Error Failed To Download Helm Charts

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Jacalyn Loston

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Dec 30, 2023, 2:29:05 AM12/30/23
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[EFAULT] Failed to install chart release: Error: INSTALLATION FAILED: rendered manifests contain a resource that already exists. Unable to continue with install: CustomResourceDefinition "backups.postgresql.cnpg.io" in namespace "" exists and cannot be imported into the current release: invalid ownership metadata; label validation error: missing key "app.kubernetes.io/managed-by": must be set to "Helm"; annotation validation error: missing key "meta.helm.sh/release-name": must be set to "cloudnative-pg"; annotation validation error: missing key "meta.helm.sh/release-namespace": must be set to "ix-cloudnative-pg"
Installing the helm chart result in the following error message:
Error: INSTALLATION FAILED: failed to download "Squidex/squidex"
The reason for that is that -1.2.0.tgz is not available but referenced in squidex/index.yaml at master (line 27). I think this link should contain the version 1.3.0 (like line 28)
error failed to download helm charts
Checking Postgres status
psql: error: could not translate host name "postgres-postgresql-ha-pgpool" to address: Name does not resolve
command terminated with exit code 2 [210712-185234] WARNING: Attempt 1 failed! Trying again
[210712-185624] ERROR: Unable to connect to PostgreSQL - postgres-postgresql-ha-pgpool:postgres
Exiting...
[210712-185624] ERROR: Failed to deploy infra service(s).
I did a bit more testing. I think the CRD issue only happens if I uninstall the consul helm chart and my custom chart (which uses consul CRDs) at the same time. After both charts are uninstalled the existing consul CRDS are not properly cleaned up and then when reinstall first the consul chart and then my chart I get following errors:
This error means the extension name you specified already exists. If the name is used by Azure Machine Learning extension, you need to wait for about an hour and try again. If the name is used by other helm charts, you need to use another name. Run helm list -Aa to list all helm charts in your cluster.
When the installation failed and didn't hit any of the above error messages, you can use the built-in health check job to make a comprehensive check on the extension. Azure machine learning extension contains a HealthCheck job to precheck your cluster readiness when you try to install, update or delete the extension. The HealthCheck job outputs a report, which is saved in a configmap named arcml-healthcheck in azureml namespace. The error codes and possible solutions for the report are listed in Error Code of HealthCheck.
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