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Merge pull request #15 from fivetran/MagicBot_bdf75a9232
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[MagicBot] Bumping package version
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fivetran-joemarkiewicz authored Dec 22, 2021
2 parents 66971f8 + 3d4996f commit 20a9057
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1 change: 1 addition & 0 deletions .gitignore
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dbt_packages/
11 changes: 9 additions & 2 deletions CHANGELOG.md
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# dbt_linkedin (next release)
# dbt_linkedin v0.4.0
🎉 dbt v1.0.0 Compatibility 🎉
## 🚨 Breaking Changes 🚨
- Adjusts the `require-dbt-version` to now be within the range [">=1.0.0", "<2.0.0"]. Additionally, the package has been updated for dbt v1.0.0 compatibility. If you are using a dbt version <1.0.0, you will need to upgrade in order to leverage the latest version of the package.
- For help upgrading your package, I recommend reviewing this GitHub repo's Release Notes on what changes have been implemented since your last upgrade.
- For help upgrading your dbt project to dbt v1.0.0, I recommend reviewing dbt-labs [upgrading to 1.0.0 docs](https://docs.getdbt.com/docs/guides/migration-guide/upgrading-to-1-0-0) for more details on what changes must be made.
- Upgrades the package dependency to refer to the latest `dbt_linkedin_source`. Additionally, the latest `dbt_linkedin_source` package has a dependency on the latest `dbt_fivetran_utils`. Further, the latest `dbt_fivetran_utils` package also has a dependency on `dbt_utils` [">=0.8.0", "<0.9.0"].
- Please note, if you are installing a version of `dbt_utils` in your `packages.yml` that is not in the range above then you will encounter a package dependency error.

# dbt_linkedin v0.1.0 -> v0.3.0
Refer to the relevant release notes on the Github repository for specific details for the previous releases. Thank you!
Refer to the relevant release notes on the Github repository for specific details for the previous releases. Thank you!
4 changes: 2 additions & 2 deletions README.md
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[![Apache License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) ![dbt logo and version](https://img.shields.io/static/v1?logo=dbt&label=dbt-version&message=0.20.x&color=orange)
[![Apache License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
# LinkedIn Ad Analytics ([docs](https://fivetran-dbt-linkedin.netlify.app/#!/overview))

This package models LinkedIn Ad Analytics data from [Fivetran's connector](https://fivetran.com/docs/applications/linkedin-ads). It uses data in the format described by [this ERD](https://fivetran.com/docs/applications/linkedin-ads#schemainformation).
Expand All @@ -24,7 +24,7 @@ Include in your `packages.yml`
```yaml
packages:
- package: fivetran/linkedin
version: [">=0.3.0", "<0.4.0"]
version: [">=0.4.0", "<0.5.0"]
```
## Configuration
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4 changes: 2 additions & 2 deletions dbt_project.yml
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name: 'linkedin'
version: '0.3.0'
version: '0.4.0'
config-version: 2
require-dbt-version: [">=0.20.0"]
require-dbt-version: [">=1.0.0", "<2.0.0"]
vars:
linkedin:
ad_analytics_by_creative: "{{ ref('stg_linkedin__ad_analytics_by_creative') }}"
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9 changes: 6 additions & 3 deletions integration_tests/requirements.txt
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dbt==0.20.0
dbt-spark==0.20.0
dbt-spark[PyHive]==0.20.0
dbt-snowflake==1.0.0
dbt-bigquery==1.0.0
dbt-redshift==1.0.0
dbt-postgres==1.0.0
dbt-spark==1.0.0
dbt-spark[PyHive]==1.0.0
2 changes: 1 addition & 1 deletion packages.yml
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packages:
- package: fivetran/linkedin_source
version: [">=0.3.0", "<0.4.0"]
version: [">=0.4.0", "<0.5.0"]

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