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bug/gql-customer-cohorts #152

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bug/gql-customer-cohorts
fivetran-catfritz Mar 11, 2026
c376d08
changelog & version
fivetran-catfritz Mar 11, 2026
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update REST models & changelog
fivetran-catfritz Mar 11, 2026
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Update readme
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Generate dbt docs via GitHub Actions
github-actions[bot] Mar 11, 2026
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changelog
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changelog
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changelog
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11 changes: 11 additions & 0 deletions CHANGELOG.md
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@@ -1,3 +1,14 @@
# dbt_shopify v1.6.0-a1

[PR #152](https://github.com/fivetran/dbt_shopify/pull/152) includes the following updates:

## Schema/Data Changes
**3 total changes • 3 possible breaking changes**

| Data Model(s) | Change type | Field(s) | Old | New | Notes |
| --- | --- | --- | --- | --- | --- |
| `shopify_gql__customer_cohorts`<br>`shopify_gql__customer_email_cohorts`<br>`shopify__customer_email_cohorts` | Data quality | `cohort_month_number`<br>`total_price_lifetime`<br>`order_count_lifetime`<br>`line_item_count_lifetime` | May contain null values on incremental runs | Properly calculated values | `--full-refresh` recommended |

# dbt_shopify v1.5.2

[PR #144](https://github.com/fivetran/dbt_shopify/pull/144) includes the following updates:
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -79,7 +79,7 @@ If you are **not** using the [Shopify Holistic reporting package](https://github
```yml
packages:
- package: fivetran/shopify
version: [">=1.5.0", "<1.6.0"]
version: "1.6.0-a1"
```

> All required sources and staging models are now bundled into this transformation package. Do not include `fivetran/shopify_source` in your `packages.yml` since this package has been deprecated.
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2 changes: 1 addition & 1 deletion dbt_project.yml
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@@ -1,5 +1,5 @@
name: 'shopify'
version: '1.5.2'
version: '1.6.0'
config-version: 2
require-dbt-version: [">=1.3.0", "<3.0.0"]
models:
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2 changes: 1 addition & 1 deletion docs/catalog.json
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2 changes: 1 addition & 1 deletion docs/manifest.json
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2 changes: 1 addition & 1 deletion integration_tests/dbt_project.yml
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name: 'shopify_integration_tests'
version: '1.5.2'
version: '1.6.0'
profile: 'integration_tests'
config-version: 2

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8 changes: 4 additions & 4 deletions models/graphql/shopify_gql__customer_cohorts.sql
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Expand Up @@ -104,10 +104,10 @@ with calendar as (
windows.order_count_in_month,
windows.total_price_in_month,
windows.line_item_count_in_month,
backfill_lifetime_sums.previous_cohort_month_number + windows.cohort_month_number as cohort_month_number,
backfill_lifetime_sums.previous_total_price_lifetime + windows.total_price_lifetime as total_price_lifetime,
backfill_lifetime_sums.previous_order_count_lifetime + windows.order_count_lifetime as order_count_lifetime,
backfill_lifetime_sums.previous_line_item_count_lifetime + windows.line_item_count_lifetime as line_item_count_lifetime,
coalesce(backfill_lifetime_sums.previous_cohort_month_number, 0) + coalesce(windows.cohort_month_number, 0) as cohort_month_number,
coalesce(backfill_lifetime_sums.previous_total_price_lifetime, 0) + coalesce(windows.total_price_lifetime, 0) as total_price_lifetime,
coalesce(backfill_lifetime_sums.previous_order_count_lifetime, 0) + coalesce(windows.order_count_lifetime, 0) as order_count_lifetime,
coalesce(backfill_lifetime_sums.previous_line_item_count_lifetime, 0) + coalesce(windows.line_item_count_lifetime, 0) as line_item_count_lifetime,
{{ dbt_utils.generate_surrogate_key(['windows.date_month','windows.customer_id','windows.source_relation']) }} as customer_cohort_id
from windows
left join backfill_lifetime_sums
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8 changes: 4 additions & 4 deletions models/graphql/shopify_gql__customer_email_cohorts.sql
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Expand Up @@ -104,10 +104,10 @@ with calendar as (
windows.order_count_in_month,
windows.total_price_in_month,
windows.line_item_count_in_month,
backfill_lifetime_sums.previous_cohort_month_number + windows.cohort_month_number as cohort_month_number,
backfill_lifetime_sums.previous_total_price_lifetime + windows.total_price_lifetime as total_price_lifetime,
backfill_lifetime_sums.previous_order_count_lifetime + windows.order_count_lifetime as order_count_lifetime,
backfill_lifetime_sums.previous_line_item_count_lifetime + windows.line_item_count_lifetime as line_item_count_lifetime,
coalesce(backfill_lifetime_sums.previous_cohort_month_number, 0) + coalesce(windows.cohort_month_number, 0) as cohort_month_number,
coalesce(backfill_lifetime_sums.previous_total_price_lifetime, 0) + coalesce(windows.total_price_lifetime, 0) as total_price_lifetime,
coalesce(backfill_lifetime_sums.previous_order_count_lifetime, 0) + coalesce(windows.order_count_lifetime, 0) as order_count_lifetime,
coalesce(backfill_lifetime_sums.previous_line_item_count_lifetime, 0) + coalesce(windows.line_item_count_lifetime, 0) as line_item_count_lifetime,
{{ dbt_utils.generate_surrogate_key(['windows.date_month','windows.email','windows.source_relation']) }} as customer_cohort_id
from windows
left join backfill_lifetime_sums
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8 changes: 4 additions & 4 deletions models/rest/shopify__customer_email_cohorts.sql
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Expand Up @@ -104,10 +104,10 @@ with calendar as (
windows.order_count_in_month,
windows.total_price_in_month,
windows.line_item_count_in_month,
backfill_lifetime_sums.previous_cohort_month_number + windows.cohort_month_number as cohort_month_number,
backfill_lifetime_sums.previous_total_price_lifetime + windows.total_price_lifetime as total_price_lifetime,
backfill_lifetime_sums.previous_order_count_lifetime + windows.order_count_lifetime as order_count_lifetime,
backfill_lifetime_sums.previous_line_item_count_lifetime + windows.line_item_count_lifetime as line_item_count_lifetime,
coalesce(backfill_lifetime_sums.previous_cohort_month_number, 0) + coalesce(windows.cohort_month_number, 0) as cohort_month_number,
coalesce(backfill_lifetime_sums.previous_total_price_lifetime, 0) + coalesce(windows.total_price_lifetime, 0) as total_price_lifetime,
coalesce(backfill_lifetime_sums.previous_order_count_lifetime, 0) + coalesce(windows.order_count_lifetime, 0) as order_count_lifetime,
coalesce(backfill_lifetime_sums.previous_line_item_count_lifetime, 0) + coalesce(windows.line_item_count_lifetime, 0) as line_item_count_lifetime,
{{ dbt_utils.generate_surrogate_key(['windows.date_month','windows.email','windows.source_relation']) }} as customer_cohort_id
from windows
left join backfill_lifetime_sums
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