09-14-2023 10:40 AM
Do Databrick Asset Bundles support run_job_task tasks?
I've made various attempts to add a run_job_task with a specified job_id. See my the code_snippet below. I tried substituting the job_id using ${...} syntax, as well as three other ways which I've commented out. I've tried to pass the id as both a string and an int.
When I pass a string, it returns: "error unmarshaling JSON: json: cannot unmarshal string into Go struct field RunJobTask.resources.jobs.tasks.run_job_task.job_id of type int."
When I pass an int, it returns "Error: cannot create job: Job 0 does not exist." However, the when I pass the int bundle validate does succeed.
resources:
jobs:
product_dimension_template:
name: "Product Dimension Template"
tasks:
- task_key: product_dimension
notebook_task:
notebook_path: ./app/product_dim.py
existing_cluster_id: 0723-185453-mypxim3x # tr_compute_autoscale
tags:
product: FCOE_measure_prototype
product_dimension_ACDS_product_div:
name: "Product Dimension - ACDS Product Div"
tasks:
- task_key: product_dimension_ACDS_product_div
run_job_task:
job_id: ${resources.jobs.product_dimension_template.id}
# job_id: "${resources.jobs.product_dimension_template.id}"
# job_id: "1032011550656546"
# job_id: 1032011550656546
notebook_params:
product_dim_source": ACDS_product_div
product_dim_source_path": ${var.ACDS_product_div_path}
product_dim_checkpoint_path": ${var.ACDS_product_div_checkpoint_path}
product_dim_table_path": ${var.product_dim_table_path}
tags:
product: FCOE_measure_prototype
09-15-2023 07:31 AM
Hi @TimReddick ,
- Databricks Asset Bundles support run_job_task
tasks
- There might be an issue with passing the job_id
value correctly
- Suggestions to resolve the issue:
job_id
is a valid integer value and the job exists in the Databricks workspace
${resources.jobs.product_dimension_template.job_id}
instead of ${resources.jobs.product_dimension_template.id}
job_id
is passed as an integer value, not a string (remove double quotes)
- Updated code snippet with suggested changes provided
09-18-2023 04:26 AM - edited 09-18-2023 04:28 AM
Hi, thanks for the response! I've tried your suggestions, but I'm still having issues. The job for product_dimension_template definitely exists. It was deployed via the same DAB in which I'm trying to define the `run_job_task`.
I tried two different things for testing:
product_dimension_ACDS_product_div:
name: "Product Dimension - ACDS Product Div"
tasks:
- task_key: product_dimension_ACDS_product_div
run_job_task:
job_id: 892367837319872
product_dimension_ACDS_product_div:
name: "Product Dimension - ACDS Product Div"
tasks:
- task_key: product_dimension_ACDS_product_div
run_job_task:
job_id: ${resources.jobs.product_dimension_template.job_id}
Starting resource deployment
Error: terraform apply: exit status 1
Error: cannot create job: Job 0 does not exist.
with databricks_job.product_dimension_ACDS_product_div,
on bundle.tf.json line 79, in resource.databricks_job.product_dimension_ACDS_product_div:
79: },
Error: failed to load /Users/t574461/code_saas/fcoe_measure_prototype/conf/bundle.product_dim.yml: error unmarshaling JSON: json: cannot unmarshal string into Go struct field RunJobTask.resources.jobs.tasks.run_job_task.job_id of type int
In one case, it's inferring the job_id as 0 for some reason, and in the other it seems `${resources.jobs.product_dimension_template.job_id}` returns a string when it expects an int.
09-28-2023 03:59 AM
Have you been able to resolve this issue? I'm facing the same issue.
09-28-2023 04:39 AM
Hi, no I haven't resolved yet. I was hoping to hear back from @Kaniz. This will be a great feature for us if we can get passed this obstacle with the DAB.
10-11-2023 11:12 AM
We are having the exact same issue and this is a blocker for us deploying using asset bundles.
10-11-2023 12:56 PM
Ah, I see it is a known bug in the Databricks CLI: Asset bundle run_job_task fails · Issue #812 · databricks/cli (github.com). Anyone facing this issue should comment on and keep an eye on that ticket for resolution.
10-11-2023 01:10 PM
Thanks for point me to this @kyle_r! Good to know they're aware of it and working on a solution.
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