[Bug] dbt docs generate does not include Data Type (data stored in iceberg format)

[troylepnc]

Is this a new bug in dbt-spark?

• I believe this is a new bug in dbt-spark
• I have searched the existing issues, and I could not find an existing issue for this bug

Current Behavior

"dbt docs generate" does not pick up Data Type; column Type is empty

Expected Behavior

Column Type shows data type information as specified in dbt model properties (yaml)

Steps To Reproduce

Dbt command: dbt docs generate

models:

• name: my_test_model
  description: 'my test model'
  meta:
  owner: acme
  columns:
  • name: id
    data_type: bigint
    description: 'Internally managed primary key'
    constraints:
    • type: not_null
  • name: loadcommandid
    data_type: bigint
    description: 'Parent.'
    constraints:
    • type: not_null
  • name: parametername
    data_type: string
    description: 'Parameter name.'
    constraints:
    • type: not_null
  • name: parametervalue
    data_type: string
    description: 'Parameter value.'
  • name: publicid
    data_type: string
    description: 'ID or primary key of the row'
    constraints:
    • type: not_null

Relevant log output

No response

Environment

- OS: Windows 11
- Python: 3.12.1
- Spark: spark-3.5.0-bin-hadoop3-scala2.13
- dbt-core: 1.7.7
- dbt-spark: 1.7.1
- apache iceberg: 1.4.3

Additional Context

"dbt run" and "dbt docs generate" complete successfully with no errors, but data type (column Type) is showing blank in docs output

[nyc-de]

I ran into this as well. I randomly tried replacing the data_type key with type and it worked.

In the screenshot you can see the docs generate is picking up the column type where the key is replaced.

[mabubakr007]

I ran into this as well. I randomly tried replacing the data_type key with type and it worked.

In the screenshot you can see the docs generate is picking up the column type where the key is replaced.

Thanks for this. It worked for us