임시 테이블 결합 SQL

Question

저는 SQL에 처음 접했습니다. 나는 구글의 빅 쿼리를 사용하고있다. 다음과 같은 방법으로 두 개의 임시 테이블을 결합하여 만들려합니다. 가능한 가장 간단한 방법으로 어떻게 이것을 할 수 있습니까?

(select page_title, integer(substr(page_title, instr(page_title,':')-2,2)) as episode, page_views, unique_users, avg_time_on_page 
from 
(Select page_title, event_name, count(*) as page_views, count(distinct(user_id)) as unique_users, avg((next_page_ts-event_time_ts)/(60*1000000)) as avg_time_on_page 
from 
(Select page_title, event_name, user_id, page_url, event_time_ts, lead(event_time_ts) over (partition by user_id, session_id order by event_time_ts) as next_page_ts 
from cooladata 
Where date_range(last 7 days) and event_name = "page_load" and ((lower(page_url) CONTAINS "shows-the-amazing-race-episodes" and page_title CONTAINS "עונה 5") or (lower(page_url) CONTAINS "shows-the-amazing-race-episodes" and page_title CONTAINS "פרקים מלאים")) 
) 
group by page_title, event_name 
order by page_title, event_name 
) 
where page_views > 100 and unique_users > 100 
order by episode 
) as a 



(select integer(substr(page_title,instr(page_title,':')-2,2)) as episode_id, count(*) as video_views 
from cooladata 
where date_range(last 7 days) and event_name like "%video_start%" and ((lower(page_url) CONTAINS "shows-the-amazing-race-episodes" and page_title CONTAINS "עונה 5") or (lower(page_url) CONTAINS "shows-the-amazing-race-episodes" and page_title CONTAINS "פרקים מלאים")) 
group by episode_id 
order by episode_id 
) as b 


select a.page_title, a.page_views, a.unique_users, b.video_views 
from a 
outer left join b 
on a.episode = b.episode_id 

Answer 1

다음을 시도해보십시오. 보시다시피, 모두 한 번에 스캔 할 수 있습니다. 참여하지 않아도됩니다.

SELECT 
    page_title, 
    SUM(CASE WHEN event_name = "page_load" THEN event_views END) AS page_views, 
    MAX(CASE WHEN event_name = "page_load" THEN unique_users_for_event END) AS unique_users, 
    MAX(CASE WHEN event_name = "page_load" THEN avg_time_for_event END) AS avg_time_on_page, 
    SUM(CASE WHEN event_name <> "page_load" THEN event_views END) AS video_views 
FROM (
    SELECT page_title, event_name, 
    COUNT(1) AS event_views, 
    EXACT_COUNT_DISTINCT(user_id) AS unique_users_for_event,  
    AVG((next_page_ts-event_time_ts)/(60*1000000)) AS avg_time_for_event 
    FROM (
    SELECT 
     page_title, event_name, user_id, page_url, event_time_ts, 
     LEAD(event_time_ts) OVER (PARTITION BY user_id, session_id, event_name ORDER BY event_time_ts) AS next_page_ts 
    FROM cooladata 
    WHERE DATEDIFF(CURRENT_DATE(), DATE(event_time_ts)) < 8 
    AND (event_name = "page_load" OR event_name LIKE "%video_start%") 
    AND (
     (LOWER(page_url) CONTAINS "shows-the-amazing-race-episodes" AND page_title CONTAINS "עונה 5") 
     OR (LOWER(page_url) CONTAINS "shows-the-amazing-race-episodes" AND page_title CONTAINS "פרקים מלאים") 
    ) 
) 
    GROUP BY page_title, event_name 
) 
GROUP BY page_title 
HAVING page_views > 100 AND unique_users > 100