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Dbt engine compat for fusion#20
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| id: "{{ 'string' if target.type in ('bigquery', 'spark', 'databricks') else 'varchar' }}" | ||
| plan_id: "{{ 'string' if target.type in ('bigquery', 'spark', 'databricks') else 'varchar' }}" | ||
| subscription_id: "{{ 'string' if target.type in ('bigquery', 'spark', 'databricks') else 'varchar' }}" | ||
| object: "{{ 'string' if target.type in ('bigquery', 'spark', 'databricks') else 'varchar' }}" |
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good catch with all these btw
| ## Documentation | ||
| - Corrected references to connectors and connections in the README. ([#18](https://github.com/fivetran/dbt_recurly_source/pull/18)) | ||
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| ## Under the Hood |
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This should probably go above documentation.
| @@ -1,8 +1,15 @@ | |||
| # dbt_recurly_source version.version | |||
| # dbt_recurly_source v0.3.1 | |||
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Suggested change
| This release introduces the following updates: | |
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added myself directly
fivetran-avinash
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Jun 3, 2025
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@fivetran-jamie two suggestions but ready to go after that.
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PR Overview
Package version introduced in this PR:
v0.3.1
This PR addresses the following Issue/Feature(s):
dbt-labs/dbt-core#11493
Summary of changes:
Ensures compatibility with the new dbt engine being released on 5/28 at the dbt Launch Showcase by way of merging #19
Submission Checklist
Changelog