About dbt init command
dbt init
helps get you started using dbt Core!
New project
If this is your first time ever using the tool, it will:
- ask you to name your project
- ask you which database adapter you're using (or to Supported Data Platforms)
- prompt you for each piece of information that dbt needs to connect to that database: things like
account
,user
,password
, etc
Then, it will:
- Create a new folder with your project name and sample files, enough to get you started with dbt
- Create a connection profile on your local machine. The default location is
~/.dbt/profiles.yml
. Read more in configuring your profile.
Existing project
If you've just cloned or downloaded an existing dbt project, dbt init
can still help you set up your connection profile so that you can start working quickly. It will prompt you for connection information, as above, and add a profile (using the profile
name from the project) to your local profiles.yml
, or create the file if it doesn't already exist.
profile_template.yml
dbt init
knows how to prompt for connection information by looking for a file named profile_template.yml
. It will look for this file in two places:
-
Adapter plugin: What's the bare minumum Postgres profile? What's the type of each field, what are its defaults? This information is stored in a file called
dbt/include/postgres/profile_template.yml
. If you're the maintainer of an adapter plugin, we highly recommend that you add aprofile_template.yml
to your plugin, too. Refer to the Build, test, document, and promote adapters guide for more information. -
Existing project: If you're the maintainer of an existing project, and you want to help new users get connected to your database quickly and easily, you can include your own custom
profile_template.yml
in the root of your project, alongsidedbt_project.yml
. For common connection attributes, set the values infixed
; leave user-specific attributes inprompts
, but with custom hints and defaults as you'd like.
fixed:
account: abc123
authenticator: externalbrowser
database: analytics
role: transformer
type: snowflake
warehouse: transforming
prompts:
target:
type: string
hint: your desired target name
user:
type: string
hint: yourname@jaffleshop.com
schema:
type: string
hint: usually dbt_<yourname>
threads:
hint: "your favorite number, 1-10"
type: int
default: 8
$ dbt init
Running with dbt=1.0.0
Setting up your profile.
user (yourname@jaffleshop.com): summerintern@jaffleshop.com
schema (usually dbt_<yourname>): dbt_summerintern
threads (your favorite number, 1-10) [8]: 6
Profile internal-snowflake written to /Users/intern/.dbt/profiles.yml using project's profile_template.yml and your supplied values. Run 'dbt debug' to validate the connection.