I have table that stores the employe info in multiple rows and it having the common name for it along with its user login time and log out time for website, and would like to achieve the result and it may contains multiple names such as (N1,N2,N3..etc)
Name,Key,Time,
N1,TotalExp,No
N1,TotalYears,5
N1,LoggedIn,10:00:00
N1,LoggedOut,20:00:00
Expected Output will like below,
N1,TotalExp,TotalYrs,LoggedDifference
N1,No,5,10
Any one help me to achieve this
Even it's a fact that the design of your database doesn't look well, you can query your data this way:
with your_data as (
select 'N1' as Name,'TotalExp' as [Key],'No' as Time union all
select 'N1','TotalYears','5' union all
select 'N1','LoggedIn','10:00:00' union all
select 'N1','LoggedOut','20:00:00'
)
select
Name,
max(case when [Key] = 'TotalExp' then Time else null end) as TotalExp,
max(case when [Key] = 'TotalYears' then Time else null end) as TotalYrs,
datediff(
hour,
max(case when [Key] = 'LoggedIn' then convert(time, Time) else null end),
max(case when [Key] = 'LoggedOut' then convert(time, Time) else null end)
) as LoggedDifference
from your_data
group by Name
You can test on here
Related
I need to present the attached output in PIC1 as the result in PIC2. The query used for generating PIC1 output in SQLDeveloper:
select subs_nm, as_of_date, run_status, (select max (tp.pr_vl)
from ual_mng.tqueue tq, ual_mng.tparams tp, ual_mng.tstatus ts
WHERE tq.tid = tp.tid AND tq.tid = ts.tid and tq.run_id = pcm.run_id and tp.pr_nm in ('TOT_RECORD_CNT')) as RECORD_COUNT
from UAL_MNG.PCM_SUBS_RUN_DTL_VW pcm where SUBS_NM='S_TS2_AQUA_A1_RLAP_DL' and AS_OF_DATE in ('2021-09-01','2021-09-02') order by run_start_dtm desc;
Appreciate all help.
If you don't need it to be dynamic (ie. it will only be two columns and you know which two months they are) you can do
select subs_nm,
max(case when as_of_date = '2021-09-01' then RECORD_COUNT else 0 end) as SEP1,
max(case when as_of_date = '2021-09-02' then RECORD_COUNT else 0 end) as SEP2,
from (
-- Your query
)
group by subs_nm
You can work out the percentage difference using the same expressions.
nb. I would always use an explicit date format mask. This might not run on a different machine / software. So use to_date('2021-09-01', 'yyyy-mm-dd')
Posting the query, which worked in the script :
select subs_nm, SEP1, SEP2, round((((SEP1-SEP2)/SEP1)*100),2) as DIFF_PER from ( select subs_nm,
max(case when as_of_date='2021-09-01' then RECORD_COUNT else '0' end) as SEP1,
max(case when as_of_date='2021-09-02' then RECORD_COUNT else '0' end) as SEP2 from (-- *Main Query*);
I have a SQL Server table of Customer's Events:
CREATE TABLE CustomerEvent
(
CustomerID int,
EventType int,
EventDate datetime
)
There can be many EventTypes for the same customer in one day.
EventTypes are like
1 - CheckIn
2 - CheckOut
3 - ExamStart
4 - ExamEnd
Now I want to select Customers that are currently (today) on premises. That's Clients who had checked in, but hadn't checked out, no matter if they taking Exam currently or not. Can this be done as a SQL view, or do I have to write a stored procedure for that?
You want today. So I would suggest not exists:
select ce.customerid
from customerevent ce
where eventtype = 1 and
event_date >= current_date and
event_date < current_date + interval '1 day' and
not exists (select 1
from customerevent ce2
where ce2.customerid = ce.customerid and
ce2.eventtype = 2 and
ce2.eventdate > ce.eventdate
);
You can easily incorporate this into a view.
Note: date/time functions are notoriously database specific, so the exact syntax for "today" may vary.
EDIT:
In SQL Server, this can be written as:
select ce.customerid
from customerevent ce
where eventtype = 1 and
convert(date, event_date) >= concat(date, current_date) and
not exists (select 1
from customerevent ce2
where ce2.customerid = ce.customerid and
ce2.eventtype = 2 and
ce2.eventdate > ce.eventdate
);
You can use aggregation, and filter with a having clause that compares the last check in of each customer to their last check out:
create view customerview as
select customerid
from customerevent
group by customerid
having
max(case when eventtype = 1 then eventdate end)
> max(case when eventtype = 2 then eventdate end)
or (
max(case when eventtype = 1 then eventdate end) is not null
and max(case when eventtype = 2 then eventdate end) is null
)
The second condition in the having condition handles customers that checked in at least once but never checked out.
We can simplify the query a little with coalesce() and a fixed date that you are sure to be prior to any row in your table:
having max(case when eventtype = 1 then eventdate end)
> max(case when eventtype = 2 then eventdate else '19700101' end)
I have a SQL query that seems to be duplicating certain timestamps instead of correctly pivoting all the data into a single timestamp row. Am i missing something crazy?
HELP?!
SELECT
[time]
,DLPK
,IMBL
,THLD
,VEXC
,FLOW
FROM X
PIVOT
(
max([value])
FOR [tag2] IN (DLPK, IMBL, THLD, VEXC, FLOW)
) AS P
ORDER by [time]
Conditional aggregation is simpler and less error-prone:
SELECT [time],
MAX(CASE WHEN tag = 'DLPK' THEN value END) as dlpk,
MAX(CASE WHEN tag = 'IMBL' THEN value END) as imbl,
MAX(CASE WHEN tag = 'THLD' THEN value END) as thld,
MAX(CASE WHEN tag = 'VEXC' THEN value END) as vexc,
MAX(CASE WHEN tag = 'FLOW' THEN value END) as flow
FROM X
GROUP BY [time]
ORDER by [time]
I'm trying to figure out if what I'm trying to do is possible. Instead of resorting to multiple queries on a table, I wanted to group the records by business date and id then group by the id and select one date for a field and another date for the other field.
SELECT
*
{AMOUNT FROM DATE}
{AMOUNT FROM OTHER DATE}
FROM (
SELECT
date,
id,
SUM(amount) AS amount
FROM
table
GROUP BY id, date
AS subquery
GROUP BY id
It seems that you're looking to do a pivot query. I usually use cross tabs for this. Based on the query you posted, it could look like:
SELECT
id,
SUM(CASE WHEN date = '20190901' THEN amount ELSE 0 END) AmountFromSept01,
SUM(CASE WHEN date = '20191001' THEN amount ELSE 0 END) AmountFromOct01
FROM (
SELECT
date,
id,
SUM(amount) AS amount
FROM
table
GROUP BY id, date
)AS subquery
GROUP BY id;
You could also use a CTE.
WITH CTE AS(
SELECT
date,
id,
SUM(amount) AS amount
FROM
table
GROUP BY id, date
)
SELECT
id,
SUM(CASE WHEN date = '20190901' THEN amount ELSE 0 END) AmountFromSept01,
SUM(CASE WHEN date = '20191001' THEN amount ELSE 0 END) AmountFromOct01
FROM CTE
GROUP BY id;
Or even be a rebel and do the operation directly.
SELECT
id,
SUM(CASE WHEN date = '20190901' THEN amount ELSE 0 END) AmountFromSept01,
SUM(CASE WHEN date = '20191001' THEN amount ELSE 0 END) AmountFromOct01
FROM CTE
GROUP BY id;
However, some people have tested for performance and found that pre-aggregating can improve performance.
If I understand you correctly, then you're just trying to pivot, but only with two particular dates:
select id,
date1 = sum(iif(date = '2000-01-01', amount, null)),
date2 = sum(iif(date = '2000-01-02', amount, null))
from [table]
group by id
I searched for many solutions on SO and elsewhere but couldn't quite understand how to write a query for my problem.
Anyway my query looks like below
SELECT * FROM
(
SELECT Id, Date, Name, Amount,
CASE
WHEN DATEDIFF(DAY,Date,GETDATE()) <=0
THEN 'Current'
WHEN DATEDIFF(DAY,Date,GETDATE()) <30
THEN 'Due30'
WHEN DATEDIFF(DAY,Date,GETDATE()) <60
THEN 'Due60'
ELSE 'Due90'
END AS [Age]
FROM Statement
WHERE (Amount <> 0)
) AS S
PIVOT
(
SUM(Amount)
FOR[Age] IN ([Current],[Due30],[Due60],[Due90])
) P
and the result looks like this
Id Date Name Current Due30 Due60 Due90
----------- ---------- --------------------------------------------
1 2016-04-03 Alan NULL NULL NULL 110.00
2 2016-05-02 TC NULL NULL 30.00 NULL
where should i insert IsNull condition to be able to remove the null in the result and add a zero there.
I tried inserting IsNull in the pivot query but we all know that is not meant to work
You have to add it repetitively in the final SELECT, when you replace the SELECT * (which should only exist in ad-hoc queries or EXISTS tests) with the column list:
SELECT
Id,
Date,
Name,
COALESCE([Current],0) as [Current],
COALESCE(Due30,0) as Due30,
COALESCE(Due60,0) as Due60,
COALESCE(Due90,0) as Due90
FROM
(
SELECT Id, Date, Name, Amount,
CASE
WHEN DATEDIFF(DAY,Date,GETDATE()) <=0
THEN 'Current'
WHEN DATEDIFF(DAY,Date,GETDATE()) <30
THEN 'Due30'
WHEN DATEDIFF(DAY,Date,GETDATE()) <60
THEN 'Due60'
ELSE 'Due90'
END AS [Age]
FROM Statement
WHERE (Amount <> 0)
) AS S
PIVOT
(
SUM(Amount)
FOR[Age] IN ([Current],[Due30],[Due60],[Due90])
) P
I've also used COALESCE since it's generally the preferred option (ANSI standard, extends to more than two arguments, applies normal type precedence rules) instead of ISNULL.
SELECT Id
, [Date]
, Name
, [Current] = SUM(CASE WHEN val <= 0 THEN Amount ELSE 0 END)
, Due30 = SUM(CASE WHEN val < 30 THEN Amount ELSE 0 END)
, Due60 = SUM(CASE WHEN val < 60 THEN Amount ELSE 0 END)
, Due90 = SUM(CASE WHEN val >= 60 THEN Amount ELSE 0 END)
FROM dbo.[Statement] t
CROSS APPLY (
SELECT val = DATEDIFF(DAY, [Date], GETDATE())
) s
WHERE Amount <> 0
GROUP BY Id, [Date], Name