I have numeric data with have value 0.546, 0.456 in the database. When I try to export these values to flat file using flat file manager the zero value is truncated and only .546,.456 is shown in the flat file.
The value other than zero doesn't have this problem.
I tried using data conversion but of no use
Try Data Conversion transform - Data Type: decimal [DT-DECIMAL) : Scale 3.
Good find, Prakash!
I'm afraid you'll have to first convert you numeric data to DT_WSTR. It has to be Derived Column transformation, not Data Conversion, because you'd get the same result. In expression you need to prepend converted number with 0. Don't know about negative numbers, but maybe they will have correct format (you need to test it).
floor(decimal_column)==0 ? "0" + (DT_WSTR,10)decimal_column : (DT_WSTR,10)decimal_column
I know that's not what you expected, but I had the same problem the other day and was unable to finde better solution :).
Related
I have to send data from csv into SQL DB.
Problem starts when I try to convert data into Int. It wasnt my idea and I really cant do much with this datatype. When I'm trying to achieve this problem pop up:
Data Conversion 2: Data conversion failed while converting column
"pr_czas" (387) to column "C pr_dCz_id" (14). The conversion returned
status value 2 and status text "The value could not be converted
because of a potential loss of data.".
Tried already to ignore this problem but then another problems came up so there is no other way than solving this.
I have to convert this data from csv file which is str 50 into int 4
It must be int4. One of the requirements Dont know what t odo.
This is data I'm trying to put into int4. Look on pr_czas
This is data's datatype
Before I tried to do same thing with just DD.MM.YYYY but got same result...
Given an input column named [pr_czas] that contain string values that look like 31.01.2020 00:00 which appears to be a formatted date time represented in the format "DD.mm.YYYY HH:MM", I would like to express that as a whole number DDMMYYHHMM
Add a derived column to your data flow and call this new_pr_czas
The logic I'm going to use is a series of REPLACE statements and cast the final result to an integer. Replace the period, replace the colon and the space - all with nothing
(DT_I8)REPLACE(REPLACE(REPLACE([pr_czas], ".", ""), ":", ""), " ", "")
This is an easy case but things to note.
An integer/int32/I4 has a maximum value of 2 billion.
310120200000 is too large to fit into that space so you would need to make that an bigint/int64/I8. If I remember your previous question, you were having troubles with a lookup task so this data type mismatch might hurt you there.
The other thing to be aware of is that leading zeros will be dropped when converted to a number because they are not significant. If you need to retain the leading zeros, then you're working with string data type. This is an advantage to working with the ISO standard but if your data expects DD, then far be it for me to say otherwise.
If you need to slice your date into another format, then you'll want to have a few derived columns. The first one will generate a string column for each piece of pr_czas - year, month, day, hour and minute. You'll use the substring method for this and findstring to find the period space and colon.
The next data flow will be used to put those string pieces back into the new format and cast that to I8. Why? Because you can't debug doing it all in one shot but you can put a data viewer between two derived columns to figure out where a slice went awry.
I have a column from my .csv file coming in with values as 1754625.24 etc,. where as we have to save it as integer in our database. So am trying to split number with '.' and divide second part with 1000 (24/1000) as i want 3 digit number.
so i get 0.024. But i am having issues storing/preserving that value as a decimal.
I tried (DT_DECIMAL,3) conversion but i get result as '0'.
My idea is to then append '024' part to original first part. So my final result should look like 1754625024
Please help
I am not convinced why would you store 1754625.24 as 1754625024 when storing it as int.
But still for your case , we can use a derived column task and
use Replace command on the source column of csv. E.g.
Replace('1754625.24','.',0)
trying to format number (decimal), but it shows me #Error on production server:
=FormatNumber(First(Fields!SumWithMailDelivery.Value, "document"), 0)
but on developers server it works fine.
Maybe someone know, how can i resolve this?
p.s. without formatting it works on production server fine too.
As #IanPreston says, it is most likely a type conversion error. I imagine your production data has some invalid characters for that column or some Null columns that make the numeric conversion fail.
You can use the Val function to do the conversion. Val differs from other numeric conversion functions in that it won't error when the string to be converted isn't numeric - it just does the best job it can.
So try an expression like this for the Value property:
=IIF(Fields!SumWithMailDelivery.Value Is Nothing,
Nothing,
IIF(IsNumeric(Fields!SumWithMailDelivery.Value),
Val(Fields!SumWithMailDelivery.Value),
Fields!SumWithMailDelivery.Value)
)
then use N0 as the Format property to format it as numeric if possible.
This formula will:
Leave the cell as Nothing if the field is Null
Convert to numeric and use the appropriate format if possible
Otherwise just output whatever is in the field
I have a source flat file with values such as 24.209991, but they need to load to SQL Server as type money. In the DTS (which I am converting from), that value comes across as 24.21. How do I convert that field in SSIS?
Right now, I am just changing the type from DT_STR to DT_CY, and it gives a run error of 'Data conversion failed. The data conversion for column "Col003" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".'
Do I use a Data Conversion task? And then what?
I've also tried setting the source output column to DT_NUMERIC, and then convert that to DT_CY, with the same result.
I've also tried using Derived Columns, casting the DT_STR field Col003 to (DT_NUMERIC,10,2)Col003 and then casting that to (DT_CY)Col003_Numeric. That's getting a cast error.
The flat file defaults to all fields being DT_STR. Use the Advanced option on editing the connection to have the numeric field as float (DT_R4). Then, in the advanced editing of the Flat File Source (on the Data Flow tab), set that output column to money (DT_CY).
Then, the field will convert without any additional conversions. The issue was leaving the source file definition as DT_STR.
If you don't have any null value use Data Conversion, and make sure you don't have any funny character (e.g. US$200 produce error)
If you have null or empty fields in your field and you are using Flat file source, make sure that you tick "Return null value from source.."
Another trick I have used is something like: (taxvalue != "" ? taxvalue : NULL(DT_WSTR,50)). in Derived Column transformation (you can just replace the field)
Generally SSIS doesn't convert empty strings to money properly.
For some reason in my scenario, the OLE DB Destination actually was configured to accept a DT_CY. However, casting to this format (no matter the length of the input and destination data, and no matter wether or not the data was NULL when it arrived) always caused the same issue.
After adding data viewers, I can conclude that this has something to do with the locale. Here in Denmark, we use comma (,) as decimal delimiters and dots (.) as thousands-delimiters, instead of the opposite.
This means that a huge number like 382,939,291,293.38 would (after the conversion to DT_CY) look like 382.939.291.293,38. Even though I highly doubted that it could be the issue, I decided to do the opposite of what I originally had intended.
I decided to go to the advanced settings of my OLE DB Destination and change the DT_CY column's type to DT_STR instead. Then, I added a Derived Column transformation, and entered the following expression to transform the column before the data would arrive at the destination.
REPLACE(SUBSTRING(Price, 2, 18), ",", ".") where Price was the column's name.
To my big surprise, this solved the problem, since I figured out that my OLE DB Destination was now sending the data as a string, which the SQL Server understood perfectly fine.
I am certain that this is a bug! I was using SQL Server 2008, so it might have been solved in later editions. However, I find it quite critical that such an essential thing is not working correctly!
So I am currently working on a migration from an old Advantage database server to SQL 2005 using SSIS 2008. One of the columns in the old Advantage database is a MEMO type. By default this translates to a DT_TEXT column. Well in the new database I do not need this large of field, but can limit it to something such as VARCHAR(50). I successfully set up a derived column transformation to convert this with the following expression:
(DT_STR,50,1252)[ColumnName]
Now I want to go a step further and replace all NULL values with an empty string. This would seem easy enough using an ISNULL([ColumnName])?"":(DT_STR,50,1252)[ColumnName] expression, but the problem is that the OLE DB Destination contains the following error
Cannot convert between unicode and non-unicode strings...
So apparently the whole ISNULL expression converts the data type to Unicode string [DT-WSTR]. I have tried a variety of casts upon the whole expression or different parts, but I cannot get the data type to match what I need it.
First, is it possible to convert the DT_TEXT type directly to unicode? From what I can tell, the casts don't work that way. If not, is there a way to get an expression to work so that NULL values get converted to empty strings?
Thank you for all your help!
Give this a try in your derived column.
(DT_STR,50,1252) (ISNULL(ColumnName) ? "" : (DT_STR,50,1252) ColumnName)
It includes an additional type cast with the Conditional (?:) in parentheses to ensure the desired processing sequence. I think your original expression was implicitly casting to DT_WSTR because the "" defaults to DT_WSTR. With this new version, you force the cast to DT_STR after the expression is evaluated.
I figured something out that works. It may not be the best solution, but it will work for my situation.
From my OLE DB source I first did a Derived Column. This I used the ISNULL which ended up converting it to a DT_WSTR unicode type. although I could not get any casts to get it back to the type required, I then added a Data Conversion transformation in-between the Derived Column and the OLE DB Destination. This would take the input string and convert it back to a DT_STR. This all feels a little annoying converting so many times, but the column does not contain any funky information that I should have to worry about, so I suppose it will work.
Thanks for all those who pondered the solution, and if you find some awesome way to tackle it, I would be more than interested.