Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Feature: Add Quickstart Model Counts to README #21

Merged
merged 1 commit into from
Jan 15, 2025
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 6 additions & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
@@ -1,3 +1,9 @@
# dbt_amazon_ads version.version

## Documentation
- Added Quickstart model counts to README. ([#21](https://github.com/fivetran/dbt_amazon_ads/pull/21))
- Corrected references to connectors and connections in the README. ([#21](https://github.com/fivetran/dbt_amazon_ads/pull/21))

# dbt_amazon_ads v0.4.0
[PR #16](https://github.com/fivetran/dbt_amazon_ads/pull/16) includes the following updates:

Expand Down
12 changes: 7 additions & 5 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -32,13 +32,15 @@ The following table lists all tables that are materialized within this package b
| [amazon_ads__keyword_report](https://fivetran.github.io/dbt_amazon_ads/#!/model/model.amazon_ads.amazon_ads__keyword_report) | Each record in this table represents the daily performance at the keyword level. |
| [amazon_ads__ad_report](https://fivetran.github.io/dbt_amazon_ads/#!/model/model.amazon_ads.amazon_ads__ad_report) | Each record in this table represents the daily performance at the ad level.

### Materialized Models
Each Quickstart transformation job run materializes 30 models if all components of this data model are enabled. This count includes all staging, intermediate, and final models materialized as `view`, `table`, or `incremental`.
<!--section-end-->

## How do I use the dbt package?
### Step 1: Prerequisites
To use this dbt package, you must have the following:

- At least one Fivetran Amazon Ads connector syncing data into your destination.
- At least one Fivetran Amazon Ads connection syncing data into your destination.
- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.

#### Databricks Dispatch Configuration
Expand Down Expand Up @@ -71,7 +73,7 @@ vars:
```

### Step 4: Disable models for non-existent sources
Your Amazon Ads connector may not sync every table that this package expects. If you do not have the `PORTFOLIO_HISTORY` table synced, add the following variable to your root `dbt_project.yml` file:
Your Amazon Ads connection may not sync every table that this package expects. If you do not have the `PORTFOLIO_HISTORY` table synced, add the following variable to your root `dbt_project.yml` file:

```yml
vars:
Expand All @@ -81,8 +83,8 @@ vars:
### (Optional) Step 5: Additional configurations
<details open><summary>Expand/Collapse details</summary>

#### Union multiple connectors
If you have multiple amazon_ads connectors in Fivetran and would like to use this package on all of them simultaneously, we have provided functionality to do so. The package will union all of the data together and pass the unioned table into the transformations. You will be able to see which source it came from in the `source_relation` column of each model. To use this functionality, you will need to set either the `amazon_ads_union_schemas` OR `amazon_ads_union_databases` variables (cannot do both) in your root `dbt_project.yml` file:
#### Union multiple connections
If you have multiple amazon_ads connections in Fivetran and would like to use this package on all of them simultaneously, we have provided functionality to do so. The package will union all of the data together and pass the unioned table into the transformations. You will be able to see which source it came from in the `source_relation` column of each model. To use this functionality, you will need to set either the `amazon_ads_union_schemas` OR `amazon_ads_union_databases` variables (cannot do both) in your root `dbt_project.yml` file:

```yml
vars:
Expand Down Expand Up @@ -130,7 +132,7 @@ models:
```

#### Change the source table references
If an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable. This is not available when running the package on multiple unioned connectors.
If an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable. This is not available when running the package on multiple unioned connections.

> IMPORTANT: See this project's [`dbt_project.yml`](https://github.com/fivetran/dbt_amazon_ads_source/blob/main/dbt_project.yml) variable declarations to see the expected names.

Expand Down
Loading