I have two tables, which I need to get data from table 1 to table 2 by matching customer name & Sale date. In the first table, the name is in two columns but the other table its in one column.
> list(CustomerSales.CSV)
[[1]]
CustomerFirstName CustomerLastName SaleDate_Time InvoiceNo InvoiceValue
1 Hendricks Eric 30-09-2015 13:00 10 5000
2 Fier Marilyn 02-10-2015 15:30 15 18000
3 O'Brien Donna 03-10-2015 13:30 16 25000
4 Perez Barney 03-10-2015 16:10 17 20000
5 Fier Marilyn 04-10-2015 11:10 18 6000
6 Hendricks Eric 05-10-2015 14:00 19 8000
> list(ReturnSales.CSV)
[[1]]
CustomerName SaleDate_Time ReturnDate_Time ReturnNo ReturnValue
1 Hendricks Eric 05-10-2015 14:00 10-10-2015 14:00 1 1000
2 O'Brien Donna 03-10-2015 13:30 15-10-2015 13:30 2 2000
3 Perez Barney 03-10-2015 16:10 12-10-2015 16:10 3 1500
4 Fier Marilyn 02-10-2015 15:30 08-10-2015 15:30 4 2000
The result should be a table like this.
list(ReturnSales.CSV)
[[1]]
CustomerName SaleDate_Time InvoiceNo InvoiceValue ReturnDate_Time ReturnNo ReturnValue
1 Hendricks Eric 05-10-2015 14:00 19 8000 10-10-2015 14:00 1 1000
2 O'Brien Donna 03-10-2015 13:30 16 25000 15-10-2015 13:30 2 2000
3 Perez Barney 03-10-2015 16:10 17 20000 12-10-2015 16:10 3 1500
4 Fier Marilyn 02-10-2015 15:30 15 18000 08-10-2015 15:30 4 2000
Table 2 customer name & SaleDate_Time should be match with table 1 CustomerFirstName, CustomerLastName, & SaleDate_Time. Then combine from table 1, InvoiceNo & InvoiceValue to table 2.
Any suggestions?
Are you looking for SQL Query for the above scenario then you can something like below.
SELECT RS.CustomerName
,CS.SaleDate_Time
,CS.InvoiceNo
,CS.InvoiceValue
,RS.Return_DateTime
,RS.ReturnNo
,RS.ReturnValue
FROM CustomerSales CS
INNER JOIN ReturnSales RS
ON RS.CustomerName = CS.CustomerfirstName + ' ' + Cs.CustomerLastName
WHERE RS.SaleDate_Time = CS.SaleDate_Time
Related
I have the following tables
---SALARY_ITEMS---
PERSONID | EMPLOYMENT _REF | GROUP1 | CODE | FROM | END | QUANTI
000101 XYX 400 11101 2020-02-12 2020-02-12 12
000101 XYX 300 1100 2020-01-29 2020-02-29 1
000102 XYY 450 11111 2020-02-01 2020-02-12 19
000102 XYY 400 11101 2020-02-02 2020-02-12 82
000103 XYA 500 1100 2020-02-10 2020-02-12 11
000104 XYB 700 1100 2020-01-12 2020-02-12 24
---PERSON ---
PERSONID NAME
000101 Carolina
000102 Helen
000103 Jack
000104 Anna
---EMPLOYMENT---
PERSONID EMPLOYMENT _REF POSITION
000101 XYX doctor
000102 XYY nurse
000103 XYA nurse
000104 XYB Proffesor
----absent---
PERSONID CODE2 FROM END
000101 123 2020-03-01 2020-06-30
000102 120 2020-02-05 2020-02-13
000102 123 2020-03-01 2020-03-28
000103 115 2020-05-05 2020-06-30
000104 123 2020-02-01 2020-05-30
What I tried to do: get all employee that they are doctor and nurse and have certain group with certain code and works over 100 hours in a 2020 -Feb.
The following SQL query give me what i want But i want to add something to my query that is :
create a new column to see if the employee was absent in the same period 2020-feb with absent code 120 or 119 or both.
If he was I will get the 'CODE2' ELSE 'NOTHING'.
How can I do this in DB2?
This is the result I need to get:
PERSONID | NAME | POSITION | QUANTITY |ABSENT (this what i want to have)
000102 Helen NURSE 101 120
Query:
SELECT
S.PERSONID, P.NAME,E.POSTION , sum(S.QUANTITY) as QUANTITY
FROM
SALARY_ITEMS S
LEFT JOIN
PERSON P ON S.PERSONID = P.PERSONID
LEFT JOIN
EMPLOYMENT E ON E.EMPLOYMENT_REF = S.EMPLOYMENT _REF
WHERE
S.group1 IN ('400', '440', '450', '470', '640')
AND S.code IN ('11101', '11111', '11121', '11131', '11141')
AND S.from >= '2020-02-01'
AND S.end <= '2020-02-29'
AND E.POSTION IN ('nurse', 'doctor')
AND (SELECT SUM(S2.QUANTITY) AS QUANTITY2
FROM SALARY_ITEMS S2
WHERE S2.group1 IN ('400', '440', '450', '470', '640')
AND S2.code IN ('11101', '11111', '11121', '11131', '11141')
AND S2.from >= '2020-02-01'
AND S2.end <= '2020-02-29'
AND S.PERSONID = S2.PERSONID) >= '100'
GROUP BY
S.PERSONID, P.NAME, E.POSTION
I have an Access query (qr1) that returns the following data:
dateField
stringField1
stringField2
booleanField
11/09/20 17:15
John
Nick
0
12/09/20 17:00
John
Mary
-1
13/09/20 17:30
Ann
John
0
13/09/20 19:30
Kate
Alan
0
19/09/20 19:30
Ann
Missy
0
20/09/20 17:15
Jim
George
0
20/09/20 19:30
John
Nick
0
27/09/20 15:00
John
Mary
-1
27/09/20 17:00
Ann
John
-1
27/09/20 19:30
Kate
Alan
0
28/09/20 18:30
Ann
Missy
-1
03/10/20 18:30
Jim
George
-1
04/10/20 15:00
John
Nick
0
04/10/20 17:15
John
Mary
0
04/10/20 20:45
Ann
John
0
05/10/20 18:30
Kate
Alan
0
17/10/20 15:00
Jim
George
0
17/10/20 17:15
John
Nick
0
18/10/20 15:00
John
Mary
-1
18/10/20 17:15
Ann
John
0
Notes:
The string data may by repetitive or not.
The date data are stored as string. I use a function to convert it as date.
Public Function STR2TIME(sTime As String) As Date
Dim arr() As String
sTime = Replace(sTime, ".", "/")
arr = Split(sTime, " ")
STR2TIME = DateValue(Format(arr(0), "dd/mm/yyyy")) + TimeValue(arr(1))
End Function
qr1 is ORDERED BY STR2TIME(dateField) ASC
Now I need to run an extra query that will do the following:
add an extra column where:
counts records until yes (-1) on
booleanField
after this, starts over counting by 1
In this case the output should look like this:
dateField
stringField1
stringField2
booleanField
countField
11/09/20 17:15
John
Nick
0
1
12/09/20 17:00
John
Mary
-1
2
13/09/20 17:30
Ann
John
0
1
13/09/20 19:30
Kate
Alan
0
2
19/09/20 19:30
Ann
Missy
0
3
20/09/20 17:15
Jim
George
0
4
20/09/20 19:30
John
Nick
0
5
27/09/20 15:00
John
Mary
-1
6
27/09/20 17:00
Ann
John
-1
1
27/09/20 19:30
Kate
Alan
0
1
28/09/20 18:30
Ann
Missy
-1
2
03/10/20 18:30
Jim
George
-1
1
04/10/20 15:00
John
Nick
0
1
04/10/20 17:15
John
Mary
0
2
04/10/20 20:45
Ann
John
0
3
05/10/20 18:30
Kate
Alan
0
4
17/10/20 15:00
Jim
George
0
5
17/10/20 17:15
John
Nick
0
6
18/10/20 15:00
John
Mary
-1
7
18/10/20 17:15
Ann
John
0
1
Problem
I have tried many things all giving wrong numeric results.
Finally I thought that counting the zeros from the current date till the previous (biggest and smaller than the current), would do the trick:
SELECT t.*, (SELECT COUNT(*)
FROM qr1 tt
WHERE booleanField = 0
AND STR2TIME(tt.dateField) >= (SELECT TOP 1 dateField
FROM qr1
WHERE booleanField = -1
AND STR2TIME(dateField) < STR2TIME(t.dateField)
ORDER BY STR2TIME(dateField) DESC
)
AND STR2TIME(tt.dateField) <= STR2TIME(t.dateField)
) AS CountMatches
FROM qr1 t;
but still gives me wrong numeric results on countField:
countField
0
0
1
2
3
4
5
6
1
2
3
1
12
13
14
15
16
17
18
13
What am I doing wrong? I can't get it. How to get the desired result?
EDIT:
I'm posting the final code, based on #Gordon Linoff 's and #Gustav 's answers, slightly simplified.
Explanation of changes:
I got rid of the conversion-function in this step. Instead of converting 7 times * every single record, I convert only once in the first query and here the values are ready to compare.
I omitted checking the zeros as it was not necessary.
I added NZ function to get values when the inner subquery returns NULL. That is when there isn't any yes with smaller date to count from (first records usually).
The only problem left, was that with NZ I got values 1 less than what I needed, so I added -1 to the dateField to count 1 more.
Here is the code:
SELECT t.*, (SELECT COUNT(*) FROM qr2 tt
WHERE tt.dateField <= t.dateField
AND tt.dateField > NZ((SELECT TOP 1 dateField FROM qr2
WHERE booleanField = True
AND dateField < t.dateField
ORDER BY dateField DESC
), tt.dateField - 1)
) AS CountMatches
FROM qr2 AS t;
This is doable, though a little convoluted:
Select
qr1.dateField,
qr1.stringField1,
qr1.stringField2,
qr1.booleanField,
(Select Count(*) From qr1 As t1
Where
(t1.booleanfield = true And t1.dateField = qr1.dateField)
Or
(t1.booleanfield = false And t1.dateField <= qr1.dateField And
t1.dateField >= Nz(
(Select Top 1 dateField From qr1 As t
Where t.dateField < qr1.dateField And t.booleanField = True
Order By t.dateField Desc),
t1.dateField ))) As countField
From
qr1;
Output:
You string converter can be replaced by this expression:
TrueDate = CDate(Replace(TextDotDate, ".", "/"))
This you should apply at a much earlier state, like in qr1.
One obvious problem is:
AND STR2TIME(tt.dateField) >= (SELECT TOP 1 dateField
This should be:
AND STR2TIME(tt.dateField) >= (SELECT TOP 1 STR2TIME(dateFielda)
Second, you have:
WHERE booleanField = 0
But I don't think this filter is appropriate.
I'm working in iMIS CMS (iMIS 200) and trying to create an IQA (an iMIS query, using SQL) that will give me a timetable of slots assigned to people per day (I've got this working); but then I want to be able to filter that timetable on a person's profile so they just see the slots they are assigned to.
(This is for auditions for an orchestra. So people make an application per instrument, then those applications are assigned to audition slots, of which there are several slots per day)
As the start/end times for slots are calculated using SUM OVER, when I filter this query by the person ID, I lose the correct start/end times for slots (as the other slots aren't in the data for it to SUM, I guess!)
Table structure:
tblContacts
===========
ContactID ContactName
---------------------------
1 Steve Jones
2 Clare Philips
3 Bob Smith
4 Helen Winters
5 Graham North
6 Sarah Stuart
tblApplications
===============
AppID FKContactID Instrument
-----------------------------------
1 1 Violin
2 1 Viola
3 2 Cello
4 3 Cello
5 4 Trumpet
6 5 Clarinet
7 5 Horn
8 6 Trumpet
tblAuditionDays
===============
AudDayID AudDayDate AudDayVenue AudDayStart
-------------------------------------------------
1 16-Sep-19 London 10:00
2 17-Sep-19 Manchester 10:00
3 18-Sep-19 Birmingham 13:30
4 19-Sep-19 Leeds 10:00
5 19-Sep-19 Glasgow 11:30
tblAuditionSlots
================
SlotID FKAudDayID SlotOrder SlotType SlotDuration FKAppID
-----------------------------------------------------------------
1 1 1 Audition 20 3
2 1 2 Audition 20 4
3 1 3 Chat 10 3
4 1 5 Chat 10 4
5 1 4 Audition 20
6 2 1 Audition 20 1
7 2 2 Audition 20 6
8 2 4 Chat 10 6
9 2 3 Chat 10 1
10 2 5 Audition 20
11 3 2 Chat 10 8
12 3 1 Audition 20 2
13 3 4 Chat 5 2
14 3 3 Audition 20 8
15 5 1 Audition 30 5
16 5 2 Audition 30 7
17 5 3 Chat 15 7
18 5 4 Chat 15 5
Current SQL for listing all the slots each day (in date/slot order, with the slot timings calculcated correctly) is:
SELECT
[tblAuditionSlots].[SlotOrder] as [Order],
CASE
WHEN
SUM([tblAuditionSlots].[SlotDuration]) OVER (PARTITION BY [tblAuditionDays].[FKAudDayID] ORDER BY [tblAuditionSlots].[SlotOrder] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING) is null
THEN
CONVERT(VARCHAR(5), [tblAuditionDays].[AudDayStart], 108)
ELSE
CONVERT(VARCHAR(5), Dateadd(minute, SUM([tblAuditionSlots].[SlotDuration]) OVER (PARTITION BY [tblAuditionDays].[FKAudDayID] ORDER BY [tblAuditionSlots].[SlotOrder] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING), [tblAuditionDays].[AudDayStart]), 108)
END
+ ' - ' +
CASE
WHEN
SUM([tblAuditionSlots].[SlotDuration]) OVER (PARTITION BY [tblAuditionDays].[FKAudDayID] ORDER BY [tblAuditionSlots].[SlotOrder] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) is null
THEN
CONVERT(VARCHAR(5), [tblAuditionDays].[AudDayStart], 108)
ELSE
CONVERT(VARCHAR(5), Dateadd(minute, SUM([tblAuditionSlots].[SlotDuration]) OVER (PARTITION BY [tblAuditionDays].[FKAudDayID] ORDER BY [tblAuditionSlots].[SlotOrder] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), [tblAuditionDays].[AudDayStart]), 108)
END AS [Slot],
[tblAuditionSlots].[SlotType] AS [Type],
[tblContacts].[ContactName] as [Name],
FROM
tblAuditionSlots
LEFT JOIN tblAuditionDays ON tblAuditionSlots.FKAudDayID = tblAuditionDays.AudDayID
LEFT JOIN tblApplications ON tblAuditionSlots.FKAppID = tblApplications.AppID
LEFT JOIN tblContacts ON tblApplications.FKContactID = tblContacts.ContactID
GROUP BY
[tblAuditionSlots].[SlotOrder],
[tblAuditionSlots].[SlotType],
[tblAuditionSlots].[SlotDuration],
[tblAuditionDays].[AudDayStart],
[tblContacts].[ContactName],
[tblContacts].[ContactID],
[tblAuditionDays].[AudDayID],
[tblAuditionDays].[AudDayDate]
ORDER BY
[tblAuditionDays].[DayDate],
[tblAuditionSlots].[Order]
iMIS, the CMS we're using, is limited by what you can create in an IQA (query).
You can basically insert (some) SQL as a column and give it an alias; you can add (non-calculated) fields to the order by; you can't really control the Group By (whatever fields are added are included in the Group By).
Ultimately, I'd like to be able to filter this by a Contact ID so I can see all their audition slots, but with the times correctly calculated.
From the sample data, for example:
STEVE JONES AUDITIONS
=====================
Date Slot Venue Type Instrument
----------------------------------------------------------------
17-Sep-19 10:00 - 10:20 Manchester Audition Violin
17-Sep-19 10:40 - 10:50 Manchester Chat Violin
18-Sep-19 13:30 - 13:50 Birmingham Audition Viola
18-Sep-19 14:30 - 14:35 Birmingham Chat Viola
HELEN WINTERS AUDITIONS
=======================
Date Slot Venue Type Instrument
----------------------------------------------------------------
19-Sep-19 11:30 - 12:00 Glasgow Audition Trumpet
19-Sep-19 12:45 - 13:00 Glasgow Chat Trumpet
Hopefully that all makes sense and I've provided enough information.
(In this version of iMIS [200], you can't do subqueries, in case that comes up...)
Thanks so much in advance for whatever help/tips/advice you can offer!
Chris
I have three tables in my database Sales, SalesPeople and Appliances.
Sales
SaleDate EmployeeID AppID Qty
---------- ---------- ----- -----------
2010-01-01 1412 150 1
2010-01-05 3231 110 1
2010-01-03 2920 110 2
2010-01-13 1412 100 1
2010-01-25 1235 150 2
2010-01-22 1235 100 2
2010-01-12 2920 150 3
2010-01-14 3231 100 1
2010-01-15 1235 300 1
2010-01-03 2920 200 2
2010-01-31 2920 310 1
2010-01-05 1412 420 1
2010-01-15 3231 400 2
SalesPeople
EmployeeID EmployeeName CommRate BaseSalary SupervisorID
---------- ------------------------------ ----------- ----------- ------------
1235 Linda Smith 15 1200 1412
1412 Anne Green 12 1800 NULL
2920 Charles Brown 10 1150 1412
3231 Harry Purple 18 1700 1412
Appliances
ID AppType StoreID Cost Price
---- -------------------- ------- ------------- -------------
100 Refrigerator 22 150 250
110 Refrigerator 20 175 300
150 Television 27 225 340
200 Microwave Oven 22 120 180
300 Washer 27 200 325
310 Washer 22 280 400
400 Dryer 20 150 220
420 Dryer 22 240 360
How can I obtain this result? (That displays the profitability of each of the salespeople ordered from the most profitable to the least. Gross is simply the sum of the quantity of items sold multiplied by the price. Commission is calculated from the gross minus the cost of those items (i.e. from
qty*(price-cost)). Net profit is the total profit minus commission.)
Name Gross Commission Net Profit
------------- ----- ---------- ---------
Charles Brown 2380 83.5 751.5
Linda Smith 1505 83.25 471.75
Harry Purple 990 65.7 299.3
Anne Green 950 40.2 294.8
My attempt:
CREATE PROC Profitability AS
SELECT
sp.EmployeeName, (sum(s.Qty) * a.Price) as [Gross],
[Gross] - a.Cost, as [Commision],
SOMETHING as [Net Profit]
FROM
Salespeople sp, Appliances a, Sales s
WHERE
s.AppID = a.ID
AND sp.EmployeeID = s.EmployeeID
GROUP BY
sp.EmployeeName
GO
EXEC Profitability
Simple rule: Never use commas in the FROM clause. Always use explicit JOIN syntax.
In addition to fixing the JOIN syntax, your query needs a few other enhancements for the aggregation functions:
SELECT sp.EmployeeName, sum(s.Qty * a.Price) as Gross,
SUM(s.Qty * (a.Price - a.Cost)) * sp.CommRate / 100.0 as Commission,
SUM(s.Qty * (a.Price - a.Cost)) * (1 - sp.CommRate / 100.0) as NetProfit
FROM Sales s JOIN
Salespeople sp
ON sp.EmployeeID = s.EmployeeID JOIN
Appliances a
ON s.AppID = a.ID
GROUP BY sp.EmployeeName sp.CommRate
ORDER BY NetProfit DESC;
Sorry I did post a question similar earlier, but I was not that clear. I have a table with the fields, Customer, ID_Date, Pstng_Date, SUMOfAmount, Days_BetweenMax and days_between Min.
What I want is a query that shows me the date difference between the pstng_date and the ID_Date where the pstng_date is the max value for that customer and another column that shows the same calculation where the pstng_date is the minimum value for that customer. Those customers with only one Pstng_date should display as zero
So the Query should display the results like this:
Customer ID_Date Pstng_Date SumOfAmount Days_BetweenMAX days_betweenMIN
-------- ---------- ---------- ----------- ------------
Holmes 31/01/2014 10/01/2014 $21,545.59 0 0
James 31/01/2014 10/01/2014 -$21,197.89 0 21
James 31/01/2014 5/01/2014 -$7,823.14 0 0
James 31/01/2014 24/01/2014 $308.00 7 0
Rod 31/01/2014 17/01/2014 -$2,603.95 0 0
Lisa 31/01/2014 17/01/2014 $22,019.49 0 0
Assuming that your existing table is called [Postings], you could create a query to calculate the MIN() and MAX() values of [Pstng_Date]
SELECT
Customer,
MIN(Pstng_Date) AS MinOfPstng_Date,
MAX(Pstng_Date) AS MaxOfPstng_Date
FROM Postings
GROUP BY Customer
returning
Customer MinOfPstng_Date MaxOfPstng_Date
-------- --------------- ---------------
Holmes 2014-01-10 2014-01-10
James 2014-01-05 2014-01-24
Lisa 2014-01-17 2014-01-17
Rod 2014-01-17 2014-01-17
Then you could use that as a subquery in the query to calculate the date differences
SELECT
p.Customer,
p.ID_Date,
p.Pstng_Date,
p.SumOfAmount,
IIf(q.MaxOfPstng_Date=q.MinOfPstng_Date,0,IIf(p.Pstng_Date=q.MaxOfPstng_Date,DateDiff("d",p.Pstng_Date,p.ID_Date),0)) AS Days_BetweenMAX,
IIf(q.MaxOfPstng_Date=q.MinOfPstng_Date,0,IIf(p.Pstng_Date=q.MinOfPstng_Date,DateDiff("d",p.Pstng_Date,p.ID_Date),0)) AS Days_BetweenMIN
FROM
Postings AS p
INNER JOIN
(
SELECT
Customer,
MIN(Pstng_Date) AS MinOfPstng_Date,
MAX(Pstng_Date) AS MaxOfPstng_Date
FROM Postings
GROUP BY Customer
) AS q
ON p.Customer = q.Customer
returning
Customer ID_Date Pstng_Date SumOfAmount Days_BetweenMAX Days_BetweenMIN
-------- ---------- ---------- ----------- --------------- ---------------
Holmes 2014-01-31 2014-01-10 21545.59 0 0
James 2014-01-31 2014-01-10 -21197.89 0 0
James 2014-01-31 2014-01-05 -7823.14 0 26
James 2014-01-31 2014-01-24 308.00 7 0
Rod 2014-01-31 2014-01-17 -2603.95 0 0
Lisa 2014-01-31 2014-01-17 22019.49 0 0