[英]SQL How to count case
我試圖說明一個選擇聲明。 但是,早上7點8點9點等有多個結果。我希望結果顯示:
數時間
上午10點半
早上6點8分
相反,它顯示所有8ams所有8ams等。
select
case
when aq.datestarted between to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 07:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '7am'
when aq.datestarted between to_date( '22-MAY-2014 08:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 08:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '8am'
when aq.datestarted between to_date( '22-MAY-2014 09:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 09:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '9am'
when aq.datestarted between to_date( '22-MAY-2014 10:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 10:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '10am'
when aq.datestarted between to_date( '22-MAY-2014 11:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 11:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '11am'
END as Time
from archivedqueue aq
where aq.datestarted between to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 11:59:59', 'dd-mon-yyyy hh24:mi:ss' )
select COUNT(*), Time
FROM
(SELECT
case
when aq.datestarted between to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 07:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '7am'
when aq.datestarted between to_date( '22-MAY-2014 08:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 08:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '8am'
when aq.datestarted between to_date( '22-MAY-2014 09:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 09:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '9am'
when aq.datestarted between to_date( '22-MAY-2014 10:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 10:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '10am'
when aq.datestarted between to_date( '22-MAY-2014 11:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 11:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '11am'
END as Time
from archivedqueue aq
where aq.datestarted between to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 11:59:59', 'dd-mon-yyyy hh24:mi:ss' )) tempTable
GROUP BY Time
Group by Time
將所有7個ams8ms組合在一起。 Count(*)
計算每個組中的行數。
SELECT COUNT(*) AS Count, Time
FROM (SELECT case
when aq.datestarted between to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 07:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '7am'
when aq.datestarted between to_date( '22-MAY-2014 08:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 08:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '8am'
when aq.datestarted between to_date( '22-MAY-2014 09:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 09:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '9am'
when aq.datestarted between to_date( '22-MAY-2014 10:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 10:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '10am'
when aq.datestarted between to_date( '22-MAY-2014 11:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 11:59:59', 'dd-mon-yyyy hh24:mi:ss' ) then '11am'
END as Time
FROM archivedqueue aq
WHERE aq.datestarted between to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 11:59:59', 'dd-mon-yyyy hh24:mi:ss' )
) name_required
GROUP BY Time
ORDER BY Time;
子查詢是您編寫的(除了在各種BETWEEN條件下的第二個TO_DATE中的修復 - 當您可以看到沒有水平滾動的代碼時更容易發現問題!),稍微重新格式化。 請注意,ORDER BY不完美,因為排序是基於文本的(所以10am
和11am
條目將出現在7am
到9am
之前)。 如果您不喜歡這樣,請使用文本可排序的格式,例如07
或0700
或0700-07:59
而不是'am'標記的時間。
這不可擴展。 您需要更加努力地處理CASE語句中的內容。
也許:
TO_CHAR(aq.datestarted, 'yyyy-mm-dd hh24:00') AS time
然后,WHERE子句中的限制條件為搜索提供了正確的限制。
SELECT COUNT(*) AS Count, TO_CHAR(aq.datestarted, 'yyyy-mm-dd hh:00') AS time
FROM archivedqueue aq
WHERE aq.datestarted BETWEEN to_date('22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss')
AND to_date('22-MAY-2014 11:59:59', 'dd-mon-yyyy hh24:mi:ss')
GROUP BY Time
ORDER BY Time;
為了讓它按照您的預期運行,請使用以下內容...但是,可能有一種比硬編碼日期和時間更好的方法。
SELECT COUNT(*) AS 'Count',
CASE
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 07:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '7am'
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 08:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 08:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '8am'
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 09:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 09:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '9am'
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 10:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 10:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '10am'
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 11:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 11:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '11am'
END AS 'Time'
FROM archivedqueue aq
WHERE aq.datestarted BETWEEN to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss'
GROUP BY CASE
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 07:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '7am'
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 08:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 08:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '8am'
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 09:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 09:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '9am'
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 10:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 10:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '10am'
WHEN aq.datestarted BETWEEN to_date( '22-MAY-2014 11:00:00', 'dd-mon-yyyy hh24:mi:ss' ) AND to_date( '22-MAY-2014 " 11:59:59', 'dd-mon-yyyy hh24:mi:ss' ) THEN '11am'
END
你只想要這個:
select count(*) count, hour(datestarted) time
from rchivedqueue
where datestarted between to_date( '22-MAY-2014 07:00:00', 'dd-mon-yyyy hh24:mi:ss' ) and to_date( '22-MAY-2014 " 11:59:59', 'dd-mon-yyyy hh24:mi:ss' )
group by hour(datestarted)
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.