dbt™ Commands

Streamline your dbt™ pipeline execution with Paradime Bolt: automate dependencies, orchestrate multiple commands, and configure warehouse connections for efficient workflows.

Overview

Paradime Bolt streamlines dbt™ workflow management by executing and orchestrating dbt™ commands. With Bolt, you can efficiently manage your dbt™ projects and ensure smooth execution of your data transformation pipelines.

For a comprehensive guide on dbt™ commands, selectors and graph operators, check our Mastering the dbt™ CLI in our dbt™ fundamentals.

Automatic Dependency Installation

Paradime Bolt automatically includes the dbt deps command in every Bolt run invocation. This means that you don't need to explicitly add the dbt deps command to the Commands list in your commands settings. Bolt takes care of installing the necessary dependencies for your dbt™ project, saving you time and effort.

How to Write and Configure Commands

Basic Commands: Specify the primary command, such as dbt run or edr monitor, to perform data transformations or observability checks.

Multiple commands: you can have one ore more commands in an given schedule, by simply define the commands each in a separate line or save multiple dbt™ commands block.

dbt seed
dbt run --select +orders
dbt test

Use of target to point to different data warehouse connections:

• Default Connection: Paradime uses the Scheduler Environment default connection for executing runs.

• Alternative Connections: To use a different connection in your Scheduler Environment, apply the --target flag to specify an alternative connection, such as staging or ci (e.g., dbt run --target ci).

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Now, let's learn how to configure the Trigger Types of a Bolt Schedule.