I have a Microsoft SQL Server with the following tables:
Projects
BookedHours (with fk_Project = Projects.ID)
Products
ProjectsToProducts (n:m with fk_Projects = Projects.ID and fk_Products = Products.ID)
I now want to select how many hours are booked to which product per month. The problem is, that one project can have multiple products (that's why I need the n:m table).
If I do the following, it will count the hours twice if a project has two products.
SELECT
P.ID AS fk_Product, MONTH(B.Datum) AS Monat, SUM(B.Hours) AS Stunden
FROM
tbl_BookedHours AS B
INNER JOIN
tbl_Projects AS M on B.fk_Project = M.ID
INNER JOIN
tbl_ProjectProduct AS PP ON PP.fk_Project = M.ID
INNER JOIN
tbl_Products AS P ON PP.fk_Product = P.ID
WHERE
YEAR(B.Datum) = 2020
GROUP BY
P.ID, MONTH(B.Datum)
ORDER BY
P.ID, MONTH(B.Datum)
I can get the number of products for each project with this SQL:
SELECT fk_Project, COUNT(*) AS Cnt
FROM tbl_ProjectProduct
GROUP By fk_MainProject
But how can I now divide the hours for each project by its individual factor and add it all up per product and month?
I could do it in my C# program or I could use a cursor and iterate through all projects, but I think there should be an more elegant way.
Edit with sample data:
|----------------| |----------------| |------------------------------|
| tbl_Projects | | tbl_Products | | tbl_ProjectProduct |
|----------------| |----------------| |------------------------------|
| ID | Name | | ID | Name | | ID | fk_Project | fk_Product |
|----+-----------| |----+-----------| |------------------------------|
| 1 | Project 1 | | 1 | Product 1 | | 1 | 1 | 1 |
| 2 | Project 2 | | 2 | Product 2 | | 2 | 1 | 2 |
| 3 | Project 3 | | 3 | Product 3 | | 3 | 2 | 1 |
| 4 | Project 4 | | 4 | Product 4 | | 4 | 3 | 3 |
|----------------| |----------------| | 5 | 4 | 1 |
| 6 | 4 | 2 |
| 7 | 4 | 4 |
|------------------------------|
|--------------------------------------|
| tbl_BookedHours |
|--------------------------------------|
| ID | fk_Project | Hours | Date |
|--------------------------------------|
| 1 | 1 | 10 | 2020-01-15 |
| 2 | 1 | 20 | 2020-01-20 |
| 3 | 2 | 10 | 2020-01-15 |
| 4 | 3 | 30 | 2020-01-18 |
| 5 | 2 | 20 | 2020-01-20 |
| 6 | 4 | 30 | 2020-01-25 |
| 7 | 1 | 10 | 2020-02-15 |
| 8 | 1 | 20 | 2020-02-20 |
| 9 | 2 | 10 | 2020-02-15 |
| 10 | 3 | 30 | 2020-03-18 |
| 11 | 2 | 20 | 2020-03-20 |
| 12 | 4 | 30 | 2020-03-25 |
|--------------------------------------|
The Result should be:
|----------------------------|
| fk_Product | Month | Hours |
|----------------------------|
| 1 | 1 | 55 |
| 2 | 1 | 25 |
| 3 | 1 | 30 |
| 4 | 1 | 10 |
| 1 | 2 | 25 |
| 2 | 2 | 15 |
| 1 | 3 | 30 |
| 2 | 3 | 10 |
| 3 | 3 | 30 |
| 4 | 3 | 10 |
|----------------------------|
For example booking Nr. 1 has to be divided by 2 (because Project 1 has two products) and one half of amount added to Product 1 and the other to Product 2 (Both in January). Booking Nr. 4 should not be divided, because Project 3 only has one product. Booking Numer 12 for example has to be divided by 3.
So that in total the Hours in the end add up to the same total.
I hope it's clearer now.
*** EDIT 2***
DECLARE #tbl_Projects TABLE (ID INT, [Name] VARCHAR(MAX))
INSERT INTO #tbl_Projects VALUES
(1,'Project 1'),
(2,'Project 2'),
(3,'Project 3'),
(4,'Project 4')
DECLARE #tbl_Products TABLE (ID INT, [Name] VARCHAR(MAX))
INSERT INTO #tbl_Products VALUES
(1,'Product 1'),
(2,'Product 2'),
(3,'Product 3'),
(4,'Product 4')
DECLARE #tbl_ProjectProduct TABLE (ID INT, fk_Project int, fk_Product int)
INSERT INTO #tbl_ProjectProduct VALUES
(1,1,1),
(2,1,2),
(3,2,1),
(4,3,3),
(5,4,1),
(6,4,2),
(7,4,4)
DECLARE #tbl_BookedHours TABLE (ID INT, fk_Project int, Hours int, [Date] Date)
INSERT INTO #tbl_BookedHours VALUES
(1,1,10,'2020-01-15'),
(2,1,20,'2020-01-20'),
(3,2,10,'2020-01-15'),
(4,3,30,'2020-01-18'),
(5,2,20,'2020-01-20'),
(6,4,30,'2020-01-25'),
(7,1,10,'2020-02-15'),
(8,1,20,'2020-02-20'),
(9,2,10,'2020-02-15'),
(10,3,30,'2020-03-18'),
(11,2,20,'2020-03-20'),
(12,4,30,'2020-03-25')
SELECT P.ID AS fk_Product, MONTH(B.Date) AS Month, SUM(B.Hours) AS SumHours
FROM #tbl_BookedHours AS B INNER JOIN #tbl_Projects AS M on B.fk_Project = M.ID
INNER JOIN #tbl_ProjectProduct AS PP ON PP.fk_Project = M.ID
INNER JOIN #tbl_Products AS P ON PP.fk_Product = P.ID
GROUP BY P.ID,MONTH(B.Date)
ORDER BY P.ID, MONTH(B.Date)
This gives me the wrong result, because it Counts the hours for both products:
| fk_Product | Month | SumHours |
|-------------------------------|
| 1 | 1 | 90 |
| 1 | 2 | 40 |
| 1 | 3 | 50 |
| 2 | 1 | 60 |
| 2 | 2 | 30 |
| 2 | 3 | 30 |
| 3 | 1 | 30 |
| 3 | 3 | 30 |
| 4 | 1 | 30 |
| 4 | 3 | 30 |
|-------------------------------|
Consider the following query. I modified your table variables to temp tables so it was easier to debug.
;WITH CTE AS
(
SELECT fk_Project, count(fk_Product) CNT
FROM #tbl_ProjectProduct
GROUP BY fk_Project
)
,CTE2 AS
(
SELECT t1.Date, t2.fk_Project, Hours/CNT NewHours
FROM #tbl_BookedHours t1
INNER JOIN CTE t2 on t1.fk_Project = t2.fk_Project
)
SELECT t4.ID fk_Product, MONTH(date) MN, SUM(NewHours) HRS
FROM CTE2 t1
INNER JOIN #tbl_Projects t2 on t1.fk_Project = t2.id
INNER JOIN #tbl_ProjectProduct t3 on t3.fk_Project = t2.ID
INNER JOIN #tbl_Products t4 on t4.ID = t3.fk_Product
GROUP BY t4.ID,MONTH(date)
I have a table that looks like this:
+----------------+--------+
| EvidenceNumber | ID |
+----------------+--------+
| 001 | 8 |
| 001.A | 8 |
| 001.A.01 | 8 |
| 001.A.02 | 8 |
| 001.B | 8 |
| 001.C | 8 |
| 001.D | 8 |
| 001.E | 8 |
| 001.F | 8 |
| 001.G | 8 |
| 001.G.01 | 8 |
+----------------+--------+
If 001 were a bag, inside of it was 001.A, 001.B, and so on through to 001.G
In the output above, 001.A was another bag, and that bag contained 001.A.01 and 001.A.02. The same thing can be seen with 001.G.01.
Every entry in this table is either a bag or an item. I am only interested in counting the amount of items per ID.
Since 001.A.01 and 001.A.02 is the last we see of the "001.A's" we know A.01 and A.02 were items.
Since we see 001.B only once, that was an item as well.
001.G was a bag, but 001.G.01 was an item.
The above output is showing 8 items and 3 bags.
I feel like Row_number and the Partition clause is the perfect tool for the job, but I can't find a way to partition based on a clause that uses a previous row's value.
Maybe something like that isn't even necessary here, but I pictured it like:
{001} -- variable
{001}.A -- variable seen again, obviously 001 was a bag. Create new variable {001.A} and move on.
{001.A}.01 -- same thing.
{001.A.01} -- Unique variable. This is a final step. This is a bag and should be Row number 1.
Obviously, the below code is just making "ItemNum" 1 for each item since there are not duplicates.
SELECT
ROW_NUMBER() OVER(Partition BY EvidenceNumber ORDER BY EvidenceNumber) AS ItemNum,
EvidenceNumber,
ID
FROM EVIDENCE
WHERE ID = '18'
ORDER BY EvidenceNumber
+---------+----------------+--------+
| ItemNum | EvidenceNumber | ID |
+---------+----------------+--------+
| 1 | 001 | 8 |
| 1 | 001.A | 8 |
| 1 | 001.A.01 | 8 |
| 1 | 001.A.02 | 8 |
| 1 | 001.B | 8 |
| 1 | 001.C | 8 |
| 1 | 001.D | 8 |
| 1 | 001.E | 8 |
| 1 | 001.F | 8 |
| 1 | 001.G | 8 |
| 1 | 001.G.01 | 8 |
+---------+----------------+--------+
Ideally, it would partition on the items only, so in this case:
+---------+----------------+----+
| ItemNum | EvidenceNumber | ID |
+---------+----------------+----+
| 0 | 001 | 8 |
| 0 | 001.A | 8 |
| 1 | 001.A.01 | 8 |
| 2 | 001.A.02 | 8 |
| 3 | 001.B | 8 |
| 4 | 001.C | 8 |
| 5 | 001.D | 8 |
| 6 | 001.E | 8 |
| 7 | 001.F | 8 |
| 0 | 001.G | 8 |
| 8 | 001.G.01 | 8 |
+---------+----------------+----+
I don't think window functions alone are the best approach. Instead:
select t.*,
(case when exists (select 1
from evidence t2
where t2.caseid = t.caseid and
t2.EvidenceNumber like t.EvidenceNumber + '.%'
)
then 0 else 1
end) as is_item
from evidence t ;
Then sum these up using another subquery:
select t.*,
sum(is_item) over (partition by caseid order by EvidenceNumber) as item_counter
from (select t.*,
(case when exists (select 1
from evidence t2
where t2.caseid = t.caseid and
t2.EvidenceNumber like t.EvidenceNumber + '.%'
)
then 0 else 1
end) as is_item
from evidence t
) t;
trick with Lead and Row_Number:
DECLARE #Table TABLE (
EvidenceNumber varchar(64),
Id int
)
INSERT INTO #Table VALUES
('001',8),
('001.A',8),
('001.A.01',8),
('001.A.02',8),
('001.B',8),
('001.C',8),
('001.D',8),
('001.E',8),
('001.F',8),
('001.G',8),
('001.G.01',8);
WITH CTE AS (
SELECT
[IsBag] = PATINDEX(EvidenceNumber+'%',
IsNull(LEAD(EvidenceNumber) OVER (ORDER BY EvidenceNumber),0)
),
[EvidenceNumber],
[Id]
FROM
#Table
)
SELECT
[NumItem] = IIF(IsBag = 0,ROW_NUMBER() OVER (PARTITION BY [ISBag] order by [IsBag]),0),
[EvidenceNumber],
[Id]
FROM
CTE
ORDER BY EvidenceNumber
I have a table be like:
| Date | Week | Name | No | Count |
|-----------|------|--------|----|-------|
| 2019/4/1 | 14 | John | 1 | 1 |
| 2019/4/1 | 14 | Mary | 2 | 1 |
| 2019/4/9 | 15 | Kevin | 3 | 2 |
| 2019/4/9 | 15 | John | 4 | 1 |
| 2019/4/9 | 15 | Jessie | 5 | 1 |
| 2019/4/18 | 16 | Kevin | 6 | 1 |
| 2019/4/18 | 16 | John | 7 | 1 |
| 2019/4/18 | 16 | Jessie | 8 | 2 |
| 2019/4/18 | 16 | Mary | 9 | 3 |
| 2019/4/18 | 16 | Mary | 10 | 1 |
| 2019/4/18 | 16 | Jessie | 11 | 1 |
| 2019/4/24 | 17 | Mary | 12 | 1 |
| 2019/4/24 | 17 | Jessie | 13 | 1 |
What I want to do is to calculate people's total count per Week.
And sort by their total count.
I know GROUP BY can make this happen, I've tried, but just can't figure it out.
This is what I expect:
| Name | 14 | 15 | 16 | 17 | Total |
|--------|----|----|----|----|-------|
| Mary | 1 | 0 | 4 | 1 | 6 |
| Jessie | 0 | 1 | 3 | 1 | 5 |
| John | 1 | 1 | 1 | 0 | 3 |
| Kevin | 0 | 2 | 1 | 0 | 3 |
| Total | 2 | 4 | 9 | 2 | 17 |
How can I do?
Select [Name]
,sum(case when [Week] = 14 then [Count] else 0 end) as Week14
,sum(case when [Week] = 15 then [Count] else 0 end) as Week15
,sum(case when [Week] = 16 then [Count] else 0 end) as Week16
,sum(case when [Week] = 17 then [Count] else 0 end) as Week17
,sum([Count]) as Total
from [table]
group by [Name]
order by Total
I'm not sure which version of DB2 you're using (LUW/zOS/i) so this is a general answer. The week number can be made to be more flexible but a certain amount of hard coding will need to be done for the number of weeks.
I am trying to update an existing table with an individual count of the record on each row in a count column.
The table has the following columns that need to be incremented:
MBR_NO, CLAIM_N0, Effective_Dt, incr_count
So a sample might look like this before the run:
MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
-------+----------+----------------+------------+
1 | 2 | 1/1/2015 | NULL |
1 | 4 | 5/5/2015 | NULL |
1 | 5 | 6/7/2016 | NULL |
1 | 7 | 8/7/2016 | NULL |
2 | 2 | 4/3/2015 | NULL |
2 | 5 | 5/21/2015 | NULL |
3 | 8 | 3/27/2015 | NULL |
I want to count by MBR_NO and update the Incr_count to look like this:
MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
-------+----------+----------------+------------+
1 | 2 | 1/1/2015 | 1 |
1 | 4 | 5/5/2015 | 2 |
1 | 5 | 6/7/2016 | 3 |
1 | 7 | 8/7/2016 | 4 |
2 | 2 | 4/3/2015 | 1 |
2 | 5 | 5/21/2015 | 2 |
3 | 8 | 3/27/2015 | 1 |
I need to change that filed for processing later on.
I know this is not that complex but It seemed that the other topics offered solutions that don't incrementally update. Any help would be appreciated.
You could just do this in a query with
ROW_NUMBER() OVER (PARTITION BY MBR_NO ORDER BY Effective_DT).
but does it matter if the number changes? i.e. in your example if you had
MBR_NO EffectiveDate RowNumber
------------------------------------
2 1/1/2017 1
2 5/1/2017 2
but if you inserted a row with an effective date of say 3/1/2017 it would change the row number for the 5/1/2017 row i.e.
MBR_NO EffectiveDate RowNumber
------------------------------------
2 1/1/2017 1
2 3/1/2017 2
2 5/1/2017 3
You can query as below:
Select MBR_NO, CLAIM_N0, Effective_Dt,
incr_count = count(MBR_NO) over(Partition by MBR_NO order by Effective_Dt)
from yourtable
Output as below:
+--------+----------+--------------+------------+
| MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
+--------+----------+--------------+------------+
| 1 | 2 | 2015-01-01 | 1 |
| 1 | 4 | 2015-05-05 | 2 |
| 1 | 5 | 2016-06-07 | 3 |
| 1 | 7 | 2016-08-07 | 4 |
| 2 | 2 | 2015-04-03 | 1 |
| 2 | 5 | 2015-05-21 | 2 |
| 3 | 8 | 2015-03-27 | 1 |
+--------+----------+--------------+------------+
I have a problem on sql server.
How to get running number from foreign key in one time select data from table?
example :
I have one table such as
-----------------
| id | pid | desc |
-----------------
| 1 | 1 | a |
| 2 | 1 | b |
| 3 | 1 | c |
| 4 | 2 | d |
| 5 | 2 | e |
| 6 | 2 | f |
| 7 | 2 | g |
| 8 | 3 | h |
| 9 | 3 | i |
| 10 | 1 | j |
| 11 | 1 | k |
-----------------
I want to get result as below
------------------------
| id | pid | desc | rec |
------------------------
| 1 | 1 | a | 1 |
| 2 | 1 | b | 2 |
| 3 | 1 | c | 3 |
| 4 | 2 | d | 1 |
| 5 | 2 | e | 2 |
| 6 | 2 | f | 3 |
| 7 | 2 | g | 4 |
| 8 | 3 | h | 1 |
| 9 | 3 | i | 2 |
| 10 | 1 | j | 4 |
| 11 | 1 | K | 5 |
------------------------
In above tables foreign key ('pid') Column has values 1 to 3 in different row numbers.
I tried to get the running number from each 'pid' field name.
I havn't found any way to do this,
Can I do that? Can some one help me? am still newbie at sql server
Try this
SELECT
id,
pid,
[desc],
Row_Number() OVER (PARTITION BY pid ORDER BY id) AS rec
FROM <yourtable>
ORDER BY id
You can use Ranking function in SQL Server 2005+ to accomplish that,
So here is your query
Select Row_Number() over (partition by pid order by id) as rec , * from Table