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Uploading bundle files to /Workspace/Users/[USERNAME]/.bundle/test-bundle-[UNIQUE_NAME]/default/files...
Deploying resources...
Updating deployment state...
Deployment complete!
=== Modify pipeline fields remotely
=== Detect and save changes
Detected changes in 1 resource(s):
Resource: resources.pipelines.my_pipeline
configuration['key2']: add
environment.dependencies: replace
notifications[0].alerts: replace
notifications[0].email_recipients: replace
root_path: add
schema: replace
tags['foo']: add
=== Configuration changes
>>> diff.py databricks.yml.backup databricks.yml
--- databricks.yml.backup
+++ databricks.yml
@@ -7,18 +7,25 @@
name: test-pipeline-[UNIQUE_NAME]
catalog: main
- schema: default
+ schema: prod
configuration:
key1: value1
+ key2: value2
notifications:
- email_recipients:
- success@example.com
+ - admin@example.com
alerts:
- on-update-success
+ - on-update-failure
environment:
dependencies:
- --editable /Workspace/foo
+ - --editable /Workspace/bar
libraries:
- notebook:
path: /Users/{{workspace_user_name}}/notebook
+ tags:
+ foo: bar
+ root_path: ./pipeline_root
targets:
>>> [CLI] bundle destroy --auto-approve
The following resources will be deleted:
delete resources.pipelines.my_pipeline
This action will result in the deletion or recreation of the following Lakeflow Spark Declarative Pipelines along with the Streaming Tables (STs) and Materialized Views (MVs) managed by them:
delete resources.pipelines.my_pipeline
All files and directories at the following location will be deleted: /Workspace/Users/[USERNAME]/.bundle/test-bundle-[UNIQUE_NAME]/default
Deleting files...
Destroy complete!