steve/databricks-cli
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databricks-cli
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databricks-cli/libs/template/templates/dbt-sql
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Lennart Kats be08585fb7
presets-catalog-schema-as-params # Your branch is ahead of 'origin/presets-catalog-schema-as-params' by 67 commits. # (use "git push" to publish your 
local commits) # # Changes to be committed: # modified:  dbt-sql/databricks_template_schema.json # modified:
default-python/databricks_template_schema.json # modified:  default-python/template/{{.project_name}}/databricks.yml.tmpl # modified:
default-python/template/{{.project_name}}/resources/{{.project_name}}.job.yml.tmpl # modified:
default-python/template/{{.project_name}}/resources/{{.project_name}}.pipeline.yml.tmpl # modified:
default-python/template/{{.project_name}}/scratch/exploration.ipynb.tmpl # modified:
default-python/template/{{.project_name}}/src/notebook.ipynb.tmpl # modified:
default-python/template/{{.project_name}}/src/{{.project_name}}/main.py.tmpl # modified:  default-sql/databricks_template_schema.json # # Untracked
files: # ../../../.cursorrules # ../../../bundle/config/resources/:tmp:tmp.py # ../../../delme.py # ../../../pr-cache-current-user-me #
../../../pr-cleanup-warnings.md # ../../../pr-contrib-templates.md # ../../../pr-cp-diag-ids-for-all.md # ../../../pr-cp-serverless-templates.md #
../../../pr-presets-catalog-schema-using-params.md # ../../../pr-update-sync-command-help.md #
Revert template changes for now
 		2024-12-20 16:59:18 +01:00
..
library Update templates to latest LTS DBR (#1715) 2024-08-30 07:32:10 +00:00
template Remove unused vscode settings in the templates (#2013) 2024-12-13 16:13:21 +00:00
README.md Add an experimental dbt-sql template (#1059) 2024-02-19 09:15:17 +00:00
databricks_template_schema.json presets-catalog-schema-as-params # Your branch is ahead of 'origin/presets-catalog-schema-as-params' by 67 commits. # (use "git push" to publish your 2024-12-20 16:59:18 +01:00

README.md

dbt template

This folder provides a template for using dbt-core with Databricks Asset Bundles. It leverages dbt-core for local development and relies on Databricks Asset Bundles for deployment (either manually or with CI/CD). In production, dbt is executed using Databricks Workflows.