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
Related
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
Im making a betting system app. I need to count the points of a user based on his bets, knowing that some of the bets can be 'combined', which makes the calcul a bit more complex than a simple addition.
So if i have 3 bets: {points: 3, combined: false}, {points: 5, combined: true}, {points: 10, combined: true}, there are two bets combined here, so the total points should be 3 + (5 * 2) + (10 * 2). Reality is a bit more complex since the points are not directly in the bet object but in the match it refers to
Here is a part of my query. As you can see, i first check if the bet is right based on the match result, in that case if the bet is combined I multiply it by the value of combinedLength, else i'll just sum the value of that bet. I tried to replicate the COUNTIF inside the CASE, which gaves me an error like 'cannot aggregation inside aggregation'.
SELECT
JSON_EXTRACT_SCALAR(data, '$.userId') AS userId,
COUNTIF(JSON_EXTRACT_SCALAR(data, '$.combined') = 'true') AS combinedLength,
SUM (
(
CASE WHEN JSON_EXTRACT_SCALAR(data, '$.value') = match.result
THEN IF(JSON_EXTRACT_SCALAR(data, '$.combined') = "true", match.odd * combinedLength, match.odd)
ELSE 0
END
)
) AS totalScore,
FROM data.user_bets_raw_latest
INNER JOIN matchLines ON matchLines.match.matchId = JSON_EXTRACT(data, '$.fixtureId')
GROUP BY userId
I've been looking for days... thanks so much for the help !
If I follow you correctly, then you need to count the total number of combined bets per user in a subquery, using a window function. Then, you can use this information while aggregating.
Consider:
select
user_id,
sum(case when combined = 'true' then odd * cnt_combined else odd end) total_score
from (
select
u.*,
m.match.odd,
countif(b.combined = 'true') over(partition by userid) as cnt_combined,
from (
select
json_extract_scalar(data, '$.userid') userid,
json_extract_scalar(data, '$.combined') combined,
json_extract_scalar(data, '$.value') value,
json_extract_scalar(data, '$.fixtureid') fixtureid
from data.user_bets_raw_latest
) b
left join matchlines m
on m.match.matchid = b.fixtureid
and m.match.result = b.value
) t
group by userid
I find that it is simpler to use a left join and put the condition on the match result in there.
I moved the json extractions to a subquery to reduce the length of the query.
I have the following code which selects value from table2 when 'some string' occurs more than once in 1990
SELECT a.value, COUNT(*) AS test
FROM table1 c
JOIN table2 a
ON c.value2 = a.value_2
JOIN table3 o
ON c.value3 = o.value_3
AND o.value4 = 1990
WHERE c.string = 'Some string'
GROUP BY a.value
HAVING COUNT(*) > 1
This works fine but I am attempting to write a query that produces a similar result without using aggregation. I just need to select values with more then 1 c.string and select those rather than counting and selecting the count as well. I thought about searching for pairs of 'some string' occurring in 1990 for a value but am unsure of how to execute this. Pointing me in the right direction would be appreciated! Struggling to find any documentation referencing this. Thank you!
Use window function ROW_NUMBER() to assign a sequence number within the rows of each table2.value. And use window function FIRST_VALUE() to get the largest row number for each table2.value. Use DISTINCT to remove the duplicates:
select distinct value, first_value(rn) over ( order by rn desc) as count
from
(
SELECT a.value , row_number() over (partition by a.value order by null) rn
FROM table1 c
JOIN table2 a
ON c.value2 = a.value_2
JOIN table3 o
ON c.value3 = o.value_3
AND o.value4 = 1990
WHERE c.string = 'Some string' ) t
where rn > 1;
To check for duplicates, you can use 'WHERE EXISTS', as a starting point. You could start by reading this:
https://www.w3schools.com/sql/sql_exists.asp
This will give you quite a long, cumbersome piece of code compared to using aggregation. But I expect that's the point of the task - to show how useful aggregation is.
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)?
i am using Microsoft SQL Server 2008
i would like to save the result of a subquery to reuse it in a following subquery.
Is this possible?
What is best practice to do this? (I am very new to SQL)
My query looks like:
INSERT INTO [dbo].[TestTable]
(
[a]
,[b]
)
SELECT
(
SELECT TOP 1 MAT_WS_ID
FROM #TempTableX AS X_ALIAS
WHERE OUTERBASETABLE.LT_ALL_MATERIAL = X_ALIAS.MAT_RM_NAME
)
,(
SELECT TOP 1 MAT_WS_NAME
FROM #TempTableY AS Y_ALIAS
WHERE Y_ALIAS.MAT_WS_ID = MAT_WS_ID
--(
--SELECT TOP 1 MAT_WS_ID
--FROM #TempTableX AS X_ALIAS
--WHERE OUTERBASETABLE.LT_ALL_MATERIAL = X_ALIAS.MAT_RM_NAME
--)
)
FROM [dbo].[LASERTECHNO] AS OUTERBASETABLE
My question is:
Is this correct what i did.
I replaced the second SELECT Statement in the WHERE-Clause for [b] (which is commented out and exactly the same as for [a]), with the result of the first SELECT Statement of [a] (=MAT_WS_ID).
It seems to give the right results.
But i dont understand why!
I mean MAT_WS_ID is part of both temporary tables X_ALIAS and Y_ALIAS.
So in the SELECT statement for [b], in the scope of the [b]-select-query, MAT_WS_ID could only be known from the Y_ALIAS table. (Or am i wrong, i am more a C++, maybe the scope things in SQL and C++ are totally different)
I just wannt to know what is the best way in SQL Server to reuse an scalar select result.
Or should i just dont care and copy the select for every column and the sql server optimizes it by its own?
One approach would be outer apply:
SELECT mat.MAT_WS_ID
, (
SELECT TOP 1 MAT_WS_NAME
FROM #TempTableY AS Y_ALIAS
WHERE Y_ALIAS.MAT_WS_ID = mat.MAT_WS_ID
)
FROM [dbo].[LASERTECHNO] AS OUTERBASETABLE
OUTER APPLY
(
SELECT TOP 1 MAT_WS_ID
FROM #TempTableX AS X_ALIAS
WHERE OUTERBASETABLE.LT_ALL_MATERIAL = X_ALIAS.MAT_RM_NAME
) as mat
You could rank rows in #TempTableX and #TempTableY partitioning them by MAT_RM_NAME in the former and by MAT_WS_ID in the latter, then use normal joins with filtering by rownum = 1 in both tables (rownum being the column containing the ranking numbers in each of the two tables):
WITH x_ranked AS (
SELECT
*,
rownum = ROW_NUMBER() OVER (PARTITION BY MAT_RM_NAME ORDER BY (SELECT 1))
FROM #TempTableX
),
y_ranked AS (
SELECT
*,
rownum = ROW_NUMBER() OVER (PARTITION BY MAT_WS_ID ORDER BY (SELECT 1))
FROM #TempTableY
)
INSERT INTO dbo.TestTable (a, b)
SELECT
x.MAT_WS_ID,
y.MAT_WS_NAME
FROM dbo.LASERTECHNO t
LEFT JOIN x_ranked x ON t.LT_ALL_MATERIAL = x.MAT_RM_NAME AND x.rownum = 1
LEFT JOIN y_ranked y ON x.MAT_WS_ID = y.MAT_WS_ID AND y.rownum = 1
;
The ORDER BY (SELECT 1) bit is a trick to specify an indeterminate ordering, which, accordingly, would result in indeterminate rownum = 1 rows picked by the query. That is to more or less duplicate your TOP 1 without an explicit order, but I would recommend you to specify a more sensible ORDER BY clause to make the results more predictable.