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Home Page: http://kubegene.io
License: Apache License 2.0
KubeGene - A turn-key Genome Sequencing workflow management framework
Home Page: http://kubegene.io
License: Apache License 2.0
/assign @kevin-wangzefeng
When I submited the workflow, I met a mistake:
Error: submit execution error: the server could not find the requested resource (post executions.execution.kubegene.io)
the command I used is as follows:
genectl sub workflow example/simple-sample/simple-sample.yaml --tool-repo example/tools/
what does the error means and how can I solve it?
genectl describe
command is now implemented with implict and fixed resource type:
genectl describe <resource name>
actually means genectl describe execution <resource name>
.
To address this issue, the command format shall be
genectl describe <resource type> <resource name>
Or
genectl describe <resource type>/<resource name>
it's already support var_iter
when job concurrence.
var1: [A,B,C]
var2:[1,2,3]
it get : A1, A2, A3, B1, B2, B3, C1, C2, C3
but, when container job concurrence,it need all $vars iterater both add index like:
var1: [A,B,C]
var2:[1,2,3]
it get : A1, B2, C3
Both genectl
and kube-dag
do not support version info. It is better to support this.
Hi folks,
Very cool project!
Jeremy Lewi (Google Kubeflow) mentioned your project to us. We collaborate with Jeremy and the Kubeflow team because they use Argo (https://github.com/argoproj/argo) as their workflow engine for Kubernetes.
Please let us know if you may find Argo useful for your project as well.
Regards,
Ed
we need add the Func:
get_result()
check_resule()
我们需要在本地安装测试gcs,请问如何单机安装使用k8s呀?
As what volcano-sh/volcano#1560 mentions, we request to migrate kubegene to volcano.sh as subproject and work on provide better integration.
/assign @SrinivasChilveri
Hi team,
There's a kubedag in kubegene for worklfow; as workflow/dag is a common requirement for batch workload, prefer to seperate kubedage to a standalone repo of volcano-sh.
If any comments, please let me know :)
-- k
Hi, as Cromwell is the well accepted bioinformatic pipeline organizer which supports different kinds of computing backend , like SGE, aws/aliyun batch computehttps://github.com/broadinstitute/cromwell/tree/541636734705b7d93321a31ac5817f96b275eb0f/docs/backends, many bioinformatic pipelines were written by cromwell.
So could you add Kubegene or kubernetes as a new computing backend on Cromwell?
how many cpu&men a tool can use, comes from workflow is enough
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