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Merged PR 4865: New dash created bookings models

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# Description

New kpis model for created bookings in new dash.
I also correctly updated the joins in `int_kpis__product_new_dash_agg_metrics`

# 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.
This commit is contained in:
Joaquin Ossa 2025-04-02 12:30:02 +00:00
commit ced7373fa9
9 changed files with 540 additions and 214 deletions
Download patch file Download diff file Expand all files Collapse all files

35
macros/business_kpis_configuration.sql
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@ -171,34 +171,13 @@ Provides a general assignement for the Dimensions available for each KPI
] %} ] %}
{% endif %} {% endif %}
{% if entity_name == "NEW_DASH_CREATED_SERVICES" %} {% if entity_name in [
{% set additional_dimensions = additional_dimensions + [ "NEW_DASH_CREATED_SERVICES",
dim_has_upgraded_service(), "NEW_DASH_CHARGEABLE_SERVICES",
dim_new_dash_version(), "NEW_DASH_ACCOMMODATION_OFFERED_SERVICES",
dim_pricing_service(), "NEW_DASH_CREATED_BOOKINGS",
dim_pricing_business_type(), "NEW_DASH_DEALS_OFFERED_SERVICES",
] %} ] %}
{% endif %}
{% if entity_name == "NEW_DASH_CHARGEABLE_SERVICES" %}
{% set additional_dimensions = additional_dimensions + [
dim_has_upgraded_service(),
dim_new_dash_version(),
dim_pricing_service(),
dim_pricing_business_type(),
] %}
{% endif %}
{% if entity_name == "NEW_DASH_DEALS_OFFERED_SERVICES" %}
{% set additional_dimensions = additional_dimensions + [
dim_has_upgraded_service(),
dim_new_dash_version(),
dim_pricing_service(),
dim_pricing_business_type(),
] %}
{% endif %}
{% if entity_name == "NEW_DASH_ACCOMMODATION_OFFERED_SERVICES" %}
{% set additional_dimensions = additional_dimensions + [ {% set additional_dimensions = additional_dimensions + [
dim_has_upgraded_service(), dim_has_upgraded_service(),
dim_new_dash_version(), dim_new_dash_version(),

23
models/intermediate/kpis/int_kpis__agg_daily_new_dash_created_bookings.sql Normal file
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@ -0,0 +1,23 @@
{% set dimensions = get_kpi_dimensions_per_model("NEW_DASH_CREATED_BOOKINGS") %}
{{ config(materialized="table", unique_key=["date", "dimension", "dimension_value"]) }}
{% for dimension in dimensions %}
select
-- Unique Key --
d.date,
{{ dimension.dimension }} as dimension,
{{ dimension.dimension_value }} as dimension_value,
-- Metrics --
count(distinct cbs.id_booking) as created_bookings
from {{ ref("int_kpis__dimension_dates") }} d
left join
{{ ref("int_kpis__metric_daily_new_dash_created_bookings") }} as cbs
on d.date = cbs.date
where cbs.id_deal is not null
group by 1, 2, 3
{% if not loop.last %}
union all
{% endif %}
{% endfor %}

24
models/intermediate/kpis/int_kpis__agg_monthly_new_dash_created_bookings.sql Normal file
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@ -0,0 +1,24 @@
{% set dimensions = get_kpi_dimensions_per_model("NEW_DASH_CREATED_BOOKINGS") %}
{{ config(materialized="table", unique_key=["date", "dimension", "dimension_value"]) }}
{% for dimension in dimensions %}
select
-- Unique Key --
d.first_day_month as start_date,
d.date as end_date,
{{ dimension.dimension }} as dimension,
{{ dimension.dimension_value }} as dimension_value,
-- Metrics --
count(distinct dcb.id_booking) as created_bookings
from {{ ref("int_kpis__dimension_dates") }} d
left join
{{ ref("int_kpis__metric_daily_new_dash_created_bookings") }} as dcb
on dcb.date = d.date
where d.is_end_of_month = true and dcb.id_booking is not null
group by 1, 2, 3, 4
{% if not loop.last %}
union all
{% endif %}
{% endfor %}

24
models/intermediate/kpis/int_kpis__agg_weekly_new_dash_created_bookings.sql Normal file
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@ -0,0 +1,24 @@
{% set dimensions = get_kpi_dimensions_per_model("NEW_DASH_CREATED_BOOKINGS") %}
{{ config(materialized="table", unique_key=["date", "dimension", "dimension_value"]) }}
{% for dimension in dimensions %}
select
-- Unique Key --
d.first_day_month as start_date,
d.date as end_date,
{{ dimension.dimension }} as dimension,
{{ dimension.dimension_value }} as dimension_value,
-- Metrics --
count(distinct dcb.id_booking) as created_bookings
from {{ ref("int_kpis__dimension_dates") }} d
left join
{{ ref("int_kpis__metric_daily_new_dash_created_bookings") }} as dcb
on dcb.date = d.date
where d.is_end_of_week = true and dcb.id_booking is not null
group by 1, 2, 3, 4
{% if not loop.last %}
union all
{% endif %}
{% endfor %}

43
models/intermediate/kpis/int_kpis__metric_daily_new_dash_created_bookings.sql Normal file
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@ -0,0 +1,43 @@
{{
config(
materialized="table",
unique_key=[
"date",
"id_booking",
"id_user_product_bundle",
"service_name",
"service_business_type",
],
)
}}
select
-- Unique Key --
date(bs.booking_created_date_utc) as date,
bs.id_booking,
bs.id_user_product_bundle,
coalesce(icbsd.service_name) as service_name,
coalesce(icbsd.service_business_type, 'UNSET') as service_business_type,
-- Dimensions --
coalesce(bs.id_deal, 'UNSET') as id_deal,
case when icbsd.is_upgraded_service then 'YES' else 'NO' end as is_upgraded_service,
coalesce(bs.new_dash_version, 'UNSET') as new_dash_version,
coalesce(
uh.main_billing_country_iso_3_per_deal, 'UNSET'
) as main_billing_country_iso_3_per_deal,
coalesce(
icmas.active_accommodations_per_deal_segmentation, 'UNSET'
) as active_accommodations_per_deal_segmentation
from {{ ref("int_core__booking_summary") }} as bs
inner join
{{ ref("int_core__booking_service_detail") }} as icbsd
on bs.id_booking = icbsd.id_booking
inner join {{ ref("int_core__user_host") }} as uh on bs.id_user_host = uh.id_user_host
left join
{{ ref("int_kpis__dimension_daily_accommodation") }} as icmas
on bs.id_deal = icmas.id_deal
and date(icbsd.service_detail_created_at_utc) = icmas.date
where
bs.is_user_in_new_dash = true
and bs.is_missing_id_deal = false
and icbsd.service_detail_created_at_utc
>= bs.user_in_new_dash_since_timestamp_at_utc

304
models/intermediate/kpis/int_kpis__product_new_dash_agg_metrics.sql
View file

@ -1,190 +1,148 @@
{% set agg_models = [
{
"name": "int_kpis__agg_daily_new_dash_created_services",
"date_field": "date",
"metrics": ["created_services"],
},
{
"name": "int_kpis__agg_daily_new_dash_chargeable_services",
"date_field": "date",
"metrics": [
"total_chargeable_services",
"total_chargeable_amount_in_gbp",
"unique_chargeable_bookings",
"unique_chargeable_listings",
],
},
{
"name": "int_kpis__agg_daily_new_dash_deals_offered_services",
"date_field": "date",
"metrics": ["deal_with_offered_service_count"],
},
{
"name": "int_kpis__agg_daily_new_dash_accommodation_offered_services",
"date_field": "date",
"metrics": ["accommodation_with_offered_service_count"],
},
{
"name": "int_kpis__agg_daily_new_dash_created_bookings",
"date_field": "date",
"metrics": ["created_bookings"],
},
{
"name": "int_kpis__agg_weekly_new_dash_created_services",
"date_field": "end_date",
"metrics": ["created_services"],
},
{
"name": "int_kpis__agg_weekly_new_dash_chargeable_services",
"date_field": "end_date",
"metrics": [
"total_chargeable_services",
"total_chargeable_amount_in_gbp",
"unique_chargeable_bookings",
"unique_chargeable_listings",
],
},
{
"name": "int_kpis__agg_weekly_new_dash_deals_offered_services",
"date_field": "date",
"metrics": ["deal_with_offered_service_count"],
},
{
"name": "int_kpis__agg_weekly_new_dash_accommodation_offered_services",
"date_field": "date",
"metrics": ["accommodation_with_offered_service_count"],
},
{
"name": "int_kpis__agg_weekly_new_dash_created_bookings",
"date_field": "end_date",
"metrics": ["created_bookings"],
},
{
"name": "int_kpis__agg_monthly_new_dash_created_services",
"date_field": "end_date",
"metrics": ["created_services"],
},
{
"name": "int_kpis__agg_monthly_new_dash_chargeable_services",
"date_field": "end_date",
"metrics": [
"total_chargeable_services",
"total_chargeable_amount_in_gbp",
"unique_chargeable_bookings",
"unique_chargeable_listings",
],
},
{
"name": "int_kpis__agg_monthly_new_dash_deals_offered_services",
"date_field": "date",
"metrics": ["deal_with_offered_service_count"],
},
{
"name": "int_kpis__agg_monthly_new_dash_accommodation_offered_services",
"date_field": "date",
"metrics": ["accommodation_with_offered_service_count"],
},
{
"name": "int_kpis__agg_monthly_new_dash_created_bookings",
"date_field": "end_date",
"metrics": ["created_bookings"],
},
] %}
with with
int_kpis__agg_daily_new_dash_created_services as (
select * from {{ ref("int_kpis__agg_daily_new_dash_created_services") }}
),
int_kpis__agg_weekly_new_dash_created_services as (
select * from {{ ref("int_kpis__agg_weekly_new_dash_created_services") }}
),
int_kpis__agg_monthly_new_dash_created_services as (
select * from {{ ref("int_kpis__agg_monthly_new_dash_created_services") }}
),
int_kpis__agg_daily_new_dash_chargeable_services as (
select * from {{ ref("int_kpis__agg_daily_new_dash_chargeable_services") }}
),
int_kpis__agg_weekly_new_dash_chargeable_services as (
select * from {{ ref("int_kpis__agg_weekly_new_dash_chargeable_services") }}
),
int_kpis__agg_monthly_new_dash_chargeable_services as (
select * from {{ ref("int_kpis__agg_monthly_new_dash_chargeable_services") }}
),
int_kpis__agg_daily_new_dash_deals_offered_services as (
select * from {{ ref("int_kpis__agg_daily_new_dash_deals_offered_services") }}
),
int_kpis__agg_weekly_new_dash_deals_offered_services as (
select * from {{ ref("int_kpis__agg_weekly_new_dash_deals_offered_services") }}
),
int_kpis__agg_monthly_new_dash_deals_offered_services as (
select * from {{ ref("int_kpis__agg_monthly_new_dash_deals_offered_services") }}
),
int_kpis__agg_daily_new_dash_accommodation_offered_services as (
select *
from {{ ref("int_kpis__agg_daily_new_dash_accommodation_offered_services") }}
),
int_kpis__agg_weekly_new_dash_accommodation_offered_services as (
select *
from {{ ref("int_kpis__agg_weekly_new_dash_accommodation_offered_services") }}
),
int_kpis__agg_monthly_new_dash_accommodation_offered_services as (
select *
from {{ ref("int_kpis__agg_monthly_new_dash_accommodation_offered_services") }}
),
int_kpis__dimension_dates as (select * from {{ ref("int_kpis__dimension_dates") }}), int_kpis__dimension_dates as (select * from {{ ref("int_kpis__dimension_dates") }}),
all_dates as ( all_dates as (
select distinct select distinct
c.date, c.dimension, c.dimension_value, d.is_end_of_week, d.is_end_of_month c.date, c.dimension, c.dimension_value, d.is_end_of_week, d.is_end_of_month
from from
( (
select date, dimension, dimension_value select date, dimension, dimension_value
from int_kpis__agg_daily_new_dash_created_services from {{ ref("int_kpis__agg_daily_new_dash_created_services") }}
union all union all
select date, dimension, dimension_value select date, dimension, dimension_value
from int_kpis__agg_daily_new_dash_chargeable_services from {{ ref("int_kpis__agg_daily_new_dash_chargeable_services") }}
union all union all
select date, dimension, dimension_value select date, dimension, dimension_value
from int_kpis__agg_daily_new_dash_deals_offered_services from {{ ref("int_kpis__agg_daily_new_dash_deals_offered_services") }}
union all union all
select date, dimension, dimension_value select date, dimension, dimension_value
from int_kpis__agg_daily_new_dash_accommodation_offered_services from
{{
ref(
"int_kpis__agg_daily_new_dash_accommodation_offered_services"
)
}}
) c ) c
left join int_kpis__dimension_dates d on c.date = d.date left join int_kpis__dimension_dates d on c.date = d.date
) )
select
d.date, {% for time_granularity in ["daily", "weekly", "monthly"] %}
'daily' as time_granularity, select
d.dimension, d.date,
d.dimension_value, '{{ time_granularity }}' as time_granularity,
coalesce( d.dimension,
deals.deal_with_offered_service_count, 0 d.dimension_value
) as deal_with_offered_service_count, {% for agg_model in agg_models if time_granularity in agg_model["name"] %}
coalesce( {% for metric in agg_model["metrics"] %}
accommodation.accommodation_with_offered_service_count, 0 , coalesce({{ ref(agg_model["name"]) }}.{{ metric }}, 0) as {{ metric }}
) as accommodation_with_offered_service_count, {% endfor %}
coalesce(created.created_services, 0) as created_services, {% endfor %}
coalesce( from all_dates d
created.booking_with_created_services_count, 0 {% for agg_model in agg_models if time_granularity in agg_model["name"] %}
) as booking_with_created_services_count, left join
coalesce(chargeable.total_chargeable_services, 0) as total_chargeable_services, {{ ref(agg_model["name"]) }}
coalesce( on d.date = {{ ref(agg_model["name"]) }}.{{ agg_model["date_field"] }}
chargeable.total_chargeable_amount_in_gbp, 0 and d.dimension = {{ ref(agg_model["name"]) }}.dimension
) as total_chargeable_amount_in_gbp, and d.dimension_value = {{ ref(agg_model["name"]) }}.dimension_value
coalesce(chargeable.unique_chargeable_bookings, 0) as unique_chargeable_bookings, {% endfor %}
coalesce(chargeable.unique_chargeable_listings, 0) as unique_chargeable_listings {% if time_granularity == "weekly" %} where d.is_end_of_week
from all_dates d {% elif time_granularity == "monthly" %} where d.is_end_of_month
left join {% endif %}
int_kpis__agg_daily_new_dash_created_services created
on d.date = created.date {% if not loop.last %}
and d.dimension = created.dimension union all
and d.dimension_value = created.dimension_value {% endif %}
left join {% endfor %}
int_kpis__agg_daily_new_dash_chargeable_services chargeable
on created.date = chargeable.date
and created.dimension = chargeable.dimension
and created.dimension_value = chargeable.dimension_value
left join
int_kpis__agg_daily_new_dash_deals_offered_services deals
on created.date = deals.date
and created.dimension = deals.dimension
and created.dimension_value = deals.dimension_value
left join
int_kpis__agg_daily_new_dash_accommodation_offered_services accommodation
on created.date = accommodation.date
and created.dimension = accommodation.dimension
and created.dimension_value = accommodation.dimension_value
union all
select
d.date,
'weekly' as time_granularity,
d.dimension,
d.dimension_value,
coalesce(
deals.deal_with_offered_service_count, 0
) as deal_with_offered_service_count,
coalesce(
accommodation.accommodation_with_offered_service_count, 0
) as accommodation_with_offered_service_count,
coalesce(created.created_services, 0) as created_services,
coalesce(
created.booking_with_created_services_count, 0
) as booking_with_created_services_count,
coalesce(chargeable.total_chargeable_services, 0) as total_chargeable_services,
coalesce(
chargeable.total_chargeable_amount_in_gbp, 0
) as total_chargeable_amount_in_gbp,
coalesce(chargeable.unique_chargeable_bookings, 0) as unique_chargeable_bookings,
coalesce(chargeable.unique_chargeable_listings, 0) as unique_chargeable_listings
from all_dates d
left join
int_kpis__agg_weekly_new_dash_created_services created
on d.date = created.end_date
and d.dimension = created.dimension
and d.dimension_value = created.dimension_value
left join
int_kpis__agg_weekly_new_dash_chargeable_services chargeable
on created.end_date = chargeable.end_date
and created.dimension = chargeable.dimension
and created.dimension_value = chargeable.dimension_value
left join
int_kpis__agg_weekly_new_dash_deals_offered_services deals
on created.end_date = deals.date
and created.dimension = deals.dimension
and created.dimension_value = deals.dimension_value
left join
int_kpis__agg_weekly_new_dash_accommodation_offered_services accommodation
on created.end_date = accommodation.date
and created.dimension = accommodation.dimension
and created.dimension_value = accommodation.dimension_value
where d.is_end_of_week
union all
select
d.date,
'monthly' as time_granularity,
d.dimension,
d.dimension_value,
coalesce(
deals.deal_with_offered_service_count, 0
) as deal_with_offered_service_count,
coalesce(
accommodation.accommodation_with_offered_service_count, 0
) as accommodation_with_offered_service_count,
coalesce(created.created_services, 0) as created_services,
coalesce(
created.booking_with_created_services_count, 0
) as booking_with_created_services_count,
coalesce(chargeable.total_chargeable_services, 0) as total_chargeable_services,
coalesce(
chargeable.total_chargeable_amount_in_gbp, 0
) as total_chargeable_amount_in_gbp,
coalesce(chargeable.unique_chargeable_bookings, 0) as unique_chargeable_bookings,
coalesce(chargeable.unique_chargeable_listings, 0) as unique_chargeable_listings
from all_dates d
left join
int_kpis__agg_monthly_new_dash_created_services created
on d.date = created.end_date
and d.dimension = created.dimension
and d.dimension_value = created.dimension_value
left join
int_kpis__agg_monthly_new_dash_chargeable_services chargeable
on created.end_date = chargeable.end_date
and created.dimension = chargeable.dimension
and created.dimension_value = chargeable.dimension_value
left join
int_kpis__agg_monthly_new_dash_deals_offered_services deals
on created.end_date = deals.date
and created.dimension = deals.dimension
and created.dimension_value = deals.dimension_value
left join
int_kpis__agg_monthly_new_dash_accommodation_offered_services accommodation
on created.end_date = accommodation.date
and created.dimension = accommodation.dimension
and created.dimension_value = accommodation.dimension_value
where d.is_end_of_month

290
models/intermediate/kpis/schema.yml
View file

@ -6727,14 +6727,11 @@ models:
The created services for a given time granularity, date or dates range, The created services for a given time granularity, date or dates range,
dimension and value. dimension and value.
- name: booking_with_created_services_count - name: created_bookings
data_type: bigint data_type: bigint
description: | description: |
The bookings with created services for a given time granularity, date or The amount of created bookings for a given time granularity, date or dates range,
dates range, dimension and value. dimension and value.
This is an approximation to booking count since different services can
apply to the same booking and these do not need to be created in the same
time period. Therefore, it's not an additive metric.
- name: total_chargeable_services - name: total_chargeable_services
data_type: integer data_type: integer
@ -8346,3 +8343,284 @@ models:
description: | description: |
The month-to-date Revenue Retained Post-Resolutions in GBP The month-to-date Revenue Retained Post-Resolutions in GBP
for a given date, dimension and value. for a given date, dimension and value.
- name: int_kpis__metric_daily_new_dash_created_bookings
description: |
This model computes the Daily Created Bookings with Services at the deepest granularity.
It only retrieves services that come from users that are in New Dash, as well
as it only considers services created after the user has moved to New Dash.
The unique key corresponds to the deepest granularity of the model,
in this case:
- date,
- id_booking,
- id_user_product_bundle,
- service_name,
- service_business_type
data_tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- date
- id_booking
- id_user_product_bundle
- service_name
- service_business_type
columns:
- name: date
data_type: date
description: Date of when the Booking was created.
data_tests:
- not_null
- name: id_booking
data_type: bigint
description: Unique identifier of the Booking.
data_tests:
- not_null
- name: id_user_product_bundle
data_type: bigint
description: Unique identifier of the User Product Bundle.
data_tests:
- not_null
- name: service_name
data_type: string
description: Name of the created service.
data_tests:
- not_null
- name: id_deal
data_type: string
description: Unique identifier of an account.
data_tests:
- not_null
- name: is_upgraded_service
data_type: string
description: |
Whether the service is an upgraded version of the
default. In other words, if it's not Basic Screening.
data_tests:
- not_null
- accepted_values:
values:
- "YES"
- "NO"
- name: service_business_type
data_type: string
description: |
Identifies the service type (Screening, Deposit Management, Protection
or Guest Agreement) according to New Pricing documentation.
Cannot be null.
data_tests:
- not_null
- accepted_values:
values:
- "SCREENING"
- "PROTECTION"
- "DEPOSIT_MANAGEMENT"
- "GUEST_AGREEMENT"
- "UNKNOWN"
- "UNSET"
- name: new_dash_version
data_type: string
description: |
The version of the New Dash. It corresponds to the
release or migration phase from user point of view.
data_tests:
- not_null
- name: active_accommodations_per_deal_segmentation
data_type: string
description: |
Segment value based on the number of listings booked in 12 months
for a given deal and date.
data_tests:
- not_null
- accepted_values:
values:
- "0"
- "01-05"
- "06-20"
- "21-60"
- "61+"
- "UNSET"
- name: main_billing_country_iso_3_per_deal
data_type: string
description: |
Main billing country of the host aggregated at Deal level.
data_tests:
- not_null
- name: int_kpis__agg_weekly_new_dash_created_bookings
description: |
This model computes the dimension aggregation for Weekly Created Bookings with Services.
It only retrieves services that come from users that are in New Dash, as well
as it only considers services created after the user has moved to New Dash.
The primary key of this model is end_date, dimension and dimension_value.
data_tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- dimension
- dimension_value
columns:
- name: start_date
data_type: date
description: |
The start date of the time range considered for the metrics in this record.
data_tests:
- not_null
- name: end_date
data_type: date
description: |
The end date of the time range considered for the metrics in this record.
data_tests:
- not_null
- name: dimension
data_type: string
description: The dimension or granularity of the metrics.
data_tests:
- assert_dimension_completeness:
metric_column_names:
- created_bookings
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- by_new_dash_version
- by_has_upgraded_service
- by_service
- by_service_business_type
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
data_tests:
- not_null
- name: created_bookings
data_type: bigint
description: The weekly created bookings for a given date range, dimension and value.
- name: int_kpis__agg_monthly_new_dash_created_bookings
description: |
This model computes the dimension aggregation for Monthly Created Bookings with Services.
It only retrieves services that come from users that are in New Dash, as well
as it only considers services created after the user has moved to New Dash.
The primary key of this model is end_date, dimension and dimension_value.
data_tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- dimension
- dimension_value
columns:
- name: start_date
data_type: date
description: |
The start date of the time range considered for the metrics in this record.
data_tests:
- not_null
- name: end_date
data_type: date
description: |
The end date of the time range considered for the metrics in this record.
data_tests:
- not_null
- name: dimension
data_type: string
description: The dimension or granularity of the metrics.
data_tests:
- assert_dimension_completeness:
metric_column_names:
- created_bookings
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- by_new_dash_version
- by_has_upgraded_service
- by_service
- by_service_business_type
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
data_tests:
- not_null
- name: created_bookings
data_type: bigint
description: The monthly created bookings for a given date range, dimension and value.
- name: int_kpis__agg_daily_new_dash_created_bookings
description: |
This model computes the dimension aggregation for Daily Created Bookings with Services.
It only retrieves services that come from users that are in New Dash, as well
as it only considers services created after the user has moved to New Dash.
The primary key of this model is date, dimension and dimension_value.
data_tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- date
- dimension
- dimension_value
columns:
- name: date
data_type: date
description: |
The daily date acting as time range for the metrics in this record.
data_tests:
- not_null
- name: dimension
data_type: string
description: The dimension or granularity of the metrics.
data_tests:
- assert_dimension_completeness:
metric_column_names:
- created_bookings
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- by_new_dash_version
- by_has_upgraded_service
- by_service
- by_service_business_type
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
data_tests:
- not_null
- name: created_bookings
data_type: bigint
description: The daily created bookings for a given date, dimension and value.

2
models/reporting/kpis/kpis__product_new_dash_agg_metrics.sql
View file

@ -11,7 +11,7 @@ select
deal_with_offered_service_count as deal_with_offered_service_count, deal_with_offered_service_count as deal_with_offered_service_count,
accommodation_with_offered_service_count accommodation_with_offered_service_count
as accommodation_with_offered_service_count, as accommodation_with_offered_service_count,
booking_with_created_services_count as booking_with_created_services_count, created_bookings as created_bookings,
total_chargeable_services as total_chargeable_services, total_chargeable_services as total_chargeable_services,
total_chargeable_amount_in_gbp as total_chargeable_amount_in_gbp, total_chargeable_amount_in_gbp as total_chargeable_amount_in_gbp,
unique_chargeable_bookings as unique_chargeable_bookings, unique_chargeable_bookings as unique_chargeable_bookings,

9
models/reporting/kpis/schema.yml
View file

@ -327,14 +327,11 @@ models:
description: | description: |
The count of accommodations with services offered by a given date, dimension and value. The count of accommodations with services offered by a given date, dimension and value.
- name: booking_with_created_services_count - name: created_bookings
data_type: bigint data_type: bigint
description: | description: |
The bookings with created services for a given time granularity, date or The amount of created bookings for a given time granularity, date or dates range,
dates range, dimension and value. dimension and value.
This is an approximation to booking count since different services can
apply to the same booking and these do not need to be created in the same
time period. Therefore, it's not an additive metric.
- name: total_chargeable_services - name: total_chargeable_services
data_type: integer data_type: integer