I have the script below setup in AWS Athena, the goal is to replace some budget numbers (total) with 0 if they are within a certain category (costitemid). I'm getting the following error in AWS Athena and could use some advice as to why it isn't working. Is the problem that I need to repeat everything in the FROM and GROUP BY in the WHEN and ELSE? Code below the error. Thank you!
SYNTAX_ERROR: line 6:9: 'projectbudgets.projectid' must be an aggregate expression or appear in GROUP BY clause
This query ran against the "acorn-prod-reports" database, unless qualified by the query. Please post the error message on our forum or contact customer support with Query Id: 077f007b-61a0-4f6b-aa1f-dd38bb401218
SELECT
CASE
WHEN projectbudgetlineitems.costitemid IN (462561,462562,462563,462564,462565,462566,478030) THEN (
SELECT
projectbudgets.projectid
, projectbudgetyears.year fiscalYear
, projectbudgetyears.status
, "sum"(((0 * projectbudgetlineitems.unitcost) * (projectbudgetlineitems.costshare * 1E-2))) total
)
ELSE (
SELECT
projectbudgets.projectid
, projectbudgetyears.year fiscalYear
, projectbudgetyears.status
, "sum"(((projectbudgetlineitems.quantity * projectbudgetlineitems.unitcost) * (projectbudgetlineitems.costshare * 1E-2))) total
)
END
FROM
(("acorn-prod-etl".target_acorn_prod_acorn_projectbudgets projectbudgets
INNER JOIN "acorn-prod-etl".target_acorn_prod_acorn_projectbudgetyears projectbudgetyears ON (projectbudgets.id = projectbudgetyears.projectbudgetid))
INNER JOIN "acorn-prod-etl".target_acorn_prod_acorn_projectbudgetlineitems projectbudgetlineitems ON (projectbudgetyears.id = projectbudgetlineitems.projectbudgetyearid))
--WHERE (((projectbudgetlineitems.costitemid <> 478030) AND (projectbudgetlineitems.costitemid < 462561)) OR (projectbudgetlineitems.costitemid > 462566))
GROUP BY projectbudgets.projectid, projectbudgetyears.year, projectbudgetyears.status
Your syntax is wrong (at least according to most SQL dialects.) You can't generally say "SELECT CASE WHEN (condition) THEN (this select clause) ELSE (that select clause) END FROM (tables)"
You can only use CASE to calculate a single value.
But it looks as if the only change between your two inner SELECT clauses is whether you use 0 or the quantity in the final multiplication. And that is perfect for a CASE!
I do not guarantee this will work right off the bat, because I don't have your setup or an idea of your table layout. However, it's a step in the right direction:
SELECT
projectbudgets.projectid
, projectbudgetyears.year fiscalYear
, projectbudgetyears.status
, "sum"(
((
CASE
WHEN projectbudgetlineitems.costitemid IN (462561,462562,462563,462564,462565,462566,478030)
THEN 0
ELSE projectbudgetlineitems.quantity
END * projectbudgetlineitems.unitcost
) * (
projectbudgetlineitems.costshare * 1E-2
))) total
FROM
(("acorn-prod-etl".target_acorn_prod_acorn_projectbudgets projectbudgets
INNER JOIN
"acorn-prod-etl".target_acorn_prod_acorn_projectbudgetyears projectbudgetyears
ON (projectbudgets.id = projectbudgetyears.projectbudgetid))
INNER JOIN "acorn-prod-etl".target_acorn_prod_acorn_projectbudgetlineitems projectbudgetlineitems
ON (projectbudgetyears.id = projectbudgetlineitems.projectbudgetyearid))
GROUP BY
projectbudgets.projectid, projectbudgetyears.year, projectbudgetyears.status
This could solve your problem if you want to sum the items for each project and year and status except for certain line items. Here, it is correct to use a "where" condition and not "case when" :
SELECT
projectbudgets.projectid,
projectbudgetyears.year,
projectbudgetyears.status,
"sum"(((projectbudgetlineitems.quantity * projectbudgetlineitems.unitcost) *
(projectbudgetlineitems.costshare * 1E-2))) total
FROM
(("acorn-prod-etl".target_acorn_prod_acorn_projectbudgets projectbudgets
INNER JOIN "acorn-prod-etl".target_acorn_prod_acorn_projectbudgetyears
projectbudgetyears ON (projectbudgets.id = projectbudgetyears.projectbudgetid))
INNER JOIN "acorn-prod-etl".target_acorn_prod_acorn_projectbudgetlineitems
projectbudgetlineitems ON (projectbudgetyears.id =
projectbudgetlineitems.projectbudgetyearid))
WHERE projectbudgetlineitems.costitemid NOT IN
(462561,462562,462563,462564,462565,462566,478030)
GROUP BY projectbudgets.projectid, projectbudgetyears.year,
projectbudgetyears.status
;
Related
I try to count the number of times a product is ordered two days in a row, over the last seven days.
I tried to implement an IN condition in a CASE WHEN, but I get the following error:
Comparison operator IN not valid
I'm using DB2
Here is what I've tried :
WITH CTE AS (
SELECT ALLPIC, COUNT(DISTINCT(PAL.CODPRO)) AS NBREFSSTOCKS
FROM FGE50NEUV1.GEPAL AS PAL INNER JOIN FGE50NEUV1.GEPIC AS PIC ON PAL.CODPRO = PIC.CODPRO
GROUP BY ALLPIC
),
CTE2 AS (
SELECT ALLSTS AS ALLPIC, COUNT(DISTINCT CASE WHEN DATPRB1 = ` + dateWMS() + ` THEN CODPRO END) AS NBREFSCDE,
COUNT(
DISTINCT CASE WHEN (
CODPRO IN (SELECT DISTINCT(CODPRO) FROM FGE50NEUV1.GESUPD WHERE DATPRB1 = 20221027)
AND CODPRO IN (SELECT DISTINCT(CODPRO) FROM FGE50NEUV1.GESUPD WHERE DATPRB1 = 20221028)
THEN CODPRO END
)
) AS NBCOMMUNVEILLE,
COUNT(
DISTINCT CASE WHEN (
CODPRO IN (SELECT DISTINCT(CODPRO) FROM FGE50NEUV1.GESUPD WHERE DATPRB1 = 20221026)
AND CODPRO IN (SELECT DISTINCT(CODPRO) FROM FGE50NEUV1.GESUPD WHERE DATPRB1 = 20221027)
THEN CODPRO END
)
) AS NBCOMMUNJM2
FROM FGE50NEUV1.GESUPD AS SUP
GROUP BY ALLSTS
)
SELECT * FROM CTE INNER JOIN CTE2 ON CTE.ALLPIC = CTE2.ALLPIC ORDER BY CTE.ALLPIC
Listing of SQL messages:
SQL0115
Message Text:
Comparison operator &1 not valid.
Cause Text:
Simple comparison operators other than equal and not equal cannot be
used with a list of items. ANY, ALL, and SOME comparison operators
must be followed by a fullselect, rather than an expression or a list
of items. Subqueries cannot be specified in a JOIN condition or in a
CASE expression.
Recovery Text:
Change either the comparison or the
operand. Try the request again.
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
I am working on a query that devide 2 columns, I tried CAST and CONVERT but still returns 0. Will apperciate your help
SELECT a.Disposition,a.[Disposition Reason Breakdown],a.CSP,b.Total FROM
(
SELECT a.[Disposition],a.[Disposition Reason Breakdown],a.[CSP] FROM
(
SELECT [Disposition],[Disposition Reason Breakdown],COUNT(*) as CSP FROM [dbo].[Disposition]
WHERE [Disposition] <> 'Interested'
GROUP BY [Disposition],[Disposition Reason Breakdown]
) a
)a
INNER JOIN
(
SELECT a.Disposition,SUM(a.CSP) as Total FROM
(
SELECT [Disposition],[Disposition Reason Breakdown],COUNT(*) as CSP FROM [dbo].[Disposition]
WHERE [Disposition] <> 'Interested'
GROUP BY [Disposition],[Disposition Reason Breakdown]
)a
GROUP BY a.Disposition
)b ON a.Disposition = b.Disposition
I am using sql
I solved it, it turns out that I just used the wrong data type which in my case is decimal I should've thought of REAL here is the final query a.CSP/CAST(b.Total as REAL)
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'm struggling here trying to write a script that finds where an order was returned multiple times by the same associate (count greater than 1). I'm guessing my syntax with the subquery is incorrect. When I run the script, I get a message back that the "SELECT failed.. [3669] More than one value was returned by the subquery."
I'm not tied to the subquery, and have tried using just the group by and having statements, but I get an error regarding a non-aggregate value. What's the best way to proceed here and how do I fix this?
Thank you in advance - code below:
SEL s.saletran
, s.saletran_dt SALE_DATE
, r.saletran_id RET_TRAN
, r.saletran_dt RET_DATE
, ra.user_id RET_ASSOC
FROM salestrans s
JOIN salestrans_refund r
ON r.orig_saletran_id = s.saletran_id
AND r.orig_saletran_dt = s.saletran_dt
AND r.orig_loc_id = s.loc_id
AND r.saletran_dt between s.saletran_dt and s.saletran_dt + 30
JOIN saletran rt
ON rt.saletran_id = r.saletran_id
AND rt.saletran_dt = r.saletran_dt
AND rt.loc_id = r.loc_id
JOIN assoc ra --Return Associate
ON ra.assoc_prty_id = rt.sls_assoc_prty_id
WHERE
(SELECT count(*)
FROM saletran_refund
GROUP BY ORIG_SLTRN_ID
) > 1
AND s.saletran_dt between '2015-01-01' and current_date - 1
Based on what you've got so far, I think you want to use this instead:
where r.ORIG_SLTRN_ID in
(select
ORIG_SLTRN_ID
from
saletran_refund
group by ORIG_SLTRN_ID
having count (*) > 1)
That will give you the ORIG_SLTRN_IDs that have more than one row.
you don't give enough for a full answer but this is a start
group by s.saletran
, s.saletran_dt SALE_DATE
, r.saletran_id RET_TRAN
, r.saletran_dt RET_DATE
, ra.user_id RET_ASSOC
having count(distinct(ORIG_SLTRN_ID)) > 0
this does return more the an one row
run it
SELECT count(*)
FROM saletran_refund
GROUP BY ORIG_SLTRN_ID