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In order to connect DuckDB with dbt Developer Hub, the first step is to install the dbt-duckdb adapter. This can be done using the pip3 install command in your terminal or command prompt.
pip3 install dbt-duckdb
This command installs the dbt-duckdb adapter which is necessary for the connection between DuckDB and dbt Developer Hub. The pip3 command is a package installer for Python.
Once the dbt-duckdb adapter is installed, the next step is to configure your profile. A minimal profile only needs one setting: default: outputs: dev: type: duckdb target: dev.
default:
outputs:
dev:
type: duckdb
target: dev
This configuration is necessary to set up the connection between your development environment and DuckDB. The 'type' field should be set to 'duckdb' and the 'target' field should be set to 'dev'.
After configuring your profile, you can attach additional databases to DuckDB. This can be done using dbt run hooks or the attach argument in your profile.
dbt run --models my_model
attach 'my_database'
The 'dbt run' command is used to run your models, and the 'attach' argument is used to attach additional databases to your DuckDB setup. 'my_model' and 'my_database' should be replaced with the names of your actual model and database.
The only configuration parameter that is required in your profile is the path field. This should refer to a path on your local filesystem where you would like the DuckDB database file (and its associated write-ahead log) to be written.
path: /path/to/your/database
The 'path' field in your profile configuration should be set to the location on your local filesystem where you want your DuckDB database file and its associated write-ahead log to be written.
You can use dbt and DuckDB together to harness the power of analytical databases built for speed and efficiency. dbt's in-memory processing capabilities can enable faster data transformation and analytics.
dbt run
The 'dbt run' command is used to execute your models in dbt, enabling faster data transformation and analytics when used in conjunction with DuckDB.