diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql new file mode 100644 index 0000000000..af6d4cbd39 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql @@ -0,0 +1,253 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.bookings AS bookings + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ds AS metric_time__day + , DATETIME_TRUNC(subq_7.ds, month) AS metric_time__month + FROM ***************************.mf_time_spine subq_7 + ) subq_8 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.bookings) AS bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.metric_time__month + , subq_2.bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day', 'metric_time__month'] + SELECT + subq_1.metric_time__day + , subq_1.metric_time__month + , 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_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS ds__day + , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS ds__week + , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS ds__month + , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS ds__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS ds__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS ds_partitioned__day + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS ds_partitioned__week + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS ds_partitioned__month + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS ds_partitioned__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS ds_partitioned__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS paid_at__day + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS paid_at__week + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS paid_at__month + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS paid_at__quarter + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS paid_at__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATETIME_TRUNC(bookings_source_src_28000.ds, day) AS booking__ds__day + , DATETIME_TRUNC(bookings_source_src_28000.ds, isoweek) AS booking__ds__week + , DATETIME_TRUNC(bookings_source_src_28000.ds, month) AS booking__ds__month + , DATETIME_TRUNC(bookings_source_src_28000.ds, quarter) AS booking__ds__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds, year) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds) - 1) AS booking__ds__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, day) AS booking__ds_partitioned__day + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, isoweek) AS booking__ds_partitioned__week + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, month) AS booking__ds_partitioned__month + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, quarter) AS booking__ds_partitioned__quarter + , DATETIME_TRUNC(bookings_source_src_28000.ds_partitioned, year) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.ds_partitioned) - 1) AS booking__ds_partitioned__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, day) AS booking__paid_at__day + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, isoweek) AS booking__paid_at__week + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, month) AS booking__paid_at__month + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, quarter) AS booking__paid_at__quarter + , DATETIME_TRUNC(bookings_source_src_28000.paid_at, year) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , IF(EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) = 1, 7, EXTRACT(dayofweek FROM bookings_source_src_28000.paid_at) - 1) AS booking__paid_at__extract_dow + , EXTRACT(dayofyear FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..7476b99dc0 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql @@ -0,0 +1,45 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ds AS metric_time__day + , DATETIME_TRUNC(ds, month) AS metric_time__month + FROM ***************************.mf_time_spine subq_17 + ) subq_18 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- 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', 'metric_time__month'] + SELECT + DATETIME_TRUNC(ds, day) AS metric_time__day + , DATETIME_TRUNC(ds, month) AS metric_time__month + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_12 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql new file mode 100644 index 0000000000..f9d9003f73 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql @@ -0,0 +1,438 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.archived_users AS archived_users + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ts AS metric_time__hour + , DATETIME_TRUNC(subq_7.ts, day) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_7 + ) subq_8 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + metric_time__day + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.archived_users) AS archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.archived_users + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__hour + , subq_2.metric_time__day + , subq_2.archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + subq_1.metric_time__hour + , subq_1.metric_time__day + , subq_1.archived_users + FROM ( + -- Metric Time Dimension 'archived_at' + 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.created_at__day + , subq_0.created_at__week + , subq_0.created_at__month + , subq_0.created_at__quarter + , subq_0.created_at__year + , subq_0.created_at__extract_year + , subq_0.created_at__extract_quarter + , subq_0.created_at__extract_month + , subq_0.created_at__extract_day + , subq_0.created_at__extract_dow + , subq_0.created_at__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.last_profile_edit_ts__millisecond + , subq_0.last_profile_edit_ts__second + , subq_0.last_profile_edit_ts__minute + , subq_0.last_profile_edit_ts__hour + , subq_0.last_profile_edit_ts__day + , subq_0.last_profile_edit_ts__week + , subq_0.last_profile_edit_ts__month + , subq_0.last_profile_edit_ts__quarter + , subq_0.last_profile_edit_ts__year + , subq_0.last_profile_edit_ts__extract_year + , subq_0.last_profile_edit_ts__extract_quarter + , subq_0.last_profile_edit_ts__extract_month + , subq_0.last_profile_edit_ts__extract_day + , subq_0.last_profile_edit_ts__extract_dow + , subq_0.last_profile_edit_ts__extract_doy + , subq_0.bio_added_ts__second + , subq_0.bio_added_ts__minute + , subq_0.bio_added_ts__hour + , subq_0.bio_added_ts__day + , subq_0.bio_added_ts__week + , subq_0.bio_added_ts__month + , subq_0.bio_added_ts__quarter + , subq_0.bio_added_ts__year + , subq_0.bio_added_ts__extract_year + , subq_0.bio_added_ts__extract_quarter + , subq_0.bio_added_ts__extract_month + , subq_0.bio_added_ts__extract_day + , subq_0.bio_added_ts__extract_dow + , subq_0.bio_added_ts__extract_doy + , subq_0.last_login_ts__minute + , subq_0.last_login_ts__hour + , subq_0.last_login_ts__day + , subq_0.last_login_ts__week + , subq_0.last_login_ts__month + , subq_0.last_login_ts__quarter + , subq_0.last_login_ts__year + , subq_0.last_login_ts__extract_year + , subq_0.last_login_ts__extract_quarter + , subq_0.last_login_ts__extract_month + , subq_0.last_login_ts__extract_day + , subq_0.last_login_ts__extract_dow + , subq_0.last_login_ts__extract_doy + , subq_0.archived_at__hour + , subq_0.archived_at__day + , subq_0.archived_at__week + , subq_0.archived_at__month + , subq_0.archived_at__quarter + , subq_0.archived_at__year + , subq_0.archived_at__extract_year + , subq_0.archived_at__extract_quarter + , subq_0.archived_at__extract_month + , subq_0.archived_at__extract_day + , subq_0.archived_at__extract_dow + , subq_0.archived_at__extract_doy + , subq_0.user__ds__day + , subq_0.user__ds__week + , subq_0.user__ds__month + , subq_0.user__ds__quarter + , subq_0.user__ds__year + , subq_0.user__ds__extract_year + , subq_0.user__ds__extract_quarter + , subq_0.user__ds__extract_month + , subq_0.user__ds__extract_day + , subq_0.user__ds__extract_dow + , subq_0.user__ds__extract_doy + , subq_0.user__created_at__day + , subq_0.user__created_at__week + , subq_0.user__created_at__month + , subq_0.user__created_at__quarter + , subq_0.user__created_at__year + , subq_0.user__created_at__extract_year + , subq_0.user__created_at__extract_quarter + , subq_0.user__created_at__extract_month + , subq_0.user__created_at__extract_day + , subq_0.user__created_at__extract_dow + , subq_0.user__created_at__extract_doy + , subq_0.user__ds_partitioned__day + , subq_0.user__ds_partitioned__week + , subq_0.user__ds_partitioned__month + , subq_0.user__ds_partitioned__quarter + , subq_0.user__ds_partitioned__year + , subq_0.user__ds_partitioned__extract_year + , subq_0.user__ds_partitioned__extract_quarter + , subq_0.user__ds_partitioned__extract_month + , subq_0.user__ds_partitioned__extract_day + , subq_0.user__ds_partitioned__extract_dow + , subq_0.user__ds_partitioned__extract_doy + , subq_0.user__last_profile_edit_ts__millisecond + , subq_0.user__last_profile_edit_ts__second + , subq_0.user__last_profile_edit_ts__minute + , subq_0.user__last_profile_edit_ts__hour + , subq_0.user__last_profile_edit_ts__day + , subq_0.user__last_profile_edit_ts__week + , subq_0.user__last_profile_edit_ts__month + , subq_0.user__last_profile_edit_ts__quarter + , subq_0.user__last_profile_edit_ts__year + , subq_0.user__last_profile_edit_ts__extract_year + , subq_0.user__last_profile_edit_ts__extract_quarter + , subq_0.user__last_profile_edit_ts__extract_month + , subq_0.user__last_profile_edit_ts__extract_day + , subq_0.user__last_profile_edit_ts__extract_dow + , subq_0.user__last_profile_edit_ts__extract_doy + , subq_0.user__bio_added_ts__second + , subq_0.user__bio_added_ts__minute + , subq_0.user__bio_added_ts__hour + , subq_0.user__bio_added_ts__day + , subq_0.user__bio_added_ts__week + , subq_0.user__bio_added_ts__month + , subq_0.user__bio_added_ts__quarter + , subq_0.user__bio_added_ts__year + , subq_0.user__bio_added_ts__extract_year + , subq_0.user__bio_added_ts__extract_quarter + , subq_0.user__bio_added_ts__extract_month + , subq_0.user__bio_added_ts__extract_day + , subq_0.user__bio_added_ts__extract_dow + , subq_0.user__bio_added_ts__extract_doy + , subq_0.user__last_login_ts__minute + , subq_0.user__last_login_ts__hour + , subq_0.user__last_login_ts__day + , subq_0.user__last_login_ts__week + , subq_0.user__last_login_ts__month + , subq_0.user__last_login_ts__quarter + , subq_0.user__last_login_ts__year + , subq_0.user__last_login_ts__extract_year + , subq_0.user__last_login_ts__extract_quarter + , subq_0.user__last_login_ts__extract_month + , subq_0.user__last_login_ts__extract_day + , subq_0.user__last_login_ts__extract_dow + , subq_0.user__last_login_ts__extract_doy + , subq_0.user__archived_at__hour + , subq_0.user__archived_at__day + , subq_0.user__archived_at__week + , subq_0.user__archived_at__month + , subq_0.user__archived_at__quarter + , subq_0.user__archived_at__year + , subq_0.user__archived_at__extract_year + , subq_0.user__archived_at__extract_quarter + , subq_0.user__archived_at__extract_month + , subq_0.user__archived_at__extract_day + , subq_0.user__archived_at__extract_dow + , subq_0.user__archived_at__extract_doy + , subq_0.archived_at__hour AS metric_time__hour + , subq_0.archived_at__day AS metric_time__day + , subq_0.archived_at__week AS metric_time__week + , subq_0.archived_at__month AS metric_time__month + , subq_0.archived_at__quarter AS metric_time__quarter + , subq_0.archived_at__year AS metric_time__year + , subq_0.archived_at__extract_year AS metric_time__extract_year + , subq_0.archived_at__extract_quarter AS metric_time__extract_quarter + , subq_0.archived_at__extract_month AS metric_time__extract_month + , subq_0.archived_at__extract_day AS metric_time__extract_day + , subq_0.archived_at__extract_dow AS metric_time__extract_dow + , subq_0.archived_at__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.home_state + , subq_0.user__home_state + , subq_0.archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + SELECT + 1 AS new_users + , 1 AS archived_users + , DATETIME_TRUNC(users_ds_source_src_28000.ds, day) AS ds__day + , DATETIME_TRUNC(users_ds_source_src_28000.ds, isoweek) AS ds__week + , DATETIME_TRUNC(users_ds_source_src_28000.ds, month) AS ds__month + , DATETIME_TRUNC(users_ds_source_src_28000.ds, quarter) AS ds__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.ds, year) AS ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS ds__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.ds) - 1) AS ds__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.ds) AS ds__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, day) AS created_at__day + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, isoweek) AS created_at__week + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, month) AS created_at__month + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, quarter) AS created_at__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, year) AS created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS created_at__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.created_at) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.created_at) - 1) AS created_at__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.created_at) AS created_at__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, day) AS ds_partitioned__day + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, isoweek) AS ds_partitioned__week + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, month) AS ds_partitioned__month + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, quarter) AS ds_partitioned__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, year) AS ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.ds_partitioned) - 1) AS ds_partitioned__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, millisecond) AS last_profile_edit_ts__millisecond + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, second) AS last_profile_edit_ts__second + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, minute) AS last_profile_edit_ts__minute + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, hour) AS last_profile_edit_ts__hour + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, day) AS last_profile_edit_ts__day + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, isoweek) AS last_profile_edit_ts__week + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, month) AS last_profile_edit_ts__month + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, quarter) AS last_profile_edit_ts__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, year) AS last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.last_profile_edit_ts) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.last_profile_edit_ts) - 1) AS last_profile_edit_ts__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, second) AS bio_added_ts__second + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, minute) AS bio_added_ts__minute + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, hour) AS bio_added_ts__hour + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, day) AS bio_added_ts__day + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, isoweek) AS bio_added_ts__week + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, month) AS bio_added_ts__month + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, quarter) AS bio_added_ts__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, year) AS bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.bio_added_ts) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.bio_added_ts) - 1) AS bio_added_ts__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, minute) AS last_login_ts__minute + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, hour) AS last_login_ts__hour + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, day) AS last_login_ts__day + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, isoweek) AS last_login_ts__week + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, month) AS last_login_ts__month + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, quarter) AS last_login_ts__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, year) AS last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.last_login_ts) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.last_login_ts) - 1) AS last_login_ts__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, hour) AS archived_at__hour + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, day) AS archived_at__day + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, isoweek) AS archived_at__week + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, month) AS archived_at__month + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, quarter) AS archived_at__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, year) AS archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.archived_at) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.archived_at) - 1) AS archived_at__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.ds, day) AS user__ds__day + , DATETIME_TRUNC(users_ds_source_src_28000.ds, isoweek) AS user__ds__week + , DATETIME_TRUNC(users_ds_source_src_28000.ds, month) AS user__ds__month + , DATETIME_TRUNC(users_ds_source_src_28000.ds, quarter) AS user__ds__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.ds, year) AS user__ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS user__ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS user__ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS user__ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS user__ds__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.ds) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.ds) - 1) AS user__ds__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.ds) AS user__ds__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, day) AS user__created_at__day + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, isoweek) AS user__created_at__week + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, month) AS user__created_at__month + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, quarter) AS user__created_at__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.created_at, year) AS user__created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.created_at) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.created_at) - 1) AS user__created_at__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, day) AS user__ds_partitioned__day + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, isoweek) AS user__ds_partitioned__week + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, month) AS user__ds_partitioned__month + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, quarter) AS user__ds_partitioned__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.ds_partitioned, year) AS user__ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.ds_partitioned) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.ds_partitioned) - 1) AS user__ds_partitioned__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state AS user__home_state + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, millisecond) AS user__last_profile_edit_ts__millisecond + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, second) AS user__last_profile_edit_ts__second + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, minute) AS user__last_profile_edit_ts__minute + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, hour) AS user__last_profile_edit_ts__hour + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, day) AS user__last_profile_edit_ts__day + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, isoweek) AS user__last_profile_edit_ts__week + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, month) AS user__last_profile_edit_ts__month + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, quarter) AS user__last_profile_edit_ts__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.last_profile_edit_ts, year) AS user__last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.last_profile_edit_ts) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.last_profile_edit_ts) - 1) AS user__last_profile_edit_ts__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, second) AS user__bio_added_ts__second + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, minute) AS user__bio_added_ts__minute + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, hour) AS user__bio_added_ts__hour + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, day) AS user__bio_added_ts__day + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, isoweek) AS user__bio_added_ts__week + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, month) AS user__bio_added_ts__month + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, quarter) AS user__bio_added_ts__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.bio_added_ts, year) AS user__bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.bio_added_ts) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.bio_added_ts) - 1) AS user__bio_added_ts__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, minute) AS user__last_login_ts__minute + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, hour) AS user__last_login_ts__hour + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, day) AS user__last_login_ts__day + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, isoweek) AS user__last_login_ts__week + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, month) AS user__last_login_ts__month + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, quarter) AS user__last_login_ts__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.last_login_ts, year) AS user__last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.last_login_ts) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.last_login_ts) - 1) AS user__last_login_ts__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_doy + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, hour) AS user__archived_at__hour + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, day) AS user__archived_at__day + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, isoweek) AS user__archived_at__week + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, month) AS user__archived_at__month + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, quarter) AS user__archived_at__quarter + , DATETIME_TRUNC(users_ds_source_src_28000.archived_at, year) AS user__archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_day + , IF(EXTRACT(dayofweek FROM users_ds_source_src_28000.archived_at) = 1, 7, EXTRACT(dayofweek FROM users_ds_source_src_28000.archived_at) - 1) AS user__archived_at__extract_dow + , EXTRACT(dayofyear FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_doy + , users_ds_source_src_28000.user_id AS user + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..b7555abc78 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/BigQuery/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql @@ -0,0 +1,47 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ts AS metric_time__hour + , DATETIME_TRUNC(ts, day) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_17 + ) subq_18 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + metric_time__day +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + -- Aggregate Measures + SELECT + metric_time__day + , SUM(archived_users) AS archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + -- Metric Time Dimension 'archived_at' + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + DATETIME_TRUNC(archived_at, hour) AS metric_time__hour + , DATETIME_TRUNC(archived_at, day) AS metric_time__day + , 1 AS archived_users + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_12 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql new file mode 100644 index 0000000000..891ff0a69d --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql @@ -0,0 +1,253 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.bookings AS bookings + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ds AS metric_time__day + , DATE_TRUNC('month', subq_7.ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_7 + ) subq_8 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.bookings) AS bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.metric_time__month + , subq_2.bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day', 'metric_time__month'] + SELECT + subq_1.metric_time__day + , subq_1.metric_time__month + , 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_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..617bf2dd6f --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql @@ -0,0 +1,45 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ds AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_17 + ) subq_18 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- 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', 'metric_time__month'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_12 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql new file mode 100644 index 0000000000..1a1ceec45a --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql @@ -0,0 +1,438 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.archived_users AS archived_users + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ts AS metric_time__hour + , DATE_TRUNC('day', subq_7.ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_7 + ) subq_8 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + subq_8.metric_time__day + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.archived_users) AS archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.archived_users + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__hour + , subq_2.metric_time__day + , subq_2.archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + subq_1.metric_time__hour + , subq_1.metric_time__day + , subq_1.archived_users + FROM ( + -- Metric Time Dimension 'archived_at' + 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.created_at__day + , subq_0.created_at__week + , subq_0.created_at__month + , subq_0.created_at__quarter + , subq_0.created_at__year + , subq_0.created_at__extract_year + , subq_0.created_at__extract_quarter + , subq_0.created_at__extract_month + , subq_0.created_at__extract_day + , subq_0.created_at__extract_dow + , subq_0.created_at__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.last_profile_edit_ts__millisecond + , subq_0.last_profile_edit_ts__second + , subq_0.last_profile_edit_ts__minute + , subq_0.last_profile_edit_ts__hour + , subq_0.last_profile_edit_ts__day + , subq_0.last_profile_edit_ts__week + , subq_0.last_profile_edit_ts__month + , subq_0.last_profile_edit_ts__quarter + , subq_0.last_profile_edit_ts__year + , subq_0.last_profile_edit_ts__extract_year + , subq_0.last_profile_edit_ts__extract_quarter + , subq_0.last_profile_edit_ts__extract_month + , subq_0.last_profile_edit_ts__extract_day + , subq_0.last_profile_edit_ts__extract_dow + , subq_0.last_profile_edit_ts__extract_doy + , subq_0.bio_added_ts__second + , subq_0.bio_added_ts__minute + , subq_0.bio_added_ts__hour + , subq_0.bio_added_ts__day + , subq_0.bio_added_ts__week + , subq_0.bio_added_ts__month + , subq_0.bio_added_ts__quarter + , subq_0.bio_added_ts__year + , subq_0.bio_added_ts__extract_year + , subq_0.bio_added_ts__extract_quarter + , subq_0.bio_added_ts__extract_month + , subq_0.bio_added_ts__extract_day + , subq_0.bio_added_ts__extract_dow + , subq_0.bio_added_ts__extract_doy + , subq_0.last_login_ts__minute + , subq_0.last_login_ts__hour + , subq_0.last_login_ts__day + , subq_0.last_login_ts__week + , subq_0.last_login_ts__month + , subq_0.last_login_ts__quarter + , subq_0.last_login_ts__year + , subq_0.last_login_ts__extract_year + , subq_0.last_login_ts__extract_quarter + , subq_0.last_login_ts__extract_month + , subq_0.last_login_ts__extract_day + , subq_0.last_login_ts__extract_dow + , subq_0.last_login_ts__extract_doy + , subq_0.archived_at__hour + , subq_0.archived_at__day + , subq_0.archived_at__week + , subq_0.archived_at__month + , subq_0.archived_at__quarter + , subq_0.archived_at__year + , subq_0.archived_at__extract_year + , subq_0.archived_at__extract_quarter + , subq_0.archived_at__extract_month + , subq_0.archived_at__extract_day + , subq_0.archived_at__extract_dow + , subq_0.archived_at__extract_doy + , subq_0.user__ds__day + , subq_0.user__ds__week + , subq_0.user__ds__month + , subq_0.user__ds__quarter + , subq_0.user__ds__year + , subq_0.user__ds__extract_year + , subq_0.user__ds__extract_quarter + , subq_0.user__ds__extract_month + , subq_0.user__ds__extract_day + , subq_0.user__ds__extract_dow + , subq_0.user__ds__extract_doy + , subq_0.user__created_at__day + , subq_0.user__created_at__week + , subq_0.user__created_at__month + , subq_0.user__created_at__quarter + , subq_0.user__created_at__year + , subq_0.user__created_at__extract_year + , subq_0.user__created_at__extract_quarter + , subq_0.user__created_at__extract_month + , subq_0.user__created_at__extract_day + , subq_0.user__created_at__extract_dow + , subq_0.user__created_at__extract_doy + , subq_0.user__ds_partitioned__day + , subq_0.user__ds_partitioned__week + , subq_0.user__ds_partitioned__month + , subq_0.user__ds_partitioned__quarter + , subq_0.user__ds_partitioned__year + , subq_0.user__ds_partitioned__extract_year + , subq_0.user__ds_partitioned__extract_quarter + , subq_0.user__ds_partitioned__extract_month + , subq_0.user__ds_partitioned__extract_day + , subq_0.user__ds_partitioned__extract_dow + , subq_0.user__ds_partitioned__extract_doy + , subq_0.user__last_profile_edit_ts__millisecond + , subq_0.user__last_profile_edit_ts__second + , subq_0.user__last_profile_edit_ts__minute + , subq_0.user__last_profile_edit_ts__hour + , subq_0.user__last_profile_edit_ts__day + , subq_0.user__last_profile_edit_ts__week + , subq_0.user__last_profile_edit_ts__month + , subq_0.user__last_profile_edit_ts__quarter + , subq_0.user__last_profile_edit_ts__year + , subq_0.user__last_profile_edit_ts__extract_year + , subq_0.user__last_profile_edit_ts__extract_quarter + , subq_0.user__last_profile_edit_ts__extract_month + , subq_0.user__last_profile_edit_ts__extract_day + , subq_0.user__last_profile_edit_ts__extract_dow + , subq_0.user__last_profile_edit_ts__extract_doy + , subq_0.user__bio_added_ts__second + , subq_0.user__bio_added_ts__minute + , subq_0.user__bio_added_ts__hour + , subq_0.user__bio_added_ts__day + , subq_0.user__bio_added_ts__week + , subq_0.user__bio_added_ts__month + , subq_0.user__bio_added_ts__quarter + , subq_0.user__bio_added_ts__year + , subq_0.user__bio_added_ts__extract_year + , subq_0.user__bio_added_ts__extract_quarter + , subq_0.user__bio_added_ts__extract_month + , subq_0.user__bio_added_ts__extract_day + , subq_0.user__bio_added_ts__extract_dow + , subq_0.user__bio_added_ts__extract_doy + , subq_0.user__last_login_ts__minute + , subq_0.user__last_login_ts__hour + , subq_0.user__last_login_ts__day + , subq_0.user__last_login_ts__week + , subq_0.user__last_login_ts__month + , subq_0.user__last_login_ts__quarter + , subq_0.user__last_login_ts__year + , subq_0.user__last_login_ts__extract_year + , subq_0.user__last_login_ts__extract_quarter + , subq_0.user__last_login_ts__extract_month + , subq_0.user__last_login_ts__extract_day + , subq_0.user__last_login_ts__extract_dow + , subq_0.user__last_login_ts__extract_doy + , subq_0.user__archived_at__hour + , subq_0.user__archived_at__day + , subq_0.user__archived_at__week + , subq_0.user__archived_at__month + , subq_0.user__archived_at__quarter + , subq_0.user__archived_at__year + , subq_0.user__archived_at__extract_year + , subq_0.user__archived_at__extract_quarter + , subq_0.user__archived_at__extract_month + , subq_0.user__archived_at__extract_day + , subq_0.user__archived_at__extract_dow + , subq_0.user__archived_at__extract_doy + , subq_0.archived_at__hour AS metric_time__hour + , subq_0.archived_at__day AS metric_time__day + , subq_0.archived_at__week AS metric_time__week + , subq_0.archived_at__month AS metric_time__month + , subq_0.archived_at__quarter AS metric_time__quarter + , subq_0.archived_at__year AS metric_time__year + , subq_0.archived_at__extract_year AS metric_time__extract_year + , subq_0.archived_at__extract_quarter AS metric_time__extract_quarter + , subq_0.archived_at__extract_month AS metric_time__extract_month + , subq_0.archived_at__extract_day AS metric_time__extract_day + , subq_0.archived_at__extract_dow AS metric_time__extract_dow + , subq_0.archived_at__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.home_state + , subq_0.user__home_state + , subq_0.archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + SELECT + 1 AS new_users + , 1 AS archived_users + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS ds__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS created_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS user__ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS user__ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS user__ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS user__ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS user__ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS user__ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS user__ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS user__ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS user__ds__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.ds) AS user__ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS user__ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS user__created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS user__created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS user__created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS user__created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS user__created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state AS user__home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS user__archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS user__archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS user__archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS user__archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS user__archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS user__archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_day + , EXTRACT(DAYOFWEEK_ISO FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_doy + , users_ds_source_src_28000.user_id AS user + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..8e318e894d --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Databricks/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql @@ -0,0 +1,47 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ts AS metric_time__hour + , DATE_TRUNC('day', ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_17 + ) subq_18 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + metric_time__day +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + -- Aggregate Measures + SELECT + metric_time__day + , SUM(archived_users) AS archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + -- Metric Time Dimension 'archived_at' + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + DATE_TRUNC('hour', archived_at) AS metric_time__hour + , DATE_TRUNC('day', archived_at) AS metric_time__day + , 1 AS archived_users + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_12 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql new file mode 100644 index 0000000000..6396714619 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql @@ -0,0 +1,253 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.bookings AS bookings + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ds AS metric_time__day + , DATE_TRUNC('month', subq_7.ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_7 + ) subq_8 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.bookings) AS bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.metric_time__month + , subq_2.bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day', 'metric_time__month'] + SELECT + subq_1.metric_time__day + , subq_1.metric_time__month + , 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_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(isodow FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..617bf2dd6f --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql @@ -0,0 +1,45 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ds AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_17 + ) subq_18 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- 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', 'metric_time__month'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_12 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql new file mode 100644 index 0000000000..9c928c4dce --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql @@ -0,0 +1,438 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.archived_users AS archived_users + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ts AS metric_time__hour + , DATE_TRUNC('day', subq_7.ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_7 + ) subq_8 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + subq_8.metric_time__day + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.archived_users) AS archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.archived_users + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__hour + , subq_2.metric_time__day + , subq_2.archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + subq_1.metric_time__hour + , subq_1.metric_time__day + , subq_1.archived_users + FROM ( + -- Metric Time Dimension 'archived_at' + 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.created_at__day + , subq_0.created_at__week + , subq_0.created_at__month + , subq_0.created_at__quarter + , subq_0.created_at__year + , subq_0.created_at__extract_year + , subq_0.created_at__extract_quarter + , subq_0.created_at__extract_month + , subq_0.created_at__extract_day + , subq_0.created_at__extract_dow + , subq_0.created_at__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.last_profile_edit_ts__millisecond + , subq_0.last_profile_edit_ts__second + , subq_0.last_profile_edit_ts__minute + , subq_0.last_profile_edit_ts__hour + , subq_0.last_profile_edit_ts__day + , subq_0.last_profile_edit_ts__week + , subq_0.last_profile_edit_ts__month + , subq_0.last_profile_edit_ts__quarter + , subq_0.last_profile_edit_ts__year + , subq_0.last_profile_edit_ts__extract_year + , subq_0.last_profile_edit_ts__extract_quarter + , subq_0.last_profile_edit_ts__extract_month + , subq_0.last_profile_edit_ts__extract_day + , subq_0.last_profile_edit_ts__extract_dow + , subq_0.last_profile_edit_ts__extract_doy + , subq_0.bio_added_ts__second + , subq_0.bio_added_ts__minute + , subq_0.bio_added_ts__hour + , subq_0.bio_added_ts__day + , subq_0.bio_added_ts__week + , subq_0.bio_added_ts__month + , subq_0.bio_added_ts__quarter + , subq_0.bio_added_ts__year + , subq_0.bio_added_ts__extract_year + , subq_0.bio_added_ts__extract_quarter + , subq_0.bio_added_ts__extract_month + , subq_0.bio_added_ts__extract_day + , subq_0.bio_added_ts__extract_dow + , subq_0.bio_added_ts__extract_doy + , subq_0.last_login_ts__minute + , subq_0.last_login_ts__hour + , subq_0.last_login_ts__day + , subq_0.last_login_ts__week + , subq_0.last_login_ts__month + , subq_0.last_login_ts__quarter + , subq_0.last_login_ts__year + , subq_0.last_login_ts__extract_year + , subq_0.last_login_ts__extract_quarter + , subq_0.last_login_ts__extract_month + , subq_0.last_login_ts__extract_day + , subq_0.last_login_ts__extract_dow + , subq_0.last_login_ts__extract_doy + , subq_0.archived_at__hour + , subq_0.archived_at__day + , subq_0.archived_at__week + , subq_0.archived_at__month + , subq_0.archived_at__quarter + , subq_0.archived_at__year + , subq_0.archived_at__extract_year + , subq_0.archived_at__extract_quarter + , subq_0.archived_at__extract_month + , subq_0.archived_at__extract_day + , subq_0.archived_at__extract_dow + , subq_0.archived_at__extract_doy + , subq_0.user__ds__day + , subq_0.user__ds__week + , subq_0.user__ds__month + , subq_0.user__ds__quarter + , subq_0.user__ds__year + , subq_0.user__ds__extract_year + , subq_0.user__ds__extract_quarter + , subq_0.user__ds__extract_month + , subq_0.user__ds__extract_day + , subq_0.user__ds__extract_dow + , subq_0.user__ds__extract_doy + , subq_0.user__created_at__day + , subq_0.user__created_at__week + , subq_0.user__created_at__month + , subq_0.user__created_at__quarter + , subq_0.user__created_at__year + , subq_0.user__created_at__extract_year + , subq_0.user__created_at__extract_quarter + , subq_0.user__created_at__extract_month + , subq_0.user__created_at__extract_day + , subq_0.user__created_at__extract_dow + , subq_0.user__created_at__extract_doy + , subq_0.user__ds_partitioned__day + , subq_0.user__ds_partitioned__week + , subq_0.user__ds_partitioned__month + , subq_0.user__ds_partitioned__quarter + , subq_0.user__ds_partitioned__year + , subq_0.user__ds_partitioned__extract_year + , subq_0.user__ds_partitioned__extract_quarter + , subq_0.user__ds_partitioned__extract_month + , subq_0.user__ds_partitioned__extract_day + , subq_0.user__ds_partitioned__extract_dow + , subq_0.user__ds_partitioned__extract_doy + , subq_0.user__last_profile_edit_ts__millisecond + , subq_0.user__last_profile_edit_ts__second + , subq_0.user__last_profile_edit_ts__minute + , subq_0.user__last_profile_edit_ts__hour + , subq_0.user__last_profile_edit_ts__day + , subq_0.user__last_profile_edit_ts__week + , subq_0.user__last_profile_edit_ts__month + , subq_0.user__last_profile_edit_ts__quarter + , subq_0.user__last_profile_edit_ts__year + , subq_0.user__last_profile_edit_ts__extract_year + , subq_0.user__last_profile_edit_ts__extract_quarter + , subq_0.user__last_profile_edit_ts__extract_month + , subq_0.user__last_profile_edit_ts__extract_day + , subq_0.user__last_profile_edit_ts__extract_dow + , subq_0.user__last_profile_edit_ts__extract_doy + , subq_0.user__bio_added_ts__second + , subq_0.user__bio_added_ts__minute + , subq_0.user__bio_added_ts__hour + , subq_0.user__bio_added_ts__day + , subq_0.user__bio_added_ts__week + , subq_0.user__bio_added_ts__month + , subq_0.user__bio_added_ts__quarter + , subq_0.user__bio_added_ts__year + , subq_0.user__bio_added_ts__extract_year + , subq_0.user__bio_added_ts__extract_quarter + , subq_0.user__bio_added_ts__extract_month + , subq_0.user__bio_added_ts__extract_day + , subq_0.user__bio_added_ts__extract_dow + , subq_0.user__bio_added_ts__extract_doy + , subq_0.user__last_login_ts__minute + , subq_0.user__last_login_ts__hour + , subq_0.user__last_login_ts__day + , subq_0.user__last_login_ts__week + , subq_0.user__last_login_ts__month + , subq_0.user__last_login_ts__quarter + , subq_0.user__last_login_ts__year + , subq_0.user__last_login_ts__extract_year + , subq_0.user__last_login_ts__extract_quarter + , subq_0.user__last_login_ts__extract_month + , subq_0.user__last_login_ts__extract_day + , subq_0.user__last_login_ts__extract_dow + , subq_0.user__last_login_ts__extract_doy + , subq_0.user__archived_at__hour + , subq_0.user__archived_at__day + , subq_0.user__archived_at__week + , subq_0.user__archived_at__month + , subq_0.user__archived_at__quarter + , subq_0.user__archived_at__year + , subq_0.user__archived_at__extract_year + , subq_0.user__archived_at__extract_quarter + , subq_0.user__archived_at__extract_month + , subq_0.user__archived_at__extract_day + , subq_0.user__archived_at__extract_dow + , subq_0.user__archived_at__extract_doy + , subq_0.archived_at__hour AS metric_time__hour + , subq_0.archived_at__day AS metric_time__day + , subq_0.archived_at__week AS metric_time__week + , subq_0.archived_at__month AS metric_time__month + , subq_0.archived_at__quarter AS metric_time__quarter + , subq_0.archived_at__year AS metric_time__year + , subq_0.archived_at__extract_year AS metric_time__extract_year + , subq_0.archived_at__extract_quarter AS metric_time__extract_quarter + , subq_0.archived_at__extract_month AS metric_time__extract_month + , subq_0.archived_at__extract_day AS metric_time__extract_day + , subq_0.archived_at__extract_dow AS metric_time__extract_dow + , subq_0.archived_at__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.home_state + , subq_0.user__home_state + , subq_0.archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + SELECT + 1 AS new_users + , 1 AS archived_users + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS ds__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS created_at__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS user__ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS user__ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS user__ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS user__ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS user__ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS user__ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS user__ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS user__ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS user__ds__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.ds) AS user__ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS user__ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS user__created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS user__created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS user__created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS user__created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS user__created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state AS user__home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS user__archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS user__archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS user__archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS user__archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS user__archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS user__archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_day + , EXTRACT(isodow FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_doy + , users_ds_source_src_28000.user_id AS user + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..8e318e894d --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Postgres/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql @@ -0,0 +1,47 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ts AS metric_time__hour + , DATE_TRUNC('day', ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_17 + ) subq_18 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + metric_time__day +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + -- Aggregate Measures + SELECT + metric_time__day + , SUM(archived_users) AS archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + -- Metric Time Dimension 'archived_at' + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + DATE_TRUNC('hour', archived_at) AS metric_time__hour + , DATE_TRUNC('day', archived_at) AS metric_time__day + , 1 AS archived_users + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_12 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql new file mode 100644 index 0000000000..3d9a94c629 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql @@ -0,0 +1,253 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.bookings AS bookings + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ds AS metric_time__day + , DATE_TRUNC('month', subq_7.ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_7 + ) subq_8 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.bookings) AS bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.metric_time__month + , subq_2.bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day', 'metric_time__month'] + SELECT + subq_1.metric_time__day + , subq_1.metric_time__month + , 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_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds) END AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.ds_partitioned) END AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , CASE WHEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) = 0 THEN EXTRACT(dow FROM bookings_source_src_28000.paid_at) + 7 ELSE EXTRACT(dow FROM bookings_source_src_28000.paid_at) END AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..617bf2dd6f --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql @@ -0,0 +1,45 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ds AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_17 + ) subq_18 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- 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', 'metric_time__month'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_12 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql new file mode 100644 index 0000000000..13a45844c3 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql @@ -0,0 +1,438 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.archived_users AS archived_users + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ts AS metric_time__hour + , DATE_TRUNC('day', subq_7.ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_7 + ) subq_8 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + subq_8.metric_time__day + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.archived_users) AS archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.archived_users + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__hour + , subq_2.metric_time__day + , subq_2.archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + subq_1.metric_time__hour + , subq_1.metric_time__day + , subq_1.archived_users + FROM ( + -- Metric Time Dimension 'archived_at' + 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.created_at__day + , subq_0.created_at__week + , subq_0.created_at__month + , subq_0.created_at__quarter + , subq_0.created_at__year + , subq_0.created_at__extract_year + , subq_0.created_at__extract_quarter + , subq_0.created_at__extract_month + , subq_0.created_at__extract_day + , subq_0.created_at__extract_dow + , subq_0.created_at__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.last_profile_edit_ts__millisecond + , subq_0.last_profile_edit_ts__second + , subq_0.last_profile_edit_ts__minute + , subq_0.last_profile_edit_ts__hour + , subq_0.last_profile_edit_ts__day + , subq_0.last_profile_edit_ts__week + , subq_0.last_profile_edit_ts__month + , subq_0.last_profile_edit_ts__quarter + , subq_0.last_profile_edit_ts__year + , subq_0.last_profile_edit_ts__extract_year + , subq_0.last_profile_edit_ts__extract_quarter + , subq_0.last_profile_edit_ts__extract_month + , subq_0.last_profile_edit_ts__extract_day + , subq_0.last_profile_edit_ts__extract_dow + , subq_0.last_profile_edit_ts__extract_doy + , subq_0.bio_added_ts__second + , subq_0.bio_added_ts__minute + , subq_0.bio_added_ts__hour + , subq_0.bio_added_ts__day + , subq_0.bio_added_ts__week + , subq_0.bio_added_ts__month + , subq_0.bio_added_ts__quarter + , subq_0.bio_added_ts__year + , subq_0.bio_added_ts__extract_year + , subq_0.bio_added_ts__extract_quarter + , subq_0.bio_added_ts__extract_month + , subq_0.bio_added_ts__extract_day + , subq_0.bio_added_ts__extract_dow + , subq_0.bio_added_ts__extract_doy + , subq_0.last_login_ts__minute + , subq_0.last_login_ts__hour + , subq_0.last_login_ts__day + , subq_0.last_login_ts__week + , subq_0.last_login_ts__month + , subq_0.last_login_ts__quarter + , subq_0.last_login_ts__year + , subq_0.last_login_ts__extract_year + , subq_0.last_login_ts__extract_quarter + , subq_0.last_login_ts__extract_month + , subq_0.last_login_ts__extract_day + , subq_0.last_login_ts__extract_dow + , subq_0.last_login_ts__extract_doy + , subq_0.archived_at__hour + , subq_0.archived_at__day + , subq_0.archived_at__week + , subq_0.archived_at__month + , subq_0.archived_at__quarter + , subq_0.archived_at__year + , subq_0.archived_at__extract_year + , subq_0.archived_at__extract_quarter + , subq_0.archived_at__extract_month + , subq_0.archived_at__extract_day + , subq_0.archived_at__extract_dow + , subq_0.archived_at__extract_doy + , subq_0.user__ds__day + , subq_0.user__ds__week + , subq_0.user__ds__month + , subq_0.user__ds__quarter + , subq_0.user__ds__year + , subq_0.user__ds__extract_year + , subq_0.user__ds__extract_quarter + , subq_0.user__ds__extract_month + , subq_0.user__ds__extract_day + , subq_0.user__ds__extract_dow + , subq_0.user__ds__extract_doy + , subq_0.user__created_at__day + , subq_0.user__created_at__week + , subq_0.user__created_at__month + , subq_0.user__created_at__quarter + , subq_0.user__created_at__year + , subq_0.user__created_at__extract_year + , subq_0.user__created_at__extract_quarter + , subq_0.user__created_at__extract_month + , subq_0.user__created_at__extract_day + , subq_0.user__created_at__extract_dow + , subq_0.user__created_at__extract_doy + , subq_0.user__ds_partitioned__day + , subq_0.user__ds_partitioned__week + , subq_0.user__ds_partitioned__month + , subq_0.user__ds_partitioned__quarter + , subq_0.user__ds_partitioned__year + , subq_0.user__ds_partitioned__extract_year + , subq_0.user__ds_partitioned__extract_quarter + , subq_0.user__ds_partitioned__extract_month + , subq_0.user__ds_partitioned__extract_day + , subq_0.user__ds_partitioned__extract_dow + , subq_0.user__ds_partitioned__extract_doy + , subq_0.user__last_profile_edit_ts__millisecond + , subq_0.user__last_profile_edit_ts__second + , subq_0.user__last_profile_edit_ts__minute + , subq_0.user__last_profile_edit_ts__hour + , subq_0.user__last_profile_edit_ts__day + , subq_0.user__last_profile_edit_ts__week + , subq_0.user__last_profile_edit_ts__month + , subq_0.user__last_profile_edit_ts__quarter + , subq_0.user__last_profile_edit_ts__year + , subq_0.user__last_profile_edit_ts__extract_year + , subq_0.user__last_profile_edit_ts__extract_quarter + , subq_0.user__last_profile_edit_ts__extract_month + , subq_0.user__last_profile_edit_ts__extract_day + , subq_0.user__last_profile_edit_ts__extract_dow + , subq_0.user__last_profile_edit_ts__extract_doy + , subq_0.user__bio_added_ts__second + , subq_0.user__bio_added_ts__minute + , subq_0.user__bio_added_ts__hour + , subq_0.user__bio_added_ts__day + , subq_0.user__bio_added_ts__week + , subq_0.user__bio_added_ts__month + , subq_0.user__bio_added_ts__quarter + , subq_0.user__bio_added_ts__year + , subq_0.user__bio_added_ts__extract_year + , subq_0.user__bio_added_ts__extract_quarter + , subq_0.user__bio_added_ts__extract_month + , subq_0.user__bio_added_ts__extract_day + , subq_0.user__bio_added_ts__extract_dow + , subq_0.user__bio_added_ts__extract_doy + , subq_0.user__last_login_ts__minute + , subq_0.user__last_login_ts__hour + , subq_0.user__last_login_ts__day + , subq_0.user__last_login_ts__week + , subq_0.user__last_login_ts__month + , subq_0.user__last_login_ts__quarter + , subq_0.user__last_login_ts__year + , subq_0.user__last_login_ts__extract_year + , subq_0.user__last_login_ts__extract_quarter + , subq_0.user__last_login_ts__extract_month + , subq_0.user__last_login_ts__extract_day + , subq_0.user__last_login_ts__extract_dow + , subq_0.user__last_login_ts__extract_doy + , subq_0.user__archived_at__hour + , subq_0.user__archived_at__day + , subq_0.user__archived_at__week + , subq_0.user__archived_at__month + , subq_0.user__archived_at__quarter + , subq_0.user__archived_at__year + , subq_0.user__archived_at__extract_year + , subq_0.user__archived_at__extract_quarter + , subq_0.user__archived_at__extract_month + , subq_0.user__archived_at__extract_day + , subq_0.user__archived_at__extract_dow + , subq_0.user__archived_at__extract_doy + , subq_0.archived_at__hour AS metric_time__hour + , subq_0.archived_at__day AS metric_time__day + , subq_0.archived_at__week AS metric_time__week + , subq_0.archived_at__month AS metric_time__month + , subq_0.archived_at__quarter AS metric_time__quarter + , subq_0.archived_at__year AS metric_time__year + , subq_0.archived_at__extract_year AS metric_time__extract_year + , subq_0.archived_at__extract_quarter AS metric_time__extract_quarter + , subq_0.archived_at__extract_month AS metric_time__extract_month + , subq_0.archived_at__extract_day AS metric_time__extract_day + , subq_0.archived_at__extract_dow AS metric_time__extract_dow + , subq_0.archived_at__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.home_state + , subq_0.user__home_state + , subq_0.archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + SELECT + 1 AS new_users + , 1 AS archived_users + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS ds__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.ds) END AS ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS created_at__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.created_at) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.created_at) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.created_at) END AS created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.ds_partitioned) END AS ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.last_profile_edit_ts) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.last_profile_edit_ts) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.last_profile_edit_ts) END AS last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.bio_added_ts) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.bio_added_ts) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.bio_added_ts) END AS bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.last_login_ts) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.last_login_ts) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.last_login_ts) END AS last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.archived_at) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.archived_at) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.archived_at) END AS archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS user__ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS user__ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS user__ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS user__ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS user__ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS user__ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS user__ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS user__ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS user__ds__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.ds) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.ds) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.ds) END AS user__ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS user__ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS user__created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS user__created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS user__created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS user__created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS user__created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.created_at) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.created_at) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.created_at) END AS user__created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.ds_partitioned) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.ds_partitioned) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.ds_partitioned) END AS user__ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state AS user__home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.last_profile_edit_ts) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.last_profile_edit_ts) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.last_profile_edit_ts) END AS user__last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.bio_added_ts) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.bio_added_ts) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.bio_added_ts) END AS user__bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.last_login_ts) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.last_login_ts) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.last_login_ts) END AS user__last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS user__archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS user__archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS user__archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS user__archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS user__archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS user__archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_day + , CASE WHEN EXTRACT(dow FROM users_ds_source_src_28000.archived_at) = 0 THEN EXTRACT(dow FROM users_ds_source_src_28000.archived_at) + 7 ELSE EXTRACT(dow FROM users_ds_source_src_28000.archived_at) END AS user__archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_doy + , users_ds_source_src_28000.user_id AS user + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..8e318e894d --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Redshift/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql @@ -0,0 +1,47 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ts AS metric_time__hour + , DATE_TRUNC('day', ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_17 + ) subq_18 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + metric_time__day +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + -- Aggregate Measures + SELECT + metric_time__day + , SUM(archived_users) AS archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + -- Metric Time Dimension 'archived_at' + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + DATE_TRUNC('hour', archived_at) AS metric_time__hour + , DATE_TRUNC('day', archived_at) AS metric_time__day + , 1 AS archived_users + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_12 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql new file mode 100644 index 0000000000..199838aef6 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql @@ -0,0 +1,253 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.bookings AS bookings + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ds AS metric_time__day + , DATE_TRUNC('month', subq_7.ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_7 + ) subq_8 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.bookings) AS bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.metric_time__month + , subq_2.bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day', 'metric_time__month'] + SELECT + subq_1.metric_time__day + , subq_1.metric_time__month + , 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_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(dayofweekiso FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..617bf2dd6f --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql @@ -0,0 +1,45 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ds AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_17 + ) subq_18 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- 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', 'metric_time__month'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_12 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql new file mode 100644 index 0000000000..f602351496 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql @@ -0,0 +1,438 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.archived_users AS archived_users + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ts AS metric_time__hour + , DATE_TRUNC('day', subq_7.ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_7 + ) subq_8 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + subq_8.metric_time__day + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.archived_users) AS archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.archived_users + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__hour + , subq_2.metric_time__day + , subq_2.archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + subq_1.metric_time__hour + , subq_1.metric_time__day + , subq_1.archived_users + FROM ( + -- Metric Time Dimension 'archived_at' + 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.created_at__day + , subq_0.created_at__week + , subq_0.created_at__month + , subq_0.created_at__quarter + , subq_0.created_at__year + , subq_0.created_at__extract_year + , subq_0.created_at__extract_quarter + , subq_0.created_at__extract_month + , subq_0.created_at__extract_day + , subq_0.created_at__extract_dow + , subq_0.created_at__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.last_profile_edit_ts__millisecond + , subq_0.last_profile_edit_ts__second + , subq_0.last_profile_edit_ts__minute + , subq_0.last_profile_edit_ts__hour + , subq_0.last_profile_edit_ts__day + , subq_0.last_profile_edit_ts__week + , subq_0.last_profile_edit_ts__month + , subq_0.last_profile_edit_ts__quarter + , subq_0.last_profile_edit_ts__year + , subq_0.last_profile_edit_ts__extract_year + , subq_0.last_profile_edit_ts__extract_quarter + , subq_0.last_profile_edit_ts__extract_month + , subq_0.last_profile_edit_ts__extract_day + , subq_0.last_profile_edit_ts__extract_dow + , subq_0.last_profile_edit_ts__extract_doy + , subq_0.bio_added_ts__second + , subq_0.bio_added_ts__minute + , subq_0.bio_added_ts__hour + , subq_0.bio_added_ts__day + , subq_0.bio_added_ts__week + , subq_0.bio_added_ts__month + , subq_0.bio_added_ts__quarter + , subq_0.bio_added_ts__year + , subq_0.bio_added_ts__extract_year + , subq_0.bio_added_ts__extract_quarter + , subq_0.bio_added_ts__extract_month + , subq_0.bio_added_ts__extract_day + , subq_0.bio_added_ts__extract_dow + , subq_0.bio_added_ts__extract_doy + , subq_0.last_login_ts__minute + , subq_0.last_login_ts__hour + , subq_0.last_login_ts__day + , subq_0.last_login_ts__week + , subq_0.last_login_ts__month + , subq_0.last_login_ts__quarter + , subq_0.last_login_ts__year + , subq_0.last_login_ts__extract_year + , subq_0.last_login_ts__extract_quarter + , subq_0.last_login_ts__extract_month + , subq_0.last_login_ts__extract_day + , subq_0.last_login_ts__extract_dow + , subq_0.last_login_ts__extract_doy + , subq_0.archived_at__hour + , subq_0.archived_at__day + , subq_0.archived_at__week + , subq_0.archived_at__month + , subq_0.archived_at__quarter + , subq_0.archived_at__year + , subq_0.archived_at__extract_year + , subq_0.archived_at__extract_quarter + , subq_0.archived_at__extract_month + , subq_0.archived_at__extract_day + , subq_0.archived_at__extract_dow + , subq_0.archived_at__extract_doy + , subq_0.user__ds__day + , subq_0.user__ds__week + , subq_0.user__ds__month + , subq_0.user__ds__quarter + , subq_0.user__ds__year + , subq_0.user__ds__extract_year + , subq_0.user__ds__extract_quarter + , subq_0.user__ds__extract_month + , subq_0.user__ds__extract_day + , subq_0.user__ds__extract_dow + , subq_0.user__ds__extract_doy + , subq_0.user__created_at__day + , subq_0.user__created_at__week + , subq_0.user__created_at__month + , subq_0.user__created_at__quarter + , subq_0.user__created_at__year + , subq_0.user__created_at__extract_year + , subq_0.user__created_at__extract_quarter + , subq_0.user__created_at__extract_month + , subq_0.user__created_at__extract_day + , subq_0.user__created_at__extract_dow + , subq_0.user__created_at__extract_doy + , subq_0.user__ds_partitioned__day + , subq_0.user__ds_partitioned__week + , subq_0.user__ds_partitioned__month + , subq_0.user__ds_partitioned__quarter + , subq_0.user__ds_partitioned__year + , subq_0.user__ds_partitioned__extract_year + , subq_0.user__ds_partitioned__extract_quarter + , subq_0.user__ds_partitioned__extract_month + , subq_0.user__ds_partitioned__extract_day + , subq_0.user__ds_partitioned__extract_dow + , subq_0.user__ds_partitioned__extract_doy + , subq_0.user__last_profile_edit_ts__millisecond + , subq_0.user__last_profile_edit_ts__second + , subq_0.user__last_profile_edit_ts__minute + , subq_0.user__last_profile_edit_ts__hour + , subq_0.user__last_profile_edit_ts__day + , subq_0.user__last_profile_edit_ts__week + , subq_0.user__last_profile_edit_ts__month + , subq_0.user__last_profile_edit_ts__quarter + , subq_0.user__last_profile_edit_ts__year + , subq_0.user__last_profile_edit_ts__extract_year + , subq_0.user__last_profile_edit_ts__extract_quarter + , subq_0.user__last_profile_edit_ts__extract_month + , subq_0.user__last_profile_edit_ts__extract_day + , subq_0.user__last_profile_edit_ts__extract_dow + , subq_0.user__last_profile_edit_ts__extract_doy + , subq_0.user__bio_added_ts__second + , subq_0.user__bio_added_ts__minute + , subq_0.user__bio_added_ts__hour + , subq_0.user__bio_added_ts__day + , subq_0.user__bio_added_ts__week + , subq_0.user__bio_added_ts__month + , subq_0.user__bio_added_ts__quarter + , subq_0.user__bio_added_ts__year + , subq_0.user__bio_added_ts__extract_year + , subq_0.user__bio_added_ts__extract_quarter + , subq_0.user__bio_added_ts__extract_month + , subq_0.user__bio_added_ts__extract_day + , subq_0.user__bio_added_ts__extract_dow + , subq_0.user__bio_added_ts__extract_doy + , subq_0.user__last_login_ts__minute + , subq_0.user__last_login_ts__hour + , subq_0.user__last_login_ts__day + , subq_0.user__last_login_ts__week + , subq_0.user__last_login_ts__month + , subq_0.user__last_login_ts__quarter + , subq_0.user__last_login_ts__year + , subq_0.user__last_login_ts__extract_year + , subq_0.user__last_login_ts__extract_quarter + , subq_0.user__last_login_ts__extract_month + , subq_0.user__last_login_ts__extract_day + , subq_0.user__last_login_ts__extract_dow + , subq_0.user__last_login_ts__extract_doy + , subq_0.user__archived_at__hour + , subq_0.user__archived_at__day + , subq_0.user__archived_at__week + , subq_0.user__archived_at__month + , subq_0.user__archived_at__quarter + , subq_0.user__archived_at__year + , subq_0.user__archived_at__extract_year + , subq_0.user__archived_at__extract_quarter + , subq_0.user__archived_at__extract_month + , subq_0.user__archived_at__extract_day + , subq_0.user__archived_at__extract_dow + , subq_0.user__archived_at__extract_doy + , subq_0.archived_at__hour AS metric_time__hour + , subq_0.archived_at__day AS metric_time__day + , subq_0.archived_at__week AS metric_time__week + , subq_0.archived_at__month AS metric_time__month + , subq_0.archived_at__quarter AS metric_time__quarter + , subq_0.archived_at__year AS metric_time__year + , subq_0.archived_at__extract_year AS metric_time__extract_year + , subq_0.archived_at__extract_quarter AS metric_time__extract_quarter + , subq_0.archived_at__extract_month AS metric_time__extract_month + , subq_0.archived_at__extract_day AS metric_time__extract_day + , subq_0.archived_at__extract_dow AS metric_time__extract_dow + , subq_0.archived_at__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.home_state + , subq_0.user__home_state + , subq_0.archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + SELECT + 1 AS new_users + , 1 AS archived_users + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS ds__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS created_at__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS user__ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS user__ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS user__ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS user__ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS user__ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS user__ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS user__ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS user__ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS user__ds__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.ds) AS user__ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS user__ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS user__created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS user__created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS user__created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS user__created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS user__created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state AS user__home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS user__archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS user__archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS user__archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS user__archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS user__archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS user__archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_day + , EXTRACT(dayofweekiso FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_doy + , users_ds_source_src_28000.user_id AS user + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..8e318e894d --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Snowflake/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql @@ -0,0 +1,47 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ts AS metric_time__hour + , DATE_TRUNC('day', ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_17 + ) subq_18 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + metric_time__day +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + -- Aggregate Measures + SELECT + metric_time__day + , SUM(archived_users) AS archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + -- Metric Time Dimension 'archived_at' + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + DATE_TRUNC('hour', archived_at) AS metric_time__hour + , DATE_TRUNC('day', archived_at) AS metric_time__day + , 1 AS archived_users + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_12 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql new file mode 100644 index 0000000000..428c67859c --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_not_in_group_by__plan0.sql @@ -0,0 +1,253 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.bookings AS bookings + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ds AS metric_time__day + , DATE_TRUNC('month', subq_7.ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_7 + ) subq_8 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.bookings) AS bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.metric_time__month + , subq_2.bookings + FROM ( + -- Pass Only Elements: ['bookings', 'metric_time__day', 'metric_time__month'] + SELECT + subq_1.metric_time__day + , subq_1.metric_time__month + , 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_28000.booking_value + , bookings_source_src_28000.booking_value AS max_booking_value + , bookings_source_src_28000.booking_value AS min_booking_value + , bookings_source_src_28000.guest_id AS bookers + , bookings_source_src_28000.booking_value AS average_booking_value + , bookings_source_src_28000.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_28000.booking_value AS median_booking_value + , bookings_source_src_28000.booking_value AS booking_value_p99 + , bookings_source_src_28000.booking_value AS discrete_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_28000.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_28000.is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS paid_at__extract_doy + , bookings_source_src_28000.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_28000.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_28000.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_28000.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_28000.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_28000.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_28000.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_28000.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_28000.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_28000.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_28000.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_28000.listing_id AS listing + , bookings_source_src_28000.guest_id AS guest + , bookings_source_src_28000.host_id AS host + , bookings_source_src_28000.listing_id AS booking__listing + , bookings_source_src_28000.guest_id AS booking__guest + , bookings_source_src_28000.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..617bf2dd6f --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_not_in_group_by__plan0_optimized.sql @@ -0,0 +1,45 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.bookings AS bookings_join_to_time_spine_with_tiered_filters +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ds AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_17 + ) subq_18 + WHERE ( + metric_time__day <= '2020-01-02' + ) AND ( + metric_time__month > '2020-01-01' + ) +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['bookings', 'metric_time__day'] + -- 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', 'metric_time__month'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , DATE_TRUNC('month', ds) AS metric_time__month + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_28000 + ) subq_12 + WHERE ((metric_time__day >= '2020-01-02') AND (metric_time__day <= '2020-01-02')) AND (metric_time__month > '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql new file mode 100644 index 0000000000..2bf7a13538 --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0.sql @@ -0,0 +1,438 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.archived_users AS archived_users + FROM ( + -- Filter Time Spine + SELECT + subq_8.metric_time__day + FROM ( + -- Time Spine + SELECT + subq_7.ts AS metric_time__hour + , DATE_TRUNC('day', subq_7.ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_7 + ) subq_8 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + subq_8.metric_time__day + ) subq_6 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.archived_users) AS archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.archived_users + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__hour + , subq_2.metric_time__day + , subq_2.archived_users + FROM ( + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + subq_1.metric_time__hour + , subq_1.metric_time__day + , subq_1.archived_users + FROM ( + -- Metric Time Dimension 'archived_at' + 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.created_at__day + , subq_0.created_at__week + , subq_0.created_at__month + , subq_0.created_at__quarter + , subq_0.created_at__year + , subq_0.created_at__extract_year + , subq_0.created_at__extract_quarter + , subq_0.created_at__extract_month + , subq_0.created_at__extract_day + , subq_0.created_at__extract_dow + , subq_0.created_at__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.last_profile_edit_ts__millisecond + , subq_0.last_profile_edit_ts__second + , subq_0.last_profile_edit_ts__minute + , subq_0.last_profile_edit_ts__hour + , subq_0.last_profile_edit_ts__day + , subq_0.last_profile_edit_ts__week + , subq_0.last_profile_edit_ts__month + , subq_0.last_profile_edit_ts__quarter + , subq_0.last_profile_edit_ts__year + , subq_0.last_profile_edit_ts__extract_year + , subq_0.last_profile_edit_ts__extract_quarter + , subq_0.last_profile_edit_ts__extract_month + , subq_0.last_profile_edit_ts__extract_day + , subq_0.last_profile_edit_ts__extract_dow + , subq_0.last_profile_edit_ts__extract_doy + , subq_0.bio_added_ts__second + , subq_0.bio_added_ts__minute + , subq_0.bio_added_ts__hour + , subq_0.bio_added_ts__day + , subq_0.bio_added_ts__week + , subq_0.bio_added_ts__month + , subq_0.bio_added_ts__quarter + , subq_0.bio_added_ts__year + , subq_0.bio_added_ts__extract_year + , subq_0.bio_added_ts__extract_quarter + , subq_0.bio_added_ts__extract_month + , subq_0.bio_added_ts__extract_day + , subq_0.bio_added_ts__extract_dow + , subq_0.bio_added_ts__extract_doy + , subq_0.last_login_ts__minute + , subq_0.last_login_ts__hour + , subq_0.last_login_ts__day + , subq_0.last_login_ts__week + , subq_0.last_login_ts__month + , subq_0.last_login_ts__quarter + , subq_0.last_login_ts__year + , subq_0.last_login_ts__extract_year + , subq_0.last_login_ts__extract_quarter + , subq_0.last_login_ts__extract_month + , subq_0.last_login_ts__extract_day + , subq_0.last_login_ts__extract_dow + , subq_0.last_login_ts__extract_doy + , subq_0.archived_at__hour + , subq_0.archived_at__day + , subq_0.archived_at__week + , subq_0.archived_at__month + , subq_0.archived_at__quarter + , subq_0.archived_at__year + , subq_0.archived_at__extract_year + , subq_0.archived_at__extract_quarter + , subq_0.archived_at__extract_month + , subq_0.archived_at__extract_day + , subq_0.archived_at__extract_dow + , subq_0.archived_at__extract_doy + , subq_0.user__ds__day + , subq_0.user__ds__week + , subq_0.user__ds__month + , subq_0.user__ds__quarter + , subq_0.user__ds__year + , subq_0.user__ds__extract_year + , subq_0.user__ds__extract_quarter + , subq_0.user__ds__extract_month + , subq_0.user__ds__extract_day + , subq_0.user__ds__extract_dow + , subq_0.user__ds__extract_doy + , subq_0.user__created_at__day + , subq_0.user__created_at__week + , subq_0.user__created_at__month + , subq_0.user__created_at__quarter + , subq_0.user__created_at__year + , subq_0.user__created_at__extract_year + , subq_0.user__created_at__extract_quarter + , subq_0.user__created_at__extract_month + , subq_0.user__created_at__extract_day + , subq_0.user__created_at__extract_dow + , subq_0.user__created_at__extract_doy + , subq_0.user__ds_partitioned__day + , subq_0.user__ds_partitioned__week + , subq_0.user__ds_partitioned__month + , subq_0.user__ds_partitioned__quarter + , subq_0.user__ds_partitioned__year + , subq_0.user__ds_partitioned__extract_year + , subq_0.user__ds_partitioned__extract_quarter + , subq_0.user__ds_partitioned__extract_month + , subq_0.user__ds_partitioned__extract_day + , subq_0.user__ds_partitioned__extract_dow + , subq_0.user__ds_partitioned__extract_doy + , subq_0.user__last_profile_edit_ts__millisecond + , subq_0.user__last_profile_edit_ts__second + , subq_0.user__last_profile_edit_ts__minute + , subq_0.user__last_profile_edit_ts__hour + , subq_0.user__last_profile_edit_ts__day + , subq_0.user__last_profile_edit_ts__week + , subq_0.user__last_profile_edit_ts__month + , subq_0.user__last_profile_edit_ts__quarter + , subq_0.user__last_profile_edit_ts__year + , subq_0.user__last_profile_edit_ts__extract_year + , subq_0.user__last_profile_edit_ts__extract_quarter + , subq_0.user__last_profile_edit_ts__extract_month + , subq_0.user__last_profile_edit_ts__extract_day + , subq_0.user__last_profile_edit_ts__extract_dow + , subq_0.user__last_profile_edit_ts__extract_doy + , subq_0.user__bio_added_ts__second + , subq_0.user__bio_added_ts__minute + , subq_0.user__bio_added_ts__hour + , subq_0.user__bio_added_ts__day + , subq_0.user__bio_added_ts__week + , subq_0.user__bio_added_ts__month + , subq_0.user__bio_added_ts__quarter + , subq_0.user__bio_added_ts__year + , subq_0.user__bio_added_ts__extract_year + , subq_0.user__bio_added_ts__extract_quarter + , subq_0.user__bio_added_ts__extract_month + , subq_0.user__bio_added_ts__extract_day + , subq_0.user__bio_added_ts__extract_dow + , subq_0.user__bio_added_ts__extract_doy + , subq_0.user__last_login_ts__minute + , subq_0.user__last_login_ts__hour + , subq_0.user__last_login_ts__day + , subq_0.user__last_login_ts__week + , subq_0.user__last_login_ts__month + , subq_0.user__last_login_ts__quarter + , subq_0.user__last_login_ts__year + , subq_0.user__last_login_ts__extract_year + , subq_0.user__last_login_ts__extract_quarter + , subq_0.user__last_login_ts__extract_month + , subq_0.user__last_login_ts__extract_day + , subq_0.user__last_login_ts__extract_dow + , subq_0.user__last_login_ts__extract_doy + , subq_0.user__archived_at__hour + , subq_0.user__archived_at__day + , subq_0.user__archived_at__week + , subq_0.user__archived_at__month + , subq_0.user__archived_at__quarter + , subq_0.user__archived_at__year + , subq_0.user__archived_at__extract_year + , subq_0.user__archived_at__extract_quarter + , subq_0.user__archived_at__extract_month + , subq_0.user__archived_at__extract_day + , subq_0.user__archived_at__extract_dow + , subq_0.user__archived_at__extract_doy + , subq_0.archived_at__hour AS metric_time__hour + , subq_0.archived_at__day AS metric_time__day + , subq_0.archived_at__week AS metric_time__week + , subq_0.archived_at__month AS metric_time__month + , subq_0.archived_at__quarter AS metric_time__quarter + , subq_0.archived_at__year AS metric_time__year + , subq_0.archived_at__extract_year AS metric_time__extract_year + , subq_0.archived_at__extract_quarter AS metric_time__extract_quarter + , subq_0.archived_at__extract_month AS metric_time__extract_month + , subq_0.archived_at__extract_day AS metric_time__extract_day + , subq_0.archived_at__extract_dow AS metric_time__extract_dow + , subq_0.archived_at__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.home_state + , subq_0.user__home_state + , subq_0.archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + SELECT + 1 AS new_users + , 1 AS archived_users + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.ds) AS ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS archived_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds) AS user__ds__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds) AS user__ds__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds) AS user__ds__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds) AS user__ds__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds) AS user__ds__year + , EXTRACT(year FROM users_ds_source_src_28000.ds) AS user__ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds) AS user__ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds) AS user__ds__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds) AS user__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.ds) AS user__ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds) AS user__ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.created_at) AS user__created_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.created_at) AS user__created_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.created_at) AS user__created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.created_at) AS user__created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.created_at) AS user__created_at__year + , EXTRACT(year FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.created_at) AS user__created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.ds_partitioned) AS user__ds_partitioned__extract_doy + , users_ds_source_src_28000.home_state AS user__home_state + , DATE_TRUNC('millisecond', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__millisecond + , DATE_TRUNC('second', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_profile_edit_ts) AS user__last_profile_edit_ts__extract_doy + , DATE_TRUNC('second', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__second + , DATE_TRUNC('minute', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.bio_added_ts) AS user__bio_added_ts__extract_doy + , DATE_TRUNC('minute', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__minute + , DATE_TRUNC('hour', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__hour + , DATE_TRUNC('day', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__day + , DATE_TRUNC('week', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__week + , DATE_TRUNC('month', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__year + , EXTRACT(year FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.last_login_ts) AS user__last_login_ts__extract_doy + , DATE_TRUNC('hour', users_ds_source_src_28000.archived_at) AS user__archived_at__hour + , DATE_TRUNC('day', users_ds_source_src_28000.archived_at) AS user__archived_at__day + , DATE_TRUNC('week', users_ds_source_src_28000.archived_at) AS user__archived_at__week + , DATE_TRUNC('month', users_ds_source_src_28000.archived_at) AS user__archived_at__month + , DATE_TRUNC('quarter', users_ds_source_src_28000.archived_at) AS user__archived_at__quarter + , DATE_TRUNC('year', users_ds_source_src_28000.archived_at) AS user__archived_at__year + , EXTRACT(year FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_month + , EXTRACT(day FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_28000.archived_at) AS user__archived_at__extract_doy + , users_ds_source_src_28000.user_id AS user + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ON + subq_6.metric_time__day = subq_5.metric_time__day +) subq_9 diff --git a/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..8e318e894d --- /dev/null +++ b/tests_metricflow/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_join_to_time_spine_with_filter_smaller_than_group_by__plan0_optimized.sql @@ -0,0 +1,47 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day AS metric_time__day + , subq_15.archived_users AS archived_users_join_to_time_spine +FROM ( + -- Filter Time Spine + SELECT + metric_time__day + FROM ( + -- Time Spine + SELECT + ts AS metric_time__hour + , DATE_TRUNC('day', ts) AS metric_time__day + FROM ***************************.mf_time_spine_hour subq_17 + ) subq_18 + WHERE ( + metric_time__hour > '2020-01-01 00:09:00' + ) AND ( + metric_time__day = '2020-01-01' + ) + GROUP BY + metric_time__day +) subq_16 +LEFT OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: ['archived_users', 'metric_time__day'] + -- Aggregate Measures + SELECT + metric_time__day + , SUM(archived_users) AS archived_users + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + -- Metric Time Dimension 'archived_at' + -- Pass Only Elements: ['archived_users', 'metric_time__day', 'metric_time__hour'] + SELECT + DATE_TRUNC('hour', archived_at) AS metric_time__hour + , DATE_TRUNC('day', archived_at) AS metric_time__day + , 1 AS archived_users + FROM ***************************.dim_users users_ds_source_src_28000 + ) subq_12 + WHERE (metric_time__hour > '2020-01-01 00:09:00') AND (metric_time__day = '2020-01-01') + GROUP BY + metric_time__day +) subq_15 +ON + subq_16.metric_time__day = subq_15.metric_time__day