data-dwh-dbt-project/tests/tmp_kpis_refactor_equivalent_check_out_bookings.sql

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{% set min_date = "2022-01-01" %}
{% set dimensions = ("global", "by_billing_country") %}
-- "by_number_of_listings" excluded on purpose - there's differences because of daily
-- segmentation
with
new_mtd_check_out_bookings as (
select end_date as date, dimension, dimension_value, check_out_bookings
from {{ ref("int_kpis__aggregated_mtd_check_out_bookings") }}
where
end_date >= '{{ min_date }}'
and dimension in {{ dimensions }}
and dimension_value <> 'UNSET'
),
new_monthly_check_out_bookings as (
select end_date as date, dimension, dimension_value, check_out_bookings
from {{ ref("int_kpis__aggregated_monthly_check_out_bookings") }}
where
end_date >= '{{ min_date }}'
and dimension in {{ dimensions }}
and dimension_value <> 'UNSET'
),
new_check_out_bookings as (
select *
from new_mtd_check_out_bookings
union all
select *
from new_monthly_check_out_bookings
),
old_check_out_bookings as (
select date, dimension, dimension_value, check_out_bookings
from {{ ref("int_core__mtd_check_out_bookings_metric") }}
where date >= '{{ min_date }}' and dimension in {{ dimensions }}
),
comparison as (
select
coalesce(o.date, n.date) as date,
coalesce(o.dimension, n.dimension) as dimension,
coalesce(o.dimension_value, n.dimension_value) as dimension_value,
o.check_out_bookings as old_check_out_bookings,
n.check_out_bookings as new_check_out_bookings,
coalesce(o.check_out_bookings, 0)
- coalesce(n.check_out_bookings, 0) as diff
from old_check_out_bookings o
full outer join
new_check_out_bookings n
on o.date = n.date
and o.dimension = n.dimension
and o.dimension_value = n.dimension_value
)
select *
from comparison
where diff <> 0
order by date desc, abs(diff) desc