I have the following SQL Server tables (with sample data):
Questionnaire
id | coachNodeId | youngPersonNodeId | complete
1 | 12 | 678 | 1
2 | 12 | 52 | 1
3 | 30 | 99 | 1
4 | 12 | 678 | 1
5 | 12 | 678 | 1
6 | 30 | 99 | 1
7 | 12 | 52 | 1
8 | 30 | 102 | 1
Answer
id | questionnaireId | score
1 | 1 | 1
2 | 2 | 3
3 | 2 | 2
4 | 2 | 5
5 | 3 | 5
6 | 4 | 5
7 | 4 | 3
8 | 5 | 4
9 | 6 | 1
10 | 6 | 3
11 | 7 | 5
12 | 8 | 5
ContentNode
id | text
12 | Zak
30 | Phil
52 | Jane
99 | Ali
102 | Ed
678 | Chris
I have the following T-SQL query:
SELECT
Questionnaire.id AS questionnaireId,
coachNodeId AS coachNodeId,
coachNode.[text] AS coachName,
youngPersonNodeId AS youngPersonNodeId,
youngPersonNode.[text] AS youngPersonName,
ROW_NUMBER() OVER (PARTITION BY Questionnaire.coachNodeId, Questionnaire.youngPersonNodeId ORDER BY Questionnaire.id) AS questionnaireNumber,
score = (SELECT AVG(score) FROM Answer WHERE Answer.questionnaireId = Questionnaire.id)
FROM
Questionnaire
LEFT JOIN
ContentNode AS coachNode ON Questionnaire.coachNodeId = coachNode.id
LEFT JOIN
ContentNode AS youngPersonNode ON Questionnaire.youngPersonNodeId = youngPersonNode.id
WHERE
(complete = 1)
ORDER BY
coachNodeId, youngPersonNodeId
This query outputs the following example data:
questionnaireId | coachNodeId | coachName | youngPersonNodeId | youngPersonName | questionnaireNumber | score
1 | 12 | Zak | 678 | Chris | 1 | 1
2 | 12 | Zak | 52 | Jane | 1 | 3
3 | 30 | Phil | 99 | Ali | 1 | 5
4 | 12 | Zak | 678 | Chris | 2 | 4
5 | 12 | Zak | 678 | Chris | 3 | 4
6 | 30 | Phil | 99 | Ali | 2 | 2
7 | 12 | Zak | 52 | Jane | 2 | 5
8 | 30 | Phil | 102 | Ed | 1 | 5
To explain what's happening here… There are various coaches whose job is to undertake questionnaires with various young people, and log the scores. A coach might, at a later date, repeat the questionnaire with the same young person several times, hoping that they get a better score. The ultimate goal of what I'm trying to achieve is that the managers of the coaches want to see how well the coaches are performing, so they'd like to see whether the scores for the questionnaires tend to go up or not. The window function represents a way to establish how many times the questionnaire has been undertaken by the same coach/young person combo.
I need to be able to determine the average score based on the questionnaire number. So for example, the coach 'Zak' logged scores of '1' and '3' for his first questionnaires (where questionnaireNumber = 1) so the average would be 2. For his second questionnaires (where questionnaireNumber = 2) the scores were '3' and '5' so the average would be 4. So in analysing this data we know that over time Zak's questionnaire scores have improved from an average of '2' the first time to an average of '4' the second time.
I feel like the query needs to be grouped by the coachNodeId and questionnaireNumber values so it would output something like this (I've ommitted the questionnaireId, youngPersonNodeId, youngPersonName and score columns as they aren't crucial for the output — they're only used to derive the averageScore — and wouldn't be useful the way the results are grouped):
coachNodeId | coachName | questionnaireNumber | averageScore
12 | Zak | 1 | 2 (calculation: (1 + 3) / 2)
12 | Zak | 2 | 4 (calculation: (3 + 5) / 2)
12 | Zak | 3 | 4 (only one value: 4)
30 | Phil | 1 | 5 (calculation: (5 + 5) / 2)
30 | Phil | 2 | 2 (only one value: 2)
Could anyone suggest how I can modify my query to output the average scores based on the score from the sub-query and the ROW_NUMBER window function? I've hit the limits of my SQL skills!
Many thanks.
It is a bit hard to tell without sample data, but I think you are describing aggregation:
SELECT q.coachNodeId AS coachNodeId,
cn.[text] AS coachName,
q.youngPersonNodeId AS youngPersonNodeId,
ypn.[text] AS youngPersonName,
AVG(score)
FROM Questionnaire q JOIN
ContentNode cn
ON q.coachNodeId = cn.id JOIN
ContentNode ypn
ON q.youngPersonNodeId = ypn.id LEFT JOIN
Answer a
ON a.questionnaireId = q.id
WHERE complete = 1
GROUP BY q.coachNodeID, cn.[text] AS coachName,
q.youngPersonNodeId, ypn.[text]
I have a table
Id | Aisle | OddEven | Bay | Size | Y-Axis
3 | A1 | Even | 14 | 10 | 100
1 | A1 | Even | 16 | 10 |
6 | A1 | Even | 20 | 10 |
12 | A1 | Even | 26 | 5 | 150
10 | A1 | Even | 28 | 5 |
11 | A1 | Even | 32 | 5 |
2 | A1 | Odd | 13 | 10 | 100
5 | A1 | Odd | 17 | 10 |
4 | A1 | Odd | 19 | 10 |
9 | A1 | Odd | 23 | 5 | 150
7 | A1 | Odd | 25 | 5 |
8 | A1 | Odd | 29 | 5 |
want to look like this
Id | Aisle | OddEven | Bay | Size | Y-Axis
1 | A1 | Even | 14 | 10 | 100
2 | A1 | Even | 16 | 10 | 110
3 | A1 | Even | 20 | 10 | 120
4 | A1 | Even | 26 | 5 | 150
5 | A1 | Even | 28 | 5 | 155
6 | A1 | Even | 32 | 5 | 160
7 | A1 | Odd | 13 | 10 | 100
8 | A1 | Odd | 17 | 10 | 110
9 | A1 | Odd | 19 | 10 | 120
10 | A1 | Odd | 23 | 5 | 150
11 | A1 | Odd | 25 | 5 | 155
12 | A1 | Odd | 29 | 5 | 160
I need a select query and update query. What its doing is there are already some Y-Axis Number been filled (at the start of the Odd/Even) then I need to take the previous row's Y-Axis column's value and adds to the current rows's size which = to current Y-Axis. Needs to keep doing it until it finds another Y-Axis has the value it skips the calculation and next row is using that number.
My thinking process is this:
Id will definitely be used, however, the Id is not sequence as shown my example
so I need to have
ROW_Number OVER (PARTITION BY Aisle,OddEven,Bay Order BY Aisle,OddEven,Bay)
Then some kind of JOIN the same table but the ON is T1.RN = T2.RN - 1
Where I am stuck is but the first row has not previous value it will try to update that value.
Anyone have an idea for SQL Query 2008 for Select and Update will be greatly appreciated! Thanks.
You seem to want a cumulative sum. This would be easier in SQL Server 2012+. You can do this in SQL Server 2008 using outer apply:
select t.*, cume_value
from t outer apply
(select sum(size) + sum(yaxis) as cume_value
from t t2
where t2.aisle = t.aisle and t2.oddeven = t.oddeven and
t2.bay < t.bay
) t2;
A little more difficult on 2008, but I think this is what you are looking for
Declare #Table table (Id int,Aisle varchar(25),OddEven varchar(25),Bay int,Size int,[Y-Axis] int)
Insert Into #Table values
(3,'A1','Even',14,10 ,100),
(1,'A1','Even',16,10 ,0),
(6,'A1','Even',20,10 ,0),
(12,'A1','Even',26,5,150),
(10,'A1','Even',28,5,0),
(11,'A1','Even',32,5,0),
(2,'A1','Odd',13,10 ,100),
(5,'A1','Odd',17,10 ,0),
(4,'A1','Odd',19,10 ,0),
(9,'A1','Odd',23,5,150),
(7,'A1','Odd',25,5,0),
(8,'A1','Odd',29,5,0)
;with cteBase as (
Select *
,IDNew=Row_Number() over (Order By Aisle,Bay)
,RowNr=Row_Number() over (Order By Aisle,OddEven,Bay)
From #Table
)
, cteGroup as (Select TmpRowNr=RowNr,GrpNr=Row_Number() over (Order By RowNr) from cteBase where [Y-Axis]>0)
, cteFinal as (
Select A.*
,GrpNr = (Select max(GrpNr) from cteGroup Where TmpRowNr<=RowNr)
From cteBase A
)
Select ID=Row_Number() over (Order By A.OddEven,A.Bay)
,A.Aisle
,A.OddEven
,A.Bay
,A.Size
,[Y-Axis] = Sum(case when B.[Y-Axis]>0 then B.[Y-Axis] else B.Size end)
From cteFinal A
Join cteFinal B on (B.RowNr<=A.RowNr and A.GrpNr=B.GrpNr)
Group By
A.IDNew
,A.Aisle
,A.OddEven
,A.Bay
,A.Size
Order By A.OddEven,A.Bay
Returns
ID Aisle OddEven Bay Size Y-Axis
1 A1 Even 14 10 100
2 A1 Even 16 10 110
3 A1 Even 20 10 120
4 A1 Even 26 5 150
5 A1 Even 28 5 155
6 A1 Even 32 5 160
7 A1 Odd 13 10 100
8 A1 Odd 17 10 110
9 A1 Odd 19 10 120
10 A1 Odd 23 5 150
11 A1 Odd 25 5 155
12 A1 Odd 29 5 160
I gotta leave my computer so update query should be easy to move on from here.
Below is the select query;
select row_number() over (order by oddeven,bay) id,
Aisle,
OddEven,
Bay,
Size,
max(ISNULL([Y-Axis],0)) over (partition by Aisle, OddEven,Size order by bay)
+ sum(CASE WHEN [Y-Axis] is null THEN Size ELSE 0 END) over (partition by Aisle,OddEven,size order by Bay) as [Y-Axis]
from oddseven
order by id
I searched forum for 1h and didn't find nothing similar.
I have this problem: I want to compare two colums ID and DATE if they are the same in both tables i want to put number from table 2 next to it. But if it is not the same i want to fill yearly quota on the date. I am working in Access.
table1
id|date|state_on_date
1|30.12.2013|23
1|31.12.2013|25
1|1.1.2014|35
1|2.1.2014|12
2|30.12.2013|34
2|31.12.2013|65
2|1.1.2014|43
table2
id|date|year_quantity
1|31.12.2013|100
1|31.12.2014|150
2|31.12.2013|200
2|31.12.2014|300
I want to get:
table 3
id|date|state_on_date|year_quantity
1|30.12.2013|23|100
1|31.12.2013|25|100
1|1.1.2014|35|150
1|2.1.2014|12|150
2|30.12.2013|34|200
2|31.12.2013|65|200
2|1.1.2014|43|300
I tried joins and reading forums but didn't find solution.
Are you looking for this?
SELECT id, date, state_on_date,
(
SELECT TOP 1 year_quantity
FROM table2
WHERE id = t.id
AND date >= t.date
ORDER BY date
) AS year_quantity
FROM table1 t
Output:
| ID | DATE | STATE_ON_DATE | YEAR_QUANTITY |
|----|------------|---------------|---------------|
| 1 | 2013-12-30 | 23 | 100 |
| 1 | 2013-12-31 | 25 | 100 |
| 1 | 2014-01-01 | 35 | 150 |
| 1 | 2014-01-02 | 12 | 150 |
| 2 | 2013-12-30 | 34 | 200 |
| 2 | 2013-12-31 | 65 | 200 |
| 2 | 2014-01-01 | 43 | 300 |
Here is SQLFiddle demo It's for SQL Server but should work just fine in MS Accesss.
I have two tables: ck_startup and ck_price. The price table contains the columns cu_type, prd_type, part_cd, qty, and dllrs. The startup table is linked to the price table through a one-to-many relationship on ck_startup.prd_type_cd = ck_price.prd_type.
The price table contains multiple entries for the same product/part/qty but under different customer types. Not all customer types have the same unique combination of those three values. I'm trying to create a query that will do two things:
Join some columns from ck_startup onto ck_price (description, and some additional values).
Join ck_price onto itself with a dllrs column for each customer type. So in total I would only have one instance of each unique key of product/part/qty, and a value in each customer's price column if they have one.
I've never worked with self joining tables, and so far I can only get records to show up where both customers have the same options available.
And because someone is going to demand I post sample code, here's the crappy query that doesn't show missing prices:
select pa.*, pac.dllrs from ck_price pa
join ck_price pac on pa.prd_type = pac.prd_type and pa.part_carbon_cd = pac.part_carbon_cd and pa.qty = pac.qty
where pa.cu_type = 'A' and pac.cu_type = 'AC';
EDIT: Here's sample data from the two tables, and how I want them to look when I'm done:
CK_STARTUP
+-----+-----------------+-------------+
| CD | DSC | PRD_TYPE_CD |
+-----+-----------------+-------------+
| 3D | Stuff | SKD3 |
| DC | Different stuff | SKD |
| DN2 | Similar stuff | SKD |
+-----+-----------------+-------------+
CK_PRICE
+---------+-------------+---------+-----+-------+
| CU_TYPE | PRD_TYPE_CD | PART_CD | QTY | DLLRS |
+---------+-------------+---------+-----+-------+
| A | SKD3 | 1 | 100 | 10 |
| A | SKD3 | 1 | 200 | 20 |
| A | SKD3 | 1 | 300 | 30 |
| A | SKD | 1 | 100 | 50 |
| A | SKD | 1 | 200 | 100 |
| AC | SKD3 | 1 | 300 | 30 |
| AC | SKD | 1 | 100 | 100 |
| AC | SKD | 1 | 200 | 200 |
| AC | SKD | 1 | 300 | 300 |
| AC | SKD | 1 | 400 | 400 |
+---------+-------------+---------+-----+-------+
COMBO:
+----+-----------------+---------+-----+---------+----------+
| CD | DSC | PART_CD | QTY | DLLRS_A | DLLRS_AC |
+----+-----------------+---------+-----+---------+----------+
| 3D | Stuff | 1 | 100 | 10 | null |
| 3D | Stuff | 1 | 200 | 20 | null |
| 3D | Stuff | 1 | 300 | 30 | 60 |
| DC | Different stuff | 1 | 100 | 50 | 100 |
| DC | Different stuff | 1 | 200 | 100 | 200 |
| DC | Different stuff | 1 | 300 | null | 300 |
| DC | Different stuff | 1 | 400 | null | 400 |
+----+-----------------+---------+-----+---------+----------+
Ok, take a look at below query and at the results:
SELECT *
FROM (SELECT
cs.cd, cs.dsc, cp.part_cd, cp.qty, cp.dllrs, cp.cu_type
FROM ck_startup cs
JOIN ck_price cp ON (cs.prd_type_cd = cp.prd_type_cd))
PIVOT (SUM(dllrs) AS dlllrs FOR (cu_type) IN ('A' AS a, 'AC' AS ac))
ORDER BY cd, qty
;
Output:
CD DSC PART_CD QTY A_DLLLRS AC_DLLLRS
-------- ----------------- ---------- ------- ---------- ----------
3D Stuff 1 100 10
3D Stuff 1 200 20
3D Stuff 1 300 30 30
DC Different stuff 1 100 50 50
DC Different stuff 1 200 100 100
DC Different stuff 1 300 150
DC Different stuff 1 400 200
DN2 Similar stuff 1 100 50 50
DN2 Similar stuff 1 200 100 100
DN2 Similar stuff 1 300 150
DN2 Similar stuff 1 400 200
It is not what you would expect, because I do not understand why you have different values in DLLRS_AC column that are in the CK_PRICE table? I mean, for example, why do you have 400 in last line of your output, not 200? Why is this value doubled (as others are in DLLRS_AC column)?
If you are using Oracle 10g, you can achieve the same result using DECODE and GROUP BY, take a look:
SELECT
cd,
dsc,
part_cd,
qty,
SUM(DECODE(cu_type, 'A', dllrs, NULL)) AS dllrs_a,
SUM(DECODE(cu_type, 'AC', dllrs, NULL)) AS dllrs_ac
FROM (
SELECT
cs.cd, cs.dsc, cp.part_cd, cp.qty, cp.dllrs, cp.cu_type
FROM ck_startup cs
JOIN ck_price cp ON (cs.prd_type_cd = cp.prd_type_cd)
)
GROUP BY cd, dsc, part_cd, qty
ORDER BY cd, qty;
Result is the same.
If you want to read more about pivoting, I recommend article by Tim Hall: Pivot and Unpivot at Oracle Base
I have wasted my 2 whole days to trying to resolve this issue, Now I am going out of my mind, I need an urgent Help,
The Issue is,
I Have To Tables
Table: Sales, SalesId is primary key
---------------------------------------------------
SalesId | SalesDate | Customer| Discount | Remarks
---------------------------------------------------
1 | 01/01/2012| John | 15 | NULL
2 | 01/01/2012| Peter | 25 | NULL
3 | 01/01/2012| Micheal | 35 | NULL
Table: SalesBody, SerialNo is primary key and SalesId is foreign key
---------------------------------------------------
SerialNo | SalesId | Product | Quantity | Rate
---------------------------------------------------
10 | 1 | Pencil | 18 | 20
11 | 1 | pen | 200 | 60
12 | 1 | Rubber | 150 | 10
13 | 1 | Paper | 500 | 2
14 | 2 | Mouse | 15 | 190
15 | 2 | KeyBoard | 10 | 600
16 | 2 | Monitor | 5 | 2000
17 | 3 | Mobile | 2 | 15000
Now I want to make a query which can make the result like following
----------------------------------------------------------------------------
SalesId | SalesDate | Details | Amount
----------------------------------------------------------------------------
1 | 01/01/2012 | Sold: Pencil x 18 # 20, Pen x 200 # 60| xxxxxxx
| | Rubber x 150 # 10, Paper x 500 # 2 |
2 | 01/01/2012 | Sold: Mouse x 15 # 190, Keyboard x 10 |
| | # 600, Monitor x 5 # 2000 | xxxxxxx
3 | 01/01/2012 | Sold: Mobile x 2 # 15000 | xxxxxxx
I have tried different techniques eg. Coalesce, Stuff, For XML PATH('')
I could not Concatenate the Detail String.
As far as I can see you just need to pivot the SalesBody table and group by SalesID
Something along the lines of the below query should do the trick
select sb.SalesId, ( SELECT ', ' + sb2.Product + ' x ' + sb2.Quantity + ' # ' + sb2.Rate
FROM SalesBody sb2
WHERE sb2.SalesId = sb.SalesId
FOR XML PATH('') ) AS Details
from SalesBody sb
group by sb.SalesId
Then just join that query with your Sales table to get the other data and do a STUFF command on Details in the query above to remove the leading "," and add your "sold: " string and you should be all good to go.