Merged PR 2607: Propagates and exposes multiple dimension handling for KPIs
# Description
This PR ensures the propagation of the dimensions for KPIs across the key aggregating and exposing models. Additionally, provides these 2 new fields in reporting while **not affecting the current data display**, thus it's safe to work in the PBI report without needing to work in 2 PRs in parallel.
**Changes:**
**1 - Intermediate, `int_mtd_vs_previous_year_metrics`:**
* Removes the temporary filter on `where dimension in ({{ production_dimensions }})`. This will be applied directly to reporting later. This ensures that the new dimension on customer segmentation is fully available only within intermediate.
* Adds `dimension` and `dimension_value` granularity. This includes: 1) adding these fields, 2) joining by these fields with all the source CTEs containing the source models with metrics - which in turn needs the change of the dates model - and 3) joining by these fields in the self-join to compute the incremental vs. previous year.
* Changes on the schema file
**2 - Intermediate, `int_mtd_aggregated_metrics`:**
* Adds `dimension` and `dimension_value` granularity. This includes only adding these fields.
* Changes on the schema file
**3 - Reporting, `mtd_aggregated_metrics`:**
* Adds the filter removed on `int_mtd_vs_previous_year_metrics`. This ensures that only the Global dimension is available for the reporting, thus **no changes from user POV**.
* Adds `dimension` and `dimension_value` granularity. This includes only adding these fields
* Changes on the schema file
# Checklist
- [X] The edited models and dependants run properly with production data.
- [X] The edited models are sufficiently documented.
- [X] The edited models contain PK tests, and I've ran and passed them.
- [X] I have checked for DRY opportunities with other models and docs.
- [X] I've picked the right materialization for the affected models.
# Other
- [ ] Check if a full-refresh is required after this PR is merged.
Related work items: #19325
This commit is contained in:
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5 changed files with 103 additions and 18 deletions
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@ -445,6 +445,8 @@ with
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is_current_month,
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first_day_month,
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date,
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dimension,
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dimension_value,
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previous_year_date,
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{{ metric.order_by }} as order_by,
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-- quotation marks added because text format
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@ -3,35 +3,27 @@ This model pivots the data of the different mtd metrics models to get
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previous year for each line & computing relative increment. --
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*/
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{% set production_dimensions = get_kpi_dimensions_for_production() %}
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{{ config(materialized="table", unique_key="date") }}
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{{ config(materialized="table", unique_key=["date", "dimension", "dimension_value"]) }}
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with
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int_core__mtd_booking_metrics as (
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select * from {{ ref("int_core__mtd_booking_metrics") }}
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where dimension in ({{ production_dimensions }})
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),
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int_core__mtd_guest_journey_metrics as (
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select * from {{ ref("int_core__mtd_guest_journey_metrics") }}
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where dimension in ({{ production_dimensions }})
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),
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int_core__mtd_accommodation_metrics as (
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select * from {{ ref("int_core__mtd_accommodation_metrics") }}
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where dimension in ({{ production_dimensions }})
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),
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int_core__mtd_deal_metrics as (
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select * from {{ ref("int_core__mtd_deal_metrics") }}
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where dimension in ({{ production_dimensions }})
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),
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int_core__mtd_guest_payments_metrics as (
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select * from {{ ref("int_core__mtd_guest_payments_metrics") }}
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where dimension in ({{ production_dimensions }})
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),
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int_xero__mtd_invoicing_metrics as (
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select * from {{ ref("int_xero__mtd_invoicing_metrics") }}
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where dimension in ({{ production_dimensions }})
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),
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int_dates_mtd as (select * from {{ ref("int_dates_mtd") }}),
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int_dates_mtd_by_dimension as (select * from {{ ref("int_dates_mtd_by_dimension") }}),
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plain_kpi_combination as (
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@ -43,6 +35,8 @@ with
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d.is_current_month,
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d.first_day_month,
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d.date,
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d.dimension,
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d.dimension_value,
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-- BOOKINGS --
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bookings.created_bookings,
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@ -180,18 +174,37 @@ with
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accommodations.listings_booked_in_month, 0
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) as total_revenue_per_listings_booked_in_month
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from int_dates_mtd d
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left join int_core__mtd_booking_metrics bookings on d.date = bookings.date
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from int_dates_mtd_by_dimension d
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left join
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int_core__mtd_booking_metrics bookings
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on d.date = bookings.date
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and d.dimension = bookings.dimension
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and d.dimension_value = bookings.dimension_value
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left join
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int_core__mtd_guest_journey_metrics guest_journeys
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on d.date = guest_journeys.date
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and d.dimension = guest_journeys.dimension
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and d.dimension_value = guest_journeys.dimension_value
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left join
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int_core__mtd_accommodation_metrics accommodations
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on d.date = accommodations.date
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left join int_core__mtd_deal_metrics deals on d.date = deals.date
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and d.dimension = accommodations.dimension
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and d.dimension_value = accommodations.dimension_value
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left join
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int_core__mtd_deal_metrics deals
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on d.date = deals.date
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and d.dimension = deals.dimension
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and d.dimension_value = deals.dimension_value
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left join
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int_core__mtd_guest_payments_metrics guest_payments on d.date = guest_payments.date
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left join int_xero__mtd_invoicing_metrics invoicing on d.date = invoicing.date
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int_core__mtd_guest_payments_metrics guest_payments
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on d.date = guest_payments.date
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and d.dimension = guest_payments.dimension
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and d.dimension_value = guest_payments.dimension_value
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left join
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int_xero__mtd_invoicing_metrics invoicing
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on d.date = invoicing.date
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and d.dimension = invoicing.dimension
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and d.dimension_value = invoicing.dimension_value
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)
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select
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current.year,
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@ -201,6 +214,8 @@ select
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current.is_current_month,
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current.first_day_month,
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current.date,
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current.dimension,
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current.dimension_value,
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previous_year.date as previous_year_date,
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-- BOOKINGS --
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@ -293,7 +308,9 @@ select
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from plain_kpi_combination current
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left join
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plain_kpi_combination previous_year
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on current.month = previous_year.month
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on current.dimension = previous_year.dimension
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and current.dimension_value = previous_year.dimension_value
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and current.month = previous_year.month
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and current.year = previous_year.year + 1
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where
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(
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@ -138,17 +138,41 @@ models:
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It aggregates all the mtd models with the different metrics per source
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and computes any necessary weighted metric across different sources.
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Each metric has a date, dimension and dimension value that defines
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the primary key of this model.
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Finally, it displays any metric on the current date, the previous year
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date and it computes the relative increment by using the macro:
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- calculate_safe_relative_increment
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tests:
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- dbt_utils.unique_combination_of_columns:
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combination_of_columns:
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- date
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- dimension
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- dimension_value
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columns:
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- name: date
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data_type: date
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description: The date for the month-to-date metrics.
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tests:
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- not_null
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- unique
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- name: dimension
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data_type: string
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description: The dimension or granularity of the metrics.
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tests:
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- accepted_values:
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values:
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- global
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- by_number_of_listings
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- name: dimension_value
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data_type: string
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description: The value or segment available for the selected dimension.
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tests:
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- not_null
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- name: int_dates_mtd
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description: |
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@ -297,6 +321,8 @@ models:
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combination_of_columns:
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- date
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- metric
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- dimension
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- dimension_value
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columns:
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- name: year
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@ -347,6 +373,21 @@ models:
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tests:
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- not_null
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- name: dimension
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data_type: string
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description: The dimension or granularity of the metrics.
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tests:
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- accepted_values:
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values:
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- global
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- by_number_of_listings
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- name: dimension_value
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data_type: string
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description: The value or segment available for the selected dimension.
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tests:
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- not_null
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- name: previous_year_date
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data_type: date
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description: |
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