mirror of https://github.com/databricks/cli.git
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## Changes Group bundle run flags by job and pipeline types ## Tests ``` Run a resource (e.g. a job or a pipeline) Usage: databricks bundle run [flags] KEY Job Flags: --dbt-commands strings A list of commands to execute for jobs with DBT tasks. --jar-params strings A list of parameters for jobs with Spark JAR tasks. --notebook-params stringToString A map from keys to values for jobs with notebook tasks. (default []) --params stringToString comma separated k=v pairs for job parameters (default []) --pipeline-params stringToString A map from keys to values for jobs with pipeline tasks. (default []) --python-named-params stringToString A map from keys to values for jobs with Python wheel tasks. (default []) --python-params strings A list of parameters for jobs with Python tasks. --spark-submit-params strings A list of parameters for jobs with Spark submit tasks. --sql-params stringToString A map from keys to values for jobs with SQL tasks. (default []) Pipeline Flags: --full-refresh strings List of tables to reset and recompute. --full-refresh-all Perform a full graph reset and recompute. --refresh strings List of tables to update. --refresh-all Perform a full graph update. Flags: -h, --help help for run --no-wait Don't wait for the run to complete. Global Flags: --debug enable debug logging -o, --output type output type: text or json (default text) -p, --profile string ~/.databrickscfg profile -t, --target string bundle target to use (if applicable) --var strings set values for variables defined in bundle config. Example: --var="foo=bar" ``` |
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README.md
Databricks CLI
This project is in Public Preview.
Documentation about the full REST API coverage is available in the docs folder.
Documentation is available at https://docs.databricks.com/dev-tools/cli/databricks-cli.html.
Installation
This CLI is packaged as a dependency-free binary executable and may be located in any directory. See https://github.com/databricks/cli/releases for releases and the docs pages for installation instructions.
Authentication
This CLI follows the Databricks Unified Authentication principles.
You can find a detailed description at https://github.com/databricks/databricks-sdk-go#authentication.