I'm trying to generate a report and it must look like this:
My inicial data is 2019/08/01 and my final data is Today.
I have to show every date between this two dates, and then the amount of records. If there is no record, it must show zero.
So I tried:
SELECT M2.[Date], COUNT(1) AS 'qtd'
FROM [RM].[Mov] AS [m2]
WHERE [m2].[TipMovId] = 1
AND ([m2].[DataExercicio] BETWEEN '2019-07-31' AND GETDATE())
GROUP BY [m2].[DataPosse]
SELECT m2.[Date], COUNT(1) AS 'qtd2'
FROM [RM].[Mov] AS [m2]
WHERE [m2].[TipMovId] = 4
AND ([m2].[DataExercicio] BETWEEN '2019-07-31' AND GETDATE())
GROUP BY [m2].[DataExercicio]
And SQL returns me something like this:
How can I join the results and show all the dates in my period??
You can do something like this
SELECT M2.[Date],
sum(case when [m2].[TipMovId] = 1 then 1 else 0 end) AS 'qtd'
sum(case when [m2].[TipMovId] = 2 then 1 else 0 end) AS 'qtd2'
sum(case when [m2].[TipMovId] = 3 then 1 else 0 end) AS 'qtd3'
sum(case when [m2].[TipMovId] = 4 then 1 else 0 end) AS 'qtd4'
FROM [RM].[Mov] AS [m2]
WHERE
([m2].[DataExercicio] BETWEEN '2019-07-31' AND GETDATE()) GROUP BY [m2].[Date]
Related
Table 1
Table 2
My requirement is to input the Redemption month and list the tickets that has been scanned double or more.
For example Ticket No. T1 has been scanned 2 times under pickup,only once under PickupOutforDelivery and 2 times under Delivery.
Result needed like this:
How can I write a query to get the result like this?
Tried:
SELECT
Ticket,
COUNT(Scantype = 0) AS Pickup,
COUNT(Scantype = 1) AS PickupOutforDelivery,
COUNT(Scantype = 2) AS Delivery
FROM
Scans
GROUP BY
Ticket, ScanType
HAVING
(Pickup > 1 OR PickupOutforDelivery > 1 OR Delivery > 1)
OR (Pickup >= 1 AND PickupOutforDelivery >= 1)
ORDER BY
Ticket
Result
Assuming that RedemptionMonth has a datatype of DATE (which is clearly required); the following query will give you the result you want, except the "cosmetic" part (breaking by year month for the report part) that you have to do on your application:
SELECT YEAR(RedemptionMonth) AS [YEAR], MONTH(RedemptionMonth) AS [MONTH], TicketNo,
COALESCE(SUM(CASE WHEN ScanName = 'Pickup' THEN 1 ELSE 0 END), 0) AS Pickup,
COALESCE(SUM(CASE WHEN ScanName = 'PickupOutForDelivery' THEN 1 ELSE 0 END), 0) AS PickupOutForDelivery ,
COALESCE(SUM(CASE WHEN ScanName = 'Delivery' THEN 1 ELSE 0 END), 0) AS Delivery
FROM [Table 1] AS T1
JOIN [Table 2] AS T2
ON T1.ScanType = T2.ScanType
GROUP BY YEAR(RedemptionMonth) AS [YEAR], MONTH(RedemptionMonth) AS [MONTH], TicketNo
Because you are using the numeric value of scanType, no JOIN is needed. So, the only fix is needed for conditional aggregation:
SELECT Ticket,
SUM(CASE WHEN Scantype = 0 THEN 1 ELSE 0 END) as Pickup,
SUM(CASE WHEN Scantype = 1 THEN 1 ELSE 0 END) as PickupOutforDelivery,
SUM(CASE WHEN Scantype = 2 THEN 1 ELSE 0 END) as Delivery
FROM Scans
WHERE redemptionMonth = 'Jan-21'
GROUP BY Ticket
HAVING Pickup > 1 OR
PickupOutforDelivery > 1 OR
Delivery > 1 OR
(Pickup >= 1 AND PickupOutforDelivery >= 1)
ORDER BY Ticket;
Note that you can add redemptionMonth to the GROUP BY (and SELECT) to get the results for each month.
If redemptionMonth is really a date and not a string, then define the time period using a range of dates:
WHERE redemptionMonth >= '2021-01-01' AND
redemptionMonth < '2021-02-01'
I wrote this code to get the number of risks with different status but I don't want the result in multiple rows, I just added the C_INSERTTIME field in order to filter the time later. how can i get the result in one row?
SELECT rsk.C_INSERTTIME inserttime,
SUM(CASE
WHEN rskst.c_code = 'HSE_RISK_STATUS_DRAFT' THEN 1
ELSE 0
END) AS drafted_risk,
SUM(CASE
WHEN rskst.c_code <> 'HSE_RISK_STATUS_DRAFT' THEN 1
ELSE 0
END) AS analyzed_risk,
SUM(CASE
WHEN rskdecsass.c_code = 'HSE_DECISION_ASSESSMENT_APPROVED' THEN 1
ELSE 0
END) AS approved_assessed_risks
FROM T_HSE_RISK rsk
LEFT JOIN t_hse_category_element rskst ON rskst.c_id = rsk.f_category_element_id_rsk_stts
LEFT JOIN t_hse_category_element rskdecsass ON rskdecsass.c_id = rsk.F_CTGRY_ELMNT_ID_DCSN_ASSSSMNT
WHERE rsk.C_INSERTTIME >= TIMESTAMP '2000-01-01 00:00:00'
GROUP BY rsk.C_INSERTTIME
You should remove the GROUP BY and use aggregation on C_inserttime as follows:
SELECT min(rsk.C_INSERTTIME) inserttime, -- or max
SUM(CASE
WHEN rskst.c_code = 'HSE_RISK_STATUS_DRAFT' THEN 1
ELSE 0
END) AS drafted_risk,
SUM(CASE
WHEN rskst.c_code <> 'HSE_RISK_STATUS_DRAFT' THEN 1
ELSE 0
END) AS analyzed_risk,
SUM(CASE
WHEN rskdecsass.c_code = 'HSE_DECISION_ASSESSMENT_APPROVED' THEN 1
ELSE 0
END) AS approved_assessed_risks
FROM T_HSE_RISK rsk
LEFT JOIN t_hse_category_element rskst ON rskst.c_id = rsk.f_category_element_id_rsk_stts
LEFT JOIN t_hse_category_element rskdecsass ON rskdecsass.c_id = rsk.F_CTGRY_ELMNT_ID_DCSN_ASSSSMNT
WHERE rsk.C_INSERTTIME >= TIMESTAMP '2000-01-01 00:00:00'
-- GROUP BY rsk.C_INSERTTIME -- removed this
I am trying to return year over year results based on date criteria. There is additional information I would like to include in the query i.e. first date of activity and first date of activity with spot name like '%6%'. The current query I have is multiplying the correct amounts by 6 and I can't figure out how to solve. When I remove the first "where" clause I get the correct amounts. Any help would be appreciated.
Select
V.IGB_License,
DBA,
V.Sci_Games_Name,
convert(date,v2.Activity_date) as First6thMachineDate,
convert(date,V3.Activity_date) as GoLiveDate,
sum(case when (v.Activity_date between '1/23/2019' and DATEADD(YEAR,-2,getdate()-1)) then v.Funds_in else 0 end) as FundsIn2019,
sum(case when (v.Activity_date between '1/23/2020' and DATEADD(YEAR,-1,getdate()-1)) then v.Funds_in else 0 end) as FundsIn2020,
sum(case when (v.Activity_date between '1/23/2021' and getdate()) then v.Funds_in else 0 end) as FundsIn2021,
sum(case when (v.Activity_date between '1/23/2019' and DATEADD(YEAR,-2,getdate()-1)) then v.Net_funds else 0 end) as NetFunds2019,
sum(case when (v.Activity_date between '1/23/2020' and DATEADD(YEAR,-1,getdate()-1)) then v.Net_funds else 0 end) as NetFunds2020,
sum(case when (v.Activity_date between '1/23/2021' and getdate()) then v.Net_funds else 0 end) as NetFunds2021
From VGT_activity V
Left Join Locations on v.IGB_License = Locations.IGB_License
left join VGT_activity V2 on v.IGB_License = v2.IGB_License
Left join VGT_activity V3 on v.IGB_License = v3.IGB_License
Where v2.Activity_date = (
Select Min(V1.Activity_date)
From VGT_activity V1
Where v1.IGB_License = V2.IGB_License
and Spot_name like '%6%'
)
and v3.Activity_date = (
Select Min(V1.Activity_date)
From VGT_activity V1
Where v1.IGB_License = V3.IGB_License
)
group by V.IGB_License, dba, V.Sci_Games_Name, v2.Activity_date, v3.Activity_date
order by 4
I have the following data:
In SQL Server How can I have group by weekdate so I have only one row for each weekdate, example for the weekdate 2015-11-14:
Any clue?
Use conditional aggregation.
select cast(weekdate as date),
sum(case when permittype = 0 then total else 0 end) as permittype0,
sum(case when permittype = 1 then total else 0 end) as permittype1
from tablename
group by cast(weekdate as date)
I would do this using conditional aggregation:
select weekdate,
sum(case when permittype = 0 then total else 0 end) as permitttype0,
sum(case when permittype = 1 then total else 0 end) as permitttype1
from followingdata t
group by weekdate
order by weekdate;
You can also use pivot syntax, if you prefer.
I want to do a query like:
select
count(asterisk) where acción='a'/count(asterisk) where acción='b' * 100
from
same_table
grouped by day
but I don't want use subquery, is it possible with joins?
I`m not sure the syntax is correct, but you can use something like this:
SELECT day,
SUM(CASE WHEN "acción" = 'a' THEN 1 ELSE 0 END) AS SUM_A,
SUM(CASE WHEN "acción" = 'b' THEN 1 ELSE 0 END) AS SUM_B,
SUM(CASE WHEN "acción" = 'a' THEN 1 ELSE 0 END) AS SUM_A / SUM(CASE WHEN "acción" = 'b' THEN 1 ELSE 0 END) * 100 AS result
FROM your_table
GROUP BY day
The concept is to actually sum the the values that you need, instead of count.