vineeth
07/03/2025, 10:10 AMMarvin
07/03/2025, 10:11 AMMarvin
07/03/2025, 10:11 AMbaseJobTemplate
structure is generally correct, but there are a few things to note and potential improvements:
1. The image URL in your configuration contains an invalid format:
yaml
"image": "<http://mmcdevaksreg.azurecr.io/mmc_updb_data_marts:20240712.7|mmcdevaksreg.azurecr.io/mmc_updb_data_marts:20240712.7>"
Should be simply:
yaml
"image": "<http://mmcdevaksreg.azurecr.io/mmc_updb_data_marts:20240712.7|mmcdevaksreg.azurecr.io/mmc_updb_data_marts:20240712.7>"
2. You might want to consider adding resource limits and requests:
yaml
"resources": {
"requests": {
"cpu": "100m",
"memory": "128Mi"
},
"limits": {
"cpu": "500m",
"memory": "512Mi"
}
}
3. Consider adding imagePullPolicy
if working with private registries:
yaml
"imagePullPolicy": "Always"
4. The overall structure with your environment variables using configMapKeyRef
and secretKeyRef
is correct and follows best practices for Kubernetes secret management.
Here's a cleaner way to format the YAML:
yaml
baseJobTemplate:
configuration: |
{
"apiVersion": "batch/v1",
"kind": "Job",
"metadata": {
"labels": {
"app": "prefect-worker"
}
},
"spec": {
"template": {
"spec": {
"containers": [
{
"name": "prefect-worker",
"image": "<http://mmcdevaksreg.azurecr.io/mmc_updb_data_marts:20240712.7|mmcdevaksreg.azurecr.io/mmc_updb_data_marts:20240712.7>",
"imagePullPolicy": "Always",
"env": [
# Your existing env vars are correct
]
}
],
"restartPolicy": "Never"
}
}
}
}
The structure you're using is valid for a Kubernetes work pool configuration, but make sure to:
1. Fix the image URL format
2. Consider adding resource limits/requests
3. Add imagePullPolicy
if needed
4. Ensure proper indentation in your YAML file
These configurations will be used as a template for all jobs spawned by this work pool, so it's important to get the structure right.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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