8ddb695947
# Description Adds GJ Created, Started and Completed. Each model has: * A Daily model * A Monthly/MTD without dimension aggregate * A Monthly/MTD with dimension aggregate * A comparison vs. the current flow of KPIs in the form of a test It's quite similar as for Created Bookings. The main difference is that 1) reads from Verification Requests table and 2) I don't compute a New Dash dimension. This helps actually validating the logic of the dimension configuration macro, which works good. I confirm that the 3 tests of comparison vs. current data work well in my local - i.e. identical content for Global, Billing Country for these 3 metrics since 2022. This does not include: * Guest Journeys with Payment. I'll do this in a separated PR * Guest Payments/Revenue. I'll do this in a separated PR # 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. - [NA] I have checked for DRY opportunities with other models and docs. **Briefly discussed with Pablo, we'll leave it like this for the time being** - [X] I've picked the right materialization for the affected models. **Runs quite fast** # Other - [ ] Check if a full-refresh is required after this PR is merged. Related work items: #23453
1460 lines
44 KiB
YAML
1460 lines
44 KiB
YAML
version: 2
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models:
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- name: int_kpis__dimension_dates
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description: |
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This model provides the daily time dimensionality needed for KPIs.
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It only considers dates up-to-yesterday.
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columns:
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- name: date
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data_type: date
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description: Specific date. It's the primary key of this model.
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tests:
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- unique
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- not_null
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- name: year
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data_type: int
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description: Year number of the given date.
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tests:
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- not_null
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- name: month
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data_type: int
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description: Month number of the given date.
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tests:
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- not_null
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- name: day
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data_type: int
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description: Day monthly number of the given date.
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tests:
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- not_null
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- name: first_day_month
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data_type: date
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description: |
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First day of the month correspoding to the date field.
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tests:
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- not_null
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- name: last_day_month
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data_type: date
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description: |
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Last day of the month correspoding to the date field.
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tests:
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- not_null
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- name: is_end_of_month
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data_type: boolean
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description: True if it's end of month, false otherwise.
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tests:
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- not_null
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- name: is_current_month
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data_type: boolean
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description: |
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True if the date is within the current month, false otherwise.
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tests:
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- not_null
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- name: is_month_to_date
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data_type: boolean
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description: |
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True if the date is within the scope of month-to-date, false otherwise.
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The scope of month-to-date takes into account both 1) a date being in
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the current month or 2) a date corresponding to the same month of the
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previous year, which day number cannot be higher than yesterday's day
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number.
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tests:
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- not_null
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- name: int_kpis__lifecycle_daily_accommodation
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description: |
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This model computes the daily lifecycle segment for each accommodation, also known as
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listings.
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The information regarding the booking-related time allows for the current status of any listing
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regarding its activity. This information is encapsulated in the following columns:
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accommodation_lifecycle_state: contains one of the following states
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- 01-New: Listings that have been created in the current month, without bookings
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- 02-Never Booked: Listings that have been created before the current month, without bookings.
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- 03-First Time Booked: Listings that have been booked for the first time in the current month.
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- 04-Active: Listings that have booking activity in the past 12 months (that are not FTB nor reactivated)
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- 05-Churning: Listings that are becoming inactive because of lack of bookings in the past 12 months
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- 06-Inactive: Listings that have not had a booking for more than 12 months.
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- 07-Reactivated: Listings that have had a booking in the current month that were inactive or churning before.
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- Finally, if none of the logic applies, which should not happen, null will be set and a dbt alert will raise.
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Since the states of Active, First Time Booked and Reactivated indicate certain booking activity and are
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mutually exclusive, the model also provides information of the recency of the bookings by the following
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booleans:
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- has_been_booked_within_current_month: If a listing has had a booking created in the current month
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- has_been_booked_within_last_6_months: If a listing has had a booking created in the past 6 months
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- has_been_booked_within_last_12_months: If a listing has had a booking created in the past 12 months
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Note that if a listing has had a booking created in a given month, all 3 columns will be true. Similarly,
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if the last booking created to a listing was 5 months ago, only the column has_been_booked_in_1_month
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will be false; while the other 2 will be true.
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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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- id_accommodation
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columns:
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- name: date
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data_type: date
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description: Date in which a Listing has a given lifecycle state.
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tests:
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- not_null
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- name: id_accommodation
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data_type: bigint
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description: Id of the accommodation or listing.
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tests:
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- not_null
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- name: creation_date_utc
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data_type: date
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description: Date of when the listing was created.
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- name: first_time_booked_date_utc
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data_type: date
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description: |
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Date of the first booking created for a given listing. Can be null if the listing
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has never had a booking associated with it.
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- name: last_time_booked_date_utc
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data_type: date
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description: |
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Date of the last booking created for a given listing. Can be null if the listing
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has never had a booking associated with it. Can be the same as first_time_booked_date_utc
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if the listing only had 1 booking in its history.
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- name: second_to_last_time_booked_date_utc
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data_type: date
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description: |
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Date of the second-to-last booking created for a given listing, meaning the creation
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date of the booking that precedes the last one. It's relevant for the reactivation computation
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on the lifecycle. Can be null if the listing has never had a booking associated with it or if
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the listing only had 1 booking in its history.
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- name: accommodation_lifecycle_state
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data_type: character varying
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description: |
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Contains the lifecycle state of a Listing. The accepted values are:
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01-New, 02-Never Booked, 03-First Time Booked, 04-Active, 05-Churning, 06-Inactive,
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07-Reactivated. Failing to implement the logic will result in alert.
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tests:
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- not_null
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- accepted_values:
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values:
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- 01-New
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- 02-Never Booked
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- 03-First Time Booked
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- 04-Active
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- 05-Churning
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- 06-Inactive
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- 07-Reactivated
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- name: has_been_booked_within_current_month
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data_type: boolean
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description: If the listing has had a booking created in the current month.
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- name: has_been_booked_within_last_6_months
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data_type: boolean
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description: If the listing has had a booking created in the past 6 months.
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- name: has_been_booked_within_last_12_months
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data_type: boolean
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description: If the listing has had a booking created in the past 12 months.
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- name: int_kpis__dimension_daily_accommodation
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description: |
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This model computes the deal segmentation per number of
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listings in a daily manner.
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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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- id_deal
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columns:
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- name: date
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data_type: date
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description: Specific date in which the segmentation applies.
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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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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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tests:
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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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- name: accommodations_booked_in_12_months
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data_type: bigint
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description:
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Actual volume of listings that have been booked in the past 12 months
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for a given deal and date.
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- name: int_kpis__metric_daily_created_bookings
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description: |
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This model computes the Daily Created Bookings at the deepest granularity.
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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_deal,
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- dash_source.
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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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- id_deal
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- dash_source
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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 Bookings have been created.
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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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tests:
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- not_null
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- name: dash_source
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data_type: string
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description: Dashboard source, either old or new.
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tests:
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- not_null
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- accepted_values:
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values:
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- "New Dash"
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- "Old Dash"
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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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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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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: |
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Count of daily bookings created in a given date and per specified dimension.
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- name: int_kpis__metric_monthly_created_bookings
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description: |
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This model computes the Monthly Created Bookings at the
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deepest granularity.
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Be aware that any dimension that can change over the monthly period,
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such as daily segmentations, are included in the primary key of the
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model.
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The unique key corresponds to:
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- end_date,
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- id_deal,
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- dash_source,
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- active_accommodations_per_deal_segmentation.
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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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- end_date
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- id_deal
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- dash_source
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- active_accommodations_per_deal_segmentation
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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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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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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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tests:
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- not_null
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- name: dash_source
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data_type: string
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description: Dashboard source, either old or new.
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tests:
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- not_null
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- accepted_values:
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values:
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- "New Dash"
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- "Old Dash"
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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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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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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: |
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Count of accummulated bookings created in a given month
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and per specified dimension.
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- name: int_kpis__metric_mtd_created_bookings
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description: |
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This model computes the Month-To-Date Created Bookings at the
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deepest granularity.
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Be aware that any dimension that can change over the monthly period,
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such as daily segmentations, are included in the primary key of the
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model.
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The unique key corresponds to:
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- end_date,
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- id_deal,
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- dash_source,
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- active_accommodations_per_deal_segmentation.
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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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- end_date
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- id_deal
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- dash_source
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- active_accommodations_per_deal_segmentation
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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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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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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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tests:
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- not_null
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- name: dash_source
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data_type: string
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description: Dashboard source, either old or new.
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tests:
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- not_null
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- accepted_values:
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values:
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- "New Dash"
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- "Old Dash"
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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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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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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: |
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Count of accummulated bookings created in a given month up to the
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given date and per specified dimension.
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- name: int_kpis__aggregated_monthly_created_bookings
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description: |
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This model computes the dimension aggregation for
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Monthly Created Bookings.
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The primary key of this model is end_date, dimension
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and dimension_value.
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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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- 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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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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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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- assert_dimension_completeness:
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metric_column_name: created_bookings
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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_dash_source
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- by_deal
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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: created_bookings
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data_type: bigint
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description: The monthly created bookings for a given date, dimension and value.
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- name: int_kpis__aggregated_mtd_created_bookings
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description: |
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This model computes the dimension aggregation for
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Month-To-Date Created Bookings.
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The primary key of this model is end_date, dimension
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and dimension_value.
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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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- 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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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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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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- assert_dimension_completeness:
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metric_column_name: created_bookings
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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_dash_source
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- by_deal
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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: created_bookings
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data_type: bigint
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description: The month-to-date created bookings for a given date, dimension and value.
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- name: int_kpis__metric_daily_created_guest_journeys
|
|
description: |
|
|
This model computes the Daily Created Guest Journeys at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Guest Journeys have been created.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys created in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_created_guest_journeys
|
|
description: |
|
|
This model computes the Monthly Created Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accummulated guest journeys created in a given month
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_created_guest_journeys
|
|
description: |
|
|
This model computes the Month-To-Date Created Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accummulated guest journeys created in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: int_kpis__aggregated_monthly_created_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Created Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_name: created_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: The monthtly created guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__aggregated_mtd_created_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Created Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_name: created_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: The month-to-date created guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_started_guest_journeys
|
|
description: |
|
|
This model computes the Daily Started Guest Journeys at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Guest Journeys have been started.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys started in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_started_guest_journeys
|
|
description: |
|
|
This model computes the Monthly Started Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accummulated guest journeys started in a given month
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_started_guest_journeys
|
|
description: |
|
|
This model computes the Month-To-Date Started Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accummulated guest journeys started in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: int_kpis__aggregated_monthly_started_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Started Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_name: started_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: The monthly started guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__aggregated_mtd_started_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Started Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_name: started_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: The month-to-date started guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_completed_guest_journeys
|
|
description: |
|
|
This model computes the Daily Completed Guest Journeys at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Guest Journeys have been completed.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_completed_guest_journeys
|
|
description: |
|
|
This model computes the Monthly Completed Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accummulated guest journeys completed in a given month
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_completed_guest_journeys
|
|
description: |
|
|
This model computes the Month-To-Date Completed Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
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.
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accummulated guest journeys completed in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: int_kpis__aggregated_monthly_completed_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Completed Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_name: completed_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: The monthly completed guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__aggregated_mtd_completed_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Completed Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
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.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_name: completed_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: The month-to-date completed guest journeys for a given date, dimension and value.
|