I have the following code:
select distinct m.property_id,
m.property_size,
count(f.request_id) WOs,
round(cast(m.[property_size] as float(10)) / cast((f.[request_id] * 1000) as float(5)),2) as PER_1k_SQFT
from T1 m, T2 f
where m.property_id = f.property_id
and datepart(year,request_date) = '2015'
and datepart(month, f.request_date) = '12'
group by m.property_id, m.property_size, round(cast(m.[property_size] as float(10)) / cast((f.[request_id] * 1000) as float(5)),2)
order by count(f.request_id) desc
My last column, PER_SQ_Ft is all zeros. Why isn't it populating the result of the calculation?
Related
I am trying to create a query where the first column shows the list of the companies and the other 3 columns their revenues per month. This is what I do:
WITH time_frame AS
(SELECT date_trunc('month',NOW())-interval '0 week'),
time_frame1 AS
(SELECT date_trunc('month',NOW())-interval '1 month'),
time_frame2 AS
(SELECT date_trunc('month',NOW())-interval '2 month')
select table1.company_name,
(CASE
WHEN table2.date_of_transaction = (SELECT * FROM time_frame2) THEN sum(table2.amount)
ELSE NULL
END) AS "current week - 2",
(CASE
WHEN table2.date_of_transaction = (SELECT * FROM time_frame1) THEN sum(table2.amount)
ELSE NULL
END) AS "current week - 1",
(CASE
WHEN table2.date_of_transaction = (SELECT * FROM time_frame2) THEN
sum(table2.amount)
ELSE NULL
END) AS "current week - 2"
from table1
join table2 on table2.table1_id = table.id
where table1.company_joined >= '04-20-2019'
group by 1
When I execute the table this comes out: Error running query: column "table2.date_of_transaction" must appear in the GROUP BY clause or be used in an aggregate function LINE 15: WHEN table2.date_of_transaction = (SELECT * FROM time_frame) TH... ^
Do you have any ideas on how to solve it? Thank you.
company name
month1
month2
name 1
£233
£343
name 2
£243
£34
name 3
£133
£43
you can simplify the statement by using the filter() operator
select t1.company_name,
sum(t2.amount) filter (where t2.date_of_transaction = date_trunc('month',NOW())-interval '2 month'),
sum(t2.amount) filter (where t2.date_of_transaction = date_trunc('month',NOW())-interval '1 month'),
sum(t2.amount) filter (where t2.date_of_transaction = date_trunc('month',NOW()))
from table1 t1
join table2 t2 on t2.table1_id = t1.id
where t1.company_joined >= date '2019-04-20'
group by t1.company_name;
If you really want to put the date ranges into a CTE, you only need one:
with dates (r1, r2, r3) as (
values
(date_trunc('month',NOW())-interval '2 month',
date_trunc('month',NOW())-interval '1 month',
date_trunc('month',NOW()))
)
select t1.company_name,
sum(t2.amount) filter (where t2.date_of_transaction = d.r1),
sum(t2.amount) filter (where t2.date_of_transaction = d.r2),
sum(t2.amount) filter (where t2.date_of_transaction = d.r3)
from table1 t1
cross join dates d
join table2 t2 on t2.table1_id = t1.id
where t1.company_joined >= date '2019-04-20'
group by t1.company_name
;
The CTE dates returns a single row with three columns and thus the cross join doesn't change the resulting number of rows.
I have a table table1. with columns sn, rt and type
I want to get rows with different rt (i.e rt = 1,2,3) column conditions
(SELECT *
FROM table1
WHERE sn = 'testing' AND rt = 1 AND type = 'pump'
ORDER BY id DESC
LIMIT 1)
UNION
(SELECT *
FROM table1
WHERE sn = 'testing' AND rt = 2 AND type = 'pump'
ORDER BY id DESC
LIMIT 1)
UNION
(SELECT *
FROM table1
WHERE sn = 'testing' AND rt = 3 AND type = 'pump'
ORDER BY id DESC
LIMIT 1)
Currently i am trying the above.
Which is the effective way to get the rows
Use ROW_NUMBER() window function:
SELECT t.*
FROM (
SELECT *, ROW_NUMBER() OVER (PARTITION BY rt ORDER BY id DESC) rn
FROM table1
WHERE sn = 'testing' AND type = 'pump' AND rt IN (1, 2, 3)
) t
WHERE t.rn = 1
You can omit AND rt IN (1, 2, 3) if 1, 2 and 3 are the only possible values for rt.
You'll want to do JOINs between the table and itself, then specify the conditions in the singular WHERE clause. I've done a rough sketch of it below:
SELECT t1.*, t2.*, t3.*
FROM table1 AS t1
JOIN table1 AS t2
ON t1.sn = t2.sn AND t1.type = t2.type -- If you've got more reasonable connections between your datapoints, use them here
JOIN table1 AS t3
ON t.sn = t3.sn AND t1.type = t3.type
WHERE t1.rt = 1 AND t2.rt = 2 AND t3.rt = 3
ORDER BY t1.id DESC
LIMIT 1
Depending on what other requirements you have, you may have to tweak some parts of that. If you want results when t1 has a value but t2 or t3 doesn't you can use a LEFT JOIN instead.
The following is my query. I need to get the count of the doctor's visits for each patient in the query. The count isn't right and it's printing 2 rows for each patient.
SELECT
pf.PatientId
, p.Visit
, pf.first
, pf.last
, df.first
, df.last
, doc.reconcile_status
, doc.orderid
, count(p.visit)
FROM [CentricityPS].[dbo].[PatientVisit] p
, [CentricityPS].[dbo].[document] doc
, [CentricityPS].[dbo].[Patientprofile] pf
, [CentricityPS].[dbo].[doctorfacility] df
where df.pvid in ('1507023132004420', '1725527248154950', '1406648461000690')
and p.doctorid = df.DoctorFacilityId
and p.patientprofileid = pf.patientprofileid
and pf.pid = doc.pid
and pf.patientstatusmid = '-900'
and pf.PatientProfileId = p.PatientProfileId
-- and pf.PatientId = '8145'
-- and p.visit >= '2016-01-01' and p.visit <= '2016-07-01'
and not exists (select * from [CentricityPS].[dbo].[PatientVisit] p
where (p.visit > '2013-01-01' and p.visit < = '2016-01-01')
and p.patientprofileid = pf.patientprofileid and pf.patientstatusmid not in (-901) )
and not exists (select * from [CentricityPS].[dbo].[PatientVisit] p
where p.visit <= '2013-01-01'
and p.patientprofileid = pf.patientprofileid and pf.patientstatusmid not in (-901) )
-- and pf.patientid = '100293'
group by df.DoctorFacilityId, pf.PatientId, p.visit, pf.first, pf.last, df.first, df.last, doc.RECONCILE_STATUS, doc.ORDERID, p.PatientProfileId
order by df.doctorfacilityid, pf.patientid, p.visit desc
What am I doing wrong?
Help!!!
You're grouping on too many fields. If you just need the count of doctor's visits for each patient, only SELECT PatientProfile fields along with count(p.visit) and just include the same PatientProfile fields in the GROUP BY.
SELECT DISTINCT "Users"."id" , "Users".name,
"Users"."surname", "Users"."gender",
"Users"."dob", "Searches"."start_date"
FROM "Users"
LEFT JOIN "Searches" ON "Users"."id" = "Searches"."user_id"
WHERE (SQRT( POW(69.1 * ("Users"."latitude" - 45.465454), 2) + POW(69.1 * (9.186515999999983 - "Users"."longitude") * COS("Users"."latitude" / 57.3), 2))) < 20
AND "Users"."status" = true
AND "Users"."id" != 18
AND "Searches"."activity" = \'clubbing\'
AND "Users"."gender" = \'m\'
AND "Users"."age" BETWEEN 18 AND 30
ORDER BY ABS( "Searches"."start_date" - date \'2016-07-07\' )
For some reasons the above query returns the following error:
for SELECT DISTINCT, ORDER BY expressions must appear in select list
I only want to return unique users but I really don't know what's wrong with it.
Thanks for your help
Just doing what the error message says I would include the expression ABS( "Searches"."start_date" - date '2016-07-07' ) in the SELECT list. No need to change your query logic.
absdiffdate can be discarded later when processing the result.
SELECT DISTINCT "Users"."id" , "Users".name,
"Users"."surname", "Users"."gender",
"Users"."dob", "Searches"."start_date",
ABS( "Searches"."start_date" - date '2016-07-07' ) absdiffdate
FROM "Users"
LEFT JOIN "Searches" ON "Users"."id" = "Searches"."user_id"
WHERE (SQRT( POW(69.1 * ("Users"."latitude" - 45.465454), 2) + POW(69.1 * (9.186515999999983 - "Users"."longitude") * COS("Users"."latitude" / 57.3), 2))) < 20
AND "Users"."status" = true
AND "Users"."id" != 18
AND "Searches"."activity" = 'clubbing'
AND "Users"."gender" = 'm'
AND "Users"."age" BETWEEN 18 AND 30
ORDER BY ABS( "Searches"."start_date" - date '2016-07-07' )
Will this new column results in possibly more records when DISTINCT is applied?
I don't think so because you are subtracting a constant from start_date and for similar start_date corresponds similar outcome.
In Postgres, you can use DISTINCT ON to get one row per user id:
SELECT DISTINCT ON (u."id") u."id", u.name, u."surname", u."gender", u."dob", s."start_date"
FROM "Users" u LEFT JOIN
"Searches" s
ON u."id" = s."user_id"
WHERE (SQRT( POW(69.1 * (u."latitude" - 45.465454), 2) + POW(69.1 * (9.186515999999983 - u."longitude") * COS(u."latitude" / 57.3), 2))) < 20 AND
u."status" = true AND
u."id" != 18 AND "Searches"."activity" = \'clubbing\' AND
u."gender" = \'m\' AND
u."age" BETWEEN 18 AND 30
ORDER BY users.id, ABS(s."start_date" - date \'2016-07-07\' );
Notice how table aliases make the query easier to write and to read.
I have t-sql as follows:
SELECT (COUNT(Intakes.fk_ClientID) * 100) / (
SELECT count(*)
FROM INTAKES
WHERE Intakes.AdmissionDate >= #StartDate
)
FROM Intakes
WHERE Intakes.fk_ReleasedFromID = '1'
AND Intakes.AdmissionDate >= #StartDate;
I'm trying to get the percentage of clients who have releasedfromID = 1 out of a subset of clients who have a certain range of admission dates. But I get rows of 1's and 0's instead. Now, I can get the percentage if I take out the where clauses, it works:
SELECT (COUNT(Intakes.fk_ClientID) * 100) / (
SELECT count(*)
FROM INTAKES
)
FROM Intakes
WHERE Intakes.fk_ReleasedFromID = '1';
works fine. It selects ClientIDs where ReleasedFromID =1, multiplies it by 100 and divides by total rows in Intakes. But how do you run percentage with WHERE clauses as above?
After reading comment from #Anssssss
SELECT (COUNT(Intakes.fk_ClientID) * 100.0) / (
SELECT count(*)
FROM INTAKES
) 'percentage'
FROM Intakes
WHERE Intakes.fk_ReleasedFromID = '1';