I am new to SQL Server, when I run the query shown below, I am getting error
Invalid column name display_name
Can anyone please help me? How can I resolve this problem?
Here is my query:
SELECT
'Nbr of RAPs' AS display_name,
MonthRap AS MonthStart,
COUNT(DISTINCT tb_Episode.id) AS total
FROM
tb_Episode
WHERE
(BranchID = '244' or BranchID = '242' or BranchID = '240' or BranchID = '243')
AND RAPClaimDate IS NOT NULL
AND RAPClaimDate >= '2017-01-01'
AND RAPClaimDate < '2018-2-01'
AND tb_Episode.CustID = '27'
AND tb_Episode.DTR >= 0
AND tb_Episode.DTR <= '30'
AND tb_Episode.PayorType = 'Medicare Traditional'
GROUP BY
display_name, MonthRap
ORDER BY
tb_Episode.MonthRap ASC
It is a constant, so you do not need to aggregate by it. The reason for this error is that column aliases are not allowed in the group by. There are other issues as well with the query. I would suggest:
SELECT 'Nbr of RAPs' as display_name,
e.MonthRap as MonthStart,
count(*) as total
FROM tb_Episode e
WHERE e.BranchID IN (244, 242, 240, 243) AND
e.RAPClaimDate is not null AND
e.RAPClaimDate >= '2017-01-01' AND
e.RAPClaimDate < '2018-02-01' AND
e.tb_Episode.CustID = 27 AND
e.tb_Episode.DTR >= 0 AND
e.tb_Episode.DTR <= 30 AND
e.tb_Episode.PayorType = 'Medicare Traditional'
GROUP BY MonthRap
ORDER BY e.MonthRap asc;
Notes:
I removed the DISTINCT. Presumably, id is already unique in the table. If it is not, then use DISTINCT. However, COUNT(DISTINCT) is typically a bit slower than COUNT(*).
I replaced the first condition with IN -- simpler to read to to write.
I removed single quotes around what look like number constants. Don't turn numbers into strings, if you intend a number.
I changed the format of the dates to be YYYY-MM-DD. Use a fixed length format, rather than dispensing with 0s for low numbered months and days.
I also added a table alias and qualified all column names.
The query should be :
SELECT 'Nbr of RAPs' as display_name,
MonthRap as MonthStart,
count(DISTINCT tb_Episode.id) as total
FROM tb_Episode
WHERE (BranchID = '244' or BranchID = '242' or BranchID = '240' or BranchID = '243')
AND RAPClaimDate is not null
AND RAPClaimDate >= '2017-01-01'
AND RAPClaimDate < '2018-2-01'
AND tb_Episode.CustID = '27'
AND tb_Episode.DTR >= 0
AND tb_Episode.DTR <= '30'
AND tb_Episode.PayorType = 'Medicare Traditional'
GROUP BY MonthRap
ORDER BY tb_Episode.MonthRap asc
Please notice the aliased column 'display_name' is removed from the group by. You can't add the column name display_name in group by because it is created and aliased in the SELECT query.
Related
Thanks for the help on this matter, I'm new with SQL. I'm trying to get a sub-count of Jedi who had more than 2 padawans last month. I tried putting the condition in WHERE but I get an error saying I can't include aggregates in it. I also tried using a CASE but kept getting a syntax error there too. Any help on this would be incredible. Thank you so much!
SELECT COUNT(DISTINCT old_republic.jedi_id), old_republic.region_id
FROM jedi_archives.old_repulicdata old_republic
WHERE old_republic.republic_date >= '2022-06-01' AND old_republic.republic_date <= '2022-06-30' AND COUNT(old_republic.padawan)>2
GROUP BY old_republic.region_id
ORDER BY old_republic.region_id
SELECT old_republic.jedi_id CASE (
WHEN Count(old_republic.padawan)>2
THEN 1
ELSE 0 End), old_republic.region_id
FROM jedi_archives.old_repulicdata old_republic
WHERE old_republic.republic_date >= '2022-06-01' AND old_republic.republic_date <= '2022-06-30'
GROUP BY old_republic.region_id
ORDER BY old_republic.region_id
I can't comment to ask for a fiddle, but from what you've written, you're probably looking for the HAVING clause.
Assuming that padawan denotes the number of Padawans:
SELECT region_id, jedi_id, sum(padawan)
FROM jedi_archives.old_republicdata
WHERE republic_date >= '2022-06-01'
AND republic_date <= '2022-06-30'
GROUP BY region_id, jedi_id
HAVING sum(padawan) > 2;
This query will return the sum of Padawans for each Jedi per region who had more than two Padawans last month in one region (if you don't want to take the region into account, remove it from the SELECT and GROUP BY clause). Other Jedis won't appear in the result.
You can use the CASE expression, too, in order to indicate whether a Jedi had more than two padawans:
SELECT region_id, jedi_id,
CASE WHEN sum(padawan) > 2 THEN 1 ELSE 0 END AS more_than_2_padawans
FROM jedi_archives.old_republicdata
WHERE republic_date >= '2022-06-01'
AND republic_date <= '2022-06-30'
GROUP BY region_id, jedi_id;
I'm not entirely sure without sample data. But I think using the HAVING clause could solve your question.
SELECT COUNT(jedi_id) as jedi_id, region_id FROM tableA
WHERE republic_date between '2022-05-20' and '2022-05-25'
GROUP BY region_id
having padawan > 2
db fiddle
I have 2 SQL statements to look up successful transactions and failed transactions.
SELECT COUNT (code_reseller) as trx_success, kode_reseller
FROM transaksi
where status = '20' AND CAST (date_entri AS DATE) = CAST (GETDATE() AS DATE)
group by code_reseller
ORDER BY trx_success DESC
AND
SELECT COUNT (code_reseller) as trx_fail, kode_reseller
FROM transaksi
where status > '20' AND CAST (date_entri AS DATE) = CAST (GETDATE() AS DATE)
group by code_reseller
ORDER BY trx_fail DESC
How to combine into one table with 3 columns result with code_reseller, trx_success and trx_fail?
Use conditional aggregation and combine the queries:
SELECT
kode_reseller,
COUNT(CASE WHEN status = '20' THEN 1 END) AS trx_success,
COUNT(CASE WHEN status > '20' THEN 1 END) AS trx_fail
FROM transaksi
WHERE
CAST(date_entri AS DATE) = CAST(GETDATE() AS DATE)
GROUP BY
kode_reseller;
The strategy here is to move the filtering on the status column which previously appeared in the two WHERE clauses into the conditional counts in the SELECT clause. The restriction on date_entri can stay there, since both queries have it.
As suggested by #Dale k, you can do it like this.
You cannot add order by inside, so create an alias table and give order by condition.
SELECT *
FROM
(
SELECT COUNT (code_reseller) as trx_success, kode_reseller
FROM transaksi
WHERE status = '20' AND CAST (date_entri AS DATE) = CAST (GETDATE() AS DATE)
GROUP BY code_reseller
UNION ALL
SELECT COUNT (code_reseller) as trx_fail, kode_reseller
FROM transaksi
WHERE status > '20' AND CAST (date_entri AS DATE) = CAST (GETDATE() AS DATE)
GROUP BY code_reseller
) a
ORDER BY a.trx_success DESC --here we get first select query table' column name and datatype and no of column will be same required in union/union all
I'm trying to use a nested aggregate function. I know that SQL does not support it, but I really need to do something like the below query. Basically, I want to count the number of users for each day. But I want to only count the users that haven't completed an order within a 15 days window (relative to a specific day) and that have completed any order within a 30 days window (relative to a specific day). I already know that it is not possible to solve this problem using a regular subquery (it does not allow to change subquery values for each date). The "id" and the "state" attributes are related to the orders. Also, I'm using Fivetran with Snowflake.
SELECT
db.created_at::date as Date,
count(case when
(count(case when (db.state = 'finished')
and (db.created_at::date between dateadd(day,-15,Date) and dateadd(day,-1,Date)) then db.id end)
= 0) and
(count(case when (db.state = 'finished')
and (db.created_at::date between dateadd(day,-30,Date) and dateadd(day,-16,Date)) then db.id end)
> 0) then db.user end)
FROM
data_base as db
WHERE
db.created_at::date between '2020-01-01' and dateadd(day,-1,current_date)
GROUP BY Date
In other words, I want to transform the below query in a way that the "current_date" changes for each date.
WITH completed_15_days_before AS (
select
db.user as User,
count(case when db.state = 'finished' then db.id end) as Completed
from
data_base as db
where
db.created_at::date between dateadd(day,-15,current_date) and dateadd(day,-1,current_date)
group by User
),
completed_16_days_before AS (
select
db.user as User,
count(case when db.state = 'finished' then db.id end) as Completed
from
data_base as db
where
db.created_at::date between dateadd(day,-30,current_date) and dateadd(day,-16,current_date)
group by User
)
SELECT
date(db.created_at) as Date,
count(distinct case when comp_15.completadas = 0 and comp_16.completadas > 0 then comp_15.user end) as "Total Users Churn",
count(distinct case when comp_15.completadas > 0 then comp_15.user end) as "Total Users Active",
week(Date) as Week
FROM
data_base as db
left join completadas_15_days_before as comp_15 on comp_15.user = db.user
left join completadas_16_days_before as comp_16 on comp_16.user = db.user
WHERE
db.created_at::date between '2020-01-01' and dateadd(day,-1,current_date)
GROUP BY Date
Does anyone have a clue on how to solve this puzzle? Thank you very much!
The following should give you roughly what you want - difficult to test without sample data but should be a good enough starting point for you to then amend it to give you exactly what you want.
I've commented to the code to hopefully explain what each section is doing.
-- set parameter for the first date you want to generate the resultset for
set start_date = TO_DATE('2020-01-01','YYYY-MM-DD');
-- calculate the number of days between the start_date and the current date
set num_days = (Select datediff(day, $start_date , current_date()+1));
--generate a list of all the dates from the start date to the current date
-- i.e. every date that needs to appear in the resultset
WITH date_list as (
select
dateadd(
day,
'-' || row_number() over (order by null),
dateadd(day, '+1', current_date())
) as date_item
from table (generator(rowcount => ($num_days)))
)
--Create a list of all the orders that are in scope
-- i.e. 30 days before the start_date up to the current date
-- amend WHERE clause to in/exclude records as appropriate
,order_list as (
SELECT created_at, rt_id
from data_base
where created_at between dateadd(day,-30,$start_date) and current_date()
and state = 'finished'
)
SELECT dl.date_item
,COUNT (DISTINCT ol30.RT_ID) AS USER_COUNT
,COUNT (ol30.RT_ID) as ORDER_COUNT
FROM date_list dl
-- get all orders between -30 and -16 days of each date in date_list
left outer join order_list ol30 on ol30.created_at between dateadd(day,-30,dl.date_item) and dateadd(day,-16,dl.date_item)
-- exclude records that have the same RT_ID as in the ol30 dataset but have a date between 0 amd -15 of the date in date_list
WHERE NOT EXISTS (SELECT ol15.RT_ID
FROM order_list ol15
WHERE ol30.RT_ID = ol15.RT_ID
AND ol15.created_at between dateadd(day,-15,dl.date_item) and dl.date_item)
GROUP BY dl.date_item
ORDER BY dl.date_item;
i'm trying to get in a new column the sessions who are between 08:00 and 18:00. You can see my last CASE in the CTE. For each date there should be a new column "TotalRestrictedSessions" which indicate how many session were on that particular date. If there are none, in this case i have to write 0. I suspect that my problem is when i convert the DATE?
WITH ParkeonCTE
AS
(
SELECT
OccDate = CONVERT(DATE, OC.LocalStartTime),
TotalOccSessions = COUNT(OC.SessionId),
AuthorityId,
TotalOccDuration = ISNULL(SUM(OC.DurationMinutes),0),
TotalNumberOfOverstay = SUM(CAST(OC.IsOverstay AS INT)),
TotalMinOfOverstays = ISNULL(SUM(OC.OverStayDurationMinutes),0),
(CASE
WHEN OC.OspId IS NULL THEN 'OffStreet' ELSE 'OnStreet'
END
) AS ParkingContextType,
(CASE
WHEN CAST(OC.LocalStartTime AS TIME) >= '08:00:00' AND CAST(OC.LocalStartTime AS TIME) <=
'18:00:00'
THEN COUNT(OC.SessionId)
END
) AS TotalRestrictedSessions
FROM Analytics.OccupancySessions AS OC
WHERE OC.AuthorityId IS NOT NULL
GROUP BY CONVERT(DATE,OC.LocalStartTime), OC.AuthorityId,OC.OspId
)
SELECT OC.OccDate,
OC.ParkingContextType,
OC.AuthorityId,
OC.TotalRestrictedSessions,
SUM(OC.TotalOccSessions) AS TotalOccSessions,
AVG(OC.TotalOccDuration) AS AvgOccMinutesDuration, -- wrong
SUM(OC.TotalOccDuration) AS TotalOccDuration,
SUM(OC.TotalNumberOfOverstay) AS TotalNumberOfOverstay,
SUM(OC.TotalMinOfOverstays) AS TotalMinOfOverstays,
CAST(AVG(OC.TotalMinOfOverstays) AS decimal(10,2)) AS AvgMinOfOverstays -- wrong
FROM ParkeonCTE AS OC
GROUP BY OC.OccDate, OC.AuthorityId, OC.ParkingContextType
ORDER BY OC.OccDate DESC
You just need to move your aggregation outside of your CASE expression, called conditional aggregation.
SUM(CASE
WHEN CAST(OC.LocalStartTime AS TIME) >= '08:00:00'
AND CAST(OC.LocalStartTime AS TIME) <= '18:00:00'
THEN 1
ELSE 0
END
) AS TotalRestrictedSessions
Generally, you should include the current query results and your desired results in your question to make it easier to figure out where the issues are.
I have a SELECT statement that counts the number of instances and then saves in a variable. It has a HAVING clause that does a SUM and a COUNT. However since you have to have a GROUP BY in order to use having, the select statement returns 4 lines that are 1 instead of the total being 4. This then doesn't save the count into the variable as 4 but as 1 which obviously is not what I need so I am looking for an alternative work around.
select count(distinct p1.community)
from
"Database".prospect p1
where
p1.visit_date >= '2013-07-01'
and p1.visit_date <= '2013-09-30'
and p1.division = '61'
group By
p1.community
having
sum(p1.status_1) / count(p1.control_code) >= .16;
This is a reasonable alternative:
select count(*)
from (
select p1.community , sum(p1.status_1) / count(p1.control_code) SomeColumn
from
"Database".prospect p1
where
p1.visit_date >= '2013-07-01'
and p1.visit_date <= '2013-09-30'
and p1.division = '61'
Group By
p1.community
) A
where A.SomeColumn >= .16;