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Update Snowflake snapshots
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courtneyholcomb committed Nov 1, 2023
1 parent 155794e commit 6e42eb2
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-- Compute Metrics via Expressions
SELECT
metric_time__day
, COALESCE(bookers, 0) AS every_two_days_bookers_fill_0
FROM (
-- Join to Time Spine Dataset
SELECT
subq_18.ds AS metric_time__day
, subq_16.bookers AS bookers
FROM ***************************.mf_time_spine subq_18
LEFT OUTER JOIN (
-- Join Self Over Time Range
-- Pass Only Elements:
-- ['bookers', 'metric_time__day']
-- Aggregate Measures
SELECT
subq_13.ds AS metric_time__day
, COUNT(DISTINCT bookings_source_src_10001.guest_id) AS bookers
FROM ***************************.mf_time_spine subq_13
INNER JOIN
***************************.fct_bookings bookings_source_src_10001
ON
(
DATE_TRUNC('day', bookings_source_src_10001.ds) <= subq_13.ds
) AND (
DATE_TRUNC('day', bookings_source_src_10001.ds) > DATEADD(day, -2, subq_13.ds)
)
GROUP BY
subq_13.ds
) subq_16
ON
subq_18.ds = subq_16.metric_time__day
) subq_19

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-- Compute Metrics via Expressions
SELECT
metric_time__day
, bookings_fill_0 - bookings_2_weeks_ago AS bookings_growth_2_weeks_fill_0_for_non_offset
FROM (
-- Combine Metrics
SELECT
COALESCE(subq_24.metric_time__day, subq_32.metric_time__day) AS metric_time__day
, subq_24.bookings_fill_0 AS bookings_fill_0
, subq_32.bookings_2_weeks_ago AS bookings_2_weeks_ago
FROM (
-- Compute Metrics via Expressions
SELECT
metric_time__day
, COALESCE(bookings, 0) AS bookings_fill_0
FROM (
-- Join to Time Spine Dataset
SELECT
subq_22.ds AS metric_time__day
, subq_20.bookings AS bookings
FROM ***************************.mf_time_spine subq_22
LEFT OUTER JOIN (
-- Aggregate Measures
SELECT
metric_time__day
, SUM(bookings) AS bookings
FROM (
-- Read Elements From Semantic Model 'bookings_source'
-- Metric Time Dimension 'ds'
-- Pass Only Elements:
-- ['bookings', 'metric_time__day']
SELECT
DATE_TRUNC('day', ds) AS metric_time__day
, 1 AS bookings
FROM ***************************.fct_bookings bookings_source_src_10001
) subq_19
GROUP BY
metric_time__day
) subq_20
ON
subq_22.ds = subq_20.metric_time__day
) subq_23
) subq_24
INNER JOIN (
-- Join to Time Spine Dataset
-- Pass Only Elements:
-- ['bookings', 'metric_time__day']
-- Aggregate Measures
-- Compute Metrics via Expressions
SELECT
subq_28.ds AS metric_time__day
, SUM(subq_26.bookings) AS bookings_2_weeks_ago
FROM ***************************.mf_time_spine subq_28
INNER JOIN (
-- Read Elements From Semantic Model 'bookings_source'
-- Metric Time Dimension 'ds'
SELECT
DATE_TRUNC('day', ds) AS metric_time__day
, 1 AS bookings
FROM ***************************.fct_bookings bookings_source_src_10001
) subq_26
ON
DATEADD(day, -14, subq_28.ds) = subq_26.metric_time__day
GROUP BY
subq_28.ds
) subq_32
ON
(
subq_24.metric_time__day = subq_32.metric_time__day
) OR (
(
subq_24.metric_time__day IS NULL
) AND (
subq_32.metric_time__day IS NULL
)
)
) subq_33
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-- Compute Metrics via Expressions
SELECT
subq_3.booking__is_instant
, COALESCE(subq_3.bookings, 0) AS bookings_fill_0
FROM (
-- Aggregate Measures
SELECT
subq_2.booking__is_instant
, SUM(subq_2.bookings) AS bookings
FROM (
-- Pass Only Elements:
-- ['bookings', 'booking__is_instant']
SELECT
subq_1.booking__is_instant
, subq_1.bookings
FROM (
-- Metric Time Dimension 'ds'
SELECT
subq_0.ds__day
, subq_0.ds__week
, subq_0.ds__month
, subq_0.ds__quarter
, subq_0.ds__year
, subq_0.ds__extract_year
, subq_0.ds__extract_quarter
, subq_0.ds__extract_month
, subq_0.ds__extract_day
, subq_0.ds__extract_dow
, subq_0.ds__extract_doy
, subq_0.ds_partitioned__day
, subq_0.ds_partitioned__week
, subq_0.ds_partitioned__month
, subq_0.ds_partitioned__quarter
, subq_0.ds_partitioned__year
, subq_0.ds_partitioned__extract_year
, subq_0.ds_partitioned__extract_quarter
, subq_0.ds_partitioned__extract_month
, subq_0.ds_partitioned__extract_day
, subq_0.ds_partitioned__extract_dow
, subq_0.ds_partitioned__extract_doy
, subq_0.paid_at__day
, subq_0.paid_at__week
, subq_0.paid_at__month
, subq_0.paid_at__quarter
, subq_0.paid_at__year
, subq_0.paid_at__extract_year
, subq_0.paid_at__extract_quarter
, subq_0.paid_at__extract_month
, subq_0.paid_at__extract_day
, subq_0.paid_at__extract_dow
, subq_0.paid_at__extract_doy
, subq_0.booking__ds__day
, subq_0.booking__ds__week
, subq_0.booking__ds__month
, subq_0.booking__ds__quarter
, subq_0.booking__ds__year
, subq_0.booking__ds__extract_year
, subq_0.booking__ds__extract_quarter
, subq_0.booking__ds__extract_month
, subq_0.booking__ds__extract_day
, subq_0.booking__ds__extract_dow
, subq_0.booking__ds__extract_doy
, subq_0.booking__ds_partitioned__day
, subq_0.booking__ds_partitioned__week
, subq_0.booking__ds_partitioned__month
, subq_0.booking__ds_partitioned__quarter
, subq_0.booking__ds_partitioned__year
, subq_0.booking__ds_partitioned__extract_year
, subq_0.booking__ds_partitioned__extract_quarter
, subq_0.booking__ds_partitioned__extract_month
, subq_0.booking__ds_partitioned__extract_day
, subq_0.booking__ds_partitioned__extract_dow
, subq_0.booking__ds_partitioned__extract_doy
, subq_0.booking__paid_at__day
, subq_0.booking__paid_at__week
, subq_0.booking__paid_at__month
, subq_0.booking__paid_at__quarter
, subq_0.booking__paid_at__year
, subq_0.booking__paid_at__extract_year
, subq_0.booking__paid_at__extract_quarter
, subq_0.booking__paid_at__extract_month
, subq_0.booking__paid_at__extract_day
, subq_0.booking__paid_at__extract_dow
, subq_0.booking__paid_at__extract_doy
, subq_0.ds__day AS metric_time__day
, subq_0.ds__week AS metric_time__week
, subq_0.ds__month AS metric_time__month
, subq_0.ds__quarter AS metric_time__quarter
, subq_0.ds__year AS metric_time__year
, subq_0.ds__extract_year AS metric_time__extract_year
, subq_0.ds__extract_quarter AS metric_time__extract_quarter
, subq_0.ds__extract_month AS metric_time__extract_month
, subq_0.ds__extract_day AS metric_time__extract_day
, subq_0.ds__extract_dow AS metric_time__extract_dow
, subq_0.ds__extract_doy AS metric_time__extract_doy
, subq_0.listing
, subq_0.guest
, subq_0.host
, subq_0.booking__listing
, subq_0.booking__guest
, subq_0.booking__host
, subq_0.is_instant
, subq_0.booking__is_instant
, subq_0.bookings
, subq_0.instant_bookings
, subq_0.booking_value
, subq_0.max_booking_value
, subq_0.min_booking_value
, subq_0.bookers
, subq_0.average_booking_value
, subq_0.referred_bookings
, subq_0.median_booking_value
, subq_0.booking_value_p99
, subq_0.discrete_booking_value_p99
, subq_0.approximate_continuous_booking_value_p99
, subq_0.approximate_discrete_booking_value_p99
FROM (
-- Read Elements From Semantic Model 'bookings_source'
SELECT
1 AS bookings
, CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings
, bookings_source_src_10001.booking_value
, bookings_source_src_10001.booking_value AS max_booking_value
, bookings_source_src_10001.booking_value AS min_booking_value
, bookings_source_src_10001.guest_id AS bookers
, bookings_source_src_10001.booking_value AS average_booking_value
, bookings_source_src_10001.booking_value AS booking_payments
, CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings
, bookings_source_src_10001.booking_value AS median_booking_value
, bookings_source_src_10001.booking_value AS booking_value_p99
, bookings_source_src_10001.booking_value AS discrete_booking_value_p99
, bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99
, bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99
, bookings_source_src_10001.is_instant
, DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day
, DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week
, DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month
, DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter
, DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year
, EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year
, EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter
, EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month
, EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day
, EXTRACT(dayofweekiso FROM bookings_source_src_10001.ds) AS ds__extract_dow
, EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy
, DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day
, DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week
, DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month
, DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter
, DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year
, EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year
, EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter
, EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month
, EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day
, EXTRACT(dayofweekiso FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow
, EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy
, DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day
, DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week
, DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month
, DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter
, DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year
, EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year
, EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter
, EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month
, EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day
, EXTRACT(dayofweekiso FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow
, EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy
, bookings_source_src_10001.is_instant AS booking__is_instant
, DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day
, DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week
, DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month
, DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter
, DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year
, EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year
, EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter
, EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month
, EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day
, EXTRACT(dayofweekiso FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow
, EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy
, DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day
, DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week
, DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month
, DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter
, DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year
, EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year
, EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter
, EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month
, EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day
, EXTRACT(dayofweekiso FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow
, EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy
, DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day
, DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week
, DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month
, DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter
, DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year
, EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year
, EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter
, EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month
, EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day
, EXTRACT(dayofweekiso FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow
, EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy
, bookings_source_src_10001.listing_id AS listing
, bookings_source_src_10001.guest_id AS guest
, bookings_source_src_10001.host_id AS host
, bookings_source_src_10001.listing_id AS booking__listing
, bookings_source_src_10001.guest_id AS booking__guest
, bookings_source_src_10001.host_id AS booking__host
FROM ***************************.fct_bookings bookings_source_src_10001
) subq_0
) subq_1
) subq_2
GROUP BY
subq_2.booking__is_instant
) subq_3
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-- Compute Metrics via Expressions
SELECT
booking__is_instant
, COALESCE(bookings, 0) AS bookings_fill_0
FROM (
-- Aggregate Measures
SELECT
booking__is_instant
, SUM(bookings) AS bookings
FROM (
-- Read Elements From Semantic Model 'bookings_source'
-- Metric Time Dimension 'ds'
-- Pass Only Elements:
-- ['bookings', 'booking__is_instant']
SELECT
is_instant AS booking__is_instant
, 1 AS bookings
FROM ***************************.fct_bookings bookings_source_src_10001
) subq_6
GROUP BY
booking__is_instant
) subq_7
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