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>>> musterr [CLI] bundle destroy --auto-approve
Error: exit status 1
Error: Instance cannot be destroyed
on bundle.tf.json line 15, in resource.databricks_pipeline:
15: "my_pipelines": {
Resource databricks_pipeline.my_pipelines has lifecycle.prevent_destroy set,
but the plan calls for this resource to be destroyed. To avoid this error and
continue with the plan, either disable lifecycle.prevent_destroy or reduce
the scope of the plan using the -target flag.
Error: Instance cannot be destroyed
on bundle.tf.json line 38, in resource.databricks_schema:
38: "my_schema": {
Resource databricks_schema.my_schema has lifecycle.prevent_destroy set, but
the plan calls for this resource to be destroyed. To avoid this error and
continue with the plan, either disable lifecycle.prevent_destroy or reduce
the scope of the plan using the -target flag.
>>> errcode [CLI] bundle plan
Error: exit status 1
Error: Instance cannot be destroyed
on bundle.tf.json line 15, in resource.databricks_pipeline:
15: "my_pipelines": {
Resource databricks_pipeline.my_pipelines has lifecycle.prevent_destroy set,
but the plan calls for this resource to be destroyed. To avoid this error and
continue with the plan, either disable lifecycle.prevent_destroy or reduce
the scope of the plan using the -target flag.
Exit code: 1
>>> musterr [CLI] bundle deploy
Uploading bundle files to /Workspace/Users/[USERNAME]/.bundle/prevent-destroy/default/files...
Error: exit status 1
Error: Instance cannot be destroyed
on bundle.tf.json line 15, in resource.databricks_pipeline:
15: "my_pipelines": {
Resource databricks_pipeline.my_pipelines has lifecycle.prevent_destroy set,
but the plan calls for this resource to be destroyed. To avoid this error and
continue with the plan, either disable lifecycle.prevent_destroy or reduce
the scope of the plan using the -target flag.
>>> errcode [CLI] bundle plan
Error: exit status 1
Error: Instance cannot be destroyed
on bundle.tf.json line 15, in resource.databricks_pipeline:
15: "my_pipelines": {
Resource databricks_pipeline.my_pipelines has lifecycle.prevent_destroy set,
but the plan calls for this resource to be destroyed. To avoid this error and
continue with the plan, either disable lifecycle.prevent_destroy or reduce
the scope of the plan using the -target flag.
Error: Instance cannot be destroyed
on bundle.tf.json line 38, in resource.databricks_schema:
38: "my_schema": {
Resource databricks_schema.my_schema has lifecycle.prevent_destroy set, but
the plan calls for this resource to be destroyed. To avoid this error and
continue with the plan, either disable lifecycle.prevent_destroy or reduce
the scope of the plan using the -target flag.
Exit code: 1
>>> musterr [CLI] bundle deploy
Uploading bundle files to /Workspace/Users/[USERNAME]/.bundle/prevent-destroy/default/files...
Error: exit status 1
Error: Instance cannot be destroyed
on bundle.tf.json line 15, in resource.databricks_pipeline:
15: "my_pipelines": {
Resource databricks_pipeline.my_pipelines has lifecycle.prevent_destroy set,
but the plan calls for this resource to be destroyed. To avoid this error and
continue with the plan, either disable lifecycle.prevent_destroy or reduce
the scope of the plan using the -target flag.
Error: Instance cannot be destroyed
on bundle.tf.json line 38, in resource.databricks_schema:
38: "my_schema": {
Resource databricks_schema.my_schema has lifecycle.prevent_destroy set, but
the plan calls for this resource to be destroyed. To avoid this error and
continue with the plan, either disable lifecycle.prevent_destroy or reduce
the scope of the plan using the -target flag.
>>> errcode [CLI] bundle plan
recreate pipelines.my_pipelines
recreate schemas.my_schema
Plan: 2 to add, 0 to change, 2 to delete, 0 unchanged
>>> [CLI] bundle deploy --auto-approve
Uploading bundle files to /Workspace/Users/[USERNAME]/.bundle/prevent-destroy/default/files...
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:
recreate resources.pipelines.my_pipelines
This action will result in the deletion or recreation of the following UC schemas along with all the tables and views they contain:
recreate resources.schemas.my_schema
Deploying resources...
Updating deployment state...
Deployment complete!
>>> errcode [CLI] bundle plan
delete pipelines.my_pipelines
delete schemas.my_schema
Plan: 0 to add, 0 to change, 2 to delete, 0 unchanged
>>> [CLI] bundle deploy --auto-approve
Uploading bundle files to /Workspace/Users/[USERNAME]/.bundle/prevent-destroy/default/files...
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_pipelines
This action will result in the deletion or recreation of the following UC schemas along with all the tables and views they contain:
delete resources.schemas.my_schema
Deploying resources...
Updating deployment state...
Deployment complete!