new to this (very new- and self teaching).....i have a query that draws from multiple tables on my computer system that gets all the appraised values and sales values from a subdivision. in my system, it runs the query fine. but when i try to convert it to run embedded in an excel sheet it gives me error saying no column name for 2 c and 3 c. when i put punctuation around the column names it says there is a syntax error with the alias "as c" at the bottom-- been awake too long--- what am i doing wrong ?:
select distinct pv.prop_id, ac.file_as_name,
'sale_type' , 'deed_date' , 'sale_date' , 'sale_type' , 'sale_price' ,
(pv.land_hstd_val + pv.land_non_hstd_val + pv.ag_market + pv.timber_market)as land_val,
(pv.imprv_hstd_val + pv.imprv_non_hstd_val)as imprv_val,
pv.market, pv.abs_subdv_cd
from property_val pv with (nolock)
inner join prop_supp_assoc psa with (nolock) on
pv.prop_id = psa.prop_id
and pv.prop_val_yr = psa.owner_tax_yr
and pv.sup_num = psa.sup_num
inner join property p with (nolock) on
pv.prop_id = p.prop_id
inner join owner o with (nolock) on
pv.prop_id = o.prop_id
and pv.prop_val_yr = o.owner_tax_yr
and pv.sup_num = o.sup_num
inner join account ac with (nolock) on
o.owner_id = ac.acct_id
left outer join
(select cop.prop_id,
convert(varchar(20), co.deed_dt, 101)as deed_date,
convert(varchar(20), s.sl_dt, 101)as sale_date,
s.sl_price as sale_price, s.sl_type_cd as sale_type
from chg_of_owner_prop_assoc cop with (nolock)
inner join chg_of_owner co with (nolock) on
co.chg_of_owner_id = cop.chg_of_owner_id
inner join sale s with (nolock) on
co.chg_of_owner_id = s.chg_of_owner_id
where cop.seq_num = 0) as c
on c.prop_id = pv.prop_id
where pv.prop_val_yr = 2016
and(pv.prop_inactive_dt is null or udi_parent ='t')
and pv.abs_subdv_cd in('s3579')
order by pv.abs_subdv_cd, pv.prop_id
Is it SQL Server? Try surrounding column names with square brackets instead of quotes.
Related
I have a very strange occurrence with my code.
I keep on getting the error
AnalysisException: Column 'homepage_url' does not exist
However, when I do a select with cross Joins the column does actually exist.
Can someone take a look at my cross joins and let me know if that is where the problem is
SELECT DISTINCT
account.xpd_relationshipstatus AS CRM_xpd_relationshipstatus
,REPLACE(owneridname,'Data.Import #','') AS MontaguOwner
,account.ts_montaguoffice AS Montagu_Office
,CAST(account.ts_reminderdatesetto AS DATE) AS CRM_ts_reminderdatesetto
,CAST(account.ts_lastdatestatuschanged AS DATE) AS YearofCRMtslastdatestatuschanged
,organizations.name AS nameCB
,organizations.homepage_url
,iff(e like 'www.%', e, 'www.' + e) AS website
,left(category_list,charindex(',',category_list +',' )-1) AS category_CB
-- ,case when charindex(',',category_list,0) > 0 then left(category_list,charindex(',',category_list)-1) else category_list end as category_CB
,organizations.category_groups_list AS category_groups_CB
FROM basecrmcbreport.account
LEFT OUTER JOIN basecrmcbreport.CRM2CBURL_Lookup
ON account.Id = CRM2CBURL_Lookup.Key
LEFT OUTER JOIN basecrmcbreport.organizations
ON CRM2CBURL_Lookup.CB_URL_KEY = organizations.cb_url
cross Join (values (charindex('://', homepage_url))) a(a)
cross Join (values (iff(a = 0, 1, a + 3))) b(b)
cross Join (values (charindex('/', homepage_url, b))) c(c)
cross Join (values (iff(c = 0, length(homepage_url) + 1, c))) d(d)
cross Join (values (substring(homepage_url, b, d - b))) e(e)
Without the cross Joins
The main reason for cross join (or any join) to recognize the column when you select not when using table valued functions is that joins are used on tables only.
To use table valued functions, one must use cross apply or outer apply. But these are not supported in Databricks sql.
The following is the demo data I am using:
I tried using inner join on a table valued function using the following query and got the same error:
select d1.*,a from demo1 inner join (values(if(d1.team = 'OG',2,1))) a;
Instead, using the select query, the joins work as that is how they function:
select d1.*,a.no_of_wins from demo1 d1 inner join (select id,case team when 'OG' then 2 when 'TS' then 1 end as no_of_wins from demo1) a on d1.id=a.id;
So, the remedy for this problem is to replace all the table valued functions on which you are using joins with SELECT statements.
I want to write this raw query using the TypeORM createQueryBuilder. How can I achieve this?
SELECT *
FROM Location l
INNER JOIN LocationType t ON l.TypeId = t.Id
LEFT JOIN Location p ON l.ParentId = p.Id
LEFT JOIN (SELECT locationId, SUM(Units) TotalUnits FROM ItemInventory GROUP BY LocationId) qty ON l.Id = qty.LocationId`
The following works and results in the output shown in the image below.
SELECT
SU_Internal_ID,
NQ_QuestionText,
NA_AnswerText,
NoOfTimesChoosen
FROM
(SELECT
U.SU_Internal_ID,
NQ.NQ_QuestionText,
NA.NA_AnswerText,
COUNT(PC.UserID) AS NoOfTimesChoosen
FROM [dbo].[ParticipantNSChoices] PC
INNER JOIN [dbo].[KnowledgeSurveyAnswers] NA
on PC.NA_Internal_ID = NA.NA_Internal_ID
INNER JOIN [dbo].[KnowledgeSurveyQuestions] NQ
on PC.NQ_Internal_ID = NQ.NQ_Internal_ID
INNER JOIN [dbo].[AspNetUsers] U
on PC.UserID = U.Id
WHERE
U.SU_Internal_ID=1
and NQ.NQ_QuestionText LIKE '%Do you feel comfortable working with computers%'
GROUP
BY U.SU_Internal_ID,
NQ.NQ_QuestionText,
NA.NA_AnswerText ) as A
I want to add a column to show the percent for the two answers 'No' and 'Yes': so next to 'No' I want '20' and next to 'Yes' '80', but I'm pretty new at this and am stuck; I would appreciate any help. Thanks.
Result of working script
You don't need the outer SELECT.
SELECT
U.SU_Internal_ID,
NQ.NQ_QuestionText,
NA.NA_AnswerText,
COUNT(PC.UserID) AS NoOfTimesChoosen,
(cast(COUNT(PC.UserID) as float) /
cast(
(select count(*) from [dbo].[ParticipantNSChoices] PC2
INNER JOIN [dbo].[KnowledgeSurveyAnswers] NA2 on PC2.NA_Internal_ID = NA2.NA_Internal_ID
INNER JOIN [dbo].[KnowledgeSurveyQuestions] NQ2 on PC2.NQ_Internal_ID = NQ2.NQ_Internal_ID
INNER JOIN [dbo].[AspNetUsers] U2 on PC2.UserID = U2.Id
WHERE
U2.SU_Internal_ID=1
and NQ2.NQ_QuestionText LIKE '%Do you feel comfortable working with computers%' )
as float))
* 100 as PercentChosen
FROM [dbo].[ParticipantNSChoices] PC
INNER JOIN [dbo].[KnowledgeSurveyAnswers] NA
on PC.NA_Internal_ID = NA.NA_Internal_ID
INNER JOIN [dbo].[KnowledgeSurveyQuestions] NQ
on PC.NQ_Internal_ID = NQ.NQ_Internal_ID
INNER JOIN [dbo].[AspNetUsers] U
on PC.UserID = U.Id
WHERE
U.SU_Internal_ID=1
and NQ.NQ_QuestionText LIKE '%Do you feel comfortable working with computers%'
GROUP
BY U.SU_Internal_ID,
NQ.NQ_QuestionText,
NA.NA_AnswerText
The counts will be integers, so you need to cast as floats before dividing. You can then further format to your liking. Also, I might not have your exact denominator, because I don't know what your data looks like, but you can modify to match what you need.
I want to get the list of all Branch even if they have no accounts with user role
Query query = em.createQuery("SELECT NEW com.package.BranchInstructors(b,a) FROM Branch b LEFT JOIN b.accounts a WHERE b.dFlg = 0 AND a.userRole = :role ORDER BY b.name ASC");
query.setParameter("role", "user");
return query.getResultList();
Unfortunately it's returning only Branches with user role, it's like doing INNER JOIN instead.
Any idea what's going on?
just add the a.userRole is null condition to your query to avoid filtering the null userRole that you got from the left join
SELECT NEW com.package.BranchInstructors(b,a)
FROM Branch b
LEFT JOIN b.accounts a
WHERE b.dFlg = 0
AND (a.userRole = :role OR a.userRole IS NULL)
ORDER BY b.name ASC"
The problem is in your WHERE vs LEFT JOIN clause.
If you use LEFT JOIN table Accounts and use this table in the WHERE with AND condition, it behaves like a JOIN.
So, you can use WITH in the LEFT JOIN:
Query query = em.createQuery("SELECT NEW com.package.BranchInstructors(b,a) FROM Branch b
LEFT JOIN b.accounts a WITH a.userRole = :role
WHERE b.dFlg = 0 ORDER BY b.name ASC");
for an author overview we are looking for a query which will show all the authors including their best book. The problem with this query is that it lacks speed. There are only about 1500 authors and the query do generate the overview is currently taking 20 seconds.
The main problem seems te be generating the average rating of all the books per person.
By selecting the following query, it is still rather fast
select
person.id as pers_id,
person.firstname,
person.suffix,
person.lastname,
thriller.title,
year(thriller.orig_pubdate) as year,
thriller.id as thrill_id,
count(user_rating.id) as nr,
AVG(user_rating.rating) as avgrating
from
thriller
inner join
thriller_form
on thriller_form.thriller_id = thriller.id
inner join
thriller_person
on thriller_person.thriller_id = thriller.id
and thriller_person.person_type_id = 1
inner join
person
on person.id = thriller_person.person_id
left outer join
user_rating
on user_rating.thriller_id = thriller.id
and user_rating.rating_type_id = 1
where thriller.id in
(select top 1 B.id from thriller as B
inner join thriller_person as C on B.id=C.thriller_id
and person.id=C.person_id)
group by
person.firstname,
person.suffix,
person.lastname,
thriller.title,
year(thriller.orig_pubdate),
thriller.id,
person.id
order by
person.lastname
However, if we make the subquery a little more complex by selecting the book with the average rating it takes a full 20 seconds to generate a resultset.
The query would then be as follows:
select
person.id as pers_id,
person.firstname,
person.suffix,
person.lastname,
thriller.title,
year(thriller.orig_pubdate) as year,
thriller.id as thrill_id,
count(user_rating.id) as nr,
AVG(user_rating.rating) as avgrating
from
thriller
inner join
thriller_form
on thriller_form.thriller_id = thriller.id
inner join
thriller_person
on thriller_person.thriller_id = thriller.id
and thriller_person.person_type_id = 1
inner join
person
on person.id = thriller_person.person_id
left outer join
user_rating
on user_rating.thriller_id = thriller.id
and user_rating.rating_type_id = 1
where thriller.id in
(select top 1 B.id from thriller as B
inner join thriller_person as C on B.id=C.thriller_id
and person.id=C.person_id
inner join user_rating as D on B.id=D.thriller_id
group by B.id
order by AVG(D.rating))
group by
person.firstname,
person.suffix,
person.lastname,
thriller.title,
year(thriller.orig_pubdate),
thriller.id,
person.id
order by
person.lastname
Anyone got a good suggestion to speed up this query?
Calculating an average requires a table scan since you've got to sum the values and then divide by the number of (relevant) rows. This in turn means that you're doing a lot of rescanning; that's slow. Can you calculate the averages once and store them? That would let your query use those pre-computed values. (Yes, it denormalizes the data, but denormalizing for performance is often necessary; there's a trade-off between performance and minimal data.)
It might be appropriate to use a temporary table as the store of the averages.