dbterd 1.18.0

Generate the ERD-as-a-code from dbt artifacts

dbterd

Generate the ERD-as-a-code (DBML, Mermaid, PlantUML, GraphViz, D2, DrawDB) from dbt artifact files (dbt Core) or from dbt metadata (dbt Cloud)

Entity Relationships are configurably detected by (docs):

• Test Relationships (default)
• Semantic Entities (use -a option)

pip install dbterd --upgrade

Verify installation:

dbterd --version

[!TIP] For dbt-core Users, it's highly recommended to upgrade dbt-artifacts-parser to the latest version in order to support the newer dbt-core version which would cause to have the new manifest / catalog json schema:
👉 pip install dbt-artifacts-parser --upgrade

Quick examine with existing samples

• Play with CLIs:

  Click me

  # select all models in dbt_resto
  dbterd run -ad samples/dbtresto
  # select all models in dbt_resto, Select multiple dbt resources
  dbterd run -ad samples/dbtresto -rt model -rt source
  # select only models in dbt_resto excluding staging
  dbterd run -ad samples/dbtresto -s model.dbt_resto -ns model.dbt_resto.staging
  # select only models in schema name mart excluding staging
  dbterd run -ad samples/dbtresto -s schema:mart -ns model.dbt_resto.staging
  # select only models in schema full name dbt.mart excluding staging
  dbterd run -ad samples/dbtresto -s schema:dbt.mart -ns model.dbt_resto.staging
  
  # other samples
  dbterd run -ad samples/fivetranlog
  dbterd run -ad samples/fivetranlog -rt model -rt source
  
  dbterd run -ad samples/facebookad
  dbterd run -ad samples/facebookad -rt model -rt source
  
  dbterd run -ad samples/shopify -s wildcard:*shopify.shopify__*
  dbterd run -ad samples/shopify -rt model -rt source
  
  dbterd run -ad samples/dbt-constraints -a "test_relationship:(name:foreign_key|c_from:fk_column_name|c_to:pk_column_name)"
  
  # your own sample without committing to repo
  dbterd run -ad samples/local -rt model -rt source
  

• Play with Python API (whole ERD):

  from dbterd.api import DbtErd
  
  erd = DbtErd().get_erd()
  print("erd (dbml):", erd)
  
  erd = DbtErd(target="mermaid").get_erd()
  print("erd (mermaid):", erd)
  

• Play with Python API (1 model's ERD):

  from dbterd.api import DbtErd
  
  dim_prize_erd = DbtErd(target="mermaid").get_model_erd(
      node_unique_id="model.dbt_resto.dim_prize"
  )
  print("erd of dim_prize (mermaid):", dim_prize_erd)
  

  Here is the output:

  erDiagram
    "MODEL.DBT_RESTO.DIM_PRIZE" {
      varchar prize_key
      nvarchar prize_name
      int prize_order
    }
    "MODEL.DBT_RESTO.FACT_RESULT" {
      varchar fact_result_key
      varchar box_key
      varchar prize_key
      date date_key
      int no_of_won
      float prize_value
      float prize_paid
      int is_prize_taken
    }
    "MODEL.DBT_RESTO.FACT_RESULT" }|--|| "MODEL.DBT_RESTO.DIM_PRIZE": prize_key
  

🏃Check out the Quick Demo with DBML!

Contributing ✨

If you've ever wanted to contribute to this tool, and a great cause, now is your chance!

See the contributing docs CONTRIBUTING for more information.

If you've found this tool to be very helpful, please consider giving the repository a star, sharing it on social media, or even writing a blog post about it 💌

Finally, super thanks to our Contributors: