I am trying to achieve the below requirement and need some help.
I created the below query,
SELECT * from
(
select b.extl_acct_nmbr, b.TRAN_DATE, b.tran_time,
case when (a.amount > b.amount) then b.amount
end as amount
,b.ivst_grup, b.grup_prod, b.pensionpymt
from ##pps a
join #pps b
on a.extl_acct_nmbr = b.extl_acct_nmbr
where a.pensionpymt <=2 and b.pensionpymt <=2) rslt
where rstl.amount is not null
Output I am getting,
Requirement is to get
The lowest amount row having same account number. (Completed and getting in the output)
In case both the amounts are same for same account (get the pensionpymt =1) (not sure how to get)
In case only one pensionpymt there add that too in the result set. (not sure how to get)
could you please help, expected output should be like this,
you can use window function:
select * from (
select * , row_number() over (partition by extl_acct_nmbr order by amount asc,pensionpymt) rn
from ##pps a
join #pps b
on a.extl_acct_nmbr = b.extl_acct_nmbr
) t
where rn = 1
Related
I am trying to use COUNT(DISTINC column) OVER(PARTITION BY column) when I am using COUNT + window function(OVER).
I get an error like the one in the title and can't get it to work.
I have looked into how to deal with this error, but I have not found an example of how to deal with such a complex query as the one below.
I cannot find an example of how to deal with such a complex query as shown below, and I am not sure how to handle it.
The COUNT part of the problem exists on line 65.
How can such a complex query be resolved without slowing down?
WITH RECURSIVE "cte" AS((
SELECT
"videos_productvideocomment"."id",
"videos_productvideocomment"."user_id",
"videos_productvideocomment"."video_id",
"videos_productvideocomment"."parent_id",
"videos_productvideocomment"."text",
"videos_productvideocomment"."commented_at",
"videos_productvideocomment"."edited_at",
"videos_productvideocomment"."created_at",
"videos_productvideocomment"."updated_at",
"videos_productvideocomment"."id" AS "root_id"
FROM
"videos_productvideocomment"
WHERE
(
"videos_productvideocomment"."parent_id" IS NULL
AND "videos_productvideocomment"."video_id" = 'f264433c-c0af-49cc-8b40-84453da71b2d'
)
) UNION(
SELECT
"videos_productvideocomment"."id",
"videos_productvideocomment"."user_id",
"videos_productvideocomment"."video_id",
"videos_productvideocomment"."parent_id",
"videos_productvideocomment"."text",
"videos_productvideocomment"."commented_at",
"videos_productvideocomment"."edited_at",
"videos_productvideocomment"."created_at",
"videos_productvideocomment"."updated_at",
"cte"."root_id" AS "root_id"
FROM
"videos_productvideocomment"
INNER JOIN
"cte"
ON "videos_productvideocomment"."parent_id" = "cte"."id"
))
SELECT
*,
EXISTS(
SELECT
(1) AS "a"
FROM
"videos_productvideolikecomment" U0
WHERE
(
U0."comment_id" = t."id"
AND U0."user_id" = '3bd3bc86-0335-481e-9fd2-eb2fb1168f48'
)
LIMIT 1
) AS "liked"
FROM
(
SELECT DISTINCT
"cte"."id",
"cte"."created_at",
"cte"."updated_at",
"cte"."user_id",
"cte"."text",
"cte"."commented_at",
"cte"."edited_at",
"cte"."parent_id",
"cte"."video_id",
"cte"."root_id" AS "root_id",
COUNT(DISTINCT "cte"."root_id") OVER(PARTITION BY "cte"."root_id") AS "reply_count", <--- here
COUNT("videos_productvideolikecomment"."id") OVER(PARTITION BY "cte"."id") AS "liked_count"
FROM
"cte"
LEFT OUTER JOIN
"videos_productvideolikecomment"
ON (
"cte"."id" = "videos_productvideolikecomment"."comment_id"
)
) t
WHERE
t."id" = t."root_id"
ORDER BY
CASE
WHEN t."user_id" = '3bd3bc86-0335-481e-9fd2-eb2fb1168f48' THEN 0
ELSE 1
END ASC,
"liked_count" DESC
DISTINCT will look for duplicates and remove it, but in big data it will take a lot of time to process this query, you should process the middle of the record in the programming part I think it will be fast than. Thank
Error Message :
select list expression not produced by aggregation output (missing
from GROUP BY clause?): CASE WHEN (flag = 1) THEN date_add(lead_ctxdt,
-1) ELSE ctx_date END lot_endt
code :
select c.enrolid, c.ctx_date, c.ctx_regimen, c.lead_ctx, c.lead_ctxdt, min(c.ctx_date) as lot_stdt,
case when (flag = 1 ) then date_add(lead_ctxdt, -1)
else ctx_date
end as lot_endt
from
(
select p.*,
case when (ctx_regimen <> lead_ctx) then 1
else 0
end as flag
from
(
select a.*, lead(a.ctx_regimen, 1) over(partition by enrolid order by ctx_date) as lead_ctx,
lead(ctx_date, 1) over (partition by enrolid order by ctx_date) as lead_ctxdt
from
(
select enrolid, ctx_date, group_concat(distinct ctx_codes) as ctx_regimen
from lotinfo
where ctx_date between ctx_date and date_add(ctx_date, 5)
group by enrolid, ctx_date
) as a
) as p
) as c
group by c.enrolid, c.ctx_date, c.ctx_regimen, c.lead_ctx, c.lead_ctxdt
I want to get the lead_ctx date minus one as the date when the flag is 1
So i found the answer by executing a couple of times the minor changes. Let me tell you, that when you are trying to min or max alongside you have group_conact in the same query then in Impala this doesn't work. You have to write it in two queries per one more sub query and the min() of something in the outer query or vice versa.
Thank you #dnoeth for letting me understand I have the answer with me already.
I am trying to compute a variable (say last_week) and add it back to my main dataset (say new_j). I managed to join it to new_j. However, if I want to use that variable (last_week) now for further calculations, it does not recognise it. Here's my code:
SELECT [Weekkey] AS weekkey
,[article / colour] as prod_id
,[Current MP Department No/Desc] as prod_dept
,[Total Stock] as total_stock
INTO #new_j
FROM [J_20160831] --(that’s the db in server and I created a temp db #new_j)
SELECT prod_id, max(weekkey) as last_week
into #lastweeksales
FROM #new_j
group by prod_id
select *
from #new_j
left join #lastweeksales
on #lastweeksales.prod_id = #new_j.prod_id
So, I joined both successfully and if I run this code, I see column last_week. Now what I want to do is this:
select *
,case
when last_week = max(weekkey) then total_stock
else 0
end as last_stock_position
from #new_j
But it says last_week is not found in new_j. I also tried #lastweeksales.last_week instead of just last_week in the last bit of code, but it didn't either. What's the best way out here? Moreover, is there a better way to do it instead?. The output I am looking to have at the end is a table with these variables: WeekKey, prod_dept, prod_id, total_stock, last_week, last_stock_position
Thanks for the help!!! Much appreciate it.
This normal behaviour of joins..
by selecting this
select * from #new_j left join #lastweeksales
on #lastweeksales.prod_id = #new_j.prod_id'
all the columns of newj and lastweekales will be displayed in same order (first new_j columns and then lastweeksales columns ).So 'last_week' is the last column of lastweeksales.
Secondly,
select *,
case when last_week = max(weekkey) then total_stock
else 0
end as last_stock_position
from #new_j
in above query,your are selecting 'last_week' column which belongs to the table #lastweeksales.
Be careful while selecting the columns.
I guess your expecting,
select a.WeekKey, a.prod_dept, a.prod_id, a.total_stock, b.last_week,
case
when b.last_week = max(a.weekkey) then total_stock
else 0
end as last_stock_position
from #new_j as a
left join #lastweeksales as b
on b.prod_id = a.prod_id
group by a.weekkey,a.prod_dept,a.prod_id,a.total_stock,b.last_week
I have a list and the returned table looks like this. I took the preview of only one car but there are many more.
What I need to do now is check that the current KM value is larger then the previous and smaller then the next. If this is not the case I need to make a field called Trustworthy and should fill it with either 1 or 0 (true/ false).
The result that I have so far is this:
validKMstand and validkmstand2 are how I calculate it. It did not work in one list so that is why I separated it.
In both of my tries my code does not work.
Here is the code that I have so far.
FullList as (
SELECT
*
FROM
eMK_Mileage as Mileage
)
, ValidChecked1 as (
SELECT
UL1.*,
CASE WHEN EXISTS(
SELECT TOP(1)UL2.*
FROM FullList AS UL2
WHERE
UL2.FK_CarID = UL1.FK_CarID AND
UL1.KM_Date > UL2.KM_Date AND
UL1.KM > UL2.KM
ORDER BY UL2.KM_Date DESC
)
THEN 1
ELSE 0
END AS validkmstand
FROM FullList as UL1
)
, ValidChecked2 as (
SELECT
List1.*,
(CASE WHEN List1.KM > ulprev.KM
THEN 1
ELSE 0
END
) AS validkmstand2
FROM ValidChecked1 as List1 outer apply
(SELECT TOP(1)UL3.*
FROM ValidChecked1 AS UL3
WHERE
UL3.FK_CarID = List1.FK_CarID AND
UL3.KM_Date <= List1.KM_Date AND
List1.KM > UL3.KM
ORDER BY UL3.KM_Date DESC) ulprev
)
SELECT * FROM ValidChecked2 order by FK_CarID, KM_Date
Maybe something like this is what you are looking for?
;with data as
(
select *, rn = row_number() over (partition by fk_carid order by km_date)
from eMK_Mileage
)
select
d.FK_CarID, d.KM, d.KM_Date,
valid =
case
when (d.KM > d_prev.KM /* or d_prev.KM is null */)
and (d.KM < d_next.KM /* or d_next.KM is null */)
then 1 else 0
end
from data d
left join data d_prev on d.FK_CarID = d_prev.FK_CarID and d_prev.rn = d.rn - 1
left join data d_next on d.FK_CarID = d_next.FK_CarID and d_next.rn = d.rn + 1
order by d.FK_CarID, d.KM_Date
With SQL Server versions 2012+ you could have used the lag() and lead() analytical functions to access the previous/next rows, but in versions before you can accomplish the same thing by numbering rows within partitions of the set. There are other ways too, like using correlated subqueries.
I left a couple of conditions commented out that deal with the first and last rows for every car - maybe those should be considered valid is they fulfill only one part of the comparison (since the previous/next rows are null)?
Mssql < 2005
I have a complex database with lots of tables, but for now only the patient table and the measurements table matter.
What I need is the number of patient where the most recent value of 'code' matches a certain value. Also, datemeasurement has to be after '2012-04-01'. I have fixed this in two different ways:
SELECT
COUNT(P.patid)
FROM T_Patients P
WHERE P.patid IN (SELECT patid
FROM T_Measurements M WHERE (M.code ='xxxx' AND result= 'xx')
AND datemeasurement =
(SELECT MAX(datemeasurement) FROM T_Measurements
WHERE datemeasurement > '2012-01-04' AND patid = M.patid
GROUP BY patid
GROUP by patid)
AND:
SELECT
COUNT(P.patid)
FROM T_Patient P
WHERE 1 = (SELECT TOP 1 case when result = 'xx' then 1 else 0 end
FROM T_Measurements M
WHERE (M.code ='xxxx') AND datemeasurement > '2012-01-04' AND patid = P.patid
ORDER by datemeasurement DESC
)
This works just fine, but it makes the query incredibly slow because it has to join the outer table on the subquery (if you know what I mean). The query takes 10 seconds without the most recent check, and 3 minutes with the most recent check.
I'm pretty sure this can be done a lot more efficient, so please enlighten me if you will :).
I tried implementing HAVING datemeasurment=MAX(datemeasurement) but that keeps throwing errors at me.
So my approach would be to write a query just getting all the last patient results since 01-04-2012, and then filtering that for your codes and results. So something like
select
count(1)
from
T_Measurements M
inner join (
SELECT PATID, MAX(datemeasurement) as lastMeasuredDate from
T_Measurements M
where datemeasurement > '01-04-2012'
group by patID
) lastMeasurements
on lastMeasurements.lastmeasuredDate = M.datemeasurement
and lastMeasurements.PatID = M.PatID
where
M.Code = 'Xxxx' and M.result = 'XX'
The fastest way may be to use row_number():
SELECT COUNT(m.patid)
from (select m.*,
ROW_NUMBER() over (partition by patid order by datemeasurement desc) as seqnum
FROM T_Measurements m
where datemeasurement > '2012-01-04'
) m
where seqnum = 1 and code = 'XXX' and result = 'xx'
Row_number() enumerates the records for each patient, so the most recent gets a value of 1. The result is just a selection.