I have this pipeline configuration that I'm deploying using Azure Asset Bundles:
ingest-pipeline.test.yml
```
resources:
pipelines:
ingest-pipeline-test:
name: ingest-pipeline-test-2
clusters:
- label: default
node_type_id: Standard_D4ads_v5
autoscale:
min_workers: 1
max_workers: 2
mode: ENHANCED
libraries:
- notebook:
path: ../notebooks/Multi-table pipeline.py
target: test_bundle_project_${bundle.target}
continuous: true
development: true
catalog: test_databricks_premium
configuration:
bundle.sourcePath: ${workspace.file_path}/notebooks
```
The notebook is creating a couple of streaming tables (DLT). The YAML validates and deploys just fine and I can see my job under "Delta Live Tables". However, the deployed pipeline has mode "Triggered" and not "Continous". If I check the YAML of the deployed pipeline (by clicking the pipeline name in the Databricks UI, then the kebab menu next to "Development" and selecting "View settings YAML", I see that "continous: true" is gone (other than that the configuration is basically the same as my YAML file above). Is this a bug or am I configuring the job incorrectly? I actually looked at the settings YAML for another continous DLT job that I already had running in Databricks, which was created using the UI, so that's where I got the "continous: true" from.
