I have build a SSIS Package with FlatfileImport(csv)---DataConversion---Lookup Transformation---OLDDBDestination. This package has erros between DataConversion and SearchTransformation.
After the csv import I try to convert a csv field into decimal because in the DB the field has the format decimal but when I make a connection in the Look up Transformation from csv table to db table, I get an error with datatype is different.
Any idea what the problem is?
Make sure that the SSIS data types of both columns used in the lookup match. The data type resulting from the decimal conversion should be DT_NUMERIC, which corresponds to the SQL Server decimal data type as stated in the mapping chart of the documentation. To verify that the data type of the input column used in the mapping to match in the lookup is also DT_NUMERIC right-click the Lookup and select Show Advanced Editor. After this go to the Input and Output Properties tab, then the Lookup Input node, expand the Input Columns folder below that and highlight the column used in the lookup. The Common Properties window on the right will show the data type. If this is not DT_NUMERIC change the lookup to use a SQL query instead and cast this column as a decimal (SQL Server) data type with a SQL command, then verify that it is now DT_NUMERIC in the Advanced Editor. I'm assuming the Lookup is to a SQL Server database, if not see the other columns in the data mapping chart of the SSIS reference above. You will also want to ensure that the scale and precision is the same for both columns used in the Lookup, which can be viewed on the Advanced editor of the Lookup as well. For the Data Conversion Task, this can be found either on the regular editor or Advanced Editor by going to Input and Output Properties > Data Conversion Output > Output Columns > then select the converted column.
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I'm trying to add a new custom field to the Customer page. The field is a "comment" field with formatted text in it. I know I'll have to use the PXRichTextEdit in my page and I need to add a SQL column of type TEXT, not VARCHAR.
My problem is that when I try to add a custom column in the table, the list of data types is this :
By the way, I tried selecting "string" but this creates a column with the type VARCHAR and I get errors about truncating data when trying to save something in my column.
I successfully did it by creating manually the column in my SQL Server database (with SSMS), but I really don't want to do that when deploying in the production environment. I would prefer to have it in my personalisation package.
Is there a way to have it in the project ? Am I missing something obvious ?
The limitation I have comes from the PXRichTextEdit. It needs an SQL column with a maximum size limit. The solution I found is to create a string column in the customization screen. Although the size is limited to 4000 characters, I created a database script to change the column size to max. With this, I don't have the error about truncating data and the SQL column is of type varchar.
I am trying to import "Financial data" from Excel files in to sql table. Problem I am facing is that My ssis package is incrementing decimal values. e.g -(175.20) from Excel is being loaded as "-175.20000000000005" in SQL.
I am using nVArChar (20) in destination SQL table. Images attached. What's the best data type in destination table. I have done a lot of reading and people seem to suggest decimal data but Package throws error for Decimal data type.Need help please.
Ended up changing the Data type to "Currency" in my SQL destination. Then added a data conversion task to change "DT_R8" data type from excel source to "currency[DT_CY]. This resolved the issue. could have used decimal or Numeric (16,2)data type in my destination as well but then i just went ahead with currency and it worked.
You could use a Derived Column Transformation in your Data Flow Task, with an expression like ROUND([GM],2) (you might need to replace GM with whatever your actual column name is).
You can then go to the Advanced Editor of the Derived Column Transformation and set the data type to decimal with a Scale of 2 on the 'Input and Output Properties' tab (look under 'Derived Column Output').
You'll then be able to use a decimal data type in your SQL Server table.
I have quite a few tables and I'm using SSIS to bring the data from Oracle to SQL Server, in the process I'd like to convert all varchar fields to nvarchar. I know I can use the Data Conversion transformer but it seems the only way to do this is to set each field one by one, then I'll have to manually set the mapping in the destination component to map to the "Copy of" field. I've got thousands of fields and it would be tedious to set it on each one... is there a way to say "if field is DT_STR convert to DT_WSTR"?
what you can do is, instead of replacing varchar with nvarchar manually before running the script is copy and save all the create table scripts generated by SSIS to a document. Then you can do a global replace nvarchar x varchar in the document.
Use then the amended script as a step in your SSIS package to create the tables before populating them with the data from Oracle.
The proper way is to use the data conversion step...
That said, it appears if you disable external meta data validation in SSIS, you can bypass this error. SQL will then use an implicit conversion to the destination type.
See this SO post for a quick explanation.
Every time that I try to import an Excel file into SQL Server I'm getting a particular error. When I try to edit the mappings the default value for all numerical fields is float. None of the fields in my table have decimals in them and they aren't a money data type. They're only 8 digit numbers. However, since I don't want my primary key stored as a float when it's an int, how can I fix this? It gives me a truncation error of some sort, I'll post a screen cap if needed. Is this a common problem?
It should be noted that I cannot import Excel 2007 files (I think I've found the remedy to this), but even when I try to import .xls files every value that contains numerals is automatically imported as a float and when I try to change it I get an error.
http://imgur.com/4204g
SSIS doesn't implicitly convert data types, so you need to do it explicitly. The Excel connection manager can only handle a few data types and it tries to make a best guess based on the first few rows of the file. This is fully documented in the SSIS documentation.
You have several options:
Change your destination data type to float
Load to a 'staging' table with data type float using the Import Wizard and then INSERT into the real destination table using CAST or CONVERT to convert the data
Create an SSIS package and use the Data Conversion transformation to convert the data
You might also want to note the comments in the Import Wizard documentation about data type mappings.
Going off of what Derloopkat said, which still can fail on conversion (no offense Derloopkat) because Excel is terrible at this:
Paste from excel into Notepad and save as normal (.txt file).
From within excel, open said .txt file.
Select next as it is obviously tab delimited.
Select "none" for text qualifier, then next again.
Select the first row, hold shift, select the last row, and select the text radial button. Click Finish
It will open, check it to make sure it's accurate and then save as an excel file.
There is a workaround.
Import excel sheet with numbers as float (default).
After importing, Goto Table-Design
Change DataType of the column from Float to Int or Bigint
Save Changes
Change DataType of the column from Bigint to any Text Type (Varchar, nvarchar, text, ntext etc)
Save Changes.
That's it.
When Excel finds mixed data types in same column it guesses what is the right format for the column (the majority of the values determines the type of the column) and dismisses all other values by inserting NULLs. But Excel does it far badly (e.g. if a column is considered text and Excel finds a number then decides that the number is a mistake and insert a NULL instead, or if some cells containing numbers are "text" formatted, one may get NULL values into an integer column of the database).
Solution:
Create a new excel sheet with the name of the columns in the first row
Format the columns as text
Paste the rows without format (use CVS format or copy/paste in Notepad to get only text)
Note that formatting the columns on an existing Excel sheet is not enough.
There seems to be a really easy solution when dealing with data type issues.
Basically, at the end of Excel connection string, add ;IMEX=1;"
Provider=Microsoft.Jet.OLEDB.4.0;Data Source=\\YOURSERVER\shared\Client Projects\FOLDER\Data\FILE.xls;Extended Properties="EXCEL 8.0;HDR=YES;IMEX=1";
This will resolve data type issues such as columns where values are mixed with text and numbers.
To get to connection property, right click on Excel connection manager below control flow and hit properties. It'll be to the right under solution explorer. Hope that helps.
To avoid float type field in a simple way:
Open your excel sheet..
Insert blank row after header row and type (any text) in all cells.
Mouse Right-Click on the head of the columns that cause a float issue and select (Format Cells), then choose the category (Text) and press OK.
And then export the excel sheet to your SQL server.
This simple way worked with me.
A workaround to consider in a pinch:
save a copy of the excel file, modify the column to format type 'text'
copy the column values and paste to a text editor, save the file (call it tmp.txt).
modify the data in the text file to start and end with a character so that the SQL Server import mechanism will recognize as text. If you have a fancy editor, use included tools. I use awk in cygwin on my windows laptop. For example, I start end end the column value with a single quote, like "$ awk '{print "\x27"$1"\x27"}' ./tmp.txt > ./tmp2.txt"
copy and paste the data from tmp2.txt over top of the necessary column in the excel file, and save the excel file
run the sql server import for your modified excel file... be sure to double check the data type chosen by the importer is not numeric... if it is, repeat the above steps with a different set of characters
The data in the database will have the quotes once the import is done... you can update the data later on to remove the quotes, or use the "replace" function in your read query, such as "replace([dbo].[MyTable].[MyColumn], '''', '')"
I have a flat file which is imported into SQL Server via an existing SSIS package. I need to make a change to the package to accommodate a new field in the flat file. The new field is a date field which is in the format dd-mmm-yy (e.g. 25-AUG-11). The date field in the flat file will either be empty (e.g. a space/whitespace) or populated with a date. I don’t have any control over the date format in the flat file.
I need to import the date field in the flat file into an existing SQL Server table and the target field data type is smalldatetime.
I was proposing to import the date as a string into a load table and then convert to smalldatetime when taking the data from the load table. But is there another possible way to parse the date format dd-mmm-yy to load this straight into a smalldatetime field without having to use convert to smalldatetime from the load table. I can’t quite think how to parse the date format, particularly the month. Any suggestions welcome.
Here is an example that might give you an idea of what you can do. Ideally, in an SSIS package or in any ETL job, you should take into account that data may not be exactly what you would like it to be. You need to take appropriate steps to handle the incorrect or invalid data that might pop up now and then. That's why SSIS comes up with lots of Transformation tasks within Data Flow Task which you can make use of to clean up the data.
In your case, you can make use of Derived Column transformation or Data conversion transformation to achieve your requirements.
The example was created in SSIS 2008 R2. It shows how to read a flat file containing the dates and load into an SQL table.
I created a simple SQL table to import the flat file data.
On the SSIS package, I have a connection manager to SQL and one for Flat file. Flat file connection is configured as shown below.
On the SSIS package, I placed a Data Flow Task on the Control Flow tab. Inside, the Data Flow task, I have a Flat File Source, Derived Column transformation and an OLE DB Destination. Since the Flat file source and OLE DB destination are straightforward, I will leave those out here. The Derived transformation creates a new column with the expression (DT_DBDATE)SmallDate. Note that you can also use Data Conversion transformation to do the same. This new column SmallDateTimeValue should be mapped to the database column in OLE DB Destination.
If you execute this package, it will fail because not all the values in the file are valid.
The reason why it fails in your case is because the invalid data is directly inserted into the table. In your case, the table will throw an exception making the package to fail. In this example, the package fails because the default setting on the Derived column transformation is to fail the component if there is any error. So, let's place a dummy transformation to redirect the error rows. We will Multicast transformation for this purpose. It won't really do anything. Ideally, you should redirect the error rows to another table using OLE DB Destination or other Destination component of your choice so you can analyze the data that causes the errors.
Drag the red arrow from Derived transformation and connect it to the Multicast transformation. This will popup the Configure Error Output dialog. Change the values under the column Error and Truncation from Fail component to Redirect row. This will redirect any error rows to the Multicast transformation and will not get into the tables.
Now, if we execute the package, it will run successfully. Note the number of rows displayed in each direction.
Here is the data that got into the table. Only 2 rows were valid. You can look at the first screenshot that showed the data in the file and you can see only 2 rows were valid.
Hope that gives you an idea to implement your requirement in the SSIS package.
It should load straight into a SMALLDATETIME field as it is. Remember, dates are just numbers in SQL Server, which are presented to the user in the desired date/time format. The SSIS package should read 25-AUG-2011 just fine as a date data type, and insert it into a SMALLDATETIME field without issues.
Was the package throwing an error or something?