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Get the guideThe first step to using dbt with Materialize is to install the dbt-materialize plugin. This plugin is essential as it allows dbt to interact with Materialize, enabling you to build and run dbt models efficiently.
pip install dbt-materialize
The code above is a simple pip command to install the dbt-materialize plugin. Once executed, the plugin will be installed and ready for use.
After installing the dbt-materialize plugin, the next step is to create a dbt project. This project will serve as the foundation for your work with dbt and Materialize.
dbt init my_project
The code above initiates a new dbt project named 'my_project'. You can replace 'my_project' with the name of your choice.
Once you have a dbt project, the next step is to connect to Materialize. This connection will allow you to build and run your dbt models.
materialize://username:password@localhost:6875/my_db
The code above is a connection string for Materialize. Replace 'username', 'password', and 'my_db' with your Materialize credentials and database name.
With a dbt project and a connection to Materialize, you can now build and run dbt models. These models will help you transform your data in Materialize.
dbt run
The code above runs all models in your dbt project. This command will execute the SQL statements in your model files, transforming your data as specified.
After building and running your dbt models, you might need to configure dbt-materialize. This configuration can include installing the adapter, connecting to your instance, and setting up materializations.
pip install dbt-materialize
materialize://username:password@localhost:6875/my_db
config(materialized='table_with_connector')
The code above first installs the dbt-materialize adapter, then connects to Materialize, and finally sets up a materialization. Replace 'username', 'password', and 'my_db' with your Materialize credentials and database name, and 'table_with_connector' with your desired materialization.
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