Kombinieren von temporären Tabellen SQL

Question

Ich bin irgendwie neu zu SQL. Ich verwende die große Suchanfrage von Google. Ich möchte erstellen, um zwei temporäre Tabellen auf folgende Weise zu kombinieren. Wie kann ich das auf die einfachste Weise machen?

(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

Versuchen Sie unten. Hier, wie Sie sehen können, alles in einem Scan - kein Beitritt beteiligt

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