How our dbt models are exposed in BI which closes the loop between ELT, modelling, and consumption. Our models function with the addition of output name and location args. Exposure Extractionĭbt-metabase also allows us to extract exposures from Metabase. 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 models \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. tests : - not_null - unique - name : name description : Group name. 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. When invoking programmatically, click through to implementation and refer to header comments. Sections below demonstrate basic usage examples, for all CLI options: dbt-metabase -help You can install dbt-metabase from PyPI: pip install dbt-metabase Propagating table relationships represented as dbt relationships column testsĮxtracting dbt model exposures from Metabase and generating YAML files to be included and revisioned with your dbt deployment Propagating columns semantic types and visibility types to Metabase through the use of dbt meta fields Propagating columns description to Metabase Propagating table descriptions to Metabase ![]() Triggering a Metabase schema sync before propagating the metadata Parsing your dbt project (either through the manifest.json or directly through the YAML files) The main features provided by dbt-metabase are: Your analytics tool, dbt-metabase can propagate table relationships, model andĬolumn descriptions and semantic 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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