mirror of https://github.com/databricks/cli.git
Improve default template (#1046)
## Changes - Tweak strings, documentation in template - Extend requirements-dev.txt with setuptools/wheel for building whl files - Clarify what the "_job.yml" file is for for users who are only interested in DLT pipelines (answering a question that came up recently) ## Tests Existing tests exercise this template
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{
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"welcome_message": "\nWelcome to the sample Databricks Asset Bundle template! Please enter the following information to initialize your sample DAB.\n",
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"welcome_message": "\nWelcome to the default Python template for Databricks Asset Bundles!",
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"properties": {
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"project_name": {
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"type": "string",
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"default": "my_project",
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"description": "Unique name for this project",
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"description": "Please provide the following details to tailor the template to your preferences.\n\nUnique name for this project",
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"order": 1,
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"pattern": "^[A-Za-z0-9_]+$",
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"pattern_match_failure_message": "Name must consist of letters, numbers, and underscores."
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"order": 4
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}
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},
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"success_message": "\n✨ Your new project has been created in the '{{.project_name}}' directory!\n\nPlease refer to the README.md of your project for further instructions on getting started.\nOr read the documentation on Databricks Asset Bundles at https://docs.databricks.com/dev-tools/bundles/index.html."
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"success_message": "Workspace to use (auto-detected, edit in '{{.project_name}}/databricks.yml'): {{workspace_host}}\n\n✨ Your new project has been created in the '{{.project_name}}' directory!\n\nPlease refer to the README.md file for \"getting started\" instructions.\nSee also the documentation at https://docs.databricks.com/dev-tools/bundles/index.html."
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}
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.databricks/
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build/
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dist/
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@ -28,7 +28,7 @@ The '{{.project_name}}' project was generated by using the default-python templa
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$ databricks bundle deploy --target prod
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```
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5. To run a job or pipeline, use the "run" comand:
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5. To run a job or pipeline, use the "run" command:
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```
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$ databricks bundle run
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```
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- resources/*.yml
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targets:
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# The 'dev' target, used for development purposes.
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# Whenever a developer deploys using 'dev', they get their own copy.
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# The 'dev' target, for development purposes. This target is the default.
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dev:
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# We use 'mode: development' to make sure everything deployed to this target gets a prefix
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# like '[dev my_user_name]'. Setting this mode also disables any schedules and
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# automatic triggers for jobs and enables the 'development' mode for Delta Live Tables pipelines.
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# We use 'mode: development' to indicate this is a personal development copy:
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# - Deployed resources get prefixed with '[dev my_user_name]'
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# - Any job schedules and triggers are paused by default
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# - The 'development' mode is used for Delta Live Tables pipelines
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mode: development
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default: true
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workspace:
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host: {{workspace_host}}
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# Optionally, there could be a 'staging' target here.
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# (See Databricks docs on CI/CD at https://docs.databricks.com/dev-tools/bundles/index.html.)
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## Optionally, there could be a 'staging' target here.
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## (See Databricks docs on CI/CD at https://docs.databricks.com/dev-tools/bundles/index.html.)
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#
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# staging:
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# workspace:
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# The 'prod' target, used for production deployment.
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prod:
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# For production deployments, we only have a single copy, so we override the
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# workspace.root_path default of
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# /Users/${workspace.current_user.userName}/.bundle/${bundle.target}/${bundle.name}
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# to a path that is not specific to the current user.
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{{- /*
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Explaining 'mode: production' isn't as pressing as explaining 'mode: development'.
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As we already talked about the other mode above, users can just
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look at documentation or ask the assistant about 'mode: production'.
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#
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# By making use of 'mode: production' we enable strict checks
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# to make sure we have correctly configured this target.
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*/}}
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# We use 'mode: production' to indicate this is a production deployment.
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# Doing so enables strict verification of the settings below.
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mode: production
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workspace:
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host: {{workspace_host}}
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# We only have a single deployment copy for production, so we use a shared path.
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root_path: /Shared/.bundle/prod/${bundle.name}
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{{- if not is_service_principal}}
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run_as:
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# This runs as {{user_name}} in production. Alternatively,
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# a service principal could be used here using service_principal_name
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# (see Databricks documentation).
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# This runs as {{user_name}} in production. We could also use a service principal here
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# using service_principal_name (see https://docs.databricks.com/dev-tools/bundles/permissions.html).
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user_name: {{user_name}}
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{{end -}}
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## pytest is the default package used for testing
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pytest
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## Dependencies for building wheel files
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setuptools
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wheel
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## databricks-connect can be used to run parts of this project locally.
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## See https://docs.databricks.com/dev-tools/databricks-connect.html.
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##
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# The main job for {{.project_name}}
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# The main job for {{.project_name}}.
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{{- /* Clarify what this job is for for DLT-only users. */}}
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{{if and (eq .include_dlt "yes") (and (eq .include_notebook "no") (eq .include_python "no")) -}}
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# This job runs {{.project_name}}_pipeline on a schedule.
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{{end -}}
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resources:
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jobs:
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{{.project_name}}_job:
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name: {{.project_name}}_job
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schedule:
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# Run every day at 8:37 AM
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quartz_cron_expression: '44 37 8 * * ?'
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timezone_id: Europe/Amsterdam
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