d8a0bb07d3
# Description Changes: * Propagates business scope, based on deal, for Deal and Listing metrics. This already handles the daily metric and the daily aggregation. * Modifies lifecycle_daily_deal to depend on dimension_deals and compute API segmentation. * Creates new metric: Live Deals, that includes New, Active and Reactivated. This will be needed for YTD/MTD overview. # 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: #27356
96 lines
3 KiB
SQL
96 lines
3 KiB
SQL
{{
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config(
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materialized="table",
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unique_key=[
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"date",
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"main_billing_country_iso_3_per_deal",
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"active_accommodations_per_deal_segmentation",
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"business_scope",
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],
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)
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}}
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select
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-- Unique Key --
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ldl.date,
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case
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when ikdd.client_type = 'API'
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then 'API'
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when ikdd.client_type = 'PLATFORM'
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then
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case
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when
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icnddsd.id_deal is not null
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and ldl.date >= icnddsd.min_user_in_new_dash_since_date_utc
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then 'New Dash'
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else 'Old Dash'
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end
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else 'UNSET'
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end as business_scope,
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coalesce(
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ikdd.main_billing_country_iso_3_per_deal, 'UNSET'
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) as main_billing_country_iso_3_per_deal,
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case
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when ldl.deal_lifecycle_state = '01-New'
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then coalesce(ikdd.hubspot_listing_segmentation, 'UNSET')
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else coalesce(icmas.active_accommodations_per_deal_segmentation, 'UNSET')
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end as active_accommodations_per_deal_segmentation,
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-- Metrics --
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count(
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distinct case
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when ldl.deal_lifecycle_state = '01-New' then ldl.id_deal else null
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end
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) as new_deals,
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count(
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distinct case
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when ldl.deal_lifecycle_state = '02-Never Booked' then ldl.id_deal else null
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end
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) as never_booked_deals,
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count(
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distinct case
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when ldl.deal_lifecycle_state = '04-Active' then ldl.id_deal else null
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end
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) as active_deals,
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count(
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distinct case
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when ldl.deal_lifecycle_state = '05-Churning' then ldl.id_deal else null
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end
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) as churning_deals,
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count(
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distinct case
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when ldl.deal_lifecycle_state = '06-Inactive' then ldl.id_deal else null
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end
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) as inactive_deals,
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count(
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distinct case
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when ldl.deal_lifecycle_state = '07-Reactivated' then ldl.id_deal else null
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end
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) as reactivated_deals,
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sum(
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case when has_been_booked_within_current_month then 1 else 0 end
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) as deals_booked_in_month,
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sum(
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case when has_been_booked_within_last_6_months then 1 else 0 end
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) as deals_booked_in_6_months,
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sum(
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case when has_been_booked_within_last_12_months then 1 else 0 end
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) as deals_booked_in_12_months,
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count(
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distinct
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case
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when
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ldl.deal_lifecycle_state
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in ('01-New', '02-Never Booked', '04-Active', '07-Reactivated')
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then ldl.id_deal
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else null
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end
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) as live_deals
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from {{ ref("int_kpis__lifecycle_daily_deal") }} as ldl
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left join {{ ref("int_kpis__dimension_deals") }} as ikdd on ldl.id_deal = ikdd.id_deal
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left join
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{{ ref("int_kpis__dimension_daily_accommodation") }} as icmas
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on ldl.id_deal = icmas.id_deal
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and ldl.date = icmas.date
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left join
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{{ ref("int_core__new_dash_deal_since_date") }} as icnddsd
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on ldl.id_deal = icnddsd.id_deal
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group by 1, 2, 3, 4
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