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Metabase releases7/15/2023 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 Overall, this release of Metabase continues to improve the user experience and make it an even more powerful tool for data visualization and exploration.Model synchronization from dbt to Metabase. The new feature that informs admins of bad standing accounts is also a useful addition, as it helps ensure that administrators are aware of any potential issues with their accounts. With the updated Postgres driver, users can expect improved support for Postgres databases and better overall performance. ![]() Overall, Metabase v0.44.4 brings a number of important enhancements and bug fixes that will improve the stability and performance of the platform. A number of other issues, such as aggregation in models and changing filters on simple questions, have also been fixed. In addition to these enhancements, Metabase v0.44.4 includes a number of bug fixes, including issues with LDAP login, loading spinners in filters, and unfolding of JSON data in MySQL. This is useful for ensuring that administrators are aware of any issues with their accounts, such as expired passwords or disabled access. This update brings a number of performance improvements and bug fixes to Metabase's Postgres support.Īnother major enhancement in this release is the addition of a feature that informs admins if their account is in bad standing. One of the most notable enhancements in Metabase v0.44.4 is the bump in the Postgres driver to version 42.5.0. This article will highlight some of the key changes in this release. Metabase, the popular open-source data visualization and exploration tool, recently released version v0.44.4, which includes a number of enhancements and bug fixes.
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