[英]Use SELECT AS alias in following CASE WHEN statement - Spark SQL
[英]SQL: Fetch rows with least date + Use CASE WHEN with select statement
我有一個包含3列( id , type , date )的表,其中包含以下值:
id type date
--- --- ---
191 0 2016-09-15 11:26:51.000
191 1 2016-09-15 11:30:31.000
200 0 2016-09-15 17:36:19.000
200 1 2016-09-15 18:26:51.000
331 0 2016-09-16 07:26:22.000
這就是我想要做的:
對於上面的每個ticketid,選擇最小日期最少的行。 一旦完成,我想在我的輸出中另一個名為“isEngaged”的列,如果ticketid的任何記錄存在type = 1,則該列將設置為1。
我想要的輸出:
id type date isEngaged
--- --- --- ---
191 0 2016-09-15 11:26:51.000 1
200 0 2016-09-15 17:36:19.000 1
331 0 2016-09-16 07:26:22.000 0
這就是我到目前為止:(這需要返回最少日期的行)
SELECT id, type, date FROM (SELECT ROW_NUMBER() OVER (PARTITION BY id ORDER BY date ASC) AS [Row], id, type, date)
FROM mytable WHERE type IN (0)) WHERE [Row] = 1
真的不確定如何合並isEngaged部分。 我嘗試使用CASE WHEN但不確定如何繼續這樣做:
SELECT id, type, date,
"isEngaged" = CASE WHEN (SELECT * FROM mytable where type in (1) and id = <not sure what to put here>) THEN 1 ELSE 0 END
FROM mytable
如果您知道更好的方法,請告訴我。
如果您只接受列type
0/1
值,則可以使用MAX()
作為窗口函數。
SELECT
id, type, date, isEngaged
FROM (
SELECT
id, type, date,
MAX(type) OVER (PARTITION BY id) AS isEngaged
ROW_NUMBER() OVER (PARTITION BY id ORDER BY date) AS rn
FROM mytable
) t
WHERE rn = 1
如果接受大於1的值,那么MAX()
適當CASE
語句就足夠了:
SELECT
id, type, date, isEngaged
FROM (
SELECT
id, type, date,
MAX(CASE WHEN type = 1 THEN 1 ELSE 0 END) OVER (PARTITION BY id) AS isEngaged
ROW_NUMBER() OVER (PARTITION BY id ORDER BY date) AS rn
FROM mytable
) t
WHERE rn = 1
select
id,
case when sum_engaged > 0 then 1 else 0 end as isEngaged,
min_date
from
(SELECT id,
sum(case when type IN( 1,3) then 1 else 0 end) as sum_engaged, min(date) as min_date
FROM mytable
group by id) g
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