105 lines
2.9 KiB
MySQL
105 lines
2.9 KiB
MySQL
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/*
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This test is applied in the reporting layer for Main KPIs,
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specifically on reporting.mtd_aggregated_metrics.
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It just ensures that for the last available date, the sum of metrics
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for any dimension provides an equal or lower aggregated value compared
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to what is expected at Global level. This is because some dimensions
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depend on Deal, and not all users have a Deal, thus it's normal that
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the aggregation might not match the Global value on a given metric.
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However, the aggregation cannot be higher than the value reported in
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the Global dimension.
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*/
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{% set additive_metric_names = (
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'Cancelled Bookings',
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'Check-In Hero Amount Paid by Guests',
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'Checkout Bookings',
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'Churning Deals',
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'Churning Listings',
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'Created Bookings',
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'Deals Booked in 12 Months',
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'Deals Booked in 6 Months',
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'Deals Booked in Month',
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'Deposit Fees',
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'Est. Billable Bookings',
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'First Time Booked Deals',
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'First Time Booked Listings',
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'Guest Journey Completed',
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'Guest Journey Created',
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'Guest Journey Started',
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'Guest Journey with Payment',
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'Guest Payments',
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'Guest Revenue',
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'Host Resolutions Amount Paid',
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'Host Resolutions Payment Count',
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'Invoiced APIs Revenue',
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'Invoiced Booking Fees',
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'Invoiced E-Deposit Fees',
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'Invoiced Guesty Fees',
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'Invoiced Listing Fees',
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'Invoiced Operator Revenue',
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'Invoiced Verification Fees',
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'Listings Booked in 12 Months',
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'Listings Booked in 6 Months',
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'Listings Booked in Month',
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'New Deals',
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'New Listings',
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'Total Revenue',
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'Waiver Amount Paid back to Hosts',
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'Waiver Amount Paid by Guests',
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'Waiver Net Fees')
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%}
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with
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dimensions_total_metric_values as (
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select
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date,
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dimension,
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metric,
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number_format,
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sum(value) as total_metric_value
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from {{ ref("mtd_aggregated_metrics") }}
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where
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date in (select max(date) from {{ ref("mtd_aggregated_metrics") }}) and
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metric in {{ additive_metric_names }}
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group by date, dimension, metric, number_format
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),
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global_dimension_metric_values as (
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select date,
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dimension,
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metric,
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number_format,
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total_metric_value
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from dimensions_total_metric_values
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where dimension = 'Global'
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),
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other_dimension_metric_values as (
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select date,
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dimension,
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metric,
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number_format,
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total_metric_value
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from dimensions_total_metric_values
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where dimension != 'Global'
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),
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difference_computation as (
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select
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g.date,
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g.metric,
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o.dimension,
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g.number_format,
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abs(g.total_metric_value) as global_metric_value,
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abs(o.total_metric_value) as dimension_metric_value,
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abs(o.total_metric_value) - abs(g.total_metric_value) as abs_diff,
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abs(o.total_metric_value) / nullif(abs(g.total_metric_value),0) - 1 as rel_diff
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from global_dimension_metric_values as g
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left join other_dimension_metric_values as o
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on g.date = o.date
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and g.metric = o.metric
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)
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select *
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from difference_computation
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where abs_diff > 0
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