How to fi this error
Err] ERROR: aggregate functions are not allowed in WHERE
this my query
select count(case daftar.daftar when 'sd' then 1 else null end) as sd,
count(case daftar.daftar when 'smp' then 1 else null end) as smp,
count(case daftar.daftar when 'sma' then 1 else null end) as sma
from daftar
join gelombang on daftar.gel=gelombang.id
join ajaran on ajaran.id=gelombang.id_ajar
join tahun on tahun.id=ajaran.tahun
where daftar.status='terima' and daftar.pindahan='no' and tahun.id= max(tahun.id)
You can use "HAVING" to tackle this:
HAVING tahun.id= max(tahun.id)
select count(case daftar.daftar when 'sd' then 1 else null end) as sd,
count(case daftar.daftar when 'smp' then 1 else null end) as smp,
count(case daftar.daftar when 'sma' then 1 else null end) as sma
from daftar
join gelombang on daftar.gel=gelombang.id
join ajaran on ajaran.id=gelombang.id_ajar
join tahun on tahun.id=ajaran.tahun
where daftar.status='terima' and daftar.pindahan='no'
HAVING tahun.id= max(tahun.id)
One option is to use a subquery to calculate that max value:
select count(case daftar.daftar when 'sd' then 1 else null end) as sd,
count(case daftar.daftar when 'smp' then 1 else null end) as smp,
count(case daftar.daftar when 'sma' then 1 else null end) as sma
from daftar
inner join gelombang
on daftar.gel = gelombang.id
inner join ajaran
on ajaran.id = gelombang.id_ajar
inner join tahun
on tahun.id = ajaran.tahun
where daftar.status = 'terima' and
daftar.pindahan = 'no' and
tahun.id = (select max(id) from tahun)
Aggregates functions we use only in SELECT block. You can use inner select for this case:where daftar.status='terima' and daftar.pindahan='no' and tahun.id=(select max(id) from tahun)
use a subquery, group by or having clause
Related
select product_name ,0 price1,0 price2,0 price3,
(CASE when sum(price)>100 then 1 else 0 end) as price4,0 price5
from sales_1
group by product_name,price
union
select product_name ,0 price1,0 price2,0 price3, 0 price4,
(CASE when sum(price)<100 then 'yes' else 'no' end) as price5
from sales_1
group by product_name,price
I want values which are less then 100 to turn into 'no' and others to 'yes' but it is throwing an error which is'UNION types integer and text cannot be matched' .i have tried different type of casting to solve it but it didn't. and i am doing it in postgresql
This is the code which got me to my required result:
SELECT product_name,
0 price1, 0 price2, 0 price3,
(CASE WHEN SUM(price)>100 THEN 'yes' ELSE 'no' END) AS price4,
'' price5
FROM sales_1
GROUP BY product_name,price
UNION ALL
SELECT product_name,
0 price1, 0 price2, 0 price3, '' price4,
(CASE WHEN SUM(price)<100 THEN 'yes' ELSE 'no' END) AS price5
FROM sales_1
GROUP BY product_name, price
And this is the result I got from upper query:
I have a pyspark code running in an AWS glue job. I have some temporary tables created from dataframes in the same code using the function createOrReplaceTempView().
I am running a multiline SQL query within the code to fetch data from these temporary tables and store in a dataframe. However, I am getting ParseError Exception. The same query runs absolutely fine in a SQL client. Below is the query. Can someone please help? Unfortunately I don't get any error message other than the text "ParseError Exception"
def getSCMCaseHistLanding(self):
landingDF = self.spark.sql("""SELECT aud.case_id,
r.name AS role_name,
cas.account_id,
cas.created_time AS case_created_time,
cas.last_updated_time,
cas.screening_decision,
aud.created_time AS record_created_time,
aud.username,
row_number() OVER (PARTITION BY aud.case_id ORDER BY date_trunc('minute', aud.created_time) + date_part('second', aud.created_time)::INT / 10 * INTERVAL '10 sec') rank,
max(CASE WHEN field = 'status_id' THEN aud.value ELSE NULL END) AS d_status,
max(CASE WHEN field = 'status_id' THEN SPLIT_PART(SPLIT_PART(aud.description, 'from ', 2), ' to', 1) ELSE NULL END) AS src_status,
max(CASE WHEN lower(field) = 'annotation' THEN [value] ELSE NULL END) AS annotation,
max(CASE WHEN lower(field) = 'reason_id' THEN [value] ELSE NULL END) AS reason,
max(CASE WHEN lower(field) = 'approver_id' THEN [value] ELSE NULL END) AS approver,
r.team_name AS approver_source,
max(CASE WHEN lower(field) = 'decision_id' THEN [value] ELSE NULL END) AS decision,
max(CASE WHEN field = 'status_id' THEN aud.created_time ELSE NULL END) AS lsd,
last_value(lsd IGNORE NULLS) OVER (PARTITION BY aud.case_id ORDER BY record_created_time ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS last_status_changed_date,
max(CASE WHEN aud.field = 'assigned_to' THEN REVERSE(SPLIT_PART(REVERSE(aud.value), ' ', 1)) ELSE NULL END) AS assigned_to_t,
last_value(assigned_to_t IGNORE NULLS)
OVER (PARTITION BY aud.case_id ORDER BY record_created_time ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS assigned_to,
max(CASE WHEN aud.field = 'assigned_to' THEN aud.username ELSE NULL END) AS assigned_by,
max(CASE
WHEN (aud.field = 'assigned_to' AND aud.description LIKE 'Workbasket%') OR
(aud.field = 'assigned_to' AND aud.description LIKE '%by%') THEN 'Auto Assign'
WHEN aud.field = 'assigned_to' AND aud.description LIKE '%themself%' THEN 'Get Next'
END) AS assignment_method,
max(
CASE WHEN aud.field = 'assigned_to' THEN aud.description ELSE NULL END) AS assignment_detail,
max(CASE WHEN lower(field) = 'state_id' THEN [value] ELSE NULL END) AS ll_state,
last_value(d_status IGNORE NULLS)
OVER (PARTITION BY aud.case_id ORDER BY record_created_time ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS dest_status,
last_value(ll_state IGNORE NULLS)
OVER (PARTITION BY aud.case_id ORDER BY record_created_time ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS l_state,
CASE WHEN l_state IS NULL THEN 'Open' ELSE l_state END AS state,
max(CASE WHEN lower(field) = 'responsive_action_id' THEN [value] ELSE NULL END) AS responsive_action,
max(CASE WHEN type_name = 'Language' THEN skill.skill_name ELSE NULL END) AS language_skill,
max(
CASE WHEN type_name = 'Business' THEN skill.skill_name ELSE NULL END) AS business_skill,
max(CASE
WHEN lower(field) = 'annotation' AND lower(value) LIKE 'f+ applied by jarvis%' THEN 'jarvis'
WHEN lower(field) = 'annotation' AND (lower(value) LIKE '%bulk action%'
OR lower(value) LIKE '%moving cases to invalid data%') THEN 'bulk action'
WHEN lower(field) = 'annotation' AND lower(value) LIKE '%t+ decision recommended by scr model%'
THEN 'SCR T+ Model'
WHEN lower(field) = 'annotation' AND lower(value) LIKE '%f+ applied by scr model%'
THEN 'SCR F+ Model'
ELSE NULL END) AS source_of_action,
max(CASE
WHEN lower(field) = 'annotation' AND lower(value) LIKE '%duplicate case%' THEN 'Y'
ELSE 'N' END) AS duplicate_case,
max(CASE
WHEN field = 'state_id' AND aud.description = 'Case reopened' THEN
date_trunc('minute', aud.created_time) +
date_part('second', aud.created_time)::INT / 10 * INTERVAL '10 sec'
ELSE NULL END) AS case_reopened_time,
max(0) AS active_record_flag
FROM cm_spectre_case_audit aud
JOIN cm_spectre_case cas
ON cas.case_id = aud.case_id
LEFT JOIN v_cm_user_snapshot u ON
CASE
WHEN aud.field = 'assigned_to' THEN REVERSE(SPLIT_PART(REVERSE(aud.value), ' ', 1))
ELSE aud.username
END = u.alias AND aud.created_time BETWEEN u.start_time AND u.end_time
LEFT JOIN cm_role r ON u.current_role_id = r.role_id
LEFT JOIN cm_lookup_skills lookup_skill ON lookup_skill.case_id = cas.case_id
LEFT JOIN cm_skill skill ON skill.skill_id = lookup_skill.skill_id
LEFT JOIN cm_skill_type skill_type ON skill_type.type_id = skill.type_id
WHERE 1 = 1
AND NOT (field = 'created_time'
AND username = 'System')
AND NOT (field = 'annotation'
AND username = 'System')
AND NOT (field = 'skill_name_')
AND NOT (field = 'assigned_to'
AND lower(aud.description) LIKE '%unassigned%')
AND NOT (field = 'attachment')
AND NOT (field = 'accept_list_id')
AND NOT (field LIKE 'screening_match_id%')
GROUP BY aud.case_id, cas.account_id, role_name, r.team_name, cas.created_time, cas.last_updated_time,
cas.screening_decision,
aud.created_time,
aud.username
""")
return landingDF
I have two queries with exact same grouping but I dont seem to be able to combine them in a correct way.
Query1:
SELECT
WorkPeriods.Id AS Z_Number,
CONVERT(VARCHAR, (CONVERT(DATE, WorkPeriods.StartDate, 103)), 103) AS Z_Date,
SUM(CASE WHEN Payments.Name = 'Cash' THEN Payments.Amount ELSE 0 END) AS Cash_Payments,
COUNT(CASE WHEN Payments.Name = 'Cash' THEN 1 END) AS No_of_Tickets_Cash,
SUM(CASE WHEN Payments.Name = 'Credit Card' THEN Payments.Amount ELSE 0 END) AS Credit_Card_Payments,
COUNT(CASE WHEN Payments.Name = 'Credit Card' THEN 1 END) AS No_of_Tickets_Credit_Card
FROM
Payments, WorkPeriods
WHERE
Payments.Date BETWEEN WorkPeriods.StartDate AND WorkPeriods.EndDate
GROUP BY
WorkPeriods.Id, WorkPeriods.StartDate
Query 2:
SELECT
WorkPeriods.Id AS Z_Number,
CONVERT(VARCHAR, (CONVERT(DATE, WorkPeriods.StartDate, 103)), 103) AS Z_Date,
SUM(CASE WHEN Orders.CalculatePrice = 0 THEN Orders.Quantity * Orders.Price ELSE 0 END) AS Gifts_Amount,
SUM(CASE WHEN Orders.CalculatePrice = 0 THEN Orders.Quantity ELSE 0 END) AS No_of_Gift_Orders
FROM
Orders, WorkPeriods
WHERE
Orders.CreatedDateTime BETWEEN WorkPeriods.StartDate AND WorkPeriods.EndDate
GROUP BY
WorkPeriods.Id, WorkPeriods.StartDate
Any advice on how to continue? I have already tried merging them using all 3 tables and all sum-count conditions but the result I get is wrong. I need all results to appear on the same row. Attached are query results
You can't just join them all in the one query, as you will get incorrect values as soon as you get multiple orders or payments in the same workperiod.
You could use the current queries as sub queries, and full join them to get the result. By using full join you get any results that are only on one table and not the other.
Select ISNULL(Pay.Z_Number, Ord.Z_Number) As Z_Number,
ISNULL(Pay.Z_Date, Ord.Z_Date) as Z_Date,
Pay.CashPayments,
Pay.No_of_Tickets_Cash,
Ord.Gifts_Amount
--other fields as appropriate
FROM (
--Query 1 here
) AS Pay
FULL OUTER JOIN (
--Query 2 here
) as Ord ON Pay.Z_Number = Ord.Z_Number and Pay.Z_Date = Ord.Z_Date
Another way to do this, is to create one sub query that has the data from both payments and orders in it unioned together, and then sum the resulting list in the outer query.
Below sample query may be helpful
SELECT
MAIN_T.Z_Number
,MAIN_T.Z_Date
,T1.Cash_Payments
,T1.Credit_Card_Payments
,T1.No_of_Tickets_Cash
,T1.No_of_Tickets_Credit_Card
,T2.Gifts_Amount
,T2.No_of_Gift_Orders
FROM
(SELECT DISTINCT
WorkPeriods.Id AS Z_Number,
CONVERT(VARCHAR, (CONVERT(DATE, WorkPeriods.StartDate, 103)), 103) AS Z_Date
FROM
Payments, WorkPeriods
WHERE
Payments.Date BETWEEN WorkPeriods.StartDate AND WorkPeriods.EndDate ) MAIN_T
LEFT JOIN
(SELECT
WorkPeriods.Id AS Z_Number,
CONVERT(VARCHAR, (CONVERT(DATE, WorkPeriods.StartDate, 103)), 103) AS Z_Date,
SUM(CASE WHEN Payments.Name = 'Cash' THEN Payments.Amount ELSE 0 END) AS Cash_Payments,
COUNT(CASE WHEN Payments.Name = 'Cash' THEN 1 END) AS No_of_Tickets_Cash,
SUM(CASE WHEN Payments.Name = 'Credit Card' THEN Payments.Amount ELSE 0 END) AS Credit_Card_Payments,
COUNT(CASE WHEN Payments.Name = 'Credit Card' THEN 1 END) AS No_of_Tickets_Credit_Card
FROM
Payments, WorkPeriods
WHERE
Payments.Date BETWEEN WorkPeriods.StartDate AND WorkPeriods.EndDate
GROUP BY
WorkPeriods.Id, WorkPeriods.StartDate) T1
ON MAIN_T.Z_Number=T1.Z_Number AND MAIN_T.Z_Date=T1.Z_Date
LEFT JOIN
(SELECT
WorkPeriods.Id AS Z_Number,
CONVERT(VARCHAR, (CONVERT(DATE, WorkPeriods.StartDate, 103)), 103) AS Z_Date,
SUM(CASE WHEN Orders.CalculatePrice = 0 THEN Orders.Quantity * Orders.Price ELSE 0 END) AS Gifts_Amount,
SUM(CASE WHEN Orders.CalculatePrice = 0 THEN Orders.Quantity ELSE 0 END) AS No_of_Gift_Orders
FROM
Orders, WorkPeriods
WHERE
Orders.CreatedDateTime BETWEEN WorkPeriods.StartDate AND WorkPeriods.EndDate
GROUP BY
WorkPeriods.Id, WorkPeriods.StartDate) T2
ON MAIN_T.Z_Number=T2.Z_Number AND MAIN_T.Z_Date=T2.Z_Date
I am looking to fetch records and I have come through a scenario in which i have to include additional where clauses between the select query using inner join.
select stp.sales_person as "Sales_Person",
max(case when stp.jan_month is null then 0 else stp.jan_month end) as "January",
select sum(so.amount_total) from sale_order so inner join res_users ru on ru.id=so.user_id
where date(so.confirmation_date) > '2017-01-01' and date(so.confirmation_date) < '2017-01-30',
max(case when stp.feb_month is null then 0 else stp.feb_month end) as "February",
max(case when stp.march_month is null then 0 else stp.march_month end) as "March",
max(case when stp.dec_month is null then 0 else stp.dec_month end) as "December"
from sales_target_record stp
inner join res_partner rp on rp.name=stp.sales_person inner join res_users ru on ru.partner_id = rp.id inner join crm_team ct on ru.sale_team_id = ct.id
where ct.name = 'Direct Sales' group by stp.sales_person
I have to insert columns like i tried with sum but is not working as its a join query
You have a syntax issue in your query if this is truly SQL Server
select
stp.sales_person as Sales_Person,
max(case
when stp.jan_month is null
then 0
else stp.jan_month
end) as January,
--This needed parenthese since it's a subquery. Though, it's uncorrelated
( select sum(so.amount_total)
from sale_order so
inner join res_users ru on ru.id=so.user_id
where cast(so.confirmation_date as date) > '2017-01-01' and cast(so.confirmation_date as date) < '2017-01-30'
--here you need to add something like stp.someColumn = so.SomeColumn to correlate it to the outer query
) as SomeNewColumnUnCorrelated,
max(case
when stp.feb_month is null
then 0
else stp.feb_month
end) as February,
max(case
when stp.march_month is null
then 0
else stp.march_month
end) as March,
max(case
when stp.dec_month is null
then 0
else stp.dec_month
end) as December
from
sales_target_record stp
inner join
res_partner rp on
rp.name=stp.sales_person
inner join
res_users ru on
ru.partner_id = rp.id
where
ct.name = 'Direct Sales'
group by
stp.sales_person
My results are showing both counts the same but there should be some that have different counts as CarCode is sometimes null.
SELECT distinct car.carKey,
car.Weight,
car.CarCode,
COUNT(car.carKey)OVER(PARTITION BY car.carKey) AS TotalCarKeyCount,
COUNT(Case When (car.[Weight] IS not null) and (car.CarCode is null) as CarCountWithoutCode
then 0
else car.carKey End) OVER(PARTITION BY car.carKey) AS CarCount
from car
results show TotalCarKeyCount and CarCountWithoutCode always with the same counts like the case statement isn't working or something.
It sounds like you might want to use SUM() instead:
SELECT distinct car.carKey,
car.Weight,
car.CarCode,
COUNT(car.carKey)OVER(PARTITION BY car.carKey) AS TotalCarKeyCount,
SUM(Case When (car.[Weight] IS not null) and (car.CarCode is null) as CarCountWithoutCode
then 0 else 1 End) OVER(PARTITION BY car.carKey) AS CarCount
from car
SQL Fiddle demo showing the difference between using COUNT() and SUM():
create table test
(
id int
);
insert into test values
(1), (null), (23), (4), (2);
select
count(case when id is null then 0 else id end) [count],
sum(case when id is null then 0 else 1 end) [sum]
from test;
Count returns 5 and Sum returns 4. Or you can change the COUNT() to use null and the null values will be excluded in the final count()
select
count(case when id is null then null else id end) [count],
sum(case when id is null then 0 else 1 end) [sum]
from test;
Your query would be:
SELECT distinct car.carKey,
car.Weight,
car.CarCode,
COUNT(car.carKey)OVER(PARTITION BY car.carKey) AS TotalCarKeyCount,
COUNT(Case When (car.[Weight] IS not null) and (car.CarCode is null) as CarCountWithoutCode
then null else 1 End) OVER(PARTITION BY car.carKey) AS CarCount
from car
Change the then 0 to then null. Zero values are counted, nulls are not.