![]() export ( dbt_path, mb_host, mb_user, mb_password, database, schema ) Code of ConductĪll contributors are expected to follow the PyPA Code of Conduct. But if you prefer to call it from your code, here’s how to do it: import dbtmetabase dbtmetabase. sync_timeout - number of seconds to wait and re-check data model beforeĪs you have already seen, you can invoke dbt-metabase from the command sync - boolean to enable or disable pre-synchronization You can control this behavior with two arguments: The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: - metabase/core.clj at master metabase/metabase. Database Syncīy default, dbt-metabase will tell Metabase to synchronize database fieldsĪnd wait for the data model to contain all the tables and columns in your dbt If you notice new ones, please submit a PR to update this readme. Retired (supported but not reflected in the UI) Hidden (supported but not reflected in the UI) Here are the visibility types supported by Metabase: meta : metabase.special_type : type/Email metabase.visibility_type : sensitive Here is how you would hide that same email: - name : email description : User's email address. This affects whether or not they are displayed in the Metabase UI. In addition to special types, you can optionally specify visibility for eachįield. Here is the list of special types currently accepted by Metabase: Once you run dbt-metabase export again, you will notice that EMAIL is meta : metabase.special_type : type/Email ![]() Now that we have primary and foreign keys, let’s tell Metabase that emailĬhange the email column as follows: - name : email description : User's email address. GROUP_ID is marked as “Foreign Key” pointing to ID in STG_GROUPS. Will notice that ID in STG_USERS is now marked as “Entity Key” and dbt-metabase export \Ĭheck your Metabase instance by going into Settings > Admin > Data Model, you That’s already enough to propagate the primary keys, foreign keys andĭescriptions to Metabase by executing the below command. After the service is started, Metabase server will listen on port 3000 by default. To check the status, use: sudo systemctl status metabase Step 5: Access Metabase Web User Interface. tests : - not_null - unique - name : name description : Group name. sudo systemctl start rvice sudo systemctl enable rvice. columns : - name : id description : Primary key. tests : - not_null - relationships : to : ref('groups') field : id - name : stg_groups description : User groups. name : group_id description : Foreign key to user group. tests : - not_null - unique - name : email description : User's email address. ![]() models : - name : stg_users description : User records. Let’s start by defining a short sample schema.yml as below. You can install dbt-metabase from PyPI: pip install dbt-metabase Basic Example Your analytics tool, dbt-metabase can propagate table relationships, model andĬolumn descriptions and special types (e.g. If dbt is your source of truth for database schemas and you use Metabase as Model synchronization from dbt to Metabase.
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