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TN Appsvr116 Reading a CSV file into AppServer UDA's

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How to Read a CSV file into UDA's

Description

 

This is a simple scripting example to demonstrate how to read a CSV file into UDA arrays.  The scripting uses QuickScript .NET functions and is intended for Application Server.

 

Author

Rich Brooks
Publish Date 7/9/2014

Applies to Software

Application Server

Applies to Version

 3.1 SP3 Patch1 and greater

Applies to System/Module

 Scripting

Article Version

01.00.00

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Before you Begin

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Create the required UDA array for each column in the CSV file, if not already existing. 

Detailed Steps

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There are many options in .NET for reading CSV files. The scripting example given here uses 
the System.IO.StreamReader class. It is built for a three column CSV file as shown below. ​

pic1.png

 

 

Each line of the CSV file is read in using the ReadLine method. The columns are parsed out 
using the various String methods. A while loop looks for the end of the file using the Peek 
method. Below is a screen capture from the IDE.

pic2.png

 

 

The following is the example scripting used.

 

dim s as string; 
dim sr as System.IO.StreamReader; 
dim stringlength as integer;
dim firststring as string;
dim secondstring as string;
dim thirdstring as string;
dim remainderstring as string;
dim index as integer;
 
sr = System.IO.File.OpenText("c:\csvtest2.txt"); 
 
while sr.Peek() > -1
index = index + 1; 
s = sr.ReadLine();
LogMessage(s);
stringlength = StringInString(s, ",", 1, 0);
firststring = StringMid(s,1,stringlength-1);
me.FirstUDA[index] = firststring;
remainderstring = StringRight(s, StringLen(s) - stringlength);
stringlength = StringInString(remainderstring, ",", 1, 0);
secondstring = StringMid(remainderstring,1,stringlength-1);
me.SecondUDA[index] = secondstring;
thirdstring = StringRight(remainderstring, StringLen(remainderstring) -
stringlength);
me.ThirdUDA[index] = thirdstring;
endwhile; 
 
me.ParseIT = 0;

 

 

The object hosting the script was deployed from the IDE and tested out from the Object Viewer. 
Each column has been parsed out to their respective UDA.​

pic3.png