I know that there are other questions like this. However, my question is about why the query that I am using is not returning the optimal results. Below is the query. To give context, I have a single table that has 113 columns/fields. However, only 4 really matter; acct, year, qtr, cnty (county). This table is a list of employers by establishment. An employer can appear more than once. The same person owning 12 starbucks being the best example. What I am looking for is a query that will show when acct values have different cnty values. The below query works without error but it shows far too much. It shows rows where the acct value is the same but the cnty value is the same as well. Any thoughts on looking at this query as to why it shows too much?
select distinct t1.acct, t1.year, t1.qtr, t1.cnty
from dbo.table t1 join dbo.table t2 on t1.acct=t2.acct
where (t1.cnty <> t2.cnty)
order by t1.acct, t1.year, t1.qtr, t1.cnty
Intended result
acct year qtr cnty
1234567777 2007 4 7
1234567777 2008 1 9
1234567890 2006 4 31
1234567890 2007 1 3
2345678901 2006 4 7
2345678901 2007 2 1
Is this what you want?
select distinct t.acct, t.year, t.qtr, t.cnty
from (select t.*, min(cnty) over (partition by acct, year, qtr) as min_cnty,
max(cnty) over (partition by acct, year, qtr) as max_cnty
from dbo.table t
) t
where min_cnty <> max_cnty;
I have a table which has columns site,year and sales . this table is unique on site+year eg
site year sales
-------------------
a 2012 50
b 2013 100
a 2006 35
Now what I want to do is make this table unique on site+year+month. Thus each row gets duplicated 12 times, a month column is added which is labelled from 1-12 and the sales values get divided by 12 thus
site year month sales
-------------------------
a 2012 1 50/12
a 2012 2 50/12
...
a 2012 12 50/12
...
b 2013 1 100/12
...
a 2006 12 35/12
I am doing this on python currently and it works like a charm, but I need to do this in SQL (ideally PostgreSQL since I will be using this as a datasource for tableau)
It would be very helpful if someone can provide the explanations with the solution as well, since I am a novice at this
You can use generate_series() for that
select t.site, t.year, g.month, t.sales / 12
from the_table t
cross join generate_series(1,12) as g (month)
order by t.site, t.year, g.month;
If the column sales is an integer, you should cast that to a numeric to avoid the integer division: t.sales::numeric / 12
Online example: http://rextester.com/GUWPI39685
Try this approach (For T-SQL - MS SQL) :
DECLARE #T TABLE
(
[site] VARCHAR(5),
[year] INT,
sales INT
)
INSERT INTO #T
VALUES('A',2012,50),('B',2013,100),('C',2006,35)
;WITH CTE
AS
(
SELECT
MonthSeq = 1
UNION ALL
SELECT
MonthSeq = MonthSeq+1
FROM CTE
WHERE MonthSeq <12
)
SELECT
T.[site],
T.[year],
[Month] = CTE.MonthSeq,
sales = T.[sales]/12
FROM CTE
CROSS JOIN #T T
ORDER BY T.[site],CTe.MonthSeq
I would like to take a set of data and expand it by adding date rows based an existing field. For instance, If I have the following table (TABLE1):
ID NAME YEAR
1 John 2001
2 Jim 2012
3 Sally 2005
I want to take this data and put it into another table but expand it to include a set of months (and from there I can add monthly information). If I just look at the first record (John) my result would be:
ID NAME YEAR MONTH
1 John 2001 01-JAN-2001
1 John 2001 01-FEB-2001
1 John 2001 01-MAR-2001
...
1 John 2001 01-DEC-2001
I have the mechanism to derive my monthly dates but how do I extract the data from TABLE1 to make TABLE2. Here is just a quick query but, of course, I get the ORA-01427 single-row subquery returns more than one row as expect. Just not sure how to organize the query to put these two pieces together:
select id,
name,
year,
book_cd,
(SELECT ADD_MONTHS('01-JAN-'|| year, LEVEL - 1)
FROM DUAL CONNECT BY LEVEL <= 12) month
from table1 ;
I realize I cant do this but I'm not sure how to put the two pieces together. I plan to bulk process records so it wont be one ID at a time Thanks for the help.
You can use a cross join:
select t.id,
t.name,
t.year,
t.book_cd,
ADD_MONTHS(to_date(t.year || '-01-01', 'YYYY-MM-DD'), m.rn) as mnth
from table1 t
cross join (select rownum - 1 as rn
from dual
connect by rownum <= 12) m
This question already has answers here:
How to get rows having sum equal to given value
(4 answers)
Closed 9 years ago.
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here is table T :-
id num
-------
1 50
2 20
3 90
4 40
5 10
6 60
7 30
8 100
9 70
10 80
and the following is a fictional sql
select *
from T
where sum(num) = '150'
the expected result is :-
(A)
id num
-------
1 50
8 100
(B)
id num
-------
2 20
7 30
8 100
(C)
id num
-------
4 40
5 10
8 100
the 'A' case is most preferred !
i know this case is related to combinations.
in real world - client gets items from a shop, and because of an agreement between him and the shop, he pay every Friday. the payment amount is not the exact total of items
for example: he gets 5 books of 50 € ( = 250 € ), and on Friday he bring 150 €, so the first 3 books are perfect match - 3 * 50 = 150. i need to find the id's of those 3 books !
any help would be appreciated!
You can use recursive query in MSSQL to solve this.
SQLFiddle demo
The first recursive query build a tree of items with cumulative sum <= 150. Second recursive query takes leafs with cumulative sum = 150 and output all such paths to its roots. Also in the final results ordered by ItemsCount so you will get preferred groups (with minimal items count) first.
WITH CTE as
( SELECT id,num,
id as Grp,
0 as parent,
num as CSum,
1 as cnt,
CAST(id as Varchar(MAX)) as path
from T where num<=150
UNION all
SELECT t.id,t.num,
CTE.Grp as Grp,
CTE.id as parent,
T.num+CTE.CSum as CSum,
CTE.cnt+1 as cnt,
CTE.path+','+CAST(t.id as Varchar(MAX)) as path
from T
JOIN CTE on T.num+CTE.CSum<=150
and CTE.id<T.id
),
BACK_CTE as
(select CTE.id,CTE.num,CTE.grp,
CTE.path ,CTE.cnt as cnt,
CTE.parent,CSum
from CTE where CTE.CSum=150
union all
select CTE.id,CTE.num,CTE.grp,
BACK_CTE.path,BACK_CTE.cnt,
CTE.parent,CTE.CSum
from CTE
JOIN BACK_CTE on CTE.id=BACK_CTE.parent
and CTE.Grp=BACK_CTE.Grp
and BACK_CTE.CSum-BACK_CTE.num=CTE.CSum
)
select id,NUM,path, cnt as ItemsCount from BACK_CTE order by cnt,path,Id
If you restrict your problem to "which two numbers add up to a value", the solution is as follows:
SELECT t1.id, t1.num, t2.id,t2.num
FROM T t1
INNER JOIN T t2
ON t1.id < t2.id
WHERE t1.num + t2.num = 150
If you also want the result for three and more numbers you can achieve that by using the above query as a base for recursive SQL. Don't forget to specify a maximum recursion depth!
To find the id's of the books that the client is paying, you would need to have a table with your clients, and another one to store the orders of the client, and what products he bought.
Otherwise it would be impossible to know what product the payment refers to.
I have a Monthly Status database view I need to build a report based on. The data in the view looks something like this:
Category | Revenue | Yearh | Month
Bikes 10 000 2008 1
Bikes 12 000 2008 2
Bikes 12 000 2008 3
Bikes 15 000 2008 1
Bikes 11 000 2007 2
Bikes 11 500 2007 3
Bikes 15 400 2007 4
... And so forth
The view has a product category, a revenue, a year and a month. I want to create a report comparing 2007 and 2008, showing 0 for the months with no sales. So the report should look something like this:
Category | Month | Rev. This Year | Rev. Last Year
Bikes 1 10 000 0
Bikes 2 12 000 11 000
Bikes 3 12 000 11 500
Bikes 4 0 15 400
The key thing to notice is how month 1 only has sales in 2008, and therefore is 0 for 2007. Also, month 4 only has no sales in 2008, hence the 0, while it has sales in 2007 and still show up.
Also, the report is actually for financial year - so I would love to have empty columns with 0 in both if there was no sales in say month 5 for either 2007 or 2008.
The query I got looks something like this:
SELECT
SP1.Program,
SP1.Year,
SP1.Month,
SP1.TotalRevenue,
IsNull(SP2.TotalRevenue, 0) AS LastYearTotalRevenue
FROM PVMonthlyStatusReport AS SP1
LEFT OUTER JOIN PVMonthlyStatusReport AS SP2 ON
SP1.Program = SP2.Program AND
SP2.Year = SP1.Year - 1 AND
SP1.Month = SP2.Month
WHERE
SP1.Program = 'Bikes' AND
SP1.Category = #Category AND
(SP1.Year >= #FinancialYear AND SP1.Year <= #FinancialYear + 1) AND
((SP1.Year = #FinancialYear AND SP1.Month > 6) OR
(SP1.Year = #FinancialYear + 1 AND SP1.Month <= 6))
ORDER BY SP1.Year, SP1.Month
The problem with this query is that it would not return the fourth row in my example data above, since we didn't have any sales in 2008, but we actually did in 2007.
This is probably a common query/problem, but my SQL is rusty after doing front-end development for so long. Any help is greatly appreciated!
Oh, btw, I'm using SQL 2005 for this query so if there are any helpful new features that might help me let me know.
The Case Statement is my best sql friend. You also need a table for time to generate your 0 rev in both months.
Assumptions are based on the availability of following tables:
sales: Category | Revenue | Yearh |
Month
and
tm: Year | Month (populated with all
dates required for reporting)
Example 1 without empty rows:
select
Category
,month
,SUM(CASE WHEN YEAR = 2008 THEN Revenue ELSE 0 END) this_year
,SUM(CASE WHEN YEAR = 2007 THEN Revenue ELSE 0 END) last_year
from
sales
where
year in (2008,2007)
group by
Category
,month
RETURNS:
Category | Month | Rev. This Year | Rev. Last Year
Bikes 1 10 000 0
Bikes 2 12 000 11 000
Bikes 3 12 000 11 500
Bikes 4 0 15 400
Example 2 with empty rows:
I am going to use a sub query (but others may not) and will return an empty row for every product and year month combo.
select
fill.Category
,fill.month
,SUM(CASE WHEN YEAR = 2008 THEN Revenue ELSE 0 END) this_year
,SUM(CASE WHEN YEAR = 2007 THEN Revenue ELSE 0 END) last_year
from
sales
Right join (select distinct --try out left, right and cross joins to test results.
product
,year
,month
from
sales --this ideally would be from a products table
cross join tm
where
year in (2008,2007)) fill
where
fill.year in (2008,2007)
group by
fill.Category
,fill.month
RETURNS:
Category | Month | Rev. This Year | Rev. Last Year
Bikes 1 10 000 0
Bikes 2 12 000 11 000
Bikes 3 12 000 11 500
Bikes 4 0 15 400
Bikes 5 0 0
Bikes 6 0 0
Bikes 7 0 0
Bikes 8 0 0
Note that most reporting tools will do this crosstab or matrix functionality, and now that i think of it SQL Server 2005 has pivot syntax that will do this as well.
Here are some additional resources.
CASE
https://web.archive.org/web/20210728081626/https://www.4guysfromrolla.com/webtech/102704-1.shtml
SQL SERVER 2005 PIVOT
http://msdn.microsoft.com/en-us/library/ms177410.aspx
#Christian -- markdown editor -- UGH; especially when the preview and the final version of your post disagree...
#Christian -- full outer join -- the full outer join is overruled by the fact that there are references to SP1 in the WHERE clause, and the WHERE clause is applied after the JOIN. To do a full outer join with filtering on one of the tables, you need to put your WHERE clause into a subquery, so the filtering happens before the join, or try to build all of your WHERE criteria onto the JOIN ON clause, which is insanely ugly. Well, there's actually no pretty way to do this one.
#Jonas: Considering this:
Also, the report is actually for financial year - so I would love to have empty columns with 0 in both if there was no sales in say month 5 for either 2007 or 2008.
and the fact that this job can't be done with a pretty query, I would definitely try to get the results you actually want. No point in having an ugly query and not even getting the exact data you actually want. ;)
So, I'd suggest doing this in 5 steps:
1. create a temp table in the format you want your results to match
2. populate it with twelve rows, with 1-12 in the month column
3. update the "This Year" column using your SP1 logic
4. update the "Last Year" column using your SP2 logic
5. select from the temp table
Of course, I guess I'm working from the assumption that you can create a stored procedure to accomplish this. You might technically be able to run this whole batch inline, but that kind of ugliness is very rarely seen. If you can't make an SP, I suggest you fall back on the full outer join via subquery, but it won't get you a row when a month had no sales either year.
The trick is to do a FULL JOIN, with ISNULL's to get the joined columns from either table. I usually wrap this into a view or derived table, otherwise you need to use ISNULL in the WHERE clause as well.
SELECT
Program,
Month,
ThisYearTotalRevenue,
PriorYearTotalRevenue
FROM (
SELECT
ISNULL(ThisYear.Program, PriorYear.Program) as Program,
ISNULL(ThisYear.Month, PriorYear.Month),
ISNULL(ThisYear.TotalRevenue, 0) as ThisYearTotalRevenue,
ISNULL(PriorYear.TotalRevenue, 0) as PriorYearTotalRevenue
FROM (
SELECT Program, Month, SUM(TotalRevenue) as TotalRevenue
FROM PVMonthlyStatusReport
WHERE Year = #FinancialYear
GROUP BY Program, Month
) as ThisYear
FULL OUTER JOIN (
SELECT Program, Month, SUM(TotalRevenue) as TotalRevenue
FROM PVMonthlyStatusReport
WHERE Year = (#FinancialYear - 1)
GROUP BY Program, Month
) as PriorYear ON
ThisYear.Program = PriorYear.Program
AND ThisYear.Month = PriorYear.Month
) as Revenue
WHERE
Program = 'Bikes'
ORDER BY
Month
That should get you your minimum requirements - rows with sales in either 2007 or 2008, or both. To get rows with no sales in either year, you just need to INNER JOIN to a 1-12 numbers table (you do have one of those, don't you?).
About the markdown - Yeah that is frustrating. The editor did preview my HTML table, but after posting it was gone - So had to remove all HTML formatting from the post...
#kcrumley I think we've reached similar conclusions. This query easily gets real ugly. I actually solved this before reading your answer, using a similar (but yet different approach). I have access to create stored procedures and functions on the reporting database. I created a Table Valued function accepting a product category and a financial year as the parameter. Based on that the function will populate a table containing 12 rows. The rows will be populated with data from the view if any sales available, if not the row will have 0 values.
I then join the two tables returned by the functions. Since I know all tables will have twelve roves it's allot easier, and I can join on Product Category and Month:
SELECT
SP1.Program,
SP1.Year,
SP1.Month,
SP1.TotalRevenue AS ThisYearRevenue,
SP2.TotalRevenue AS LastYearRevenue
FROM GetFinancialYear(#Category, 'First Look', 2008) AS SP1
RIGHT JOIN GetFinancialYear(#Category, 'First Look', 2007) AS SP2 ON
SP1.Program = SP2.Program AND
SP1.Month = SP2.Month
I think your approach is probably a little cleaner as the GetFinancialYear function is quite messy! But at least it works - which makes me happy for now ;)
I could be wrong but shouldn't you be using a full outer join instead of just a left join? That way you will be getting 'empty' columns from both tables.
http://en.wikipedia.org/wiki/Join_(SQL)#Full_outer_join
Using pivot and Dynamic Sql we can achieve this result
SET NOCOUNT ON
IF OBJECT_ID('TEMPDB..#TEMP') IS NOT NULL
DROP TABLE #TEMP
;With cte(Category , Revenue , Yearh , [Month])
AS
(
SELECT 'Bikes', 10000, 2008,1 UNION ALL
SELECT 'Bikes', 12000, 2008,2 UNION ALL
SELECT 'Bikes', 12000, 2008,3 UNION ALL
SELECT 'Bikes', 15000, 2008,1 UNION ALL
SELECT 'Bikes', 11000, 2007,2 UNION ALL
SELECT 'Bikes', 11500, 2007,3 UNION ALL
SELECT 'Bikes', 15400, 2007,4
)
SELECT * INTO #Temp FROM cte
Declare #Column nvarchar(max),
#Column2 nvarchar(max),
#Sql nvarchar(max)
SELECT #Column=STUFF((SELECT DISTINCT ','+ 'ISNULL('+QUOTENAME(CAST(Yearh AS VArchar(10)))+','+'''0'''+')'+ 'AS '+ QUOTENAME(CAST(Yearh AS VArchar(10)))
FROM #Temp order by 1 desc FOR XML PATH ('')),1,1,'')
SELECT #Column2=STUFF((SELECT DISTINCT ','+ QUOTENAME(CAST(Yearh AS VArchar(10)))
FROM #Temp FOR XML PATH ('')),1,1,'')
SET #Sql= N'SELECT Category,[Month],'+ #Column +'FRom #Temp
PIVOT
(MIN(Revenue) FOR yearh IN ('+#Column2+')
) AS Pvt
'
EXEC(#Sql)
Print #Sql
Result
Category Month 2008 2007
----------------------------------
Bikes 1 10000 0
Bikes 2 12000 11000
Bikes 3 12000 11500
Bikes 4 0 15400