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link to clone in ci job best practices #4665

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Dec 18, 2023
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link to clone in ci job best practices #4665

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link to clone in ci job best practices
mirnawong1 Dec 18, 2023
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Update website/blog/2023-10-31-to-defer-or-to-clone.md
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6 changes: 5 additions & 1 deletion website/blog/2023-10-31-to-defer-or-to-clone.md
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Expand Up @@ -91,14 +91,18 @@ Using the cheat sheet above, let’s explore a few common scenarios and explore

2. **[Slim CI](https://discourse.getdbt.com/t/how-we-sped-up-our-ci-runs-by-10x-using-slim-ci/2603)**

:::tip Use `dbt clone` in CI jobs
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Learn how to [use `dbt clone` in CI jobs](/best-practices/clone-incremental-models) to efficiently test modified incremental models, simulating post-merge behavior while avoiding full-refresh costs.
:::

In this scenario, we want to:
1. Refer to production models wherever possible to speed up continuous integration (CI) runs
2. Only run and test models in the CI staging environment that have changed from the production environment
3. Reference models from different environments – prod for unchanged models, and staging for modified models

Therefore, we should use **defer** in this scenario

3. **[Blue/Green Deployments](https://discourse.getdbt.com/t/performing-a-blue-green-deploy-of-your-dbt-project-on-snowflake/1349)**
4. **[Blue/Green Deployments](https://discourse.getdbt.com/t/performing-a-blue-green-deploy-of-your-dbt-project-on-snowflake/1349)**
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In this scenario, we want to:
1. Ensure that all tests are always passing on the production dataset, even if that dataset is slightly stale
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