Problem With Decimal Point

Nov 28, 2006

I have got txt file and I am trying to import this file into the database. For that action I use SQL Server Import and Export Wizard. I use Locale Czech and CodePage 1250. In the text file is the column in that format: 18152.65 - it is number with decimal point. When I use BCP utility for importing data, I use datatype decimal(10,2) and everything is OK. But when I try to use Import and Export Wizard, I choose for that column datatype numeric (DT_NUMERIC - precision 10, scale 2), the Import doesn't start and occurs the error:

- Executing (Error)



Messages

Error 0xc02020a1: Data Flow Task: Data conversion failed. The data conversion for column "PRED_CEL " returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
(SQL Server Import and Export Wizard)

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Hello all,

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If you run this runction and pass in 17.63 it will return 1762!!!

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The SQL books online say the following about the float and real data types:

--------------------------------------------------------
float and real (T-SQL)
Approximate number data types for use with floating point numeric data. Floating point data is approximate; not all values in the data type range can be precisely represented.

Syntax
float[(n)]
Is a floating point number data from - 1.79E + 308 through 1.79E + 308. n is the number of bits used to store the mantissa of the float number in scientific notation and thus dictates the precision and storage size. n must be a value from 1 through 53.


n is Precision Storage size
1-24 7 digits 4 bytes
25-53 15 digits 8 bytes


The Microsoft® SQL Server™ float[(n)] data type conforms to the SQL-92 standard for all values of n from 1 to 53. The synonym for double precision is float(53).

real
Floating point number data from –3.40E + 38 through 3.40E + 38. Storage size is 4 bytes. In SQL Server, the synonym for real is float(24).


--------------------------------------------------------

Apart from the fact that it says 'Approximate number data types' I can't see any difference between the data type apart from the ranges.

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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
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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

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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 ?

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