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Update SQL engine snapshots
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@courtneyholcomb
courtneyholcomb committed Sep 24, 2024
1 parent 4ba8aae commit c6b4526
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164 changes: 164 additions & 0 deletions ...larity.py/SqlQueryPlan/BigQuery/test_cumulative_metric_with_custom_granularity__plan0.sql
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-- Re-aggregate Metric via Group By
SELECT
subq_9.metric_time__martian_day
, subq_9.trailing_2_months_revenue
FROM (
-- Window Function for Metric Re-aggregation
SELECT
subq_8.metric_time__martian_day
, AVG(subq_8.trailing_2_months_revenue) OVER (PARTITION BY subq_8.metric_time__martian_day) AS trailing_2_months_revenue
FROM (
-- Compute Metrics via Expressions
SELECT
subq_7.metric_time__martian_day
, subq_7.metric_time__day
, subq_7.txn_revenue AS trailing_2_months_revenue
FROM (
-- Aggregate Measures
SELECT
subq_6.metric_time__martian_day
, subq_6.metric_time__day
, SUM(subq_6.txn_revenue) AS txn_revenue
FROM (
-- Pass Only Elements: ['txn_revenue', 'metric_time__day', 'metric_time__day']
-- Join to Custom Granularity Dataset
SELECT
subq_4.metric_time__day AS metric_time__day
, subq_4.txn_revenue AS txn_revenue
, subq_5.martian_day AS metric_time__martian_day
FROM (
-- Join Self Over Time Range
SELECT
subq_2.metric_time__day AS metric_time__day
, subq_1.ds__day AS ds__day
, subq_1.ds__week AS ds__week
, subq_1.ds__month AS ds__month
, subq_1.ds__quarter AS ds__quarter
, subq_1.ds__year AS ds__year
, subq_1.ds__extract_year AS ds__extract_year
, subq_1.ds__extract_quarter AS ds__extract_quarter
, subq_1.ds__extract_month AS ds__extract_month
, subq_1.ds__extract_day AS ds__extract_day
, subq_1.ds__extract_dow AS ds__extract_dow
, subq_1.ds__extract_doy AS ds__extract_doy
, subq_1.revenue_instance__ds__day AS revenue_instance__ds__day
, subq_1.revenue_instance__ds__week AS revenue_instance__ds__week
, subq_1.revenue_instance__ds__month AS revenue_instance__ds__month
, subq_1.revenue_instance__ds__quarter AS revenue_instance__ds__quarter
, subq_1.revenue_instance__ds__year AS revenue_instance__ds__year
, subq_1.revenue_instance__ds__extract_year AS revenue_instance__ds__extract_year
, subq_1.revenue_instance__ds__extract_quarter AS revenue_instance__ds__extract_quarter
, subq_1.revenue_instance__ds__extract_month AS revenue_instance__ds__extract_month
, subq_1.revenue_instance__ds__extract_day AS revenue_instance__ds__extract_day
, subq_1.revenue_instance__ds__extract_dow AS revenue_instance__ds__extract_dow
, subq_1.revenue_instance__ds__extract_doy AS revenue_instance__ds__extract_doy
, subq_1.metric_time__week AS metric_time__week
, subq_1.metric_time__month AS metric_time__month
, subq_1.metric_time__quarter AS metric_time__quarter
, subq_1.metric_time__year AS metric_time__year
, subq_1.metric_time__extract_year AS metric_time__extract_year
, subq_1.metric_time__extract_quarter AS metric_time__extract_quarter
, subq_1.metric_time__extract_month AS metric_time__extract_month
, subq_1.metric_time__extract_day AS metric_time__extract_day
, subq_1.metric_time__extract_dow AS metric_time__extract_dow
, subq_1.metric_time__extract_doy AS metric_time__extract_doy
, subq_1.user AS user
, subq_1.revenue_instance__user AS revenue_instance__user
, subq_1.txn_revenue AS txn_revenue
FROM (
-- Time Spine
SELECT
subq_3.ds AS metric_time__day
FROM ***************************.mf_time_spine subq_3
) subq_2
INNER JOIN (
-- 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.revenue_instance__ds__day
, subq_0.revenue_instance__ds__week
, subq_0.revenue_instance__ds__month
, subq_0.revenue_instance__ds__quarter
, subq_0.revenue_instance__ds__year
, subq_0.revenue_instance__ds__extract_year
, subq_0.revenue_instance__ds__extract_quarter
, subq_0.revenue_instance__ds__extract_month
, subq_0.revenue_instance__ds__extract_day
, subq_0.revenue_instance__ds__extract_dow
, subq_0.revenue_instance__ds__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.user
, subq_0.revenue_instance__user
, subq_0.txn_revenue
FROM (
-- Read Elements From Semantic Model 'revenue'
SELECT
revenue_src_28000.revenue AS txn_revenue
, DATETIME_TRUNC(revenue_src_28000.created_at, day) AS ds__day
, DATETIME_TRUNC(revenue_src_28000.created_at, isoweek) AS ds__week
, DATETIME_TRUNC(revenue_src_28000.created_at, month) AS ds__month
, DATETIME_TRUNC(revenue_src_28000.created_at, quarter) AS ds__quarter
, DATETIME_TRUNC(revenue_src_28000.created_at, year) AS ds__year
, EXTRACT(year FROM revenue_src_28000.created_at) AS ds__extract_year
, EXTRACT(quarter FROM revenue_src_28000.created_at) AS ds__extract_quarter
, EXTRACT(month FROM revenue_src_28000.created_at) AS ds__extract_month
, EXTRACT(day FROM revenue_src_28000.created_at) AS ds__extract_day
, IF(EXTRACT(dayofweek FROM revenue_src_28000.created_at) = 1, 7, EXTRACT(dayofweek FROM revenue_src_28000.created_at) - 1) AS ds__extract_dow
, EXTRACT(dayofyear FROM revenue_src_28000.created_at) AS ds__extract_doy
, DATETIME_TRUNC(revenue_src_28000.created_at, day) AS revenue_instance__ds__day
, DATETIME_TRUNC(revenue_src_28000.created_at, isoweek) AS revenue_instance__ds__week
, DATETIME_TRUNC(revenue_src_28000.created_at, month) AS revenue_instance__ds__month
, DATETIME_TRUNC(revenue_src_28000.created_at, quarter) AS revenue_instance__ds__quarter
, DATETIME_TRUNC(revenue_src_28000.created_at, year) AS revenue_instance__ds__year
, EXTRACT(year FROM revenue_src_28000.created_at) AS revenue_instance__ds__extract_year
, EXTRACT(quarter FROM revenue_src_28000.created_at) AS revenue_instance__ds__extract_quarter
, EXTRACT(month FROM revenue_src_28000.created_at) AS revenue_instance__ds__extract_month
, EXTRACT(day FROM revenue_src_28000.created_at) AS revenue_instance__ds__extract_day
, IF(EXTRACT(dayofweek FROM revenue_src_28000.created_at) = 1, 7, EXTRACT(dayofweek FROM revenue_src_28000.created_at) - 1) AS revenue_instance__ds__extract_dow
, EXTRACT(dayofyear FROM revenue_src_28000.created_at) AS revenue_instance__ds__extract_doy
, revenue_src_28000.user_id AS user
, revenue_src_28000.user_id AS revenue_instance__user
FROM ***************************.fct_revenue revenue_src_28000
) subq_0
) subq_1
ON
(
subq_1.metric_time__day <= subq_2.metric_time__day
) AND (
subq_1.metric_time__day > DATE_SUB(CAST(subq_2.metric_time__day AS DATETIME), INTERVAL 2 month)
)
) subq_4
LEFT OUTER JOIN
***************************.mf_time_spine subq_5
ON
subq_4.metric_time__day = subq_5.ds
) subq_6
GROUP BY
metric_time__martian_day
, metric_time__day
) subq_7
) subq_8
) subq_9
GROUP BY
metric_time__martian_day
, trailing_2_months_revenue
45 changes: 45 additions & 0 deletions ...SqlQueryPlan/BigQuery/test_cumulative_metric_with_custom_granularity__plan0_optimized.sql
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-- Re-aggregate Metric via Group By
SELECT
metric_time__martian_day
, trailing_2_months_revenue
FROM (
-- Compute Metrics via Expressions
-- Window Function for Metric Re-aggregation
SELECT
metric_time__martian_day
, AVG(txn_revenue) OVER (PARTITION BY metric_time__martian_day) AS trailing_2_months_revenue
FROM (
-- Pass Only Elements: ['txn_revenue', 'metric_time__day', 'metric_time__day']
-- Join to Custom Granularity Dataset
-- Aggregate Measures
SELECT
subq_15.martian_day AS metric_time__martian_day
, subq_14.metric_time__day AS metric_time__day
, SUM(subq_14.txn_revenue) AS txn_revenue
FROM (
-- Join Self Over Time Range
SELECT
subq_13.ds AS metric_time__day
, revenue_src_28000.revenue AS txn_revenue
FROM ***************************.mf_time_spine subq_13
INNER JOIN
***************************.fct_revenue revenue_src_28000
ON
(
DATETIME_TRUNC(revenue_src_28000.created_at, day) <= subq_13.ds
) AND (
DATETIME_TRUNC(revenue_src_28000.created_at, day) > DATE_SUB(CAST(subq_13.ds AS DATETIME), INTERVAL 2 month)
)
) subq_14
LEFT OUTER JOIN
***************************.mf_time_spine subq_15
ON
subq_14.metric_time__day = subq_15.ds
GROUP BY
metric_time__martian_day
, metric_time__day
) subq_17
) subq_19
GROUP BY
metric_time__martian_day
, trailing_2_months_revenue
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