mirror of https://github.com/databricks/cli.git
42 lines
2.3 KiB
Plaintext
42 lines
2.3 KiB
Plaintext
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>>> [CLI] bundle init default-python --config-file ./input.json --output-dir output
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Welcome to the default Python template for Databricks Asset Bundles!
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Warn: Failed to detect if serverless is supported: /api/2.0/settings-api/workspace/900800700600/serverless_job_nb failed: Internal Server Error
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Workspace to use (auto-detected, edit in 'my_default_python/databricks.yml'): [DATABRICKS_URL]
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✨ Your new project has been created in the 'my_default_python' directory!
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Please refer to the README.md file for "getting started" instructions.
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See also the documentation at https://docs.databricks.com/dev-tools/bundles/index.html.
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--- [TESTROOT]/bundle/templates/default-python/serverless-auto-error/../classic/output/my_default_python/README.md
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+++ output/my_default_python/README.md
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@@ -38,8 +38,10 @@
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$ databricks bundle run
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```
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-
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-6. Optionally, install developer tools such as the Databricks extension for Visual Studio Code from
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- https://docs.databricks.com/dev-tools/vscode-ext.html. Or read the "getting started" documentation for
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- **Databricks Connect** for instructions on running the included Python code from a different IDE.
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+6. Optionally, install the Databricks extension for Visual Studio code for local development from
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+ https://docs.databricks.com/dev-tools/vscode-ext.html. It can configure your
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+ virtual environment and setup Databricks Connect for running unit tests locally.
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+ When not using these tools, consult your development environment's documentation
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+ and/or the documentation for Databricks Connect for manually setting up your environment
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+ (https://docs.databricks.com/en/dev-tools/databricks-connect/python/index.html).
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7. For documentation on the Databricks asset bundles format used
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--- [TESTROOT]/bundle/templates/default-python/serverless-auto-error/../classic/output/my_default_python/databricks.yml
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+++ output/my_default_python/databricks.yml
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@@ -23,9 +23,7 @@
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workspace:
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host: [DATABRICKS_URL]
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- # We explicitly specify /Workspace/Users/[USERNAME] to make sure we only have a single copy.
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+ # We explicitly deploy to /Workspace/Users/[USERNAME] to make sure we only have a single copy.
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root_path: /Workspace/Users/[USERNAME]/.bundle/${bundle.name}/${bundle.target}
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permissions:
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- user_name: [USERNAME]
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level: CAN_MANAGE
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- run_as:
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- user_name: [USERNAME]
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