already implemented such logic ... | 2021-09-16T21:00:05 | 2022-09-13T10:15:07 | null | CONTRIBUTOR | 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?
The ability to enable or disable (v2) caching for a pipeline run _via t... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6576 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6576/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6576/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6576/events | https://github.com/kubeflow/pipelines/issues/6576 | 997,841,423 | I_kwDOB-71UM47edoP | 6,576 | [sdk] KeyError when using several ParallelFor which depends on the same function component. | {
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"The following workaround works.\r\n\r\n```py\r\nimport uuid\r\n\r\n\r\ndef _create_component_from_func(func, *args, **kwargs):\r\n # Don't override func.__name__ that causes an execution error.\r\n func._component_human_name = f\"{func.__name__}_{uuid.uuid4().hex}\"\r\n return comp.create_component_from... | 2021-09-16T06:53:34 | 2021-09-28T07:10:10 | 2021-09-28T07:10:10 | NONE | null | ### Environment
* KFP version: I'm using Vertex Pipelines
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK version: 1.8.1
<!-- Specify the version of Kubeflow Pipelines that you are using. The version number app... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6574 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6574/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6574/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6574/events | https://github.com/kubeflow/pipelines/issues/6574 | 996,990,727 | I_kwDOB-71UM47bN8H | 6,574 | [sdk] KFP V2 pipeline fails with 'no module named ensurepip' | {
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"cc @chensun ",
":+1: I meet the same issue. Running with the default image is ok, but the error pops up when I switch to my own image where there is no ensurepip (but pip is pre-installed).\r\n\r\nusing system python 3.6 on ubuntu 18.04. Then I installed `python3.6-venv` package and call `python -m ensurepip` b... | 2021-09-15T11:51:42 | 2021-11-11T17:16:39 | 2021-11-11T17:16:39 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
With KF 1.3 but KFP bumped to 1.7
KFP version: 1.7
* KFP SDK version: 1.7.1
### Steps to reproduce
Build simple kFP V2 one-component hello-world pipeline.
### Expected result
Pipeline should run
### Materials and Reference
Outpu... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6562 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6562/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6562/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6562/events | https://github.com/kubeflow/pipelines/issues/6562 | 996,134,599 | I_kwDOB-71UM47X87H | 6,562 | [feature] Add option to allow VolumeOp to re-use PVC | {
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/area sdk
### What feature would you like to see?
VolumeOp should allow re-using of existing PVC.
<!-- Provide a description of this feature and the user experience. -->
### What is the use case or pain point?
When we have a VolumeOp component in a recurring-run pipeline the component creat... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6559 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6559/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6559/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6559/events | https://github.com/kubeflow/pipelines/issues/6559 | 995,838,286 | I_kwDOB-71UM47W0lO | 6,559 | [bug] Sanitize Names kfp.dsl doesn't allow the usage of argo template variables | {
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"@munagekar, For my education, what's your use case to include Argo placeholders in some \"name\"?",
"@chensun \r\n\r\n- prefix multiple resources created(svc,pvc,depolyment associated with a workflow ) with {{workflow.name}} to link all relevant resources together.\r\n- avoid a resource-name-conflict if the same... | 2021-09-14T10:10:37 | 2022-03-02T21:05:10 | null | CONTRIBUTOR | null | ### What steps did you take
Named a k8s resource as`xxx-{{workflow.uid}}`. It got converted to xxx-workflow-uid. This breaks argo workflow templating.
https://github.com/kubeflow/pipelines/blob/5d82fa7dc8dfe381a8759358b92cc94ef0a0f137/sdk/python/kfp/compiler/_k8s_helper.py#L20-L37.
### What did you expect to ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6555 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6555/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6555/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6555/events | https://github.com/kubeflow/pipelines/issues/6555 | 995,181,942 | MDU6SXNzdWU5OTUxODE5NDI= | 6,555 | expose task API via Istio authorization policy | {
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"Deploy kubeflow with master branch. Verifies task api is already available.\r\n\r\n"
] | 2021-09-13T18:10:52 | 2021-09-13T18:12:44 | 2021-09-13T18:12:44 | CONTRIBUTOR | null | ### Feature Area
expose task API via Istio authorization policy. This is part of https://github.com/kubeflow/pipelines/issues/5680#issuecomment-913918171
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->
### What is the use case or pain point?
<... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6554 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6554/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6554/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6554/events | https://github.com/kubeflow/pipelines/issues/6554 | 994,588,191 | MDU6SXNzdWU5OTQ1ODgxOTE= | 6,554 | [feature][v2] Allow pipelines to use per steps caching | {
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"We will consider adding this support in KFP v2, but will not support this in KFP v2 compatible mode. Do you want the staleness support? Or just simply enable/disable per-step caching?",
"Seems fine to me. Staleness support would certainly be very useful, but I guess I could find a workaround with only per-step c... | 2021-09-13T08:12:07 | 2022-04-21T00:30:16 | null | NONE | null | ### Feature Area
/area backend
### What feature would you like to see?
In v2 compatible mode, I would like to have a way to configure the caching per components like `task.execution_options.caching_strategy.max_cache_staleness = "P7D"` in v1.
### What is the use case or pain point?
I have some pipelines which ... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6553 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6553/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6553/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6553/events | https://github.com/kubeflow/pipelines/issues/6553 | 994,375,137 | MDU6SXNzdWU5OTQzNzUxMzc= | 6,553 | [feature] Expose argo synchronization options | {
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"@Bobgy @capri-xiyue: if this request makes sense, let me know if there's a good place to add these options in the dsl, and I can write up a patch.",
"Hello @jmcarp , what is the CUJ for setting limitation of synchronization on 1)workflow level, 2) step level?",
"Hi @zijianjoy, the typical use case in either ca... | 2021-09-13T02:13:55 | 2023-09-01T09:43:28 | null | CONTRIBUTOR | null | ### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
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<!-- /area backend -->
/area sdk
<!-- /area samples -->
<!-- /area components -->
### What feature would you like to see?
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"Hello @yousefis , would you like to check if the inverse-proxy is healthy and whether your backend service has received this request and logs? Thank you!",
"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 you... | 2021-09-11T00:11:59 | 2022-03-02T18:05:35 | null | NONE | null | Issue in creating the kubeflow pipeline.
Pipeline version creation failed
<!DOCTYPE html>
<html lang=en>
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<meta name=viewport content="initial-scale=1, minimum-scale=1, width=device-width">
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https://api.github.com/repos/kubeflow/pipelines/issues/6547 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6547/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6547/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6547/events | https://github.com/kubeflow/pipelines/issues/6547 | 993,566,380 | MDU6SXNzdWU5OTM1NjYzODA= | 6,547 | [backend] Retries fail silently for runs with compressed or offloaded node statuses | {
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"u... | closed | false | null | [] | null | [] | 2021-09-10T20:17:28 | 2021-09-17T00:12:44 | 2021-09-17T00:12:44 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? standalone
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP version: 1.5.1
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https://api.github.com/repos/kubeflow/pipelines/issues/6540 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6540/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6540/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6540/events | https://github.com/kubeflow/pipelines/issues/6540 | 992,971,877 | MDU6SXNzdWU5OTI5NzE4Nzc= | 6,540 | [sdk] Unable to run pipeline from Codelab | {
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"@ritaarex If I'm not mistaken, you set `region` to `'eu'` when you initialize the client?\r\n```\r\napi_client = AIPlatformClient(\r\n project_id=PROJECT_ID,\r\n region=REGION,\r\n)\r\n```\r\n`eu` is not a valid region, Vertex Pipelines currently support the following regions in Europe:\r\n- London (europe-w... | 2021-09-10T07:37:33 | 2021-09-24T09:09:07 | 2021-09-24T09:09:07 | NONE | null | Hi,
I am following the codelab [Intro to Vertex AI pipelines](https://codelabs.developers.google.com/vertex-pipelines-intro#0), but I am having trouble. At the final step, when I try to run the pipeline, I get an error.
Can anyone help?
Thanks!!
### Environment
* KFP SDK version: 1.8.0
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https://api.github.com/repos/kubeflow/pipelines/issues/6536 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6536/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6536/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6536/events | https://github.com/kubeflow/pipelines/issues/6536 | 991,858,599 | MDU6SXNzdWU5OTE4NTg1OTk= | 6,536 | [doc] how to set resource request/limit | {
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"https://cloud.google.com/vertex-ai/docs/pipelines/build-pipeline#specify-machine-type is a good example for how to document this",
"/assign @chensun \r\ncan you keep track of this request?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no furth... | 2021-09-09T06:37:35 | 2022-03-02T21:05:21 | null | CONTRIBUTOR | 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?
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"Hi @jonasdebeukelaer, that's a bug I introduced, I believe it should be fixed by https://github.com/kubeflow/pipelines/pull/6415 as a side effect. Can you verify KFP SDK 1.8.0?",
"@Bobgy yes seems that fixed it thanks, sorry didn't see a new version had been released!",
"No worries, thank you for verifying the... | 2021-09-08T09:03:31 | 2021-09-13T02:29:57 | 2021-09-12T21:59:16 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)? standalone on azure with minio object storage
* KFP version: `1.7.0`
To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
* KFP SDK version:
```
kfp 1.7.1
kfp-pipeline-spec... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6517 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6517/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6517/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6517/events | https://github.com/kubeflow/pipelines/issues/6517 | 990,271,910 | MDU6SXNzdWU5OTAyNzE5MTA= | 6,517 | [feature] Allow KFP to specify Minio instance when configuring pipeline root | {
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"This can be achieved via https://github.com/kubeflow/pipelines/issues/5753 too if implemented.",
"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",
"What needs t... | 2021-09-07T19:15:41 | 2023-06-29T04:35:28 | 2022-08-04T22:56:03 | CONTRIBUTOR | null | ### Feature Area
<!-- /area backend -->
### What feature would you like to see?
Currently when user configure pipeline root with minio, user can't change the MinIO instance. Kubeflow Pipelines can only use the Minio instance deployed with itself. Allow KFP to specify Minio instance other than the minio instance depl... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6512 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6512/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6512/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6512/events | https://github.com/kubeflow/pipelines/issues/6512 | 989,668,245 | MDU6SXNzdWU5ODk2NjgyNDU= | 6,512 | [sdk] nodeSelector specification not being set correctly in pipeline spec | {
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"u... | closed | false | null | [] | null | [] | 2021-09-07T07:13:11 | 2021-09-09T22:26:51 | 2021-09-09T22:26:51 | NONE | null | ### Environment
* KFP version:
1.3
* KFP SDK version:
1.8.0
* All dependencies version:
kfp 1.8.0
kfp-pipeline-spec 0.1.10
kfp-server-api 1.6.0
### Steps to reproduce
python samples/core/resource_spec/runtime_resource_request_gpu.py
... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6511 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6511/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6511/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6511/events | https://github.com/kubeflow/pipelines/issues/6511 | 989,502,529 | MDU6SXNzdWU5ODk1MDI1Mjk= | 6,511 | Where is the changelog for the `kfp` PyPi package? | {
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"cc @chensun \r\n\r\nCurrently we don't have CHANGELOG, defer to Chen to determine the direction of documentation",
"@thesuperzapper We have the changelog for SDK: https://github.com/kubeflow/pipelines/blob/master/sdk/RELEASE.md\r\n\r\n> How are kfp PyPi releases related to pipelines releases?\r\n\r\nKFP SDK is r... | 2021-09-07T00:49:00 | 2021-09-23T05:00:36 | 2021-09-23T05:00:36 | MEMBER | null | I often see releases for the [`kfp` PyPi releases](https://pypi.org/project/kfp/#history) which are not aligned with [`kubeflow/pipelines` releases](https://github.com/kubeflow/pipelines/releases), for example the latest versions are currently:
- [`kfp` == `1.8.0`](https://pypi.org/project/kfp/1.8.0/)
- [`kubeflow/pi... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6510 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6510/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6510/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6510/events | https://github.com/kubeflow/pipelines/issues/6510 | 989,157,591 | MDU6SXNzdWU5ODkxNTc1OTE= | 6,510 | Shared memory issue in Kubeflow when training on GPU cluster | {
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"Hello @mikel-brostrom , this doesn't seem to be Kubeflow Pipelines related. This is more related to kubernetes because the component runs directly on k8s. Can you try figuring out how much GPU you need on training component and find solution using general k8s approach?",
"I fixed it by creating a pipelinevolme ... | 2021-09-06T13:08:56 | 2021-12-24T06:01:00 | 2021-09-16T23:05:23 | NONE | null | ### What steps did you take
1. I deployed a pipeline to Kubeflow from my local computer
2. The pipeline starts and
* The fetch component runs successfully
* The split component run successfully
* BUT, the train component gives an error. More specifically:
ERROR: Unexpected bus error encountered in... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6506 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6506/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6506/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6506/events | https://github.com/kubeflow/pipelines/issues/6506 | 988,092,803 | MDU6SXNzdWU5ODgwOTI4MDM= | 6,506 | [feature] Use `pipelines.kubeflow.org/engine_mode` pod label to differentiate between different kfp engine like "v2" and "v2_compatible" | {
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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"
] | 2021-09-03T20:51:46 | 2022-03-02T21:05:23 | null | CONTRIBUTOR | null | ### Feature Area
Use `pipelines.kubeflow.org/engine_mode` pod label to differentiate between different kfp engine like "v2" and "v2_compatible
<!-- /area backend -->
### What feature would you like to see?
<!-- Provide a description of this feature and the user experience. -->
### What is the use case or... | {
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"cc @SinaChavoshi ",
"Getting this error now on changing to python_module_name. Have put the code in #6426 \r\n\r\nKeyError Traceback (most recent call last)\r\n<ipython-input-9-57017d2a36e9> in <module>\r\n 2 pip_package_path=PIPELINE_DISPLAY_NAME + \".json\"\r\n 3 comp... | 2021-09-03T07:17:30 | 2021-09-27T15:52:08 | 2021-09-27T15:52:07 | NONE | null | Hi Sina,
This is not the case.
I am already passing python_module_name as str.
But still getting the error.
Sample for reference:-
PROJECT_ID = 'xyz'
LOCATION = 'abc'
PIPELINE_ROOT_PATH = 'gs://test'
MODEL_DISPLAY_NAME='custom-test1-template'
PIPELINE_DISPLAY_NAME = 'custom-test-pipeline'
CONTAINER_URI... | {
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"@SinaChavoshi :- Wer you able to look into this further?",
"thank you for the report! reopened https://github.com/kubeflow/pipelines/issues/6426 for you"
] | 2021-09-03T07:15:24 | 2021-09-10T00:42:57 | 2021-09-10T00:42:57 | NONE | null | I believe this issue was fixed by #6473 . Closing as fixed, this is not the case please reopen this bug.
_Originally posted by @SinaChavoshi in https://github.com/kubeflow/pipelines/issues/6426#issuecomment-911878051_ | {
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"Tracking action items:\r\n\r\n- [x] https://github.com/kubeflow/pipelines/pull/6467 \r\n- [x] https://github.com/kubeflow/pipelines/pull/6501\r\n- [ ] TODO: Check formatting in CI.",
"/lgtm",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no furt... | 2021-09-03T00:29:35 | 2022-03-02T21:05:09 | null | COLLABORATOR | null | Currently, the KFP SDK code isn’t formatted consistently. One noticeable inconsistency is that some files have 2-space indentation (conforms to Google internal style) while others have 4-space indentation (conforms to [PEP8](https://www.python.org/dev/peps/pep-0008/#indentation) and [Google Python Style Guide](https://... | {
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"@chensun Hello Chen, would you like to help looking at this issue? Thank you!\r\n\r\ncc @lynnmatrix ",
"Do it make sens to add it to the entrypoint if you want to change it for different use cases? Could you drop the entrypoint and instead incoporate it as part of the command @etsyamitra ?\r\n",
"That would be... | 2021-09-02T16:26:47 | 2022-03-02T18:05:32 | null | NONE | null | ### Feature Area
kfp local runner through docker exec environment
### What feature would you like to see?
Being able to set docker --[entrypoint](https://docs.docker.com/engine/reference/run/#entrypoint-default-command-to-execute-at-runtime) which running the component.
<!-- Provide a description of this feat... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6495 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6495/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6495/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6495/events | https://github.com/kubeflow/pipelines/issues/6495 | 986,748,937 | MDU6SXNzdWU5ODY3NDg5Mzc= | 6,495 | [sdk] compilation failed when reusing operator definition on inner For loop | {
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"This is fixed by https://github.com/kubeflow/pipelines/pull/6600\r\nPending KFP SDK 1.8.3 release (by today)."
] | 2021-09-02T13:43:21 | 2021-09-28T20:59:22 | 2021-09-28T20:59:22 | NONE | null | ### Environment
* KFP version: Not important
* KFP SDK version: 1.7.* and 1.8.*
* All dependencies version:
kfp 1.7.1
kfp-pipeline-spec 0.1.10
kfp-server-api 1.7.0
### Steps to reproduce
The following script fails to bui... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6493 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6493/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6493/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6493/events | https://github.com/kubeflow/pipelines/issues/6493 | 986,310,043 | MDU6SXNzdWU5ODYzMTAwNDM= | 6,493 | [frontend] <Unable to configure minio accesskey using manifests> | {
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"Hello @Hmr-ramzi , currently there is no good way to programmatically update minio access key in multi-user mode.\r\n\r\nYou can change minio access key using kubectl following this https://github.com/kubeflow/pipelines/blob/a35812429c9e57b29e7b559814f299af8c2fd305/manifests/kustomize/base/installs/multi-user/pipe... | 2021-09-02T07:45:07 | 2022-03-02T21:05:15 | null | NONE | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Using kubeflow manifests
* KFP version:
1.5.1
### Steps to reproduce
By providing an access key to minio that is different than minio123 the frontend is unable to access minio
### Expected result
Once the backend is configured with the ri... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6492 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6492/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6492/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6492/events | https://github.com/kubeflow/pipelines/issues/6492 | 986,103,270 | MDU6SXNzdWU5ODYxMDMyNzA= | 6,492 | [backend] API performance regression in 1.5 | {
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"Hi @jmcarp, thank you for filing this report!\r\nIs it possible also trying to reproduce in the latest 1.7.0 release?\r\n\r\nI don't have any ideas at the moment, so welcome any contributions\r\n"
] | 2021-09-02T04:23:06 | 2021-09-08T10:48:07 | 2021-09-08T10:48:07 | CONTRIBUTOR | null | ### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
Standalone
* KFP version:
1.5.1
* KFP SDK version:
n/a
### Steps to reproduce
- Upgrade from 1.4.1 to 1.5.1.
- Refresh the runs page several times.
- API latency is mostly fast (~500ms) but sometimes jumps to >30s.
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https://api.github.com/repos/kubeflow/pipelines/issues/6487 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6487/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6487/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6487/events | https://github.com/kubeflow/pipelines/issues/6487 | 985,181,216 | MDU6SXNzdWU5ODUxODEyMTY= | 6,487 | [backend] Kale pipelines always fails | {
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"@yanniszark @elikatsis @kimwnasptd \r\n\r\nHello Arrikto, is this an expected behavior for Kale needing this permission to get argo workflow? Would you like to consider adding permission for Kale to access Pipelines?\r\n",
"Any updates or thoughts on this?",
"@zijianjoy @elikatsis A fix for this issue was foun... | 2021-09-01T13:51:57 | 2022-03-02T18:05:37 | null | CONTRIBUTOR | null | We are trying to setup Kale in Kubeflow v1.3.0 with KFP 1.7 in multi-user mode.
Kale can access the KFP API and perform compile, upload and start a run.
However, the run always fails on the first user-made component (the kale-marshall-volume step succeds). The error message indicates that the user service-accoun... | {
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"Hello @rubenaranamorera , would you like to try using ResourceType_PIPELINE_VERSION? You can use this or get the `PipelineID` from `PipelineSpec` as specified in https://www.kubeflow.org/docs/components/pipelines/reference/api/kubeflow-pipeline-api-spec/#/definitions/apiPipelineSpec for the same goal.",
"Using \... | 2021-09-01T09:11:17 | 2022-03-02T21:05:14 | null | NONE | null | When calling the api with an APIResourceReference:
```
apiResourceReference := &job_model.APIResourceReference{
Key: &job_model.APIResourceKey{
ID: pipelineOk.Payload.ID,
Type: job_model.APIResourceTypePIPELINE,
},
Name: pipelineOk.Payload.Name,
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https://api.github.com/repos/kubeflow/pipelines/issues/6479 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6479/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6479/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6479/events | https://github.com/kubeflow/pipelines/issues/6479 | 983,907,605 | MDU6SXNzdWU5ODM5MDc2MDU= | 6,479 | Which all artifact types can be created using the pipeline sdk which are supported by argo workflows? | {
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"Hello @sujaykulkarn , currently this is not supported by KFP. cc @chensun ",
"I think the ask is to support additional artifact repositories, which needs to be supported by KFP runtime first. \r\n\r\n@Bobgy to comment.",
"I am interested in more user feedback before adding these features, because you can also ... | 2021-08-31T14:09:02 | 2022-03-02T21:05:16 | null | NONE | null | Hi, I was trying to understand how to create HTTP, git and other artifacts using SDK which are supported by Argo Workflows. (https://argoproj.github.io/argo-workflows/configure-artifact-repository/) please help with your inputs on how to create pipelines using these artifacts. Thanks | {
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"the error is expected, because network is not always stable.\r\nIn these cases, we should have a backoff retry to handle the flakiness of network.",
"Reassigned it to James Wu to further discuss the priority and the assignee",
"This issue has been automatically marked as stale because it has not had recent act... | 2021-08-30T07:13:26 | 2022-04-17T06:27:41 | null | CONTRIBUTOR | null | v2 sample test flaky when downloading/uploading artifacts with error message:
```
net/http: TLS handshake timeout
```
_Originally posted by @Bobgy in https://github.com/kubeflow/pipelines/issues/6468#issuecomment-908093370_ | {
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"Thanks for adding this issue. You are more than welcome to contribute a fix @benhyy. ",
"/area components/aws/sagemaker",
"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 has... | 2021-08-29T02:33:01 | 2023-01-09T21:50:03 | 2023-01-09T21:50:02 | NONE | null | ### What steps did you take
Code gets stuck in infinite loop is SageMaker training job gets stopped (unhandled use case)
### What happened:
https://github.com/kubeflow/pipelines/blob/master/components/aws/sagemaker/train/src/sagemaker_training_component.py#L57-L66
Above code only caters for training job sta... | {
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"Hello @mlu4679 , you can refer to https://www.kubeflow.org/docs/components/pipelines/multi-user/#how-are-resources-separated to specify resource, you can use either the resource `NAMESPACE ` or `EXPERIMENT` in resource filter. Because these two fields allow multi-user mode to learn which namespace to run your pipe... | 2021-08-27T18:36:37 | 2022-03-02T21:05:13 | null | NONE | null | ### What steps did you take
<!-- A clear and concise description of what the bug is.-->
I am trying to use the KFP REST API in order to create a new run of a pipeline that already exists.
Using the python requests package, I am authenticating myself in order to use POST and GET requests with the API. Currently, th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6451 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6451/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6451/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6451/events | https://github.com/kubeflow/pipelines/issues/6451 | 979,945,253 | MDU6SXNzdWU5Nzk5NDUyNTM= | 6,451 | KFP SDK v2 compatibility mode feedback | {
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"KFP SDK v2 issue: https://github.com/kubeflow/pipelines/issues/6574\r\n",
"Hello, we love the v2 so far but we would highly appreciate to be able to compare runs like we used to on v1 (eg: be able to compare the metrics of each of them in one go instead of having to open each of them manually).\r\nThis is our ma... | 2021-08-26T07:52:43 | 2022-04-14T11:57:07 | null | CONTRIBUTOR | null | Documentation: www.kubeflow.org/docs/components/pipelines/sdk/v2/v2-compatibility/
Design: [bit.ly/kfp-v2-compatible](https://bit.ly/kfp-v2-compatible)
[New Features](https://docs.google.com/document/d/139pweX3PtCv96DLeyVYzZpcf3mB1Z0MFvjSEmu4D3tg/edit?pli=1#heading=h.jmnajnr9e0zj)
Breaking Changes and Known Caveats:... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6445 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6445/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6445/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6445/events | https://github.com/kubeflow/pipelines/issues/6445 | 979,712,013 | MDU6SXNzdWU5Nzk3MTIwMTM= | 6,445 | [feature] Validate IAP JWT header | {
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"/assign @zijianjoy ",
"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"
] | 2021-08-26T00:16:38 | 2022-03-02T21:49:34 | null | CONTRIBUTOR | null | ### Feature Area
<!-- /area frontend -->
### What feature would you like to see?
I would like to use the Google IAP as an auth proxy for the KFP UI. As a secondary security measure, Google recommends verifying the JWT header from IAP at the application layer: https://cloud.google.com/iap/docs/signed-headers-ho... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6436 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6436/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6436/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6436/events | https://github.com/kubeflow/pipelines/issues/6436 | 979,454,685 | MDU6SXNzdWU5Nzk0NTQ2ODU= | 6,436 | Upgrade MLMD proto to 1.2.0 or above to get filter_query | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6435 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6435/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6435/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6435/events | https://github.com/kubeflow/pipelines/issues/6435 | 979,400,191 | MDU6SXNzdWU5Nzk0MDAxOTE= | 6,435 | Allow custom mounting for kfp local runner | {
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"cc @chensun ",
"cc @lynnmatrix, do you want to take a look?",
"I think this code already supports parameterizing the mounting location: \r\n\r\nhttps://github.com/kubeflow/pipelines/blob/a1ec227a24d71b7a697884d1e2d00a57583f376b/sdk/python/kfp/_local_client.py#L344-L351\r\n\r\nSo to change it, you just need to ... | 2021-08-25T16:19:58 | 2021-08-30T17:55:26 | 2021-08-30T17:55:26 | NONE | null | ### Feature Area
Have been using the kfp local runner feature using the docker execution environment.
......
run_pipeline_func_locally(
pipeline_func,
arguments={
"train_output_dir": TRAINER_OUTPUT_PATH,
},
execution_mode=LocalClient.ExecutionMode("docker"),
)... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6433 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6433/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6433/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6433/events | https://github.com/kubeflow/pipelines/issues/6433 | 979,282,637 | MDU6SXNzdWU5NzkyODI2Mzc= | 6,433 | [sdk] Compilation problems in kfp==1.7.1 when creating two independent operators from the same python component. | {
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"cc @chensun ",
"@thomas-mueller can you provide a minimal reproduction sample?",
"@Bobgy, @chensun, here is my smallest example:\r\n\r\n```python\r\nimport functools\r\nimport kfp\r\nimport typing\r\n\r\ncreate_component_from_func = functools.partial(kfp.components.create_component_from_func, base_image=\"pyth... | 2021-08-25T15:12:21 | 2021-09-28T07:10:10 | 2021-09-28T07:10:10 | NONE | null | ### Environment
```
$ pip list | grep kfp
kfp 1.7.1
kfp-pipeline-spec 0.1.9
kfp-server-api 1.4.1
```
### Steps to reproduce
I have a python component function and call it twice in a pipeline with different parameter to create two independent operators f... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6432 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6432/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6432/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6432/events | https://github.com/kubeflow/pipelines/issues/6432 | 979,151,391 | MDU6SXNzdWU5NzkxNTEzOTE= | 6,432 | [feature] Allow time to live to be set on pipelines individually while supporting the persistance agent to do the GC. | {
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"ping @Bobgy WDYT?",
"Hello @NikeNano , may I ask for the use case for this feature? For example, what kind of users need to configure TTL for pipeline? Usually it is the cluster admin who control the lifecycle of workflow. And can the pipeline creators themselves have the control over TTL in your mind?",
"My e... | 2021-08-25T13:28:13 | 2022-01-30T14:57:12 | 2022-01-30T14:57:12 | MEMBER | null | ### Feature Area
There have been multiple issues related to time to live(ttl) for pipelines, https://github.com/kubeflow/pipelines/issues/5545, https://github.com/kubeflow/pipelines/issues/5234. A common solution is to use `set_ttl_seconds_after_finish` which don't respect the persistence agent and can resolve in th... | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6431 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6431/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6431/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6431/events | https://github.com/kubeflow/pipelines/issues/6431 | 979,098,224 | MDU6SXNzdWU5NzkwOTgyMjQ= | 6,431 | [components] Upgrade minio to the latest version | {
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"@haoxins Yes, absolutely welcome a PR on this!",
"Just a heads up, Minio changed its license from Apache 2.0 to AGPL v3.There is a bit of controversy surrounding this decision:\r\n\r\nhttps://github.com/minio/minio/discussions/12157\r\nhttps://github.com/minio/minio/discussions/12158\r\nhttps://github.com/minio/... | 2021-08-25T12:38:42 | 2022-06-10T17:00:39 | 2022-06-10T17:00:39 | CONTRIBUTOR | null | ### Feature Area
/area components
Is there any reason not to upgrade the [**`minio`**](https://hub.docker.com/r/minio/minio/tags) to the latest version?
Is it open for others to submit PR for this? | {
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https://api.github.com/repos/kubeflow/pipelines/issues/6430 | https://api.github.com/repos/kubeflow/pipelines | https://api.github.com/repos/kubeflow/pipelines/issues/6430/labels{/name} | https://api.github.com/repos/kubeflow/pipelines/issues/6430/comments | https://api.github.com/repos/kubeflow/pipelines/issues/6430/events | https://github.com/kubeflow/pipelines/issues/6430 | 979,046,935 | MDU6SXNzdWU5NzkwNDY5MzU= | 6,430 | Return minio log url when getting the status of a run using rest api call | {
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"Hello, in KFPv1, you can parse argo workflow yaml to get this URL. In KFPv2, we will plan for supporting this after Alpha release.",
"Hello, thank you for your reply. Can you please provide any example to get url using KFPv1?\r\nor any link which I can refer. \r\n\r\nAlso thanks for taking this into account for ... | 2021-08-25T11:45:59 | 2022-03-02T21:05:27 | null | NONE | null | Hello folks,
we see archived logs that are on the Inputs/Outputs tab under Output artifacts in the form of URI on Kubeflow UI.
Log URI: "minio://mlpipeline/artifacts/..../.../main.log"
We have a rest end point from kubeflow side where we get status for specific run id.
```http://kubeflow-hostt/ml-pipeline/apis/... | {
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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",
"Hi @chensun ! This discussion is very dear to us, as many of our workflows do require us to run pipelines that declare volumes and use ... | 2021-08-25T10:54:12 | 2022-09-24T00:47:51 | null | CONTRIBUTOR | null | ### Environment
* KFP version: 1.7.0
* KFP SDK version: 1.7.0
* All dependencies version:
```
kfp 1.7.0
kfp-pipeline-spec 0.1.9
kfp-server-api 1.7.0
```
### Steps to reproduce
try to create a PVC using `kfp.dsl.VolumeOp`
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