PowerBI Task DAB deployment fails if table does not exist
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 48/100
Research direction
Start with the asset bundle definition and run databricks bundle deploy using a referenced table that does not yet exist. Inspect the generated bundle.tf.json resource and the Terraform apply error to trace the PowerBI task validation. Done means deployment succeeds before the table exists, while the later pipeline run can create it.
Written by the indexing model from the issue text.
Description
Describe the issue
When deploying a PowerBI Task the asset bundles validates if the table we plan to push to PowerBI exists. While this check makes sense for incremental workflows for the initial deployment of the job this is not useful since the table first has to be created by the job which is firstly deployed to production.
Configuration
Create a PowerBI task via DAB and reference a table that does not yet exists. If I want to deploy this asset bundle it will fail because the table for the PowerBI Task does not yet exits.
Steps to reproduce the behavior
- Create a asset bundle definition with a PowerBI Task
- Reference a Table that does not yet exists.
- Run
databricks bundle deploy
Expected Behavior
Pipeline will be deployed even those table does not yet exists. Since it will be created during the pipline run. Since we have a dbt task running before the PowerBI task.
Actual Behavior
Deployment fails because table does not exist during deployment time but will exist during run time of the pipeline.
OS and CLI version
Windwos
Databricks CLI v0.272.0
Is this a regression?
I don't know tried this the first time.
Debug Logs
Deploying resources...
11:06:06 Debug: Apply pid=12544 mutator=terraform.Apply
Error: terraform apply: exit status 1
Error: cannot update job: 'Run as' user is missing permissions: USE CATALOG on catalog tindp_bi_dev, USE SCHEMA on schema dev_mart or SELECT on table some_insights__obt_viral_alerts
with databricks_job.some_insights__transform_hourly,
on bundle.tf.json line 183, in resource.databricks_job.some_insights__transform_hourly:
183: },
- Dominant language
- Go
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- Avg merge
- 2d 1h
- Merged PRs (30d)
- 233
Getting set up
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First steps
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- Open a pull request that references the issue number.
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