Transact SQL :: Query To Reflect Differences Instead Of Balances?

Oct 12, 2015

Got a table as:
   Report_Date [Date/Time]
   Customer_ID [nvarchar(50)],
   Manager [nvarchar(50)]
   Amount [Decimal(18,2)]

In this regard need to show the recoveries made by each Manager from their relevant customers? In other words, instead of the customer-wise balances  need to show the difference between the balances comparing the dates. The dates are in month-end formats.For example, if Customer A has a record of $10,000 as on January 10, 2015 and the same has two entries on February 28, 2015 with balances of $4,000 and $4,000, instead of balances, need to show ($2,000). Similarly, in case of March 31, 2015 reflecting three entries amounting to $3,000 each, need to reflect a positive amount of $1,000. And where the same customer has no entry on April 30, 2015, need to reflect a negative amount of $9,000.These entries thereafter being grouped on Manager level.

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Pls Help W/ A Query To Return Running Balances From The Previous Rolling 3 Month Period.

Oct 18, 2007

Please refer to this table in this discussion:






Charges

Date


1

1/1/07


2

2/1/07


3

3/1/07


4

4/1/07


5

5/1/07


6

6/1/07


7

7/1/07


8

8/1/07


9

9/1/07


10

10/1/07


11

11/1/07


12

12/1/07
What i'm trying to do is return a result with total charges from 3 months previous based on a date parameter or just as a whole for that matter. For example:

If my date parameter is 6/14/07, i'd like my total charges to be 15 (6+5+4).
If my date parameter is 7/10/07, the charges would be 18 (7+6+5)

I hope that makes sense of where i'm going with this. I've played with this using the "Guru's Guide" solution by Ken Henderson, but still to no avail yet. Here's his code syntax:





Code Block

SELECT a.DayCount, a.Sales, SUM(b.Sales)
FROM Sales a CROSS JOIN Sales b
WHERE (b.DayCount <= a.DayCount) AS RunningTotal
GROUP BY a.DayCount,a.Sales
ORDER BY a.DayCount,a.Sales
Here is the result set i'm looking for:






Charges

Date


1

1/1/07


2

2/1/07


6

3/1/07


9

4/1/07


12

5/1/07


15

6/1/07


18

7/1/07


21

8/1/07


24

9/1/07


27

10/1/07


30

11/1/07


33

12/1/07
Each date's charges are a culmination of 3 months worth of charges.

Any help would be greatly appreciated. I'll be trying to figure this one out concurrently and if i do, i'll post back!

Thanks in advance!

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Hi Guys,

I hope someone can help, I usually just need to do simple queries, and am fine with that, but this is a bit over my head without a few pointers in the right direction.

I have a table that stores log results from pieces of hardware that contact an internet server periodically.

For simplification, this contains:

LogID
SystemID
DeviceID
ContactDateTime
Notes

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Hi, I am pretty new to Analysis Services and I have come across a small problem to do with point in time balances, I guess that this is similar shiver72's post titled 'Date Range Problem'. I am not really after a solution as such (although that would be great :-), more interested in a pointer to some resource(s) which I can read up on myself.

Here is the scenario:

A student enrols into a course that has a start and finish date. This enrolment has a certain value based upon its length, the course type etc which means that each
enrolment's 'value' can vary at any time between the start and finish dates.

For example a student may enrol in a full year basket weaving course with a value of 0.0500, they then enrol in a part year course titled 'Dimensional Modelling 101' with a value of 1.000

...and their enrolments would look like this...

01-JAN-2005 31-DEC-2005 0.0500
02-JAN-2005 15-JUN-2005 1.0000

The client wishes to know at any point in time the 'value' of their enrolments. These values can vary due to a student starting or finishing their enrolment, withdrawing, having their
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Now, in the Data Warehouse Toolkit it mentions point in time balances in the 'Financial Services' section but it uses SQL to prove the point which is no use to me because I am using MS Analysis Services to dynamically create the result.

As it says in the book its no use creating a row in the fact table to represent the value for each day that the enrolment is in effect because with 400,000 enrolments that works out to over 140 million rows. The alternative is to create one row for each occurence of the variation in the value of the enrolment and then the facts would be completely additive and useful.

I would be looking at using something similar to the following:

fact table
----------
fkdate
value
fksudent
fkcourse
<possibly some degenerate measure like the UID of the course enrolment held in the source system>

dimensions
----------
Student - and of course a whole heap of related dimensions like gender, age, ethnicity etc
Course

For example given the above information the fact table would look like this:

(Student UID is 2005123, course UIDs are 1000 and 1001)

20050101 0.0500 2005123 1000
20050102 1.0000 2005123 1001
20050615 -1.0000 2005123 1001
20051231 -0.0500 2005123 1000

That way I can run a query at, say 15-JUN-2005 and sum the values and it will come out with the correct balance - and yes I know that this idea is straight out of the book :-)

OK, if you've read to this point then I take it that you are an extremely patient person and therefore will forgive my next question.

My question is this, my clients use simple tools like Excel pivot tables to gouge the information they want out of the warehouse, sure, I can write an MDX query to get a point in time balance (just as soon as I learn a bit more about it) but is there _any_ way/means/algorithm/trick/way to hold your head to one side, that I can use so that they can still just 'drag and drop' using the pivot table service as opposed to having to me having to create an MDX-based report for them ?

cheers

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Date
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Value

DTV
PROD 1
2014-11-02
New Sales
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DTV
PROD 1
2014-11-02
Upgrades
1

[code]....

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Package
Movement
September
October
November

DTV
PROD 1
OPEN
600
676
776

DTV
PROD 1
New Sales
92
106
88

[code]....

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How does one typically capture this type of thing in SQL?

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(
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string columnValue = aRow[0][columnName].ToString();
object cValue = aRow[0][columnName];


if (columnName.Remove(1) == "T" && !string.IsNullOrEmpty(columnValue))
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}

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Table struct (table1 and table2):
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phonenumber2 (combined areacode + phonenumber) (actual column)
------------------------------------------------------------

select x.areacode, x.phonenumber from table1 as x
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as promised:


--sp_addlinkedserver @server = '____________'
--sp_addlinkedserver @server = '____________'
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--sp_addlinkedserver
-- '____________',
-- 'Oracle',
-- 'MSDAORA',
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, ( Select a.name as TabName, b.name as ColName, b.length, c.name as DataType, a.refdate
from ____________.dbname.dbo.sysobjects a, ____________.dbname.dbo.syscolumns b, ____________.dbname.dbo.systypes c
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and b.xusertype = c.xusertype
and a.xtype = 'U'
and a.name like 'TBL%'
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Select 1
from ____________.dbname.dbo.sysobjects d, ____________.dbname.dbo.syscolumns e
where d.id = e.id
and a.xtype = 'U'
and a.name like 'TBL%'
and a.name = d.name
and b.name = e.name)
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/* Column Differences */
Select 'Column in Company2 not in Company1.com'

Select Left(a.name,30) as TableName, Left(b.name,30) as ColumnName, b.length, c.name, a.refdate
from ____________.dbname.dbo.sysobjects a, ____________.dbname.dbo.syscolumns b, ____________.dbname.dbo.systypes c
where a.id = b.id
and b.xusertype = c.xusertype
and a.xtype = 'U'
and a.name like 'TBL%'
and Not Exists (
Select 1
from sysobjects d, syscolumns e
where d.id = e.id
and a.xtype = 'U'
and a.name like 'TBL%'
and a.name = d.name
and b.name = e.name)
Order by 1, 2





--Select 'Table Objects that are still in use in both Company2 and Company1'
--select Left(a.name,30), a.refdate from sysobjects a, ____________.dbname.dbo.sysobjects b
--where a.name = b.name and a.xtype = 'U'







Brett

8-)

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Calculate Differences Between Two Dates

Sep 9, 2014

How can we calculate the difference between two dates (years, months and days)

example:

between '01 / 01/2011 'and '05 / 04/2014' I would have years, months and days

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Values Differences Between Days?

Jan 22, 2015

I have a SQL Server 2005 table titled "Journeys" as follows:

+---------------+
| Journeys |
+---------------+
| JourneyID |
| PlateNumber |
| DepartureDate |
| DepartureKM |
| ArrivalDate |
| ArrivalKM |
+---------------+

The table contains the following sample data:

+------------+--------------+----------------+--------------+--------------+-----------+
| JOURNEYID | PLATENUMBER | DEPARTUREDATE | DEPARTUREKM | ARRIVALDATE | ARRIVALKM |
+------------+--------------+----------------+--------------+--------------+-----------+
| 1 | ABC-123 | 01-01-2015 | 10000 | 01-02-2015 | 10200 |
| 2 | ABC-123 | 01-02-2015 | 10210 | 01-03-2015 | 10500 |
| 3 | ABC-123 | 01-03-2015 | 10500 | 01-04-2015 | 10650 |
| 4 | ABC-123 | 01-04-2015 | 10607 | 01-05-2015 | 10900 |
| 5 | XYZ-999 | 01-15-2015 | 30200 | 01-16-2015 | 30400 |
| 6 | XYZ-999 | 01-16-2015 | 30405 | 01-17-2015 | 30600 |
| 7 | XYZ-999 | 01-17-2015 | 30600 | 01-18-2015 | 30750 |
| 8 | XYZ-999 | 01-18-2015 | 30752 | 01-19-2015 | 30920 |
+------------+--------------+----------------+--------------+--------------+-----------+

I want to generate a query that returns a the following results with an extra column named 'KMDifference' which is the difference between 'ArrivalKM' from last day and 'DepartureKM' from today.

Desired results:

+-------------+---------------+-------------+-------------+-----------+--------------+
| PlateNumber | DepartureDate | DepartureKM | ArrivalDate | ArrivalKM | KMDifference |
+-------------+---------------+-------------+-------------+-----------+--------------+
| ABC-123 | 01-01-2015 | 10000 | 01-02-2015 | 10200 | 0 |
| ABC-123 | 01-02-2015 | 10210 | 01-03-2015 | 10500 | 10 |
| ABC-123 | 01-03-2015 | 10500 | 01-04-2015 | 10650 | 0 |
| ABC-123 | 01-04-2015 | 10607 | 01-05-2015 | 10900 | 7 |
| XYZ-999 | 01-15-2015 | 30200 | 01-16-2015 | 30400 | 0 |
| XYZ-999 | 01-16-2015 | 30405 | 01-17-2015 | 30600 | 5 |
| XYZ-999 | 01-17-2015 | 30600 | 01-18-2015 | 30750 | 0 |
| XYZ-999 | 01-18-2015 | 30752 | 01-19-2015 | 30920 | 2 |
+-------------+---------------+-------------+-------------+-----------+--------------+

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