on sql-warehouse incremental models always replace all the data

Describe the bug

Im running a simple model:

{{ config(
  materialized = 'incremental',
    incremental_strategy='merge',
  file_format = 'delta',
    unique_key='h3_10',
) }}

select "h3rferfre5" as h3_10

I found that when using sql-warehouse:

sql-serverless:
  outputs:
    dev:
      host: **
      http_path: **
      schema: hive_metastore.tube_silver_prod
      threads: 1
      token: **
      type: databricks
  target: dev

The model is always executes:

create
or replace table hive_metastore.tube_silver_prod.my_fi...

as a result all the data is deleted and replaced.

When running the same model with a profile that uses an interactive cluster

cluster:
  outputs:
    dev:
      host: ***
      http_path: ***
      schema: tube_silver_prod
      threads: 1
      token: ***
      type: databricks
  target: dev

the result query is as expected: merge into tube_silver_prod.my_first_dbt_model as DBT_INTERNAL_DEST...

the result is merged/appended as expected

Plugins:

• databricks: 1.2.1 - Update available!
• spark: 1.2.0 - Update available! Python 3.8.13

Thanks

[AntonPeniaziev]

works perfectly, thanks! @ueshin I didnt know that keyword

[ueshin]

Could you try

catalog: hive_megastore

?