Documentation Index
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Datafold supports composite primary keys, meaning that you can assign multiple columns that make up the primary key together.
The first option is setting the primary-key key in the dbt metadata. There are several ways to configure this in your dbt project using either the meta key in a yaml file or a model-specific config block.
models:
- name: users
columns:
- name: user_id
meta:
primary-key: true
## for compound primary keys, set all parts of the key as a primary-key ##
# - name: company_id
# meta:
# primary-key: true
If the primary key is not found in the metadata, it will go through the tags.
models:
- name: users
columns:
- name: user_id
tags:
- primary-key
## for compound primary keys, tag all parts of the key ##
# - name: company_id
# tags:
# - primary-key
Inferred
If the primary key isn’t provided explicitly, Datafold will try to infer a primary key from dbt’s uniqueness tests. If you have a single column uniqueness test defined, it will use this column as the PK.
models:
- name: users
columns:
- name: user_id
tests:
- unique
Also, model-level uniqueness tests can be used for inferring the PK.
models:
- name: sales
columns:
- name: col1
- name: col2
...
tests:
- unique:
column_name: "col1 || col2"
# or
column_name: "CONCAT(col1, col2)"
# we also support dbt_utils unique_combination_of_columns test
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- order_no
- order_line
Keep in mind that this is a failover mechanism. If you change the uniqueness test, this will also impact the way Datafold performs the diff.