Inner Join Taking Forever To Run In Big Query - sql

Question

I have a query that is taking forever to do an inner join. It runs for 6 hours and then times out. The query is:
SELECT
a.*,
b.total_video,
b.total_initial_video,
b.total_discovery,
b.total_sub_video,
b.total_sub_initial_video,
b.total_sub_discovery,
FROM temp_table.source_stage_ a
INNER JOIN temp_table.source_stage2_ b
ON (a.day = b.day
AND a.state_desc = b.state_desc
AND a.package_desc = b.package_desc
AND a.brand = b.v1_brand
))
temp_table.source_stage_ is
create or replace table temp_table.source_stage_ as (
select *,
case
when cycle = 0
then 'Trial'
when cycle = 1
then '1 Month'
when cycle between 2 and 3
then '2 - 3 Months'
when cycle between 4 and 5
then '4 - 5 Months'
when cycle >= 6
then '6+ Months'
end as group,
from(
select
*,
case when active_days < 0 then 0 else cast( ceil( ( case when active_days < 1 then 1 else active_days end ) / 30 ) as int64 ) end cycle, from (
SELECT
t.activation_dt,
t.end_dt,
t.trial_start_dt,
t.start_dt,
date_diff(p.day_dt,coalesce(activation_dt,trial_start_dt,start_dt),DAY) as active_days,
date_diff(p.day_dt,coalesce(start_dt),DAY) as active_days,
p.day_dt,
state_desc,
package_desc,
v1_brand,
sc.scarp_group,
p.last_touch,
SUM(p.video_playback_ind) as video_start_cnt,
SUM(CASE WHEN cd_path_rank_nbr = 1 THEN p.video_playback_ind ELSE 0 END) as initial_video_start_cnt,
SUM(CASE WHEN p.video_playback_ind = 1 AND f.session_nbr IS NOT NULL THEN 1 ELSE 0 END) as discovery_start_cnt,
COUNT(DISTINCT(p.registration_id_nbr)) as sub_video_start_cnt,
COUNT(DISTINCT(CASE WHEN cd_path_rank_nbr = 1 THEN p.registration_id_nbr ELSE NULL END)) as sub_initial_video_start_cnt,
COUNT(DISTINCT(CASE WHEN f.session_nbr IS NOT NULL THEN p.registration_id_nbr ELSE NULL END)) as sub_discovery_start_cnt,
FROM table1 p
LEFT JOIN table2 f
ON p.day_dt = f.day_dt
AND p.session_nbr = f.session_nbr
AND f.day_dt = '2023-02-11'
LEFT JOIN table3 t
on (p.registration_id_nbr = t.user_id_cd
and p.day_dt between t.activation_dt and t.end_dt)
left join table4 as sc
on (p.registration_id_nbr is not null
and sc.user_id_cd is not null
and p.registration_id_nbr = sc.user_id_cd
and p.day_dt between sc.period_start_dt and sc.period_end_dt)
WHERE p.day_dt = '2023-02-11'
AND p.video_playback_ind = 1
AND p.report_suite_id NOT IN ('cb', 'ic', 'bs')
AND LOWER(p.state_desc) IN ("tr", "s", "di of")
AND lower(package_desc) IN ('cf', 'lc', 'lcp', 'cf-s', 'lc-s', 'lcp-s')
AND v1_brand LIKE 'pp_%'
GROUP BY 1,2,3,4,5,6,7,8,9,10,11,12
)))
temp_table.source_stage2_ is
create or replace table temp_table.source_stage2 as (
select *,
case
when tenure_cycle = 0
then 'Trial'
when tenure_cycle = 1
then '1 Month'
when tenure_cycle between 2 and 3
then '2 - 3 Months'
when tenure_cycle between 4 and 5
then '4 - 5 Months'
when tenure_cycle >= 6
then '6+ Months'
end as tenure_group,
from(
select
*,
case when paid_active_days < 0 then 0 else cast( ceil( ( case when paid_active_days < 1 then 1 else paid_active_days end ) / 30 ) as int64 ) end tenure_cycle, from (
SELECT
t.activation_dt,
t.end_dt,
t.trial_start_dt,
t.paid_start_dt,
date_diff(p.day_dt,coalesce(activation_dt,trial_start_dt,paid_start_dt),DAY) as active_days,
date_diff(p.day_dt,coalesce(paid_start_dt),DAY) as paid_active_days,
p.day_dt,
state_desc,
package_desc,
v1_brand_nm,
sc.scarp_group,
SUM(p.video_playback_ind) as total_video,
SUM(CASE WHEN cd_path_rank_nbr = 1 THEN p.video_playback_ind ELSE 0 END) as total_initial_video,
SUM(CASE WHEN p.video_playback_ind = 1 AND f.v88_player_session_nbr IS NOT NULL THEN 1 ELSE 0 END) as total_discovery,
COUNT(DISTINCT(p.v69_registration_id_nbr)) as total_sub_video,
COUNT(DISTINCT(CASE WHEN cd_path_rank_nbr = 1 THEN p.v69_registration_id_nbr ELSE NULL END)) as total_sub_initial_video,
COUNT(DISTINCT(CASE WHEN f.v88_player_session_nbr IS NOT NULL THEN p.v69_registration_id_nbr ELSE NULL END)) as total_sub_discovery,
FROM `table1` p
LEFT JOIN `table2` f
ON p.day_dt = f.day_dt
AND p.v88_player_session_nbr = f.v88_player_session_nbr
AND f.day_dt = '2023-02-11'
LEFT JOIN `table3` t
on (p.registration_id_nbr = t.cbs_reg_user_id_cd
and p.day_dt between t.activation_dt and t.end_dt)
left join `table4` as sc
on (p.registration_id_nbr is not null
and reg_user_id_cd is not null
and p.registration_id_nbr = reg_user_id_cd
and p.day_dt between sc.period_start_dt and sc.period_end_dt)
WHERE p.day_dt = '2023-02-11'
AND p.video_playback_ind = 1
AND p.report_suite_id NOT IN ('cb', 'ic', 'bs')
AND LOWER(p.state_desc) IN ("tr", "s", "di of")
AND lower(package_desc) IN ('cf', 'lc', 'lcp', 'cf-s', 'lc-s', 'lcp-s')
AND v1_brand_nm LIKE 'pp_%'
GROUP BY 1,2,3,4,5,6,7,8,9,10,11
)))
The last two queries, temp_table.source_stage_ and temp_table.source_stage2_ create temp tables and are the same except one column that is added to the first one