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