I need help in my query. I am trying to divide a SUM of a column with different WHERE conditions for example
SELECT
TO_CHAR(PS.REPORT_PERIOD_END_DATE, 'YYYY') AS YR,
SUM(T1.PRICE) AS COLUMN_1
FROM TABLE_ONE T1
INNER JOIN SUB_STATUSES status ON status.SUB_ID = T1.ID
WHERE status.R_SUB_STATUS_CODE = 'COMPLETED'
AND T1.TYPE = 'COMPANY' OR T1.TYPE = 'SMALL_BUSINESS'
GROUP BY TO_CHAR(PS.REPORT_PERIOD_END_DATE, 'YYYY')
ORDER BY TO_CHAR(PS.REPORT_PERIOD_END_DATE, 'YYYY') DESC
DIVIDE BY
SELECT
TO_CHAR(PS.REPORT_PERIOD_END_DATE, 'YYYY') AS YR,
SUM(T1.PRICE) AS COLUMN_1
from TABLE_ONE T1
INNER JOIN SUB_STATUSES status ON status.SUB_ID = T1.ID
WHERE status.R_SUB_STATUS_CODE = 'COMPLETED'
AND T1.TYPE = 'LOT' OR T1.TYPE = 'LAND'
GROUP BY TO_CHAR(PS.REPORT_PERIOD_END_DATE, 'YYYY')
ORDER BY TO_CHAR(PS.REPORT_PERIOD_END_DATE, 'YYYY') DESC
The first Column returns this :
2017 1094
2016 89
2015 95
2014 101
2013 113
2012 173
2011 191
2010 165
Use a case statement instead of a where clause. Outer query checks divide by zero.
SELECT yr, case when column_2 <> 0 then column_1/column2 else 0 end divcol
FROM (
SELECT
TO_CHAR(PS.REPORT_PERIOD_END_DATE, 'YYYY') AS YR,
SUM(case when t1.type in ('COMPANY', 'SMALL_BUSINESS') THEN T1.PRICE ELSE 0 END) as COLUMN_1,
SUM(case when t1.type in ('LOT', 'LAND') THEN T1.PRICE ELSE 0 end) AS COLUMN_2
FROM TABLE_ONE T1
INNER JOIN SUB_STATUSES status ON status.SUB_ID = T1.ID
WHERE status.R_SUB_STATUS_CODE = 'COMPLETED'
GROUP BY TO_CHAR(PS.REPORT_PERIOD_END_DATE, 'YYYY')
)
ORDER BY yr DESC
Related
I just begin learning Postgresql recently.
I have a table named 'sales':
create table sales
(
cust varchar(20),
prod varchar(20),
day integer,
month integer,
year integer,
state char(2),
quant integer
)
insert into sales values ('Bloom', 'Pepsi', 2, 12, 2001, 'NY', 4232);
insert into sales values ('Knuth', 'Bread', 23, 5, 2005, 'PA', 4167);
insert into sales values ('Emily', 'Pepsi', 22, 1, 2006, 'CT', 4404);
insert into sales values ('Emily', 'Fruits', 11, 1, 2000, 'NJ', 4369);
insert into sales values ('Helen', 'Milk', 7, 11, 2006, 'CT', 210);
......
It looks like this:
And there are 500 rows in total.
Now I want to use the query to implement this:
For each combination of customer and product, output the maximum sales quantities for
NY and minimum sales quantities for NJ and CT in 3 separate columns. Like the first
report, display the corresponding dates (i.e., dates of those maximum and minimum sales
quantities). Furthermore, for CT and NJ, include only the sales that occurred after 2000;
for NY, include all sales.
It should be like this:
I have tried the following query:
SELECT
cust customer,
prod product,
MAX(CASE WHEN rn3 = 1 THEN quant END) NY_MAX,
MAX(CASE WHEN rn3 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date,
MIN(CASE WHEN rn2 = 1 THEN quant END) NJ_MIN,
MIN(CASE WHEN rn2 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date,
MIN(CASE WHEN rn1 = 1 THEN quant END) CT_MIN,
MIN(CASE WHEN rn1 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date
FROM (
SELECT
*,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant) rn1,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant) rn2,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant DESC) rn3
FROM sales
) x
WHERE rn1 = 1 OR rn2 = 1 or rn3 = 1
GROUP BY cust, prod;
This is the result:
This is wrong because it shows me the maximum number and minimum number of all states, not of the specific state I want. And I have no idea how to deal with the year as the question as me to do.
We can handle this using separate CTEs along with a calendar table:
WITH custprod AS (
SELECT DISTINCT cust, prod
FROM sales
),
ny_sales AS (
SELECT *, ROW_NUMBER() OVER (PARTITION BY cust, prod ORDER BY quant DESC) rn
FROM sales
WHERE state = 'NY'
),
nj_sales AS (
SELECT *, ROW_NUMBER() OVER (PARTITION BY cust, prod ORDER BY quant) rn
FROM sales
WHERE state = 'NJ'
),
ct_sales AS (
SELECT *, ROW_NUMBER() OVER (PARTITION BY cust, prod ORDER BY quant) rn
FROM sales
WHERE state = 'CT'
)
SELECT
cp.cust,
cp.prod,
nys.quant AS ny_max,
nys.year::text || '-' || nys.month::text || '-' || nys.day::text AS ny_date,
njs.quant AS nj_max,
njs.year::text || '-' || njs.month::text || '-' || njs.day::text AS nj_date,
cts.quant AS ct_max,
cts.year::text || '-' || cts.month::text || '-' || cts.day::text AS ct_date
FROM custprod cp
LEFT JOIN ny_sales nys
ON cp.cust = nys.cust AND cp.prod = nys.prod AND nys.rn = 1
LEFT JOIN nj_sales njs
ON cp.cust = njs.cust AND cp.prod = njs.prod AND njs.rn = 1
LEFT JOIN ct_sales cts
ON cp.cust = cts.cust AND cp.prod = cts.prod AND cts.rn = 1
ORDER BY
cp.cust,
cp.prod;
Note: You didn't provide comprehensive sample data, but the above seems to be working in the demo link below.
Demo
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
In this query I cant understand what would be the proper syntax to PIVOT it by month and also display just top 10 records based on SUM(NetWrittenPremium).
;with cte_TopClasses
AS (
select
b.YearNum,
b.MonthNum,
REPLACE(ClassCode,'+','') + ' - '+ QLL.Description as Description,
SUM( Premium) as NetWrittenPremium
FROM tblCalendar b
LEFT JOIN ProductionReportMetrics prm ON b.MonthNum=Month(prm.EffectiveDate) AND b.YearNum = YEAR(EffectiveDate)
AND prm.EffectiveDate >=DateAdd(yy, -1, DATEADD(d, 1, EOMONTH(GETDATE()))) AND prm.EffectiveDate <= EOMONTH(GETDATE()) AND CompanyLine = 'Ironshore Insurance Company'
LEFT JOIN NetRate_Quote_Insur_Quote Q ON prm.NetRate_QuoteID = Q.QuoteID
LEFT JOIN NetRate_Quote_Insur_Quote_Locat QL ON Q.QuoteID = QL.QuoteID
LEFT JOIN (SELECT * FROM NetRate_Quote_Insur_Quote_Locat_Liabi nqI
JOIN ( SELECT LocationID as LocID, MAX(ClassCode) as ClCode
FROM NetRate_Quote_Insur_Quote_Locat_Liabi GROUP BY LocationID ) nqA
ON nqA.LocID = nqI.LocationID AND nqA.ClCode = nqI.ClassCode ) QLL
ON QLL.LocationID = QL.LocationID
WHERE ( b.YearNum = YEAR(GETDATE())-1 and b.MonthNum >= MONTH(GETDATE())+1 ) OR
( b.YearNum = YEAR(GETDATE()) and b.MonthNum <= MONTH(GETDATE()) )
GROUP BY b.YearNum,b.MonthNum,ClassCode, QLL.Description
)
SELECT
--TOP 10
RANK() OVER (ORDER BY NetWrittenPremium DESC) AS Rank, *
FROM cte_TopClasses
WHERE Description IS NOT NULL
ORDER BY NetWrittenPremium DESC,YearNum,MonthNum
The result should look something like that:
If I use the query below and then using matrics in SSRS to PIVOT it - then after grouping by Description it only displays me 2 Description.
;with cte_TopClasses
AS (
select
b.YearNum,
b.MonthNum,
REPLACE(ClassCode,'+','') + ' - '+ QLL.Description as Description,
SUM( Premium) as NetWrittenPremium
FROM tblCalendar b
LEFT JOIN ProductionReportMetrics prm ON b.MonthNum=Month(prm.EffectiveDate) AND b.YearNum = YEAR(EffectiveDate)
AND prm.EffectiveDate >=DateAdd(yy, -1, DATEADD(d, 1, EOMONTH(GETDATE()))) AND prm.EffectiveDate <= EOMONTH(GETDATE()) AND CompanyLine = 'Ironshore Insurance Company'
LEFT JOIN NetRate_Quote_Insur_Quote Q ON prm.NetRate_QuoteID = Q.QuoteID
LEFT JOIN NetRate_Quote_Insur_Quote_Locat QL ON Q.QuoteID = QL.QuoteID
LEFT JOIN (SELECT * FROM NetRate_Quote_Insur_Quote_Locat_Liabi nqI
JOIN ( SELECT LocationID as LocID, MAX(ClassCode) as ClCode
FROM NetRate_Quote_Insur_Quote_Locat_Liabi GROUP BY LocationID ) nqA
ON nqA.LocID = nqI.LocationID AND nqA.ClCode = nqI.ClassCode ) QLL
ON QLL.LocationID = QL.LocationID
WHERE ( b.YearNum = YEAR(GETDATE())-1 and b.MonthNum >= MONTH(GETDATE())+1 ) OR
( b.YearNum = YEAR(GETDATE()) and b.MonthNum <= MONTH(GETDATE()) )
GROUP BY b.YearNum,b.MonthNum,ClassCode, QLL.Description
)
SELECT *
FROM (SELECT RANK() OVER (ORDER BY NetWrittenPremium DESC) AS Rank, *
FROM cte_TopClasses
WHERE Description IS NOT NULL) AA
WHERE AA.Rank <= 10
ORDER BY AA.NetWrittenPremium DESC, AA.YearNum, AA.MonthNum
And the result of it in SSRS matrics :
You could try something like this at the end of the query, rather than what is there now:
SELECT *
FROM (SELECT RANK() OVER (ORDER BY [Description] DESC) AS Rank, *
FROM cte_TopClasses
WHERE Description IN (SELECT [Description]
FROM (SELECT RANK() OVER (ORDER BY SUM(NetWrittenPremium) DESC) AS [Rank], [Description], SUM(NetWrittenPremium) AS total
FROM cte_TopClasses
WHERE [Description] IS NOT NULL
GROUP BY [Description]) BB
WHERE [Rank] <= 10)) AA
ORDER BY YearNum, MonthNum
This wraps the query in a SELECT, and filters the ranked results to the 10 you want.
Then use a matrix in the report to pivot the results.
I have a table structure like below
DECLARE #XTable TABLE
(
ColA Varchar(20),
ColB Varchar(20),
DateCol DATE
)
INSERT INTO #XTable
VALUES
('A', 'X1', '4/1/2015'), ('A', 'X2', '4/10/2015'), ('A', 'X3', '4/12/2015'),
('A', 'X4', '4/16/2015'), ('B', 'X1', '5/18/2015'), ('B', 'X2', '5/20/2015')
Expected output:
/*
ColA ColB DateCol Diff
A X1 4/1/2015 0
A X2 4/10/2015 9
A X3 4/12/2015 2
A X3 4/12/2015 11
A X4 4/16/2015 15
A X4 4/16/2015 5
A X4 4/16/2015 4
B X1 5/18/2015 0
B X2 5/20/2015 12
*/
for example:
A X4 will have a difference of date from A X1, A X2 and A X3
& A X3 will have a difference of date from A X1 & A X2
I am able to get difference from last row via below query
;WITH Dataf
AS (
SELECT
*,
ROW_NUMBER() OVER (ORDER BY ColA,ColB, DateCol) AS RowNum
FROM
#XTable
)
SELECT a.ColA, a.ColB, SUM(DATEDIFF(Dd,b.DateCol,a.DateCol)) as TotalTime
FROM
Dataf AS A
LEFT OUTER JOIN Dataf AS B
ON A.RowNum = B.RowNum + 1 and a.ColA = b.ColA
GROUP BY a.ColA, a.ColB
Thought of applying multiple CTE, here is on what I am working now
;WITH Dataf
AS (
SELECT
*,
ROW_NUMBER() OVER (PARTITION BY ColA ORDER BY DateCol) AS RowNum
FROM
#XTable
),
CTE AS
(
SELECT ColA, ColB, DateCol, RowNum, NULL AS DateDifference
FROM Dataf WHERE RowNum = 1
UNION ALL
SELECT DF.ColA, DF.ColB, DF.DateCol, DF.RowNum ,
DATEDIFF(DD, CT.DateCol, DF.DateCol) AS DateDifference
FROM Dataf DF
JOIN CTE CT ON DF.ColA = CT.ColA AND DF.RowNum = CT.RowNum + 1
)
SELECT *
FROM CTE
ORDER BY ColA
You can instead use LEFT OUTER JOIN to the CTE you prepared. Here is how it can be done
;WITH DataForm
AS (
SELECT
*,
ROW_NUMBER() OVER (PARTITION BY Cola ORDER BY DateCol) AS RowNum
FROM
#XTable
)
SELECT ColA, ColB, DateCol, 0
FROM DataForm WHERE RowNum = 1
UNION
SELECT T1.ColA, T1.ColB, T1.DateCol
, DATEDIFF(dd,T2.DateCol, T1.Datecol)
FROM DataForm T1
LEFT OUTER JOIN DataForm T2 ON T1.ColA = T2.ColA
AND T1.RowNum >= T2.RowNum
WHERE DATEDIFF(dd,T2.DateCol, T1.Datecol) > 0
SQL Fiddler Example
I have a table with date range an i need the sum of overlapping periods (in hours) between its rows.
This is a schema example:
create table period (
id int,
starttime datetime,
endtime datetime,
type varchar(64)
);
insert into period values (1,'2013-04-07 8:00','2013-04-07 13:00','Work');
insert into period values (2,'2013-04-07 14:00','2013-04-07 17:00','Work');
insert into period values (3,'2013-04-08 8:00','2013-04-08 13:00','Work');
insert into period values (4,'2013-04-08 14:00','2013-04-08 17:00','Work');
insert into period values (5,'2013-04-07 10:00','2013-04-07 11:00','Holyday'); /* 1h overlapping with 1*/
insert into period values (6,'2013-04-08 10:00','2013-04-08 20:00','Transfer'); /* 6h overlapping with 3 and 4*/
insert into period values (7,'2013-04-08 11:00','2013-04-08 12:00','Test'); /* 1h overlapping with 3 and 6*/
And its fiddle: http://sqlfiddle.com/#!6/9ca31/10
I expect a sum of 8h overlapping hours:
1h (id 5 over id 1)
6h (id 6 over id 3 and 4)
1h (id 7 over id 3 and 6)
I check this: select overlapping datetime events with SQL but seems to not do what I need.
Thank you.
select sum(datediff(hh, case when t2.starttime > t1.starttime then t2.starttime else t1.starttime end,
case when t2.endtime > t1.endtime then t1.endtime else t2.endtime end))
from period t1
join period t2 on t1.id < t2.id
where t2.endtime > t1.starttime and t2.starttime < t1.endtime;
Updated to handle several overlaps:
select sum(datediff(hh, start, fin))
from (select distinct
case when t2.starttime > t1.starttime then t2.starttime else t1.starttime end as start,
case when t2.endtime > t1.endtime then t1.endtime else t2.endtime end as fin
from period t1
join period t2 on t1.id < t2.id
where t2.endtime > t1.starttime and t2.starttime < t1.endtime
) as overlaps;
I have some "dirty" solution. Hope this helps :)
with src as (
select
convert(varchar, starttime, 112) [start_date]
, cast(left(convert(varchar, starttime, 108), 2) as int) [start_time]
, convert(varchar, endtime, 112) [end_date]
, cast(left(convert(varchar, endtime, 108), 2) as int) [end_time]
, id
from [period]),
[gr] as (
select
row_number() over(order by s1.[start_date], s1.[start_time], s1.[end_time], s2.[start_time], s2.[end_time]) [no]
, s1.[start_date] [date]
, s1.[start_time] [t1]
, s1.[end_time] [t2]
, s2.[start_time] [t3]
, s2.[end_time] [t4]
from src s1
join src s2 on s1.[start_date] = s2.[start_date]
and s1.[end_date] = s2.[end_date]
and (s1.[start_time] between s2.[start_time] and s2.[end_time] or s1.[end_time] between s2.[start_time] and s2.[end_time])
and s1.id != s2.id),
[raw] as (
select [no], [date], [t1] [h] from [gr] union all
select [no], [date], [t2] from [gr] union all
select [no], [date], [t3] from [gr] union all
select [no], [date], [t4] from [gr]),
[max_min] as (
select [no], [date], max(h) [max_h], min(h) [min_h]
from [raw]
group by [no], [date]
),
[result] as (
select [raw].*
from [raw]
left join [max_min] on [raw].[no] = [max_min].[no]
and ([raw].h = [max_min].[max_h] or [raw].h = [max_min].[min_h])
where [max_min].[no] is null),
[final] as (
select distinct r1.[date], r1.h [start_h], r2.h [end_h], abs(r1.h - r2.h) [dif]
from [result] r1
join [result] r2 on r1.[no] = r2.[no]
where abs(r1.h - r2.h) > 0
and r1.h > r2.h)
select sum(dif) [overlapping hours] from [final]
SQLFiddle