I have a business service that brings in a xml virtual document to the production and also a csv service that brings in a csv file and have a process that transforms both to a xml output but I have a problem with the csv as it is giving me this error when I try to trans form it ```ERROR <Ens>ErrException: <PROPERTY DOES NOT EXIST>zOnRequest+1 ^EnsLib.MsgRouter.VDocRoutingEngine.1 *DocType``` I have read here followed the suggestion but now I do not get any errors but my m

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I have implemented a csv record mapper to read files into the production in ensemble but it errors every time I read a file with headers on the columns as these are not recognised as the specified data types .Is there a way to ignore the headers when reading in values from a file with headers. Please note this have been built using the pre built components.

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Dear All,

I’m having trouble creating the following business service. It’s intention is to pick up an CSV via FTP and pass it to a Business process that transforms it to a HL7 message.

I have created a record map for the CSV file, which I am trying to call in the business service and parse it into a new message class, which can be transformed in the business process.

Please could you advise:

Business Service:

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Hi, We have a business process that receives back a character stream that has csv content from a SOAP Operation call. I was hoping to make use of the record mapper to map the content to a record map to be able to process the transactions.

I only see examples/documentation of how to use a File or ftp business operation/service to map the stream to a record map.

Is this at all possible to get the csv stream into a record map batch object.

Regards

Thomas

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A short post for now to answer a question that came up. In post two of this series I included graphs of performance data extracted from pButtons. I was asked off-line if there is a quicker way than cut/paste to extract metrics for mgstat etc from a pButtons .html file for easy charting in Excel.

See: - Part 2 - Looking at the metrics we collected

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