dbt2looker-bigquery 0.12.0b3

Generate lookml view files from dbt models for Bigquery

dbt2looker

Use dbt2looker-bigquery to generate Looker view files automatically from dbt models in Bigquery.

This is a fork of dbt2looker that is specific to bigquery. The intention is to allow one to define most of the simple and tedious lookml settings in dbt. That way the lookml code gets less bloated, and can be more focused on advanced metrics and explores.

Want a deeper integration between dbt and your BI tool? You should also checkout Lightdash - the open source alternative to Looker

Features

• Column descriptions synced to looker
• Dimension for each column in dbt model
• Define Dimensions define common lookml settings in dbt like label, group label, hidden
• Opinionated Primary key automatically set the first column to be the primary key, and hide it.
• Dimension groups for datetime/timestamp/date columns
• Measures defined through dbt column metadata see below
• Looker types
• Warehouses: BigQuery

Quickstart

Run dbt2looker in the root of your dbt project after compiling looker docs.

Generate Looker view files for all models:

dbt docs generate
dbt2looker

Generate Looker view files for all models tagged prod

dbt2looker --tag prod

Install

Install from PyPi repository

Install from pypi into a fresh virtual environment.

# Create virtual env
python3.7 -m venv dbt2looker-venv
source dbt2looker-venv/bin/activate

# Install
pip install dbt2looker-bigquery

# Run
dbt2looker

Build from source

Requires poetry and python >=3.7

For development, it is recommended to use python 3.7:

# Ensure you're using 3.7
poetry env use 3.7  
# alternative: poetry env use /usr/local/opt/python@3.7/bin/python3

# Install dependencies and main package
poetry install

# Run dbtlooker in poetry environment
poetry run dbt2looker

Defining measures

You can define looker measures in your dbt schema.yml files. For example:

models:
  - name: pages
    columns:
      - name: url
        description: "Page url"
      - name: event_id
        description: unique event id for page view
        meta:
           looker:
              label: "Event ID in pages"
              group_label: "id columns"
              value_format_name: decimal_0
              hidden: False
            looker_measures:
              type: count_distinct
              type: count