## Changes
Now it's possible to configure new `app` resource in bundle and point it
to the custom `source_code_path` location where Databricks App code is
defined.
On `databricks bundle deploy` DABs will create an app. All consecutive
`databricks bundle deploy` execution will update an existing app if
there are any updated
On `databricks bundle run <my_app>` DABs will execute app deployment. If
the app is not started yet, it will start the app first.
### Bundle configuration
```
bundle:
name: apps
variables:
my_job_id:
description: "ID of job to run app"
lookup:
job: "My Job"
databricks_name:
description: "Name for app user"
additional_flags:
description: "Additional flags to run command app"
default: ""
my_app_config:
type: complex
description: "Configuration for my Databricks App"
default:
command:
- flask
- --app
- hello
- run
- ${var.additional_flags}
env:
- name: DATABRICKS_NAME
value: ${var.databricks_name}
resources:
apps:
my_app:
name: "anester-app" # required and has to be unique
description: "My App"
source_code_path: ./app # required and points to location of app code
config: ${var.my_app_config}
resources:
- name: "my-job"
description: "A job for app to be able to run"
job:
id: ${var.my_job_id}
permission: "CAN_MANAGE_RUN"
permissions:
- user_name: "foo@bar.com"
level: "CAN_VIEW"
- service_principal_name: "my_sp"
level: "CAN_MANAGE"
targets:
dev:
variables:
databricks_name: "Andrew (from dev)"
additional_flags: --debug
prod:
variables:
databricks_name: "Andrew (from prod)"
```
### Execution
1. `databricks bundle deploy -t dev`
2. `databricks bundle run my_app -t dev`
**If app is started**
```
✓ Getting the status of the app my-app
✓ App is in RUNNING state
✓ Preparing source code for new app deployment.
✓ Deployment is pending
✓ Starting app with command: flask --app hello run --debug
✓ App started successfully
You can access the app at <app-url>
```
**If app is not started**
```
✓ Getting the status of the app my-app
✓ App is in UNAVAILABLE state
✓ Starting the app my-app
✓ App is starting...
....
✓ App is starting...
✓ App is started!
✓ Preparing source code for new app deployment.
✓ Downloading source code from /Workspace/Users/...
✓ Starting app with command: flask --app hello run --debug
✓ App started successfully
You can access the app at <app-url>
```
## Tests
Added unit and config tests + manual test.
```
--- PASS: TestAccDeployBundleWithApp (404.59s)
PASS
coverage: 36.8% of statements in ./...
ok github.com/databricks/cli/internal/bundle 405.035s coverage: 36.8% of statements in ./...
```
## Changes
This change adds the `databricks bundle generate dashboard` command.
The command requires one of three flags:
* `--existing-id` to generate configuration for an existing dashboard by
its ID.
* `--existing-path` to generate configuration for an existing dashboard
by its path in the workspace file system.
* `--resource` to generate the `.lvdash.json` dashboard file for a
dashboard that's already defined in the bundle. This option does not
impact the YAML configuration.
A typical workflow could look like this:
1. Use the command with `--existing-id` or `--existing-path` for a
starting point
2. Run `bundle deploy` to deploy a copy of the dashboard
3. Run `bundle open` to open this copy in your browser
4. Navigate to the draft mode and make modifications
5. Run `bundle generate dashboard` with `--resource` to update the local
`.lvdash.json` file with the remote modifications
## Tests
* Unit tests.
* Manual walkthrough as documented in the [Dashboard for NYC Taxi Trip
Analysis
example](https://github.com/databricks/bundle-examples/tree/main/knowledge_base/dashboard_nyc_taxi).
## Changes
The function signature of Cobra's `PreRunE` function has an `error`
return value. We'd like to start returning `diag.Diagnostics` after
loading a bundle, so this is incompatible. This change modifies all
usage of `PreRunE` to load a bundle to inline function calls in the
command's `RunE` function.
## Tests
* Unit tests pass.
* Integration tests pass.
## Changes
Added `bundle deployment bind` and `unbind` command.
This command allows to bind bundle-defined resources to existing
resources in Databricks workspace so they become DABs-managed.
## Tests
Manually + added E2E test
## Changes
Now it's possible to generate bundle configuration for existing job.
For now it only supports jobs with notebook tasks.
It will download notebooks referenced in the job tasks and generate
bundle YAML config for this job which can be included in larger bundle.
## Tests
Running command manually
Example of generated config
```
resources:
jobs:
job_128737545467921:
name: Notebook job
format: MULTI_TASK
tasks:
- task_key: as_notebook
existing_cluster_id: 0704-xxxxxx-yyyyyyy
notebook_task:
base_parameters:
bundle_root: /Users/andrew.nester@databricks.com/.bundle/job_with_module_imports/development/files
notebook_path: ./entry_notebook.py
source: WORKSPACE
run_if: ALL_SUCCESS
max_concurrent_runs: 1
```
## Tests
Manual (on our last 100 jobs) + added end-to-end test
```
--- PASS: TestAccGenerateFromExistingJobAndDeploy (50.91s)
PASS
coverage: 61.5% of statements in ./...
ok github.com/databricks/cli/internal/bundle 51.209s coverage: 61.5% of
statements in ./...
```
Andrew Nester
Pieter Noordhuis